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simbajigege/book2skills
Create best skills based on best books
History
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skills/agent-memory-implementation/SKILL.md
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skills/stock-picking-by-common-stocks-uncommon-profits/SKILL.md
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203GitHub stars
5stars in 7 days
38skills in this repository
0commits in 30 days
Heat
3.3- Star growth, last 7 daysNot available
- Star growth, last 24 hoursNot available
- Rank movement, last 7 daysNot available
- Commits, last 30 daysNot available
- Accounts asking about it through MCP, last 7 daysNot available
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Heat never changes the order by stars, and sponsorship never touches it. How heat works
Stars over time
30-day change not yet available: not enough history.
Individual skills in this repository
- agent-memory-implementation
skills/agent-memory-implementation - agent-tool-builder
skills/agent-tool-builder - analyzing-financial-statements
skills/analyzing-financial-statements - business-adventures-analysis-brooks
skills/business-adventures-analysis-brooks - clash-cultures-investment-speculation-bogle
skills/clash-cultures-investment-speculation-bogle - common-sense-index-investing-bogle
skills/common-sense-index-investing-bogle - compact-memory-implementation
skills/compact-memory-implementation - contagious-viral-content-berger
skills/contagious-viral-content-berger - contract-drafting-and-review-guidance-china-law
skills/contract-drafting-and-review-guidance-china-law - creating-superfans-hodak
skills/creating-superfans-hodak - customers-yachts-wall-street-schwed
skills/customers-yachts-wall-street-schwed - essays-in-persuasion-keynes
skills/essays-in-persuasion-keynes - analyzing-financial-reports
skills/finacial-statement-reading - folded-memory-implementation
skills/folded-memory-implementation - harness-step1-create-agents-md
skills/harness-step1-create-agent-md - harness-step2-fill-docs
skills/harness-step2-fill-docs - harness-step3-session-management
skills/harness-step3-session-management - html-line-svg
skills/html-line-svg - intelligent-investor-graham
skills/intelligent-investor-graham - investing-from-darwin
skills/investing-from-darwin - jab-jab-right-hook-vaynerchuk
skills/jab-jab-right-hook-vaynerchuk - langchain-tool-builder
skills/langchain-tool-builder - most-important-thing-in-investing-howard-marks
skills/most-important-thing-in-investing-howard-marks - munger-mental-models-worldly-wisdom
skills/munger-mental-models-worldly-wisdom - outsiders-ceo-capital-allocation-thorndike
skills/outsiders-ceo-capital-allocation-thorndike - perennial-seller-holiday
skills/perennial-seller-holiday - query-loop-implementation
skills/query-loop-implementation - seo-metadata-audit
skills/seo-metadata-audit - session-dream
skills/session-dream - show-your-work-kleon
skills/show-your-work-kleon - skill-creator
skills/skill-creator - skill-to-workflow
skills/skill-to-workflow - steal-like-an-artist-kleon
skills/steal-like-an-artist-kleon - stock-picking-by-common-stocks-uncommon-profits
skills/stock-picking-by-common-stocks-uncommon-profits - storybrand-messaging-framework
skills/storybrand-messaging-framework - this-is-marketing-godin
skills/this-is-marketing-godin - tool-permission-system
skills/tool-permission-system - war-of-art-pressfield
skills/war-of-art-pressfield
How it works
agent-memory-implementation
When your agent uses it
Restructures a chaotic or overgrown MEMORY.md into a clean 2-layer architecture based on how Claude Code's autoDream system organizes memory — a lightweight pointer index (always loaded) and topic files (loaded on demand). Stale or superseded memories are deleted or corrected in place — not archived. Use this skill whenever the user says "clean up MEMORY.md", "reorganize my memory files", "MEMORY.md is getting too long", "fix my memory structure", or when you observe that MEMORY.md exceeds 200 lines, contains full paragraphs instead of pointers, or mixes index entries with topic content.
What it loads into context
Frontmatter
147 tokensAlways available to the agent
SKILL.md
2,179 tokensWhen the skill is activated
Reference documents
2,136 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- The 2-Layer Architecture
- How Claude Code Writes Memories Automatically
- Memory Type Definitions
- Restructuring Process
- Common anti-patterns to fix
Scripts executed separately
scripts/memory_audit.py
Files
LICENSE.txtdoc198 bytesREADME.mddoc1,961 bytesSKILL.mdcore9,528 bytesSKILL.mdcore9,528 bytesSKILL.mdcore9,528 bytesreferences/memory-type-definitions.mddoc8,167 bytesscripts/memory_audit.pyruns10,133 bytes
Read SKILL.md
# memory-architect
Restructures memory files into the 2-layer architecture that Claude Code's `autoDream` service uses internally — designed to keep the always-loaded index small while making deeper knowledge accessible on demand.
## The 2-Layer Architecture
Claude Code's memory system (`services/autoDream/`) uses this structure:
```
MEMORY.md ← Layer 1: Always loaded, pointer-only index (~200 lines max)
├── topic-file.md ← Layer 2: Domain knowledge, loaded when relevant
└── another-topic.md
```
agent-tool-builder
When your agent uses it
Define agent tools using the fail-closed design pattern — unified name/schema/security/execution in one class, with three-layer execution (validate → permission → call). Use this skill whenever the user wants to define a new agent tool, add permission or validation logic to an existing tool, or asks about 'build a tool', '定义一个工具', 'create a tool for X', '工具定义'. Framework-agnostic: works with hermes-agent, LangChain, or any Python agent framework.
What it loads into context
Frontmatter
109 tokensAlways available to the agent
SKILL.md
1,998 tokensWhen the skill is activated
Reference documents
371 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Why this pattern matters
- Workflow
- Output template
- Common security property patterns
- Output design principles
- Reference files
Scripts executed separately
references/agent_tool_base.py
Files
LICENSEasset176 bytesREADME.mddoc1,670 bytesSKILL.mdcore8,531 bytesSKILL.mdcore8,531 bytesSKILL.mdcore8,531 bytesreferences/agent_tool_base.pyruns8,043 bytes
Read SKILL.md
# Agent Tool Builder
Helps define agent tools using the fail-closed design pattern:
a unified class that co-locates identity, schema, security properties, and execution logic,
with fail-closed defaults so new tools are safe by default.
## Why this pattern matters
Three things that ad-hoc tool definitions lack:
1. **Fail-closed defaults** — `is_read_only`, `is_destructive`, `is_concurrency_safe` all default to False.
A tool that forgets to declare its properties is conservatively treated as write-capable.
2. **Layered execution** — `validate_semantics → check_permissions → _call` are separate methods,
so validation logic doesn't bleed into permission logic or business logic.
3. **Self-contained definition** — schema, description, security metadata, and execution all liveanalyzing-financial-statements
When your agent uses it
Apply Xiao Xing's financial statement analysis framework from 一本书读懂财报 (Understanding Financial Reports in One Book). Use this skill whenever a user wants to assess whether a company's assets are of high quality, verify whether reported profits are real, diagnose cash flow health, evaluate solvency and turnover efficiency, or judge overall investment value via ROIC. Covers industry context analysis, asset & liability quality check, profit authenticity verification, cash flow diagnosis, solvency analysis, and good-company composite scoring. Trigger phrases: "analyze financials", "is this company healthy", "are profits real", "cash flow diagnosis", "ROIC analysis", "red flags in balance sheet", "good company test", "财报分析", "利润质量", "现金流健康".
What it loads into context
Frontmatter
235 tokensAlways available to the agent
SKILL.md
1,725 tokensWhen the skill is activated
Reference documents
34,396 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Skill 目的
- 调用时机
- 路由规则
- 执行方式
- 多模块联合输出格式
- Subskill 状态
- 署名规则
Files
LICENSE.txtdoc557 bytesREADME.mddoc3,212 bytesSKILL.mdcore6,836 bytesSKILL.mdcore6,836 bytesanalyzing-financial-statements.zipasset61,367 bytessubskills/m1_industry_analysis/module.mddoc9,874 bytessubskills/m1_industry_analysis/references/case_library.mddoc11,248 bytessubskills/m2_asset_debt_analysis/module.mddoc15,273 bytessubskills/m2_asset_debt_analysis/references/case_library.mddoc10,849 bytessubskills/m3_profit_analysis/module.mddoc7,718 bytessubskills/m3_profit_analysis/references/case_library.mddoc10,455 bytessubskills/m4_cashflow_analysis/module.mddoc5,181 bytessubskills/m4_cashflow_analysis/references/case_library.mddoc10,993 bytessubskills/m5_solvency_analysis/module.mddoc5,497 bytessubskills/m5_solvency_analysis/references/case_library.mddoc12,166 bytessubskills/m6_roic_analysis/module.mddoc5,597 bytessubskills/m6_roic_analysis/references/case_library.mddoc12,871 bytes
Read SKILL.md
# Skill: 财报透视——识别上市公司资产、利润、现金流质量
**知识来源**：《一本书读懂财报》肖星著，清华大学经管学院教授，2019年修订版
**架构说明**：本文件为总调度器（orchestrator），具体分析由各 subskill 独立执行
```
SKILL.md（总调度器，你在这里）
└── subskills/
├── m1_industry_analysis/ ← 行业背景分析
│ ├── module.md
│ └── references/case_library.md
├── m2_asset_debt_analysis/ ← 资产质量检查
│ ├── module.md
│ └── references/case_library.mdbusiness-adventures-analysis-brooks
When your agent uses it
Use Business Adventures for "why did this fail?", "analyze this crisis", "what pattern applies?", or "what would Brooks notice?"
What it loads into context
Frontmatter
61 tokensAlways available to the agent
SKILL.md
2,420 tokensWhen the skill is activated
Reference documents
10,691 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Skill Purpose
- Core Principle
- Workflow Inventory
- When to Use This Skill
- Routing Rules
- Execution Rules
- Multi-Module Output Format
- Subskill Status
- CITATION RULES
- Do Not
Files
LICENSE.txtdoc196 bytesREADME.mddoc1,771 bytesSKILL.mdcore10,168 bytesSKILL.mdcore10,168 bytesquotes/corporate-strategy-quotes.mddoc4,541 bytesquotes/investor-behavior-quotes.mddoc4,810 bytesquotes/market-dynamics-quotes.mddoc4,224 bytesquotes/risk-crisis-quotes.mddoc4,610 bytesquotes/wall-street-wisdom-quotes.mddoc1,389 bytessubskills/m1_failure_diagnosis/module.mddoc4,532 bytessubskills/m1_failure_diagnosis/references/case_library.mddoc938 bytessubskills/m2_market_panic/module.mddoc3,582 bytessubskills/m2_market_panic/references/case_library.mddoc928 bytessubskills/m3_regulatory_risk/module.mddoc3,422 bytessubskills/m3_regulatory_risk/references/case_library.mddoc880 bytessubskills/m4_product_innovation/module.mddoc3,367 bytessubskills/m4_product_innovation/references/case_library.mddoc828 bytessubskills/m5_governance_accountability/module.mddoc3,384 bytessubskills/m5_governance_accountability/references/case_library.mddoc755 bytessubskills/m6_fraud_institutional_fragility/module.mddoc3,402 bytessubskills/m6_fraud_institutional_fragility/references/case_library.mddoc696 bytes
Read SKILL.md
# Business Adventures Analysis — Skill (John Brooks)
**Knowledge source:** *Business Adventures* by John Brooks.
**Architecture:** Orchestrator + 6 subskills. The main `SKILL.md` routes the user query; subskills execute the diagnostic workflows and own their reference IDs.
```text
business-adventures-analysis-brooks/
├── SKILL.md
├── quotes/
└── subskills/
├── m1_failure_diagnosis/
│ ├── module.md
│ └── references/case_library.md
├── m2_market_panic/clash-cultures-investment-speculation-bogle
When your agent uses it
Apply John Bogle stewardship capitalism logic to separate investing from speculation, diagnose financial-system costs, and critique Wall Street incentives.
What it loads into context
Frontmatter
63 tokensAlways available to the agent
SKILL.md
2,073 tokensWhen the skill is activated
Reference documents
1,849 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- When to Use This Skill
- Core Principle
- Workflow Inventory
- Architecture Justification
- DIMENSION 1: Real Market vs Expectations Market
- DIMENSION 2: Relentless Cost Arithmetic
- DIMENSION 3: Agency and Fiduciary Conflict
- DIMENSION 4: Stewardship Reform
- Query Response Framework
- Output Format
- Critical Reminders
- CITATION RULES
Files
LICENSE.txtdoc196 bytesREADME.mddoc1,277 bytesSKILL.mdcore9,845 bytesSKILL.mdcore9,845 bytesSKILL.mdcore9,845 bytesSKILL.mdcore9,845 bytesquotes/investment-vs-speculation-quotes.mddoc4,070 bytesquotes/wall-street-quotes.mddoc2,900 bytes
Read SKILL.md
# The Clash of the Cultures — Stewardship Investing Skill
**Knowledge source:** *The Clash of the Cultures* by John C. Bogle.
## Overview
Use this skill to distinguish long-term investing from short-term speculation and to critique financial products, market behavior, or policy proposals through Bogle's stewardship lens. It supports investors, educators, analysts, and policy-minded users evaluating whether activity creates real value or extracts value through turnover, fees, leverage, and agency conflicts.
## When to Use This Skill
Use this skill when the user asks:
- "Is this investing or speculation?"
- "How would Bogle view high-frequency trading, hedge funds, or derivatives?"common-sense-index-investing-bogle
When your agent uses it
Apply John Bogle index investing rules for low-cost funds, asset allocation, fees, taxes, ETFs, advisers, and buy-hold discipline.
What it loads into context
Frontmatter
65 tokensAlways available to the agent
SKILL.md
2,069 tokensWhen the skill is activated
Reference documents
1,540 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- When to Use This Skill
- Core Principle
- Workflow Inventory
- Architecture Justification
- DIMENSION 1: Broad Market Ownership
- DIMENSION 2: Cost Matters
- DIMENSION 3: Reversion and Performance Chasing
- DIMENSION 4: Simple Allocation and Holding Discipline
- Query Response Framework
- Output Format
- Critical Reminders
- CITATION RULES
Files
LICENSE.txtdoc196 bytesREADME.mddoc1,292 bytesSKILL.mdcore9,232 bytesSKILL.mdcore9,232 bytesquotes/cost-matters-quotes.mddoc1,901 bytesquotes/index-fund-quotes.mddoc2,133 bytesquotes/investing-wisdom-quotes.mddoc1,460 bytes
Read SKILL.md
# The Little Book of Common Sense Investing — Index Investing Skill
**Knowledge source:** *The Little Book of Common Sense Investing* by John C. Bogle.
## Overview
Use this skill to evaluate investment fund choices, portfolio simplicity, cost drag, index fund discipline, asset allocation, and buy-hold behavior using Bogle's common-sense investing framework. It is educational decision support, not personalized financial advice.
## When to Use This Skill
Use this skill when the user asks:
- "Should I use an index fund or active fund?"
- "Are these fund fees too high?"compact-memory-implementation
When your agent uses it
Developer implementation guide for adding compact memory to an Agent — covers fork agent pattern for compaction, trigger strategy, summary format design, and memory restoration in subsequent sessions. Use when a developer asks how to implement compact memory, context compression, or memory persistence in their agent built with Claude Agent SDK or Anthropic API.
What it loads into context
Frontmatter
72 tokensAlways available to the agent
SKILL.md
2,290 tokensWhen the skill is activated
Reference documents
397 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Step 1 — Understand the setup
- Step 2 — When to trigger compact
- Step 3 — Fork agent for compaction
- Step 4 — How to compact: format and prompt
- Step 5 — How to use after compacting: memory restoration
- Step 6 — Full agent loop
- Step 7 — Chaining compacts across sessions
- Common pitfalls
Scripts executed separately
scripts/pre_compact_extract.py
Files
README.mddoc1,862 bytesSKILL.mdcore10,010 bytesSKILL.mdcore10,010 bytesSKILL.mdcore10,010 bytesSKILL.mdcore10,010 bytesSKILL.mdcore10,010 bytesSKILL.mdcore10,010 bytesSKILL.mdcore10,010 bytesSKILL.mdcore10,010 bytesSKILL.mdcore10,010 bytesSKILL.mdcore10,010 bytesscripts/pre_compact_extract.pyruns17,613 bytes
Read SKILL.md
# compact-memory-implementation
A developer guide for building compact memory into an Agent: detect when to compress, fork a compactor sub-agent, produce a structured summary, and restore it in the next session.
## Step 1 — Understand the setup
Before designing anything, clarify:
- **SDK / language**: Claude Agent SDK? Direct Anthropic API? Python or TypeScript?
- **Agent architecture**: single-agent loop, multi-agent, tool-calling?
- **Session model**: one long-running session or multiple short sessions?
- **What must survive compaction**: task state, decisions, tool results, conversation history?
This determines which pattern fits.contagious-viral-content-berger
When your agent uses it
Apply Jonah Berger's STEPPS framework. Trigger on: "why is this not spreading?", "make this campaign contagious", "diagnose viral content".
What it loads into context
Frontmatter
65 tokensAlways available to the agent
SKILL.md
2,684 tokensWhen the skill is activated
Reference documents
1,017 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- When to Use This Skill
- The STEPPS Framework
- Agent Instructions
- Query Types This Skill Handles
- Key Principles to Enforce
- Architecture Justification
- Workflow Inventory
- Query Response Framework
- Output Format
- Critical Reminders
- CITATION RULES
Files
LICENSE.txtdoc196 bytesREADME.mddoc1,162 bytesSKILL.mdcore12,531 bytesSKILL.mdcore12,531 bytesSKILL.mdcore12,531 bytesSKILL.mdcore12,531 bytesquotes/campaign-diagnosis-quotes.mddoc1,899 bytesquotes/stepps-framework-quotes.mddoc1,527 bytes
Read SKILL.md
## Overview
This skill encodes Jonah Berger's STEPPS framework from *Contagious: Why Things Catch On*. Based on years of scientific research at Wharton, it explains why certain content, products, and ideas spread — and provides actionable principles for engineering virality.
**Core insight:** Virality isn't born, it's made. The message matters more than the messenger. Any product or idea — even a boring blender — can be engineered to spread.
**Key fact:** 93% of word of mouth happens offline, not on social media. The platform is not the strategy; the psychology of sharing is.
## When to Use This Skill
Use this skill for queries that match the trigger phrases in the description and require applying the decision framework from *Contagious: Why Things Catch On* rather than summarizing the book.
## The STEPPS Framework
contract-drafting-and-review-guidance-china-law
When your agent uses it
Apply China contract drafting review with San Guan Si Bu Fa. Trigger on contract review, drafting, clauses, or deal structure.
What it loads into context
Frontmatter
61 tokensAlways available to the agent
SKILL.md
3,913 tokensWhen the skill is activated
Reference documents
1,351 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- When to Use This Skill
- HOW TO USE THIS SKILL
- CITATION RULES
- Core Principle
- Workflow Inventory
- Architecture Justification
- DIMENSION 1: Communicate Needs
- DIMENSION 2: Macro Transaction Structure
- DIMENSION 3: Meso Contract Structure
- DIMENSION 4: Micro Clause Expression and Three-Points-One-Line
- DIMENSION 5: Review, Submit, and Risk Communication
- Query Response Framework
- Output Format
- Critical Reminders
Files
LICENSE.txtdoc196 bytesREADME.mddoc1,396 bytesSKILL.mdcore18,972 bytesSKILL.mdcore18,972 bytesSKILL.mdcore18,972 bytesquotes/contract-drafting-quotes.mddoc2,374 bytesquotes/contract-review-quotes.mddoc1,488 bytes
Read SKILL.md
## Overview
This skill applies the Chinese contract drafting and review method known as "三观四步法" from *合同起草审查指南* (T/CAB 0121-2021). It helps lawyers, in-house counsel, business operators, and legal students structure contract review, draft contract frameworks, identify risks, and produce review comments under a China-law lens.
This skill is a workflow and checklist tool. It does not replace current legal research or advice from a licensed lawyer.
## When to Use This Skill
- The user asks to review a contract, draft a contract, or identify contract risks.
- The user asks how to structure a transaction before drafting documents.
- The user asks whether a contract form, clause order, or clause wording is appropriate.
- The user asks for a checklist for contract parties, subject matter, procedures, performance, breach, dispute resolution, or signing requirements.
- The contract is governed by PRC law or the user asks for China-law contract drafting logic.
creating-superfans-hodak
When your agent uses it
Apply Brittany Hodak's SUPER Model for customer loyalty, referrals, word of mouth, personalization, service recovery, and scalable customer experience.
What it loads into context
Frontmatter
59 tokensAlways available to the agent
SKILL.md
1,864 tokensWhen the skill is activated
Reference documents
17,256 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Skill Purpose
- Workflow Inventory
- When to Use This Skill
- Routing Rules
- Execution Rules
- Citation Rules
- Multi-Module Output Format
- Subskill Status
- Do Not
Files
LICENSE.txtdoc204 bytesREADME.mddoc1,707 bytesSKILL.mdcore8,159 bytesSKILL.mdcore8,159 bytescreating-superfans-hodak.zipasset47,820 bytesquotes/apology-recovery-quotes.mddoc4,528 bytesquotes/customer-understanding-quotes.mddoc4,282 bytesquotes/exceeding-expectations-quotes.mddoc4,212 bytesquotes/main-framework-quotes.mddoc3,828 bytesquotes/personalization-quotes.mddoc4,335 bytessubskills/m1_superfan_diagnosis/module.mddoc4,319 bytessubskills/m1_superfan_diagnosis/references/case_library.mddoc3,828 bytessubskills/m2_story_positioning/module.mddoc3,824 bytessubskills/m2_story_positioning/references/case_library.mddoc3,828 bytessubskills/m3_customer_understanding/module.mddoc3,685 bytessubskills/m3_customer_understanding/references/case_library.mddoc4,282 bytessubskills/m4_personalization/module.mddoc3,630 bytessubskills/m4_personalization/references/case_library.mddoc4,335 bytessubskills/m5_exceed_expectations/module.mddoc3,669 bytessubskills/m5_exceed_expectations/references/case_library.mddoc4,212 bytessubskills/m6_service_recovery/module.mddoc4,041 bytessubskills/m6_service_recovery/references/case_library.mddoc4,528 bytessubskills/m7_repeatable_supergroups/module.mddoc4,234 bytessubskills/m7_repeatable_supergroups/references/case_library.mddoc4,212 bytes
Read SKILL.md
# Creating Superfans - Skill (Brittany Hodak)
**Knowledge source:** *Creating Superfans: Turning Everyday Customers into Enthusiastic Advocates* by Brittany Hodak, 2023.
**Architecture:** Orchestrator + 7 subskills. This file routes the user query; subskills execute the actual workflows.
```text
creating-superfans-hodak/
├── SKILL.md
└── subskills/
├── m1_superfan_diagnosis/
│ ├── module.md
│ └── references/case_library.md
├── m2_story_positioning/
│ ├── module.mdcustomers-yachts-wall-street-schwed
When your agent uses it
Analyze Wall Street conflicts. Trigger on: "can I trust this advisor?", "is this forecast reliable?", "whose interest does this serve?".
What it loads into context
Frontmatter
64 tokensAlways available to the agent
SKILL.md
630 tokensWhen the skill is activated
Reference documents
3,242 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Skill Purpose
- Routing Rules
- Execution Rules
- Multi-Module Output Format
- Subskill Status
- CITATION RULES
- Critical Reminders
Files
LICENSE.txtdoc196 bytesREADME.mddoc1,289 bytesSKILL.mdcore2,776 bytesSKILL.mdcore2,776 bytesSKILL.mdcore2,776 bytesSKILL.mdcore2,776 bytesquotes/conflicts-incentives-quotes.mddoc1,677 bytesquotes/forecasting-speculation-quotes.mddoc1,643 bytessubskills/broker-activity.mddoc1,878 bytessubskills/complexity-racket.mddoc2,154 bytessubskills/conflict-diagnostic.mddoc2,229 bytessubskills/forecasting-illusion.mddoc2,649 bytessubskills/speculator-psychology.mddoc2,015 bytes
Read SKILL.md
# Where Are the Customers' Yachts? Conflict Orchestrator
## Skill Purpose
Apply Fred Schwed Jr.'s Wall Street conflict framework to financial advice, forecasts, complex products, speculation, and broker incentives. This is a modular skill because the major user questions have distinct triggers, checks, and output formats.
## Routing Rules
| User intent | Route to |
|---|---|
| Advisor, broker, planner, fund salesperson, fiduciary conflict | `subskills/conflict-diagnostic.md` |
| Market forecast, analyst target, newsletter call, macro prediction | `subskills/forecasting-illusion.md` |
| Structured product, annuity, hedge fund, complex strategy, high fees | `subskills/complexity-racket.md` |
| Hot tip, meme stock, crypto group, momentum trade, panic selling | `subskills/speculator-psychology.md` |essays-in-persuasion-keynes
When your agent uses it
Apply Keynes policy reasoning. Trigger on: "will austerity work?", "inflation or deflation?", "analyze this economic crisis".
What it loads into context
Frontmatter
63 tokensAlways available to the agent
SKILL.md
684 tokensWhen the skill is activated
Reference documents
3,604 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Skill Purpose
- Routing Rules
- Execution Rules
- Multi-Module Output Format
- Subskill Status
- CITATION RULES
- Critical Reminders
Files
LICENSE.txtdoc196 bytesREADME.mddoc1,243 bytesSKILL.mdcore2,999 bytesSKILL.mdcore2,999 bytesSKILL.mdcore2,999 bytesSKILL.mdcore2,999 bytesquotes/demand-confidence-quotes.mddoc2,090 bytesquotes/policy-diagnosis-quotes.mddoc1,660 bytessubskills/aggregate-demand.mddoc2,924 bytessubskills/economic-persuasion.mddoc3,394 bytessubskills/fixed-rate-trap.mddoc2,197 bytessubskills/inflation-deflation.mddoc2,190 bytessubskills/transfer-problem.mddoc2,076 bytes
Read SKILL.md
# Essays in Persuasion: Keynes Policy Reasoning Orchestrator
## Skill Purpose
Apply John Maynard Keynes's policy reasoning from *Essays in Persuasion* to contemporary macroeconomic questions. This is a modular skill because users may ask separate, independently triggered questions about debt capacity, inflation versus deflation, fixed exchange-rate traps, demand shortfalls, or economic persuasion.
## Routing Rules
| User intent | Route to |
|---|---|
| Sovereign debt, reparations, sanctions, fiscal capacity, creditor demands | `subskills/transfer-problem.md` |
| Inflation, deflation, unemployment tradeoffs, real debt burdens | `subskills/inflation-deflation.md` |
| Gold standard, currency pegs, euro constraints, devaluation | `subskills/fixed-rate-trap.md` |
| Recession, austerity, stimulus, liquidity trap, animal spirits | `subskills/aggregate-demand.md` |analyzing-financial-reports
When your agent uses it
Analyzes Chinese public company financial statements (balance sheet, income statement, cash flow) to assess asset quality, profit authenticity, cash flow health, solvency, and overall investment value. Use when the user provides financial data or a company name and asks whether financials are healthy, whether profits are real, whether there are red flags, or whether the company is a good investment. Based on the book "一本书读懂财报" by Xiao Xing (Tsinghua University).
What it loads into context
Frontmatter
108 tokensAlways available to the agent
SKILL.md
1,599 tokensWhen the skill is activated
Reference documents
33,671 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 署名规则
- Skill 目的
- 调用时机
- 路由规则
- 执行方式
- 多模块联合输出格式
- Subskill 状态
Files
SKILL.mdcore6,269 bytessubskills/m1_industry_analysis/module.mddoc9,874 bytessubskills/m1_industry_analysis/references/case_library.mddoc11,248 bytessubskills/m2_asset_debt_analysis/module.mddoc15,273 bytessubskills/m2_asset_debt_analysis/references/case_library.mddoc10,849 bytessubskills/m3_profit_analysis/module.mddoc7,718 bytessubskills/m3_profit_analysis/references/case_library.mddoc10,455 bytessubskills/m4_cashflow_analysis/module.mddoc5,181 bytessubskills/m4_cashflow_analysis/references/case_library.mddoc10,993 bytessubskills/m5_solvency_analysis/module.mddoc5,497 bytessubskills/m5_solvency_analysis/references/case_library.mddoc12,166 bytessubskills/m6_roic_analysis/module.mddoc5,597 bytessubskills/m6_roic_analysis/references/case_library.mddoc12,871 bytes
Read SKILL.md
# Skill: 财报透视——识别上市公司资产、利润、现金流质量
**知识来源**：《一本书读懂财报》肖星著，清华大学经管学院教授，2019年修订版
**架构说明**：本文件为总调度器（orchestrator），具体分析由各 subskill 独立执行
```
SKILL.md（总调度器，你在这里）
└── subskills/
├── m1_industry_analysis/ ← 行业背景分析
│ ├── module.md
│ └── references/case_library.md
├── m2_asset_debt_analysis/ ← 资产质量检查
│ ├── module.md
│ └── references/case_library.mdfolded-memory-implementation
When your agent uses it
Developer implementation guide for building hierarchical (folded) memory into an Agent. Three-layer architecture where recent turns stay detailed, older content compresses into episodes, and the oldest distills into durable semantic facts. Use when compact-memory-implementation is not retaining enough, or when agents need to recall decisions from many sessions ago.
What it loads into context
Frontmatter
73 tokensAlways available to the agent
SKILL.md
3,343 tokensWhen the skill is activated
Reference documents
418 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- The core idea
- Step 1 — Understand the setup
- Step 2 — Three-layer architecture
- Step 3 — Data structures
- Step 4 — Fork agent: L1 → L2 (episode compactor)
- Step 5 — Fork agent: L2 → L3 (semantic extractor)
- Step 6 — When to trigger each layer
- Step 7 — Recall: build system prompt from layers
- Step 8 — Full agent loop
- Step 9 — Persistence
- When to use folded memory vs. flat compact
- Common pitfalls
Files
LICENSE.txtdoc210 bytesREADME.mddoc1,983 bytesSKILL.mdcore13,793 bytesSKILL.mdcore13,793 bytesSKILL.mdcore13,793 bytesSKILL.mdcore13,793 bytesSKILL.mdcore13,793 bytesSKILL.mdcore13,793 bytesSKILL.mdcore13,793 bytesSKILL.mdcore13,793 bytes
Read SKILL.md
# folded-memory-implementation
A developer guide for hierarchical memory: instead of replacing history with a single flat summary, maintain three memory layers at different levels of detail. Old content is compressed more aggressively — not discarded. Each layer is independently stored and selectively recalled.
**Prerequisite**: read `compact-memory-implementation` first. Folded memory builds on the same fork-agent and trigger concepts.
---
## The core idea
```
L1 Working memory [ turn 38..50 ] — raw turns, full detail, short window
L2 Episodic memory [ turn 10..37 ] — compressed episodes, medium detail
L3 Semantic memory [ turn 1..9 ] — abstract facts and decisions, sparseharness-step1-create-agents-md
When your agent uses it
Harness Engineering 第一阶段：扫描现有项目，生成 AGENTS.md（目录文件）和完整的 docs/ 知识库结构。 当用户想要"为项目添加 agent 支持"、"让 AI 更好地理解我的项目"、"开始 harness engineering"、 "创建 AGENTS.md"、"搭建 agent 文档结构"、"让 Claude Code 更好地工作"时，立即使用此 skill。 也适用于用户说"帮我把项目文档整理好给 agent 用"、"我想开始用 AI agent 开发"、 "梳理这个项目能解决什么业务问题"或要求建立 business-solution.md 等场景。
What it loads into context
Frontmatter
165 tokensAlways available to the agent
SKILL.md
2,375 tokensWhen the skill is activated
Reference documents
4,555 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 目标
- 执行步骤
- 质量检验
- 完成后告知用户
Files
LICENSEasset4,220 bytesREADME.mddoc2,364 bytesSKILL.mdcore8,517 bytesSKILL.mdcore8,517 bytesen/harness-step1-create-agent-md.mddoc7,949 bytesexamples/en.yamlasset4,328 bytesexamples/zh.yamlasset4,020 byteszh/harness-step1-create-agent-md.mddoc7,364 bytes
Read SKILL.md
# Harness Step 1: 创建 AGENTS.md 与 docs/ 知识库
## 目标
为项目建立 agent 可读的知识库地基：
- 一份简短的 `AGENTS.md`（~100 行，作为"目录"而非百科全书）
- 一套 `docs/` 目录结构，存放真正的知识
**核心原则**：agent 看不到的东西就不存在。项目的业务定位、目标用户、解决的问题、架构决策、命名约定和技术选型，必须以文件形式存在于仓库中。
---
## 执行步骤
harness-step2-fill-docs
When your agent uses it
Harness Engineering 第一阶段第二步：深度分析项目代码，填充业务解决方案、架构、约定、技术决策和质量标准等 docs/ 知识库内容。 在 harness-step1-create-agents-md 创建好目录骨架之后使用。当用户说"填充文档内容"、 "完善 docs/ 文件"、"让文档有实质内容"、"分析项目写架构文档"、"写 ARCHITECTURE.md"、 "写技术决策文档"、"从业务视角理解项目"、"完善 business-solution.md"时，立即使用此 skill。 前置条件：项目中已有 AGENTS.md 和 docs/ 目录骨架（由 harness-step1 创建）。
What it loads into context
Frontmatter
177 tokensAlways available to the agent
SKILL.md
3,356 tokensWhen the skill is activated
Reference documents
4,313 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 目标
- 执行步骤
- 质量检验
- 完成后告知用户
Files
LICENSEasset4,220 bytesREADME.mddoc2,506 bytesSKILL.mdcore11,933 bytesSKILL.mdcore11,933 bytesSKILL.mdcore11,933 bytesSKILL.mdcore11,933 bytesSKILL.mdcore11,933 bytesSKILL.mdcore11,933 bytesSKILL.mdcore11,933 bytesen/harness-step2-fill-docs.mddoc7,632 bytesexamples/en.yamlasset4,180 bytesexamples/zh.yamlasset3,700 byteszh/harness-step2-fill-docs.mddoc7,041 bytes
Read SKILL.md
# Harness Step 2: 填充 docs/ 知识库内容
## 目标
通过深度阅读项目代码，将隐藏在代码里的业务能力、用户流程、架构知识、命名约定、技术决策，
显式地写入 docs/ 各文件。让 agent 在任何 session 都能快速理解项目全貌。
**核心原则**：推断出来的内容要标注来源，无法确定的内容标注「待补充」，
不要用模糊的占位符糊弄过去。
---
## 执行步骤
harness-step3-session-management
When your agent uses it
Harness Engineering 第二阶段：建立跨 session 状态管理，解决 agent 每次对话失忆的问题。 创建 tasks.json（任务清单）、progress.md（进度记录）、init.sh（环境初始化脚本）三个文件。 当用户说"建立任务管理"、"让 agent 记住进度"、"创建 tasks.json"、"跨 session 保持状态"、 "agent 每次都不记得上次做了什么"、"建立 progress 文件"、"初始化状态管理"时，立即使用此 skill。 前置条件：harness-step1 和 harness-step2 已完成（项目有 AGENTS.md 和 docs/ 知识库）。
What it loads into context
Frontmatter
158 tokensAlways available to the agent
SKILL.md
2,627 tokensWhen the skill is activated
Reference documents
4,391 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 目标
- 执行步骤
- 质量检验
- 完成后告知用户
Files
LICENSEasset4,220 bytesREADME.mddoc2,597 bytesSKILL.mdcore9,442 bytesSKILL.mdcore9,442 bytesSKILL.mdcore9,442 bytesSKILL.mdcore9,442 bytesSKILL.mdcore9,442 bytesSKILL.mdcore9,442 bytesSKILL.mdcore9,442 bytesSKILL.mdcore9,442 bytesen/harness-step3-session-management.mddoc8,016 bytesexamples/en.yamlasset4,533 bytesexamples/zh.yamlasset4,060 byteszh/harness-step3-session-management.mddoc7,258 bytes
Read SKILL.md
# Harness Step 3: 建立跨 Session 状态管理
## 目标
创建三个文件，让 agent 在任何新 session 开始时能在 30 秒内恢复工作状态：
- `init.sh`：环境初始化脚本，验证项目可以正常启动
- `tasks.json`：当前任务清单，agent 的工作指令来源
- `progress.md`：人类可读的进度摘要，记录每次 session 的关键信息
**核心原则**：状态靠文件传递，不靠 agent 的记忆。git log 是主记录，这三个文件是辅助。
---
html-line-svg
When your agent uses it
将文字、截图、手绘或“小黑”插图、已有 HTML 关系图提炼为有教学语义的极简框线图；关系密集型图可先用 Mermaid 编写可执行的关系结构规格，再实现为可访问、响应式的内联 SVG，并同步输出可复用的线框图生成提示词。用于 HTML Presentation、课程页和网页卡片中的对比图、架构图、流程图、界面或接口图、Agent 协作图与状态关系图；当用户要求“语义框线图”“线框插图”“把插图改成 SVG”“生成线框图提示词”“在卡片里画 GUI/LUI、Agent、任务或系统关系”，或要求沿用 course-design 的 STYLE_DNA 设计教学插图时使用。不用于照片、装饰海报、复杂数据图表、情绪型手绘插画或直接编辑二进制 PPTX。
What it loads into context
Frontmatter
214 tokensAlways available to the agent
SKILL.md
5,921 tokensWhen the skill is activated
Reference documents
4,116 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 开始前
- 工作流
- 标准输出
- 复用示例
- 完成标准
Scripts executed separately
scripts/validate-line-svg.mjs
Files
LICENSEasset1,068 bytesREADME.mddoc5,157 bytesSKILL.mdcore21,658 bytesagents/openai.yamlasset280 bytesassets/examples/centralized-agent-dispatch.svgasset3,289 bytesassets/examples/distributed-agent-claim.svgasset3,993 bytesassets/examples/gui-lui-native.svgasset3,246 bytesassets/examples/gui-lui-retrofit.svgasset3,039 bytesassets/readme/generic-dashboard-wireframe.pngasset792,213 bytesassets/readme/generic-task-swimlane.pngasset780,545 bytesassets/readme/version-branch-flow.pngasset173,570 bytesreferences/example-catalog.mddoc2,621 bytesreferences/implementation-patterns.mddoc6,591 bytesscripts/validate-line-svg.mjsruns4,699 bytes
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# HTML 语义框线 SVG
把原内容中的对象、关系、状态与阅读顺序，重新编码为克制的技术文档式框线图。先保证图能准确复述教学判断，再处理构图与 SVG 细节；不要把原插图机械描摹成矢量轮廓。每次交付同时生成一份自包含的线框图提示词，使同一语义设计能够被复用、复核和继续迭代。
## 开始前
1. 读取目标内容、相邻内容、现有图片或草图、承载它的 HTML/CSS 和可用空间。
2. 在 `course-design` 中工作时，读取根目录 `AGENTS.md`、`docs/design/STYLE_DNA.md`、目标页面使用的设计 token 与更具体的目录规范。
3. 由其他 skill 调用时，回到调用它的上层工作流：遵守上层 skill 规定的事实来源、源文件、素材登记、追溯记录、生成物和验证范围，不固定绑定 `tailor-html-to-slide`、`ppt-like-html` 或任何单一载体。独立调用时，遵守目标项目与目标文件所在目录的规则。
4. 保护原结论、概念边界、方向、状态与数量。无法从材料确认的关系不要画成箭头。
## 工作流
### 1. 写语义规格与可选 Mermaid 关系结构intelligent-investor-graham
When your agent uses it
Use Graham value investing for Is this investment or speculation, defensive stock screens, margin of safety, Mr. Market, allocation, funds, IPOs.
What it loads into context
Frontmatter
64 tokensAlways available to the agent
SKILL.md
2,372 tokensWhen the skill is activated
Reference documents
7,955 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Skill Purpose
- When to Use This Skill
- CITATION RULES
- Workflow Inventory
- Routing Rules
- Execution Rules
- Multi-Module Output Format
- Subskill Status
- Do Not
Files
LICENSE.txtdoc196 bytesREADME.mddoc1,283 bytesSKILL.mdcore10,045 bytesSKILL.mdcore10,045 bytesintelligent-investor-graham.zipasset30,434 bytesquotes/market-philosophy-quotes.mddoc1,750 bytesquotes/value-investing-quotes.mddoc2,755 bytessubskills/m1_investment_vs_speculation/module.mddoc4,024 bytessubskills/m1_investment_vs_speculation/references/case_library.mddoc786 bytessubskills/m2_defensive_stock_screen/module.mddoc3,943 bytessubskills/m2_defensive_stock_screen/references/case_library.mddoc699 bytessubskills/m3_margin_of_safety_pricing/module.mddoc3,766 bytessubskills/m3_margin_of_safety_pricing/references/case_library.mddoc657 bytessubskills/m4_market_fluctuation_response/module.mddoc3,397 bytessubskills/m4_market_fluctuation_response/references/case_library.mddoc611 bytessubskills/m5_portfolio_policy/module.mddoc3,214 bytessubskills/m5_portfolio_policy/references/case_library.mddoc660 bytessubskills/m6_fund_adviser_ipo_review/module.mddoc3,201 bytessubskills/m6_fund_adviser_ipo_review/references/case_library.mddoc650 bytessubskills/m7_enterprising_bargain_hunt/module.mddoc3,816 bytessubskills/m7_enterprising_bargain_hunt/references/case_library.mddoc679 bytes
Read SKILL.md
# The Intelligent Investor — Skill (Benjamin Graham)
**Knowledge source:** *The Intelligent Investor* by Benjamin Graham, revised edition with commentary by Jason Zweig.
**Architecture:** Orchestrator + 7 subskills. This file routes the user query; subskills execute the actual Graham workflows.
```text
intelligent-investor-graham/
├── SKILL.md
├── quotes/
│ ├── market-philosophy-quotes.md
│ └── value-investing-quotes.md
└── subskills/
├── m1_investment_vs_speculation/investing-from-darwin
When your agent uses it
Apply Pulak Prasad evolutionary investing rules for avoiding big losses, buying resilient quality, rejecting fragile forecasts, and being very lazy.
What it loads into context
Frontmatter
59 tokensAlways available to the agent
SKILL.md
1,942 tokensWhen the skill is activated
Reference documents
1,256 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- When to Use This Skill
- Core Principle
- Workflow Inventory
- Architecture Justification
- DIMENSION 1: Avoid Big Risks
- DIMENSION 2: Buy Quality at a Fair Price
- DIMENSION 3: Robustness Over Forecast Precision
- DIMENSION 4: Be Very Lazy
- Query Response Framework
- Output Format
- Critical Reminders
- CITATION RULES
Files
LICENSE.txtdoc196 bytesREADME.mddoc1,264 bytesSKILL.mdcore9,106 bytesSKILL.mdcore9,106 bytesquotes/evolutionary-investing-quotes.mddoc2,291 bytesquotes/investing-principles-quotes.mddoc2,286 bytes
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# What I Learned About Investing from Darwin — Evolutionary Investing Skill
**Knowledge source:** *What I Learned About Investing from Darwin* by Pulak Prasad.
## Overview
Use this skill to evaluate investments through evolutionary survival logic: avoid big risks, buy high-quality resilient businesses at fair prices, and stay very patient. It supports investors who want to avoid permanent capital loss, resist over-trading, and prefer robustness over fragile forecasting.
## When to Use This Skill
Use this skill when the user asks:
- "Is this business resilient enough to own?"
- "What big risks could permanently hurt this investment?"jab-jab-right-hook-vaynerchuk
When your agent uses it
Apply Gary Vaynerchuk social content rules for native jabs, right hooks, platform fit, campaign critique, and engagement before conversion.
What it loads into context
Frontmatter
67 tokensAlways available to the agent
SKILL.md
2,169 tokensWhen the skill is activated
Reference documents
1,568 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- When to Use This Skill
- Core Principle
- Workflow Inventory
- Architecture Justification
- DIMENSION 1: Native Platform Fit
- DIMENSION 2: Jab Value Before the Ask
- DIMENSION 3: Micro-Content Craft
- DIMENSION 4: Listening and Iteration
- Query Response Framework
- Output Format
- Critical Reminders
- CITATION RULES
Files
LICENSE.txtdoc196 bytesREADME.mddoc1,254 bytesSKILL.mdcore9,950 bytesSKILL.mdcore9,950 bytesquotes/jab-right-hook-framework-quotes.mddoc3,433 bytesquotes/social-media-platforms-quotes.mddoc2,131 bytes
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# Jab, Jab, Jab, Right Hook — Social Marketing Skill
**Knowledge source:** *Jab, Jab, Jab, Right Hook* by Gary Vaynerchuk.
## Overview
Use this skill to critique, design, or revise brand social media content so it earns attention natively before asking for conversion. It supports marketers, founders, creators, and agencies evaluating whether a post, campaign, or content calendar has enough value-giving "jabs" before the sales "right hook."
## When to Use This Skill
Use this skill when the user asks:
- "Is this social post any good?"
- "How do I adapt this campaign for Instagram, X, Facebook, Pinterest, Tumblr, or mobile?"langchain-tool-builder
When your agent uses it
Build LangChain (Python) tools using Claude Code's fail-closed design pattern — unified name/schema/security/execution in one class, with automatic three-layer execution (validate → permission → call). Use this skill whenever the user wants to define a new LangChain tool, add permission or validation logic to an existing tool, set up the ClaudeStyleTool base class in a project, or asks about "build_tool", "Claude Code style tool", "工具定义", or "langchain tool with permissions". Also trigger when the user says "create a tool for X" or "定义一个工具" in a LangChain Python project context, even without mentioning Claude Code explicitly.
What it loads into context
Frontmatter
144 tokensAlways available to the agent
SKILL.md
2,339 tokensWhen the skill is activated
Reference documents
4,114 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Why this pattern matters
- Workflow
- Output template
- Using build_tool() for simple tools
- Common security property patterns
- Output design principles
- Reference files
Files
LICENSEasset1,068 bytesREADME.mddoc1,678 bytesSKILL.mdcore10,025 bytesSKILL.mdcore10,025 bytesSKILL.mdcore10,025 bytesSKILL.mdcore10,025 bytesen/langchain-tool-builder.mddoc8,311 bytesexamples/en.yamlasset6,382 bytesexamples/zh.yamlasset6,747 byteszh/langchain-tool-builder.mddoc7,619 bytes
Read SKILL.md
# LangChain Tool Builder
Helps define LangChain (Python) tools using Claude Code's `buildTool()` pattern:
a unified class that co-locates identity, schema, security properties, and execution logic,
with fail-closed defaults so new tools are safe by default.
## Why this pattern matters
Claude Code enforces three things that vanilla LangChain tools lack:
1. **Fail-closed defaults** — `is_read_only`, `is_destructive`, `is_concurrency_safe` all default to False.
A tool that forgets to declare its properties is conservatively treated as write-capable.
2. **Layered execution** — `validate_semantics → check_permissions → _call` are separate methods,
so validation logic doesn't bleed into permission logic or business logic.
3. **Self-contained definition** — schema, description, security metadata, and execution all livemost-important-thing-in-investing-howard-marks
When your agent uses it
Apply Howard Marks investing judgment for second-level thinking, price versus value, risk control, cycles, contrarianism, and defensive investing.
What it loads into context
Frontmatter
67 tokensAlways available to the agent
SKILL.md
2,235 tokensWhen the skill is activated
Reference documents
6,651 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- When to Use This Skill
- Core Principle
- Workflow Inventory
- Architecture Justification
- DIMENSION 1: Second-Level Thinking
- DIMENSION 2: Price, Value, and Bargains
- DIMENSION 3: Risk Recognition and Control
- DIMENSION 4: Cycles, Psychology, and Contrarianism
- DIMENSION 5: Patience, Humility, and Defense
- Query Response Framework
- Output Format
- Critical Reminders
- CITATION RULES
Files
LICENSE.txtdoc196 bytesREADME.mddoc1,292 bytesSKILL.mdcore10,153 bytesSKILL.mdcore10,153 bytesSKILL.mdcore10,153 bytesquotes/market-cycles-quotes.mddoc1,683 bytesquotes/risk-quotes.mddoc1,540 bytesquotes/second-level-thinking-quotes.mddoc1,676 bytesquotes/value-investing-quotes.mddoc1,873 bytesreferences/dimensions.mddoc11,813 bytesreferences/query-playbook.mddoc7,212 bytesreferences/reminders.mddoc3,138 bytes
Read SKILL.md
# The Most Important Thing — Risk Investing Skill
**Knowledge source:** *The Most Important Thing* by Howard Marks.
## Overview
Use this skill to evaluate investment opportunities, portfolio posture, market temperature, risk compensation, and contrarian decisions through Howard Marks's multi-factor framework. It supports investors asking whether to buy, hold, sell, wait, or become more defensive.
## When to Use This Skill
Use this skill when the user asks:
- "Is this asset worth buying?"
- "What risks am I missing?"munger-mental-models-worldly-wisdom
When your agent uses it
Apply Charlie Munger mental models to investments, decisions, and bias diagnosis. Trigger on Munger checklist or spot biases.
What it loads into context
Frontmatter
61 tokensAlways available to the agent
SKILL.md
3,625 tokensWhen the skill is activated
Reference documents
2,102 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- When to Use This Skill
- HOW TO USE THIS SKILL
- CITATION RULES
- Core Principle
- Workflow Inventory
- Architecture Justification
- DIMENSION 1: Latticework of Mental Models
- DIMENSION 2: Worldly Wisdom and Learning Discipline
- DIMENSION 3: Investment Judgment Checklist
- DIMENSION 4: Psychological Misjudgment and Lollapalooza Effects
- DIMENSION 5: Inversion and Circle of Competence
- Query Response Framework
- Output Format
- Critical Reminders
Files
LICENSE.txtdoc196 bytesREADME.mddoc1,349 bytesSKILL.mdcore17,250 bytesSKILL.mdcore17,250 bytesquotes/main-framework-quotes.mddoc3,041 bytesquotes/mental-models-quotes.mddoc1,982 bytesquotes/worldly-wisdom-quotes.mddoc2,339 bytes
Read SKILL.md
## Overview
This skill turns Charlie Munger's *Poor Charlie's Almanack* into an executable decision tool for investment evaluation, business judgment, and psychological misjudgment diagnosis. It helps users combine multidisciplinary mental models, inversion, circle-of-competence discipline, and bias checklists into structured recommendations.
## When to Use This Skill
- The user asks to analyze an investment, company, business decision, or strategy using Charlie Munger's approach.
- The user asks which mental models apply to a situation.
- The user wants to diagnose cognitive biases, market manias, frauds, scandals, or irrational behavior.
- The user wants a checklist for decision quality, preparation, patience, concentration, or opportunity cost.
- The user asks what could go wrong and how to invert a plan before acting.
## HOW TO USE THIS SKILL
outsiders-ceo-capital-allocation-thorndike
When your agent uses it
Apply The Outsiders CEO framework to assess capital allocation, per-share value creation, buybacks, decentralization, and rational leadership.
What it loads into context
Frontmatter
66 tokensAlways available to the agent
SKILL.md
2,259 tokensWhen the skill is activated
Reference documents
1,741 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- When to Use This Skill
- Core Principle
- Workflow Inventory
- Architecture Justification
- DIMENSION 1: Per-Share Value Measurement
- DIMENSION 2: Capital Allocation Toolkit
- DIMENSION 3: Cash Flow and Tax-Aware Rationality
- DIMENSION 4: Decentralization and Independent Thinking
- DIMENSION 5: Patience and Boldness
- Query Response Framework
- Output Format
- Critical Reminders
- CITATION RULES
Files
LICENSE.txtdoc196 bytesREADME.mddoc1,255 bytesSKILL.mdcore10,476 bytesSKILL.mdcore10,476 bytesquotes/capital-allocation-quotes.mddoc2,350 bytesquotes/ceo-philosophy-quotes.mddoc2,086 bytesquotes/decision-making-quotes.mddoc2,001 bytes
Read SKILL.md
# The Outsiders — CEO Capital Allocation Skill
**Knowledge source:** *The Outsiders* by William N. Thorndike, Jr.
## Overview
Use this skill to evaluate CEOs, management teams, capital allocation decisions, buybacks, acquisitions, spin-offs, leverage, decentralization, and per-share value creation. It supports investors, board members, operators, and analysts judging whether management thinks like owners rather than empire builders.
## When to Use This Skill
Use this skill when the user asks:
- "Is this CEO a good capital allocator?"
- "Should the company repurchase shares, acquire, pay dividends, or reinvest?"perennial-seller-holiday
When your agent uses it
Apply Ryan Holiday's perennial seller framework. Trigger on: "will this work last?", "position my book/product", "build an enduring launch".
What it loads into context
Frontmatter
63 tokensAlways available to the agent
SKILL.md
2,781 tokensWhen the skill is activated
Reference documents
1,158 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- When to Use This Skill
- Four-Part Framework
- Agent Instructions
- Query Types This Skill Handles
- Key Principles to Enforce
- Architecture Justification
- Workflow Inventory
- Query Response Framework
- Output Format
- Critical Reminders
- CITATION RULES
Files
LICENSE.txtdoc196 bytesREADME.mddoc1,150 bytesSKILL.mdcore12,954 bytesSKILL.mdcore12,954 bytesSKILL.mdcore12,954 bytesSKILL.mdcore12,954 bytesquotes/creative-process-quotes.mddoc2,200 bytesquotes/marketing-platform-quotes.mddoc1,863 bytes
Read SKILL.md
## Overview
This skill encodes Ryan Holiday's framework from *Perennial Seller* for creating work that earns continued success over years and decades rather than fading after initial release. The book draws on Holiday's experience working with authors, businesses, and creative projects — and his own books that continue to sell steadily years after publication.
**Core thesis:** Most creators optimize for short-term success (what's trending, what gets clicks today). Perennial sellers optimize for longevity. The strategies are almost exactly opposite.
**The fundamental rule:** "Promotion is not how things are made great — only how they're heard about." The work itself is the foundation; everything else builds on it.
## When to Use This Skill
Use this skill for queries that match the trigger phrases in the description and require applying the decision framework from *Perennial Seller: The Art of Making and Marketing Work That Lasts* rather than summarizing the book.
## Four-Part Framework
query-loop-implementation
When your agent uses it
Implement a production-ready LLM query loop / agent loop for AI applications. Use this skill whenever the user wants to add tool calling, ReAct-style reasoning-action-observation cycles, function calling loops, query engines, agent runtimes, tool_result feedback, max-turn exits, or Claude Code-like Agent Loop behavior to their own product or codebase.
What it loads into context
Frontmatter
79 tokensAlways available to the agent
SKILL.md
1,241 tokensWhen the skill is activated
Reference documents
987 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Core Idea
- Implementation Workflow
- Minimal Loop
- Required Exit Conditions
- Tool Runtime Contract
- Product Design Guidance
- When More Detail Is Needed
Files
LICENSEasset626 bytesREADME.mddoc2,182 bytesSKILL.mdcore5,671 bytesagents/openai.yamlasset253 bytesquery-loop-implementation.zipasset7,006 bytesreferences/query-loop-patterns.mddoc2,492 bytes
Read SKILL.md
# Query Loop Implementation
## Core Idea
Build the loop as product infrastructure, not prompt glue:
```text
ConversationManager -> QueryLoop -> ToolRuntime
```
- `ConversationManager` owns durable state: session id, messages, user settings, budget, persistence.
- `QueryLoop` owns one task turn: call model, detect tool calls, execute tools, append tool results, repeat.
- `ToolRuntime` owns registered tools: schemas, permission checks, execution, error formatting.
seo-metadata-audit
When your agent uses it
Audit SEO metadata such as title, description, headings, alt, robots, canonical, schema, viewport, charset, and social tags.
What it loads into context
Frontmatter
60 tokensAlways available to the agent
SKILL.md
1,969 tokensWhen the skill is activated
Reference documents
8,183 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- When to Use This Skill
- Core Principle
- Workflow Inventory
- Architecture Justification
- DIMENSION 1: Relevance and Snippet Signals
- DIMENSION 2: Crawl, Index, and Canonical Control
- DIMENSION 3: Media, Mobile, and Encoding Foundations
- DIMENSION 4: Structured and Social Context
- Query Response Framework
- Output Format
- Implementation Notes
- Citations
Files
LICENSE.txtdoc196 bytesREADME.mddoc1,223 bytesSKILL.mdcore9,210 bytesSKILL.mdcore9,210 bytesSKILL.mdcore9,210 bytesquotes/seo-metadata-quotes.mddoc2,355 bytesquotes/seo-technical-quotes.mddoc2,438 bytesreferences/seo_10_meta_tags.mddoc13,633 bytesreferences/tag-reference.mddoc12,828 bytes
Read SKILL.md
# SEO Metadata Audit Skill
**Knowledge source:** 影响SEO最重要的10个metadata by 哥飞.
## Overview
Use this skill to audit a webpage's most important SEO metadata and produce a prioritized repair plan. It supports SEO practitioners, developers, founders, and content teams who need to diagnose whether a page gives search engines clear, crawlable, canonical, mobile-friendly, and structured signals.
## When to Use This Skill
Use this skill when the user provides a URL, HTML, page spec, or metadata list and asks:
- "Audit this page's SEO metadata."
- "Are my title and description good?"session-dream
When your agent uses it
End-of-session memory distillation — extracts key decisions, eliminated approaches, new discoveries, and current blockers from the current conversation and writes them to MEMORY.md topic files. Based on Claude Code's autoDream background consolidation service. Activate when the user says "dream", "/dream", "save session memories", "distill this session", "what should I remember from this session", or when a long productive session is ending and the user wants to preserve what was learned.
What it loads into context
Frontmatter
101 tokensAlways available to the agent
SKILL.md
1,129 tokensWhen the skill is activated
Reference documents
365 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- How autoDream works (the source pattern)
- Distillation Process
- Example output
Files
LICENSE.txtdoc188 bytesREADME.mddoc1,654 bytesSKILL.mdcore5,118 bytesSKILL.mdcore5,118 bytes
Read SKILL.md
# session-dream
A manual trigger for the memory distillation that Claude Code's `autoDream` service does automatically in the background. Where `autoDream` fires after 5+ sessions and 24+ hours, this skill fires on demand — letting you capture a session's insights before they're lost in compaction.
## How autoDream works (the source pattern)
From `services/autoDream/consolidationPrompt.ts`, the autoDream process has 4 phases:
1. **Orient** — scan what memory already exists, avoid creating duplicates
2. **Gather signal** — identify new information worth persisting (logs, session transcripts, drifted facts)
3. **Consolidate** — write or update topic files, merge rather than duplicate, fix contradictions
4. **Prune and index** — keep MEMORY.md under max lines, one pointer per file, remove stale entries
This skill follows the same 4-phase structure but applies it to the current conversation rather than historical transcripts.show-your-work-kleon
When your agent uses it
Apply Austin Kleon's sharing framework. Trigger on: "what should I share?", "build an audience", "document my creative process".
What it loads into context
Frontmatter
63 tokensAlways available to the agent
SKILL.md
2,965 tokensWhen the skill is activated
Reference documents
1,162 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Core Philosophy
- When to Use This Skill
- The Framework
- Supported Query Types
- Output Format
- Limitations
- Architecture Justification
- Workflow Inventory
- Query Response Framework
- Critical Reminders
- CITATION RULES
Files
LICENSE.txtdoc196 bytesREADME.mddoc1,137 bytesSKILL.mdcore14,036 bytesSKILL.mdcore14,036 bytesSKILL.mdcore14,036 bytesSKILL.mdcore14,036 bytesSKILL.mdcore14,036 bytesquotes/audience-community-quotes.mddoc2,223 bytesquotes/sharing-process-quotes.mddoc1,911 bytes
Read SKILL.md
## Core Philosophy
Austin Kleon's *Show Your Work!* makes a single counterintuitive argument: **you don't need talent, credentials, or a finished body of work before you start sharing. You need to share the process of becoming.** The audience finds you not because of what you've produced, but because they recognize themselves in how you work.
The fundamental reframe: stop thinking "I need to finish this before I can share it." Start thinking "sharing IS the work."
---
## When to Use This Skill
Use this skill for queries that match the trigger phrases in the description and require applying the decision framework from *Show Your Work!* rather than summarizing the book.
## The Frameworkskill-creator
When your agent uses it
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
What it loads into context
Frontmatter
68 tokensAlways available to the agent
SKILL.md
7,241 tokensWhen the skill is activated
Reference documents
9,476 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Communicating with the user
- Creating a skill
- Running and evaluating test cases
- Improving the skill
- Advanced: Blind comparison
- Description Optimization
- Claude.ai-specific instructions
- Cowork-Specific Instructions
- Reference files
Scripts executed separately
eval-viewer/generate_review.pyscripts/__init__.pyscripts/aggregate_benchmark.pyscripts/generate_report.pyscripts/improve_description.pyscripts/package_skill.pyscripts/quick_validate.pyscripts/run_eval.pyscripts/run_loop.pyscripts/utils.py
Files
LICENSE.txtdoc11,357 bytesSKILL.mdcore33,168 bytesSKILL.mdcore33,168 bytesSKILL.mdcore33,168 bytesSKILL.mdcore33,168 bytesSKILL.mdcore33,168 bytesSKILL.mdcore33,168 bytesagents/analyzer.mddoc10,376 bytesagents/comparator.mddoc7,287 bytesagents/grader.mddoc9,049 bytesassets/eval_review.htmlasset7,058 byteseval-viewer/generate_review.pyruns16,365 byteseval-viewer/viewer.htmlasset44,998 bytesreferences/schemas.mddoc12,061 bytesscripts/__init__.pyruns0 bytesscripts/aggregate_benchmark.pyruns14,386 bytesscripts/generate_report.pyruns12,847 bytesscripts/improve_description.pyruns11,116 bytesscripts/package_skill.pyruns4,234 bytesscripts/quick_validate.pyruns3,972 bytesscripts/run_eval.pyruns11,464 bytesscripts/run_loop.pyruns13,605 bytesscripts/utils.pyruns1,661 bytes
Read SKILL.md
# Skill Creator
A skill for creating new skills and iteratively improving them.
At a high level, the process of creating a skill goes like this:
- Decide what you want the skill to do and roughly how it should do it
- Write a draft of the skill
- Create a few test prompts and run claude-with-access-to-the-skill on them
- Help the user evaluate the results both qualitatively and quantitatively
- While the runs happen in the background, draft some quantitative evals if there aren't any (if there are some, you can either use as is or modify if you feel something needs to change about them). Then explain them to the user (or if they already existed, explain the ones that already exist)
- Use the `eval-viewer/generate_review.py` script to show the user the results for them to look at, and also let them look at the quantitative metrics
- Rewrite the skill based on feedback from the user's evaluation of the results (and also if there are any glaring flaws that become apparent from the quantitative benchmarks)
- Repeat until you're satisfiedskill-to-workflow
When your agent uses it
将现有 Skill、Prompt、SOP 或 Agent 操作说明拆解为可执行、可监控、可重试的 Workflow 规格；识别真实节点、共享子工作流、工具调用、状态、分支、循环、 提示词、数据契约和验收方式。适用于用户要求把一个 Skill 转成工作流、节点图、 编排方案或 Workflow 实现规格时；不替代原 Skill 执行业务任务，也不在未要求时 绑定具体工作流平台或直接部署。
What it loads into context
Frontmatter
132 tokensAlways available to the agent
SKILL.md
2,266 tokensWhen the skill is activated
Reference documents
1,773 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 输入与默认交付
- 开始前
- 转换流程
- 关键设计原则
Files
SKILL.mdcore8,987 bytesreferences/workflow-spec-template.mddoc6,355 bytes
Read SKILL.md
# Skill 转 Workflow
把一个面向 Agent 的 Skill 转换为可实现的 Workflow 规格。转换的目标不是照抄原文中的编号，而是恢复它的真实执行图，并让每个节点都具有明确责任、结构化输入输出、工具权限、停止条件和失败处理。
## 输入与默认交付
- 输入可以是 Skill 目录、`SKILL.md`、Prompt、SOP、操作手册或用户描述的 Agent 流程。
- 用户指定目标平台时，使用该平台支持的节点、变量、分支和子工作流能力；未指定时输出平台无关规格，不猜测 Dify、Coze、n8n、LangGraph 等具体实现。
- 用户只要求概括时，先给阶段数、主链路和关键回路；用户要求设计或转换时，再给完整节点规格。
- 未明确要求实现、创建文件或部署时，只交付设计，不修改原 Skill，也不创建平台配置。
需要输出完整 Workflow 规格时，读取 [references/workflow-spec-template.md](references/workflow-spec-template.md)。
## 开始前steal-like-an-artist-kleon
When your agent uses it
Apply Austin Kleon creative practice for idea theft, remixing, starting work, sharing process, constraints, and sustainable output.
What it loads into context
Frontmatter
62 tokensAlways available to the agent
SKILL.md
2,045 tokensWhen the skill is activated
Reference documents
1,697 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- When to Use This Skill
- Core Principle
- Workflow Inventory
- Architecture Justification
- DIMENSION 1: Selective Influence and Genealogy
- DIMENSION 2: Start Before Identity Is Clear
- DIMENSION 3: Physical Process and Constraints
- DIMENSION 4: Share Process and Build a Sustainable Life
- Query Response Framework
- Output Format
- Critical Reminders
- CITATION RULES
Files
LICENSE.txtdoc196 bytesREADME.mddoc1,224 bytesSKILL.mdcore9,282 bytesSKILL.mdcore9,282 bytesSKILL.mdcore9,282 bytesquotes/creative-principles-quotes.mddoc2,202 bytesquotes/creative-process-quotes.mddoc3,722 bytes
Read SKILL.md
# Steal Like an Artist — Creative Practice Skill
**Knowledge source:** *Steal Like an Artist* by Austin Kleon.
## Overview
Use this skill to help creators start, unblock, remix influences ethically, build a daily practice, and share work without waiting for identity, originality, or perfect readiness. It supports writers, designers, founders, artists, and makers turning influences into original work.
## When to Use This Skill
Use this skill when the user asks:
- "I don't know what to create."
- "How do I find my style?"stock-picking-by-common-stocks-uncommon-profits
When your agent uses it
Apply Philip Fisher's growth stock investment framework from Common Stocks and Uncommon Profits. Use this skill whenever a user wants to evaluate whether a company is a worthy long-term growth investment, assess management quality, gather competitive intelligence via scuttlebutt, decide when to buy an outstanding stock at the right moment, or decide whether to hold or sell a current position. Covers the 15 Points checklist, management depth analysis, scuttlebutt intelligence gathering, entry timing, and hold/sell decision logic. Trigger phrases: "is X a growth stock", "Fisher framework", "15 points", "scuttlebutt", "should I buy X", "should I sell X", "management quality of X", "growth stock analysis".
What it loads into context
Frontmatter
217 tokensAlways available to the agent
SKILL.md
1,168 tokensWhen the skill is activated
Reference documents
24,989 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Attribution
- Skill Purpose
- Routing Rules
- Execution
- What Not to Do
Files
LICENSE.txtdoc552 bytesREADME.mddoc4,078 bytesSKILL.mdcore4,985 bytesSKILL.mdcore4,985 bytesstock-picking-by-common-stocks-uncommon-profits.zipasset47,810 bytessubskills/m1_fifteen_points/module.mddoc8,926 bytessubskills/m1_fifteen_points/references/case_library.mddoc11,973 bytessubskills/m2_management/module.mddoc6,961 bytessubskills/m2_management/references/case_library.mddoc9,758 bytessubskills/m3_scuttlebutt/module.mddoc7,750 bytessubskills/m3_scuttlebutt/references/case_library.mddoc8,217 bytessubskills/m4_when_to_buy/module.mddoc8,637 bytessubskills/m4_when_to_buy/references/case_library.mddoc9,556 bytessubskills/m5_when_to_sell/module.mddoc7,769 bytessubskills/m5_when_to_sell/references/case_library.mddoc10,800 bytes
Read SKILL.md
# Common Stocks and Uncommon Profits — Skill (Philip Fisher)
**Knowledge source**: *Common Stocks and Uncommon Profits and Other Writings* by Philip A. Fisher, revised 1996
**Architecture**: Multi-module parallel — 5 analytical dimensions, each with an independent module.md + case_library.md
```
stock-picking-by-common-stocks-uncommon-profits/
├── SKILL.md ← This file (master dispatcher)
└── subskills/
├── m1_fifteen_points/
│ ├── module.md ← 15-Point evaluation framework
│ └── references/case_library.md
├── m2_management/
│ ├── module.md ← Management quality deep analysisstorybrand-messaging-framework
When your agent uses it
Use StoryBrand for "clarify my message", "rewrite my homepage", "create a BrandScript", "what is my one-liner", or "fix my CTA".
What it loads into context
Frontmatter
66 tokensAlways available to the agent
SKILL.md
2,906 tokensWhen the skill is activated
Reference documents
1,602 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- When to Use This Skill
- Core Principle
- Workflow Inventory
- The SB7 Framework
- Query Response Framework
- Output Format
- Critical Reminders
- CITATION RULES
Files
LICENSE.txtdoc196 bytesREADME.mddoc1,267 bytesSKILL.mdcore13,253 bytesSKILL.mdcore13,253 bytesSKILL.mdcore13,253 bytesquotes/main-framework-quotes.mddoc2,182 bytesquotes/storybrand-principles-quotes.mddoc3,416 bytes
Read SKILL.md
# StoryBrand Messaging Framework
## Overview
Use this skill to apply Donald Miller's StoryBrand SB7 framework to brand messaging, website copy, fundraising appeals, product positioning, sales pages, and marketing assets. The skill turns a confusing offer into a clear customer-centered story: the customer is the hero, the brand is the guide, the offer solves a real problem, and the next action is obvious.
This is a messaging-clarity skill. It does not validate whether a market exists, set paid-media budgets, or replace customer research.
## When to Use This Skill
Invoke this skill when the user asks:
- "Help me create a BrandScript for my business."
- "Clarify my message."this-is-marketing-godin
When your agent uses it
Apply Seth Godin's marketing framework. Trigger on: "find my smallest viable audience", "position this offer", "earn trust".
What it loads into context
Frontmatter
62 tokensAlways available to the agent
SKILL.md
2,431 tokensWhen the skill is activated
Reference documents
1,078 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- Core Principle
- When to Use This Skill
- The Core Framework
- Agent Instructions
- Query Types This Skill Handles
- Key Principles to Enforce
- Architecture Justification
- Workflow Inventory
- Query Response Framework
- Output Format
- Critical Reminders
- CITATION RULES
Files
LICENSE.txtdoc196 bytesREADME.mddoc1,164 bytesSKILL.mdcore11,030 bytesSKILL.mdcore11,030 bytesSKILL.mdcore11,030 bytesSKILL.mdcore11,030 bytesquotes/audience-change-quotes.mddoc1,935 bytesquotes/trust-permission-quotes.mddoc1,662 bytes
Read SKILL.md
## Overview
This skill encodes Seth Godin's marketing philosophy from *This Is Marketing*. It rejects mass-market manipulation in favor of generous, specific, and empathetic work: finding the smallest viable audience, understanding their worldview deeply, earning permission to communicate, and making change that spreads through peer-to-peer trust.
## Core Principle
Core premise: **Marketing is the generous act of helping someone solve a problem. It's not about you — it's about them.**
## When to Use This Skill
Use this skill for queries that match the trigger phrases in the description and require applying the decision framework from *This Is Marketing* rather than summarizing the book.
## The Core Framework
tool-permission-system
When your agent uses it
Design and implement a layered, configurable permission/safety system for agent tools. Use this skill when building an agent that needs to control which tool calls are auto-allowed, which require user confirmation, and which are denied — especially when the system must be configurable across multiple scopes (project/user/enterprise) and extensible via hooks. Triggers on: "权限系统", "工具安全", "tool permission", "permission system", "tool safety", "allow/deny rules", "hook system", "构建安全机制".
What it loads into context
Frontmatter
117 tokensAlways available to the agent
SKILL.md
2,757 tokensWhen the skill is activated
Reference documents
3,754 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Core Idea
- Workflow
- Required Decisions
- Minimal Pattern
- Boundaries
- When More Detail Is Needed
Scripts executed separately
references/dangerous-patterns.tsreferences/denial-tracking.tsreferences/permission-types.ts
Files
LICENSEasset626 bytesREADME.mddoc2,995 bytesSKILL.mdcore10,534 bytesSKILL.mdcore10,534 bytesagents/openai.yamlasset321 bytesreferences/dangerous-patterns.tsruns3,083 bytesreferences/denial-tracking.tsruns3,131 bytesreferences/hook-system.mddoc6,122 bytesreferences/permission-pipeline.mddoc7,843 bytesreferences/permission-types.tsruns7,786 bytesreferences/settings-examples.jsonasset4,068 bytestool-permission-system.zipasset21,925 bytes
Read SKILL.md
# Tool Permission System
## Core Idea
Every time an agent calls a tool, a **permission pipeline** runs before execution. This pipeline is the single place that decides: auto-allow, ask the user, or deny. The pipeline is layered — different stakeholders (enterprise admin, user, project team, session) can each contribute rules, with higher layers overriding lower ones.
```
Tool call request
↓
[硬否决] Deny rules → immediate deny
↓
[强制确认] Ask rules → force prompt (even in bypass mode)
↓
[工具自身] Tool's checkPermissions() → tool-specific logicwar-of-art-pressfield
When your agent uses it
Apply Steven Pressfield resistance diagnosis for procrastination, turning pro, daily creative discipline, fear, hierarchy, and territory.
What it loads into context
Frontmatter
59 tokensAlways available to the agent
SKILL.md
1,964 tokensWhen the skill is activated
Reference documents
2,115 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- When to Use This Skill
- Core Principle
- Workflow Inventory
- Architecture Justification
- DIMENSION 1: Resistance Diagnosis
- DIMENSION 2: Turning Pro
- DIMENSION 3: Fear, Ego, and Distance
- DIMENSION 4: Territory Over Hierarchy
- Query Response Framework
- Output Format
- Critical Reminders
- CITATION RULES
Files
LICENSE.txtdoc196 bytesREADME.mddoc1,213 bytesSKILL.mdcore8,888 bytesSKILL.mdcore8,888 bytesquotes/resistance-framework-quotes.mddoc4,265 bytesquotes/turning-pro-inspiration-quotes.mddoc3,955 bytes
Read SKILL.md
# The War of Art — Creative Resistance Skill
**Knowledge source:** *The War of Art* by Steven Pressfield.
## Overview
Use this skill to diagnose creative resistance, procrastination, avoidance, self-sabotage, amateur habits, and dependence on external validation. It helps writers, artists, founders, and anyone pursuing difficult long-term work shift from avoidance to professional daily action.
## When to Use This Skill
Use this skill when the user asks:
- "Why can't I start?"
- "I keep procrastinating on my creative work."Skills included
- agent-memory-implementation
- agent-tool-builder
- analyzing-financial-statements
- business-adventures-analysis-brooks
- clash-cultures-investment-speculation-bogle
- common-sense-index-investing-bogle
- compact-memory-implementation
- contagious-viral-content-berger
- contract-drafting-and-review-guidance-china-law
- creating-superfans-hodak
- customers-yachts-wall-street-schwed
- essays-in-persuasion-keynes
- analyzing-financial-reports
- folded-memory-implementation
- harness-step1-create-agents-md
- harness-step2-fill-docs
- harness-step3-session-management
- html-line-svg
- intelligent-investor-graham
- investing-from-darwin
- jab-jab-right-hook-vaynerchuk
- langchain-tool-builder
- most-important-thing-in-investing-howard-marks
- munger-mental-models-worldly-wisdom
- outsiders-ceo-capital-allocation-thorndike
- perennial-seller-holiday
- query-loop-implementation
- seo-metadata-audit
- session-dream
- show-your-work-kleon
- skill-creator
- skill-to-workflow
- steal-like-an-artist-kleon
- stock-picking-by-common-stocks-uncommon-profits
- storybrand-messaging-framework
- this-is-marketing-godin
- tool-permission-system
- war-of-art-pressfield
Repository facts
- License
- MIT
- Created
- Mar 24, 2026
- Last pushed
- Aug 26, 2026
- Forks
- 39
- Open issues
- 1
- Project activity
- Slowing
Before you install
Network or broad shellAutomated signals, not a guarantee
Checked Nov 6, 2026
Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.
Show 87 notes
skills/agent-memory-implementation/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/agent-memory-implementation/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/agent-tool-builder/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/agent-tool-builder/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/analyzing-financial-statements/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/business-adventures-analysis-brooks/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/clash-cultures-investment-speculation-bogle/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/clash-cultures-investment-speculation-bogle/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/clash-cultures-investment-speculation-bogle/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/common-sense-index-investing-bogle/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/compact-memory-implementation/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/compact-memory-implementation/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/compact-memory-implementation/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/compact-memory-implementation/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/compact-memory-implementation/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/compact-memory-implementation/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/compact-memory-implementation/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/compact-memory-implementation/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/compact-memory-implementation/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/contagious-viral-content-berger/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzed
- 5 dangerous shell commandsin 3 files: tool-permission-system/references/settings-examples.json:19 agent-memory-implementation/SKILL.md:58 tool-permission-system/references/hook-system.md:129
- 239 network referencesin 52 files: seo-metadata-audit/references/seo_10_meta_tags.md:73 seo-metadata-audit/references/tag-reference.md:151 skill-creator/eval-viewer/viewer.html:5 and 49 more
- No hidden or obfuscated text
- No instruction overrides
- 17 executable scriptsin 17 files: agent-memory-implementation/scripts/memory_audit.py:1 agent-tool-builder/references/agent_tool_base.py:1 compact-memory-implementation/scripts/pre_compact_extract.py:1 and 14 more
- 7 references to secretsin 4 files: langchain-tool-builder/en/langchain-tool-builder.md:60 langchain-tool-builder/examples/en.yaml:52 skill-creator/scripts/improve_description.py:6 and 1 more
- No requests to vote in Hot
Show all 270 signals by file
skills/agent-memory-implementation/SKILL.md
- Dangerous shell operationline 58
only. Bash rm is not permitted.
skills/agent-memory-implementation/scripts/memory_audit.py
- Executable scriptline 1
#!/usr/bin/env python3
skills/agent-tool-builder/references/agent_tool_base.py
- Executable scriptline 1
Executable file
skills/analyzing-financial-statements/SKILL.md
- Network accessline 112
--- 以下分析基于[《一本书读懂财报》skill](https://book2skills.com/zh/)，仅供学习，支持正版。 - Network accessline 113
以下分析基于[《一本书读懂财报》skill](https://book2skills.com/zh/)，仅供学习，支持正版。 - Network accessline 150
--- 以下分析基于[《一本书读懂财报》skill](https://book2skills.com/zh/)，仅供学习，支持正版。 - Network accessline 151
以下分析基于[《一本书读懂财报》skill](https://book2skills.com/zh/)，仅供学习，支持正版。 - Network accessline 177
--- 以下分析基于[《一本书读懂财报》skill](https://book2skills.com/zh/)，仅供学习，支持正版。 - Network accessline 178
以下分析基于[《一本书读懂财报》skill](https://book2skills.com/zh/)，仅供学习，支持正版。
skills/business-adventures-analysis-brooks/SKILL.md
- Network accessline 159
> "Author's exact words here." > > - [*Business Adventures*, cited excerpt](https://github.com/simbajigege/book2skills/blob/main/skills/business-adventures-analysis-brooks/quotes/market-dynamics-quotes.md#panic-psychology) - Network accessline 161
> - [*Business Adventures*, cited excerpt](https://github.com/simbajigege/book2skills/blob/main/skills/business-adventures-analysis-brooks/quotes/market-dynamics-quotes.md#panic-psychology)
skills/clash-cultures-investment-speculation-bogle/SKILL.md
- Network accessline 193
> "Author's exact words here." > > — [*The Clash of the Cultures*, cited excerpt](https://github.com/simbajigege/book2skills/blob/main/skills/clash-cultures-investment-speculation-bogle/quotes/FILENAME.md#ANCHOR) - Network accessline 195
> — [*The Clash of the Cultures*, cited excerpt](https://github.com/simbajigege/book2skills/blob/main/skills/clash-cultures-investment-speculation-bogle/quotes/FILENAME.md#ANCHOR)
skills/common-sense-index-investing-bogle/SKILL.md
- Network accessline 193
> "Author's exact words here." > > — [*The Little Book of Common Sense Investing*, cited excerpt](https://github.com/simbajigege/book2skills/blob/main/skills/common-sense-index-investing-bogle/quotes/FILENAME.md#ANCHOR) - Network accessline 195
> — [*The Little Book of Common Sense Investing*, cited excerpt](https://github.com/simbajigege/book2skills/blob/main/skills/common-sense-index-investing-bogle/quotes/FILENAME.md#ANCHOR)
skills/compact-memory-implementation/scripts/pre_compact_extract.py
- Executable scriptline 1
#!/usr/bin/env python3
skills/contract-drafting-and-review-guidance-china-law/SKILL.md
- Network accessline 40
> "Source text here." > > - *合同起草审查指南*, topic anchor: https://github.com/simbajigege/book2skills/blob/main/skills/contract-drafting-and-review-guidance-china-law/quotes/FILENAME.md#ANCHOR - Network accessline 42
> - *合同起草审查指南*, topic anchor: https://github.com/simbajigege/book2skills/blob/main/skills/contract-drafting-and-review-guidance-china-law/quotes/FILENAME.md#ANCHOR
skills/finacial-statement-reading/SKILL.md
- Network accessline 33
--- 以下分析基于[《一本书读懂财报》skill](https://book2skills.com/zh/)，仅供学习，支持正版。 - Network accessline 34
以下分析基于[《一本书读懂财报》skill](https://book2skills.com/zh/)，仅供学习，支持正版。 - Network accessline 109
--- 以下分析基于[《一本书读懂财报》skill](https://book2skills.com/zh/)，仅供学习，支持正版。 - Network accessline 110
以下分析基于[《一本书读懂财报》skill](https://book2skills.com/zh/)，仅供学习，支持正版。 - Network accessline 147
--- 以下分析基于[《一本书读懂财报》skill](https://book2skills.com/zh/)，仅供学习，支持正版。 - Network accessline 148
以下分析基于[《一本书读懂财报》skill](https://book2skills.com/zh/)，仅供学习，支持正版。
skills/harness-step1-create-agent-md/LICENSE
- Network accessline 1
Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ - Network accessline 3
http://www.apache.org/licenses/ - Network accessline 47
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0
skills/harness-step1-create-agent-md/en/harness-step1-create-agent-md.md
- Network accessline 7
tags: ["AI engineering", "Claude Code", "developer tools", "Harness Engineering", "agent support"] cover_url: "/assets/books/covers/harness-step1-create-agent-md.png" github_url: "https://github.com/simbajigege/book2skills/skills/harness-st - Network accessline 8
cover_url: "/assets/books/covers/harness-step1-create-agent-md.png" github_url: "https://github.com/simbajigege/book2skills/skills/harness-step1-create-agent-md" download_url: "/skills/harness-step1-create-agent-md.zip" - Network accessline 9
github_url: "https://github.com/simbajigege/book2skills/skills/harness-step1-create-agent-md"
skills/harness-step1-create-agent-md/zh/harness-step1-create-agent-md.md
- Network accessline 7
tags: ["AI 工程", "Claude Code", "开发工具", "Harness Engineering", "agent 支持"] cover_url: "/assets/books/covers/harness-step1-create-agent-md.png" github_url: "https://github.com/simbajigege/book2skills/skills/harness-step1-create-agent-md" - Network accessline 8
cover_url: "/assets/books/covers/harness-step1-create-agent-md.png" github_url: "https://github.com/simbajigege/book2skills/skills/harness-step1-create-agent-md" download_url: "/skills/harness-step1-create-agent-md.zip" - Network accessline 9
github_url: "https://github.com/simbajigege/book2skills/skills/harness-step1-create-agent-md"
skills/harness-step2-fill-docs/LICENSE
- Network accessline 1
Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ - Network accessline 3
http://www.apache.org/licenses/ - Network accessline 47
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0
skills/harness-step2-fill-docs/en/harness-step2-fill-docs.md
- Network accessline 7
tags: ["AI engineering", "Claude Code", "documentation", "Harness Engineering", "architecture docs"] cover_url: "/assets/books/covers/harness-step2-fill-docs.png" github_url: "https://github.com/simbajigege/book2skills/skills/harness-step2- - Network accessline 8
cover_url: "/assets/books/covers/harness-step2-fill-docs.png" github_url: "https://github.com/simbajigege/book2skills/skills/harness-step2-fill-docs" download_url: "/skills/harness-step2-fill-docs.zip" - Network accessline 9
github_url: "https://github.com/simbajigege/book2skills/skills/harness-step2-fill-docs"
skills/harness-step2-fill-docs/zh/harness-step2-fill-docs.md
- Network accessline 7
tags: ["AI 工程", "Claude Code", "文档工程", "Harness Engineering", "架构文档"] cover_url: "/assets/books/covers/harness-step2-fill-docs.png" github_url: "https://github.com/simbajigege/book2skills/skills/harness-step2-fill-docs" - Network accessline 8
cover_url: "/assets/books/covers/harness-step2-fill-docs.png" github_url: "https://github.com/simbajigege/book2skills/skills/harness-step2-fill-docs" download_url: "/skills/harness-step2-fill-docs.zip" - Network accessline 9
github_url: "https://github.com/simbajigege/book2skills/skills/harness-step2-fill-docs"
skills/harness-step3-session-management/LICENSE
- Network accessline 1
Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ - Network accessline 3
http://www.apache.org/licenses/ - Network accessline 47
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0
skills/harness-step3-session-management/en/harness-step3-session-management.md
- Broad permissionsline 1
Unsupported or unresolved allowed-tools declaration - Network accessline 7
tags: ["AI engineering", "Claude Code", "task management", "Harness Engineering", "session state"] cover_url: "/assets/books/covers/harness-step3-session-management.png" github_url: "https://github.com/simbajigege/book2skills/skills/harness - Network accessline 8
cover_url: "/assets/books/covers/harness-step3-session-management.png" github_url: "https://github.com/simbajigege/book2skills/skills/harness-step3-session-management" download_url: "/skills/harness-step3-session-management.zip" - Network accessline 9
github_url: "https://github.com/simbajigege/book2skills/skills/harness-step3-session-management"
skills/harness-step3-session-management/zh/harness-step3-session-management.md
- Broad permissionsline 1
Unsupported or unresolved allowed-tools declaration - Network accessline 7
tags: ["AI 工程", "Claude Code", "任务管理", "Harness Engineering", "状态管理"] cover_url: "/assets/books/covers/harness-step3-session-management.png" github_url: "https://github.com/simbajigege/book2skills/skills/harness-step3-session-management" - Network accessline 8
cover_url: "/assets/books/covers/harness-step3-session-management.png" github_url: "https://github.com/simbajigege/book2skills/skills/harness-step3-session-management" download_url: "/skills/harness-step3-session-management.zip" - Network accessline 9
github_url: "https://github.com/simbajigege/book2skills/skills/harness-step3-session-management"
skills/html-line-svg/README.md
skills/html-line-svg/SKILL.md
- Network accessline 52
当图以节点关系为主时，优先在 YAML 之前或之后补一段 Mermaid，把它作为可执行、可预览的**关系结构规格**。系统架构、流程、Agent 协作、状态转换、时序交互、类关系和实体关系通常适合；GUI 页面线框、纯视觉对比和难以抽象为节点关系的插图可以省略。选择语法和写法时参考 [Mermaid 官方图表语法文档](https://mermaid.ai/open-source/syntax/flowchart.html)，并从该页导航到 Flowchart、Archit
skills/html-line-svg/assets/examples/centralized-agent-dispatch.svg
- Network accessline 1
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 600 250" role="img" aria-labelledby="example-centralized-title example-centralized-desc">
skills/html-line-svg/assets/examples/distributed-agent-claim.svg
- Network accessline 1
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 600 250" role="img" aria-labelledby="example-distributed-title example-distributed-desc">
skills/html-line-svg/assets/examples/gui-lui-native.svg
- Network accessline 1
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 600 250" role="img" aria-labelledby="example-native-title example-native-desc">
skills/html-line-svg/assets/examples/gui-lui-retrofit.svg
- Network accessline 1
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 600 250" role="img" aria-labelledby="example-retrofit-title example-retrofit-desc">
skills/html-line-svg/scripts/validate-line-svg.mjs
- Executable scriptline 1
#!/usr/bin/env node
skills/intelligent-investor-graham/SKILL.md
- Network accessline 75
> "Author's exact words here." > > — [*The Intelligent Investor*, cited excerpt](https://github.com/simbajigege/book2skills/blob/main/skills/intelligent-investor-graham/quotes/FILENAME.md#ANCHOR) - Network accessline 77
> — [*The Intelligent Investor*, cited excerpt](https://github.com/simbajigege/book2skills/blob/main/skills/intelligent-investor-graham/quotes/FILENAME.md#ANCHOR)
skills/investing-from-darwin/SKILL.md
- Network accessline 200
> "Author's exact words here." > > — [*What I Learned About Investing from Darwin*, cited excerpt](https://github.com/simbajigege/book2skills/blob/main/skills/investing-from-darwin/quotes/FILENAME.md#ANCHOR) - Network accessline 202
> — [*What I Learned About Investing from Darwin*, cited excerpt](https://github.com/simbajigege/book2skills/blob/main/skills/investing-from-darwin/quotes/FILENAME.md#ANCHOR)
skills/jab-jab-right-hook-vaynerchuk/SKILL.md
- Network accessline 198
> "Author's exact words here." > > — [*Jab, Jab, Jab, Right Hook*, cited excerpt](https://github.com/simbajigege/book2skills/blob/main/skills/jab-jab-right-hook-vaynerchuk/quotes/FILENAME.md#ANCHOR) - Network accessline 200
> — [*Jab, Jab, Jab, Right Hook*, cited excerpt](https://github.com/simbajigege/book2skills/blob/main/skills/jab-jab-right-hook-vaynerchuk/quotes/FILENAME.md#ANCHOR)
skills/langchain-tool-builder/en/langchain-tool-builder.md
- Network accessline 7
tags: ["LangChain", "Python", "AI engineering", "tool definition", "Claude Code", "agent tools"] cover_url: "/assets/books/covers/book-indigo.svg" github_url: "https://github.com/simbajigege/book2skills/skills/langchain-tool-builder" - Network accessline 8
cover_url: "/assets/books/covers/book-indigo.svg" github_url: "https://github.com/simbajigege/book2skills/skills/langchain-tool-builder" download_url: "/skills/langchain-tool-builder.zip" - Network accessline 9
github_url: "https://github.com/simbajigege/book2skills/skills/langchain-tool-builder" - Network accessline 60
[Credential-related source omitted] - Access to secretsline 60
[Credential-related source omitted] - Network accessline 61
[Credential-related source omitted] - Network accessline 62
resp = requests.get( - Network accessline 63
"https://api.github.com/search/repositories", - Network accessline 119
[Credential-related source omitted] - Network accessline 120
[Credential-related source omitted] - Access to secretsline 120
[Credential-related source omitted] - Network accessline 121
resp = requests.post( - Network accessline 122
f"https://api.github.com/repos/{repo}/issues",
skills/langchain-tool-builder/examples/en.yaml
- Network accessline 52
[Credential-related source omitted] - Access to secretsline 52
[Credential-related source omitted] - Network accessline 53
[Credential-related source omitted] - Network accessline 54
resp = requests.get( - Network accessline 55
"https://api.github.com/search/repositories", - Network accessline 130
[Credential-related source omitted] - Network accessline 131
[Credential-related source omitted] - Access to secretsline 131
[Credential-related source omitted] - Network accessline 132
resp = requests.post( - Network accessline 133
f"https://api.github.com/repos/{repo}/issues",
skills/langchain-tool-builder/zh/langchain-tool-builder.md
- Network accessline 7
tags: ["LangChain", "Python", "AI 工程", "工具定义", "Claude Code", "agent 工具"] cover_url: "/assets/books/covers/book-indigo.svg" github_url: "https://github.com/simbajigege/book2skills/skills/langchain-tool-builder" - Network accessline 8
cover_url: "/assets/books/covers/book-indigo.svg" github_url: "https://github.com/simbajigege/book2skills/skills/langchain-tool-builder" download_url: "/skills/langchain-tool-builder.zip" - Network accessline 9
github_url: "https://github.com/simbajigege/book2skills/skills/langchain-tool-builder"
skills/most-important-thing-in-investing-howard-marks/SKILL.md
- Network accessline 229
> "Author's exact words here." > > — [*The Most Important Thing*, cited excerpt](https://github.com/simbajigege/book2skills/blob/main/skills/most-important-thing-in-investing-howard-marks/quotes/FILENAME.md#ANCHOR) - Network accessline 231
> — [*The Most Important Thing*, cited excerpt](https://github.com/simbajigege/book2skills/blob/main/skills/most-important-thing-in-investing-howard-marks/quotes/FILENAME.md#ANCHOR)
skills/munger-mental-models-worldly-wisdom/SKILL.md
- Network accessline 39
> "Author's exact words here." > > - *Poor Charlie's Almanack*, topic anchor: https://github.com/simbajigege/book2skills/blob/main/skills/munger-mental-models-worldly-wisdom/quotes/FILENAME.md#ANCHOR - Network accessline 41
> - *Poor Charlie's Almanack*, topic anchor: https://github.com/simbajigege/book2skills/blob/main/skills/munger-mental-models-worldly-wisdom/quotes/FILENAME.md#ANCHOR
skills/outsiders-ceo-capital-allocation-thorndike/SKILL.md
- Network accessline 218
> "Author's exact words here." > > — [*The Outsiders*, cited excerpt](https://github.com/simbajigege/book2skills/blob/main/skills/outsiders-ceo-capital-allocation-thorndike/quotes/FILENAME.md#ANCHOR) - Network accessline 220
> — [*The Outsiders*, cited excerpt](https://github.com/simbajigege/book2skills/blob/main/skills/outsiders-ceo-capital-allocation-thorndike/quotes/FILENAME.md#ANCHOR)
skills/query-loop-implementation/LICENSE
skills/seo-metadata-audit/SKILL.md
- Network accessline 193
> "Author's exact words here." > > — [*影响SEO最重要的10个metadata*, cited excerpt](https://github.com/simbajigege/book2skills/blob/main/skills/seo-metadata-audit/quotes/FILENAME.md#ANCHOR) - Network accessline 195
> — [*影响SEO最重要的10个metadata*, cited excerpt](https://github.com/simbajigege/book2skills/blob/main/skills/seo-metadata-audit/quotes/FILENAME.md#ANCHOR)
skills/seo-metadata-audit/references/seo_10_meta_tags.md
- Network accessline 73
**扩展：** 可使用结构化描述（Rich Snippets），参考谷歌结构化数据文档： https://developers.google.com/search/docs/appearance/structured-data/intro-structured-data?hl=zh-cn - Network accessline 74
https://developers.google.com/search/docs/appearance/structured-data/intro-structured-data?hl=zh-cn - Network accessline 162
**常用 content 取值：** 更多取值参考谷歌官方文档： https://developers.google.com/search/docs/crawling-indexing/robots-meta-tag?hl=zh-cn - Network accessline 163
https://developers.google.com/search/docs/crawling-indexing/robots-meta-tag?hl=zh-cn - Network accessline 181
<!-- 页面自身的规范地址 --> <link rel="canonical" href="https://abc.com/"> - Network accessline 182
<link rel="canonical" href="https://abc.com/"> - Network accessline 184
<!-- 博客文章页面示例 --> <link rel="canonical" href="https://abc.com/blog/how-to-make-money"> - Network accessline 185
<link rel="canonical" href="https://abc.com/blog/how-to-make-money"> - Network accessline 190
**问题背景举例：** 假设网站地址是 `https://abc.com/`，但外部链接可能带有追踪参数，如： - Network accessline 191
假设网站地址是 `https://abc.com/`，但外部链接可能带有追踪参数，如： - Network accessline 192
- `https://abc.com/?r=reddit` - Network accessline 193
- `https://abc.com/?r=ph` - Network accessline 216
<script type="application/ld+json"> { "@context": "http://schema.org", - Network accessline 217
{ "@context": "http://schema.org", "@type": "Product", - Network accessline 218
"@context": "http://schema.org", - Network accessline 219
"@type": "Product", "name": "Listen Notes", "image": "https://example.com/image.png", - Network accessline 220
"name": "Listen Notes", "image": "https://example.com/image.png", "description": "最好的播客搜索引擎和数据库，包含所有播客和剧集。" - Network accessline 221
"image": "https://example.com/image.png", - Network accessline 227
**官方工具：** - 结构化数据文档：https://developers.google.com/search/docs/appearance/structured-data/intro-structured-data?hl=zh-cn - Network accessline 228
- 结构化数据文档：https://developers.google.com/search/docs/appearance/structured-data/intro-structured-data?hl=zh-cn - Network accessline 229
- 结构化数据标记辅助工具：https://www.google.com/webmasters/markup-helper/?hl=zh - Network accessline 258
<meta property="og:title" content="HIX.AI: Your Most Powerful, All-In-One AI Writing Copilot"/> <meta property="og:description" content="Generate high-quality copies for ads, emails, blogs, and more in seconds with HIX.AI..."/> <meta proper - Network accessline 259
<meta property="og:description" content="Generate high-quality copies for ads, emails, blogs, and more in seconds with HIX.AI..."/> <meta property="og:url" content="https://hix.ai"/> <meta property="og:type" content="website"/> - Network accessline 260
<meta property="og:url" content="https://hix.ai"/> - Network accessline 261
<meta property="og:type" content="website"/> <meta property="og:image" content="https://hix.ai/featured-images/hix-ai-xxx.jpg"/> <meta property="og:image:alt" content="The Most Powerful, All-in-One AI Writing Copilot."/> - Network accessline 262
<meta property="og:image" content="https://hix.ai/featured-images/hix-ai-xxx.jpg"/> - Network accessline 270
Twitter 有自己独立的卡片规范，与 Open Graph 略有不同。 参考文档：https://developer.twitter.com/en/docs/twitter-for-websites/cards/guides/getting-started - Network accessline 271
参考文档：https://developer.twitter.com/en/docs/twitter-for-websites/cards/guides/getting-started - Network accessline 296
| 工具 | 用途 | 地址 | |---|---|---| | AITDK Extension | 免费SEO浏览器插件，可查看任意页面的 Title、Description、Headings、域名注册时间、流量等 | https://aitdk.com/zh-CN/extension/ | - Network accessline 297
|---|---|---| | AITDK Extension | 免费SEO浏览器插件，可查看任意页面的 Title、Description、Headings、域名注册时间、流量等 | https://aitdk.com/zh-CN/extension/ | | Detailed SEO Extension | SEO检测插件，可检查 Canonical、Robots Tag、OG标签等 | https://detailed.com/extension/ | - Network accessline 298
| AITDK Extension | 免费SEO浏览器插件，可查看任意页面的 Title、Description、Headings、域名注册时间、流量等 | https://aitdk.com/zh-CN/extension/ | - Network accessline 299
| Detailed SEO Extension | SEO检测插件，可检查 Canonical、Robots Tag、OG标签等 | https://detailed.com/extension/ | - Network accessline 300
| Google 结构化数据标记辅助工具 | 生成JSON-LD结构化数据代码 | https://www.google.com/webmasters/markup-helper/ | - Network accessline 301
| Google 结构化数据文档 | 官方参考文档 | https://developers.google.com/search/docs/appearance/structured-data/ | - Network accessline 302
| Google Robots Meta Tag文档 | 官方robots标签参考 | https://developers.google.com/search/docs/crawling-indexing/robots-meta-tag |
skills/seo-metadata-audit/references/tag-reference.md
- Network accessline 151
Reference: https://developers.google.com/search/docs/crawling-indexing/robots-meta-tag - Network accessline 175
<!-- On the page itself --> <link rel="canonical" href="https://example.com/blog/my-article"> - Network accessline 176
<link rel="canonical" href="https://example.com/blog/my-article"> - Network accessline 207
<script type="application/ld+json"> { "@context": "http://schema.org", - Network accessline 208
{ "@context": "http://schema.org", "@type": "Article", - Network accessline 209
"@context": "http://schema.org", - Network accessline 226
**Official tools:** - Generator: https://www.google.com/webmasters/markup-helper/ - Network accessline 227
- Generator: https://www.google.com/webmasters/markup-helper/ - Network accessline 228
- Documentation: https://developers.google.com/search/docs/appearance/structured-data/ - Network accessline 255
<meta property="og:title" content="Page Title Here"/> <meta property="og:description" content="Page description here."/> <meta property="og:url" content="https://example.com/page"/> - Network accessline 256
<meta property="og:description" content="Page description here."/> <meta property="og:url" content="https://example.com/page"/> <meta property="og:type" content="website"/> - Network accessline 257
<meta property="og:url" content="https://example.com/page"/> - Network accessline 258
<meta property="og:type" content="website"/> <meta property="og:image" content="https://example.com/image.jpg"/> <meta property="og:image:alt" content="Image description"/> - Network accessline 259
<meta property="og:image" content="https://example.com/image.jpg"/> - Network accessline 269
<meta name="twitter:title" content="Page Title Here"/> <meta name="twitter:description" content="Page description here."/> <meta name="twitter:image" content="https://example.com/image.jpg"/> - Network accessline 271
<meta name="twitter:image" content="https://example.com/image.jpg"/> - Network accessline 274
Reference: https://developer.twitter.com/en/docs/twitter-for-websites/cards/guides/getting-started
skills/skill-creator/LICENSE.txt
skills/skill-creator/assets/eval_review.html
- Network accessline 5
<meta name="viewport" content="width=device-width, initial-scale=1.0"> <title>Eval Set Review - __SKILL_NAME_PLACEHOLDER__</title> <link rel="preconnect" href="https://fonts.googleapis.com"> - Network accessline 6
<title>Eval Set Review - __SKILL_NAME_PLACEHOLDER__</title> <link rel="preconnect" href="https://fonts.googleapis.com"> <link rel="preconnect" href="https://fonts.gstatic.com" crossorigin> - Network accessline 7
<link rel="preconnect" href="https://fonts.googleapis.com"> - Network accessline 8
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin> - Network accessline 9
<link href="https://fonts.googleapis.com/css2?family=Poppins:wght@500;600&family=Lora:wght@400;500&display=swap" rel="stylesheet">
skills/skill-creator/eval-viewer/generate_review.py
skills/skill-creator/eval-viewer/viewer.html
- Network accessline 5
<meta name="viewport" content="width=device-width, initial-scale=1.0"> <title>Eval Review</title> <link rel="preconnect" href="https://fonts.googleapis.com"> - Network accessline 6
<title>Eval Review</title> <link rel="preconnect" href="https://fonts.googleapis.com"> <link rel="preconnect" href="https://fonts.gstatic.com" crossorigin> - Network accessline 7
<link rel="preconnect" href="https://fonts.googleapis.com"> - Network accessline 8
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin> - Network accessline 9
<link href="https://fonts.googleapis.com/css2?family=Poppins:wght@500;600&family=Lora:wght@400;500&display=swap" rel="stylesheet"> - Network accessline 10
<script src="https://cdn.sheetjs.com/xlsx-0.20.3/package/dist/xlsx.full.min.js" integrity="sha384-EnyY0/GSHQGSxSgMwaIPzSESbqoOLSexfnSMN2AP+39Ckmn92stwABZynq1JyzdT" crossorigin="anonymous"></script> - Network accessline 664
if (!hasPrevious) { try { const resp = await fetch("/api/feedback"); - Network accessline 665
try { const resp = await fetch("/api/feedback"); const data = await resp.json(); - Network accessline 666
const resp = await fetch("/api/feedback"); - Network accessline 1012
fetch("/api/feedback", { - Network accessline 1042
} const payload = JSON.stringify({ reviews, status: "complete" }, null, 2); fetch("/api/feedback", { - Network accessline 1043
const payload = JSON.stringify({ reviews, status: "complete" }, null, 2); fetch("/api/feedback", { method: "POST", - Network accessline 1044
fetch("/api/feedback", {
skills/skill-creator/scripts/__init__.py
- Executable scriptline 1
Executable file
skills/skill-creator/scripts/aggregate_benchmark.py
- Executable scriptline 1
#!/usr/bin/env python3
skills/skill-creator/scripts/generate_report.py
- Executable scriptline 1
#!/usr/bin/env python3 - Network accessline 37
<meta charset="utf-8"> """ + refresh_tag + """ <title>""" + title_prefix + """Skill Description Optimization</title> <link rel="preconnect" href="https://fonts.googleapis.com"> - Network accessline 38
""" + refresh_tag + """ <title>""" + title_prefix + """Skill Description Optimization</title> <link rel="preconnect" href="https://fonts.googleapis.com"> <link rel="preconnect" href="https://fonts.gstatic.com" crossorigin> - Network accessline 39
<link rel="preconnect" href="https://fonts.googleapis.com"> - Network accessline 40
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin> - Network accessline 41
<link href="https://fonts.googleapis.com/css2?family=Poppins:wght@500;600&family=Lora:wght@400;500&display=swap" rel="stylesheet">
skills/skill-creator/scripts/improve_description.py
skills/skill-creator/scripts/package_skill.py
- Executable scriptline 1
#!/usr/bin/env python3
skills/skill-creator/scripts/quick_validate.py
- Executable scriptline 1
#!/usr/bin/env python3
skills/skill-creator/scripts/run_eval.py
skills/skill-creator/scripts/run_loop.py
- Executable scriptline 1
#!/usr/bin/env python3
skills/skill-creator/scripts/utils.py
- Executable scriptline 1
Executable file
skills/steal-like-an-artist-kleon/SKILL.md
- Network accessline 198
> "Author's exact words here." > > — [*Steal Like an Artist*, cited excerpt](https://github.com/simbajigege/book2skills/blob/main/skills/steal-like-an-artist-kleon/quotes/FILENAME.md#ANCHOR) - Network accessline 200
> — [*Steal Like an Artist*, cited excerpt](https://github.com/simbajigege/book2skills/blob/main/skills/steal-like-an-artist-kleon/quotes/FILENAME.md#ANCHOR)
skills/stock-picking-by-common-stocks-uncommon-profits/README.md
- Network accessline 40
Download the ZIP from [book2skills.com](https://book2skills.com/en/book/stock-picking-by-common-stocks-uncommon-profits) and upload directly to Claude. - Network accessline 79
Distilled from *Common Stocks and Uncommon Profits and Other Writings* by Philip A. Fisher (1958, revised 1996). Published by book2skills.com — [view the skill page](https://book2skills.com/en/book/stock-picking-by-common-stocks-uncommon-pr
skills/stock-picking-by-common-stocks-uncommon-profits/SKILL.md
- Network accessline 49
--- *Analysis based on the [Common Stocks and Uncommon Profits skill](https://book2skills.com/en/book/stock-picking-by-common-stocks-uncommon-profits). For educational use only.* - Network accessline 50
*Analysis based on the [Common Stocks and Uncommon Profits skill](https://book2skills.com/en/book/stock-picking-by-common-stocks-uncommon-profits). For educational use only.*
skills/stock-picking-by-common-stocks-uncommon-profits/subskills/m1_fifteen_points/references/case_library.md
- Network accessline 2
# 知识来源：《Common Stocks and Uncommon Profits and Other Writings》Philip A. Fisher 著，1996年修订版 # 本文件仅包含 Module 1 使用的引用条目，供 module.md 按 REF-ID 引用 # GitHub: https://github.com/simbajigege/book2skills/blob/main/skills/stock-picking-by-common-stocks - Network accessline 4
# GitHub: https://github.com/simbajigege/book2skills/blob/main/skills/stock-picking-by-common-stocks-uncommon-profits/subskills/m1_fifteen_points/references/case_library.md - Network accessline 27
📖 原书引用：[两种成长公司的区分](https://github.com/simbajigege/book2skills/blob/main/skills/stock-picking-by-common-stocks-uncommon-profits/subskills/m1_fifteen_points/references/case_library.md) - Network accessline 55
📖 原书引用：[15要点框架总纲](https://github.com/simbajigege/book2skills/blob/main/skills/stock-picking-by-common-stocks-uncommon-profits/subskills/m1_fifteen_points/references/case_library.md) - Network accessline 83
📖 原书引用：[销售组织是业务基础 Point 4](https://github.com/simbajigege/book2skills/blob/main/skills/stock-picking-by-common-stocks-uncommon-profits/subskills/m1_fifteen_points/references/case_library.md) - Network accessline 111
📖 原书引用：[最大利润不来自边际企业 Point 5](https://github.com/simbajigege/book2skills/blob/main/skills/stock-picking-by-common-stocks-uncommon-profits/subskills/m1_fifteen_points/references/case_library.md) - Network accessline 139
📖 原书引用：[未来利润率比历史更重要 Point 6](https://github.com/simbajigege/book2skills/blob/main/skills/stock-picking-by-common-stocks-uncommon-profits/subskills/m1_fifteen_points/references/case_library.md) - Network accessline 167
📖 原书引用：[管理层授权 Point 9](https://github.com/simbajigege/book2skills/blob/main/skills/stock-picking-by-common-stocks-uncommon-profits/subskills/m1_fifteen_points/references/case_library.md) - Network accessline 195
📖 原书引用：[诚信一票否决 Point 15](https://github.com/simbajigege/book2skills/blob/main/skills/stock-picking-by-common-stocks-uncommon-profits/subskills/m1_fifteen_points/references/case_library.md)
skills/stock-picking-by-common-stocks-uncommon-profits/subskills/m2_management/references/case_library.md
- Network accessline 2
# 知识来源：《Common Stocks and Uncommon Profits and Other Writings》Philip A. Fisher 著，1996年修订版 # 本文件仅包含 Module 2 使用的引用条目，供 module.md 按 REF-ID 引用 # GitHub: https://github.com/simbajigege/book2skills/blob/main/skills/stock-picking-by-common-stocks - Network accessline 4
# GitHub: https://github.com/simbajigege/book2skills/blob/main/skills/stock-picking-by-common-stocks-uncommon-profits/subskills/m2_management/references/case_library.md - Network accessline 27
📖 原书引用：[外部 CEO 是危险信号](https://github.com/simbajigege/book2skills/blob/main/skills/stock-picking-by-common-stocks-uncommon-profits/subskills/m2_management/references/case_library.md) - Network accessline 55
📖 原书引用：[薪资与利润的正确关系 Point 7](https://github.com/simbajigege/book2skills/blob/main/skills/stock-picking-by-common-stocks-uncommon-profits/subskills/m2_management/references/case_library.md) - Network accessline 83
📖 原书引用：[真正的长期利润导向 Point 12](https://github.com/simbajigege/book2skills/blob/main/skills/stock-picking-by-common-stocks-uncommon-profits/subskills/m2_management/references/case_library.md) - Network accessline 111
📖 原书引用：[坏消息时的沟通透明度 Point 14](https://github.com/simbajigege/book2skills/blob/main/skills/stock-picking-by-common-stocks-uncommon-profits/subskills/m2_management/references/case_library.md) - Network accessline 139
📖 原书引用：[保守投资的第二维度：管理层](https://github.com/simbajigege/book2skills/blob/main/skills/stock-picking-by-common-stocks-uncommon-profits/subskills/m2_management/references/case_library.md) - Network accessline 167
📖 原书引用：[公司成长无限——管理层传承](https://github.com/simbajigege/book2skills/blob/main/skills/stock-picking-by-common-stocks-uncommon-profits/subskills/m2_management/references/case_library.md)
skills/stock-picking-by-common-stocks-uncommon-profits/subskills/m3_scuttlebutt/references/case_library.md
- Network accessline 2
# 知识来源：《Common Stocks and Uncommon Profits and Other Writings》Philip A. Fisher 著，1996年修订版 # 本文件仅包含 Module 3 使用的引用条目，供 module.md 按 REF-ID 引用 # GitHub: https://github.com/simbajigege/book2skills/blob/main/skills/stock-picking-by-common-stocks - Network accessline 4
# GitHub: https://github.com/simbajigege/book2skills/blob/main/skills/stock-picking-by-common-stocks-uncommon-profits/subskills/m3_scuttlebutt/references/case_library.md - Network accessline 27
📖 原书引用：[五家公司交叉询问法](https://github.com/simbajigege/book2skills/blob/main/skills/stock-picking-by-common-stocks-uncommon-profits/subskills/m3_scuttlebutt/references/case_library.md) - Network accessline 55
📖 原书引用：[绝对保护消息来源](https://github.com/simbajigege/book2skills/blob/main/skills/stock-picking-by-common-stocks-uncommon-profits/subskills/m3_scuttlebutt/references/case_library.md) - Network accessline 83
📖 原书引用：[前员工偏见评估](https://github.com/simbajigege/book2skills/blob/main/skills/stock-picking-by-common-stocks-uncommon-profits/subskills/m3_scuttlebutt/references/case_library.md) - Network accessline 111
📖 原书引用：[Scuttlebutt 先于管理层访谈](https://github.com/simbajigege/book2skills/blob/main/skills/stock-picking-by-common-stocks-uncommon-profits/subskills/m3_scuttlebutt/references/case_library.md) - Network accessline 139
📖 原书引用：[年报是销售工具，需超越](https://github.com/simbajigege/book2skills/blob/main/skills/stock-picking-by-common-stocks-uncommon-profits/subskills/m3_scuttlebutt/references/case_library.md)
skills/stock-picking-by-common-stocks-uncommon-profits/subskills/m4_when_to_buy/references/case_library.md
- Network accessline 2
# 知识来源：《Common Stocks and Uncommon Profits and Other Writings》Philip A. Fisher 著，1996年修订版 # 本文件仅包含 Module 4 使用的引用条目，供 module.md 按 REF-ID 引用 # GitHub: https://github.com/simbajigege/book2skills/blob/main/skills/stock-picking-by-common-stocks - Network accessline 4
# GitHub: https://github.com/simbajigege/book2skills/blob/main/skills/stock-picking-by-common-stocks-uncommon-profits/subskills/m4_when_to_buy/references/case_library.md - Network accessline 27
📖 原书引用：[新工厂调试困难期是最佳买入时机](https://github.com/simbajigege/book2skills/blob/main/skills/stock-picking-by-common-stocks-uncommon-profits/subskills/m4_when_to_buy/references/case_library.md) - Network accessline 55
📖 原书引用：[因恐惧市场推迟买入代价高昂](https://github.com/simbajigege/book2skills/blob/main/skills/stock-picking-by-common-stocks-uncommon-profits/subskills/m4_when_to_buy/references/case_library.md) - Network accessline 83
📖 原书引用：[战争风险时应买入而非卖出](https://github.com/simbajigege/book2skills/blob/main/skills/stock-picking-by-common-stocks-uncommon-profits/subskills/m4_when_to_buy/references/case_library.md) - Network accessline 113
📖 原书引用：[高 P/E 不等于高估](https://github.com/simbajigege/book2skills/blob/main/skills/stock-picking-by-common-stocks-uncommon-profits/subskills/m4_when_to_buy/references/case_library.md) - Network accessline 141
📖 原书引用：[不要为价格细节而错失机会](https://github.com/simbajigege/book2skills/blob/main/skills/stock-picking-by-common-stocks-uncommon-profits/subskills/m4_when_to_buy/references/case_library.md)
skills/stock-picking-by-common-stocks-uncommon-profits/subskills/m5_when_to_sell/references/case_library.md
- Network accessline 2
# 知识来源：《Common Stocks and Uncommon Profits and Other Writings》Philip A. Fisher 著，1996年修订版 # 本文件仅包含 Module 5 使用的引用条目，供 module.md 按 REF-ID 引用 # GitHub: https://github.com/simbajigege/book2skills/blob/main/skills/stock-picking-by-common-stocks - Network accessline 4
# GitHub: https://github.com/simbajigege/book2skills/blob/main/skills/stock-picking-by-common-stocks-uncommon-profits/subskills/m5_when_to_sell/references/case_library.md - Network accessline 27
📖 原书引用：[Fisher 三个有效卖出理由](https://github.com/simbajigege/book2skills/blob/main/skills/stock-picking-by-common-stocks-uncommon-profits/subskills/m5_when_to_sell/references/case_library.md) - Network accessline 55
📖 原书引用：[因熊市恐惧卖出的后果](https://github.com/simbajigege/book2skills/blob/main/skills/stock-picking-by-common-stocks-uncommon-profits/subskills/m5_when_to_sell/references/case_library.md) - Network accessline 83
📖 原书引用：[股价上涨不是卖出理由](https://github.com/simbajigege/book2skills/blob/main/skills/stock-picking-by-common-stocks-uncommon-profits/subskills/m5_when_to_sell/references/case_library.md) - Network accessline 111
📖 原书引用：[等回本是最昂贵的心理偏差](https://github.com/simbajigege/book2skills/blob/main/skills/stock-picking-by-common-stocks-uncommon-profits/subskills/m5_when_to_sell/references/case_library.md) - Network accessline 140
📖 原书引用：[Fisher 持有哲学总结](https://github.com/simbajigege/book2skills/blob/main/skills/stock-picking-by-common-stocks-uncommon-profits/subskills/m5_when_to_sell/references/case_library.md) - Network accessline 168
📖 原书引用：[持续持有测试方法](https://github.com/simbajigege/book2skills/blob/main/skills/stock-picking-by-common-stocks-uncommon-profits/subskills/m5_when_to_sell/references/case_library.md)
skills/storybrand-messaging-framework/SKILL.md
- Network accessline 328
> "Author's exact words here." > > - [*Building a StoryBrand*, cited excerpt](https://github.com/simbajigege/book2skills/blob/main/skills/storybrand-messaging-framework/quotes/main-framework-quotes.md#customer-is-hero) - Network accessline 330
> - [*Building a StoryBrand*, cited excerpt](https://github.com/simbajigege/book2skills/blob/main/skills/storybrand-messaging-framework/quotes/main-framework-quotes.md#customer-is-hero)
skills/tool-permission-system/LICENSE
skills/tool-permission-system/references/dangerous-patterns.ts
- Executable scriptline 1
Executable file
skills/tool-permission-system/references/denial-tracking.ts
- Executable scriptline 1
Executable file
skills/tool-permission-system/references/hook-system.md
- Network accessline 91
{ "type": "http", "url": "https://audit.internal/api/log", - Network accessline 92
"type": "http", "url": "https://audit.internal/api/log", "method": "POST" - Network accessline 93
"url": "https://audit.internal/api/log", - Dangerous shell operationline 129
"if": "Bash(rm *)" - Network accessline 157
{ "type": "http", "url": "https://audit.internal/api/permission-request" - Network accessline 158
"type": "http", "url": "https://audit.internal/api/permission-request" } - Network accessline 159
"url": "https://audit.internal/api/permission-request"
skills/tool-permission-system/references/permission-types.ts
- Executable scriptline 1
Executable file
skills/tool-permission-system/references/settings-examples.json
- Dangerous shell operationline 19
"Bash(rm -rf *)", - Network accessline 19
"Bash(rm -rf *)", "Bash(sudo *)", "Bash(curl * | bash)", - Dangerous shell operationline 20
"Bash(sudo *)", - Network accessline 20
"Bash(sudo *)", "Bash(curl * | bash)", "FileEdit(/prod/*)", - Dangerous shell operationline 21
"Bash(curl * | bash)", - Network accessline 21
"Bash(curl * | bash)", - Network accessline 54
{ "type": "http", "url": "https://audit.internal/api/log", - Network accessline 55
"type": "http", "url": "https://audit.internal/api/log", "method": "POST" - Network accessline 56
"url": "https://audit.internal/api/log", - Network accessline 100
{ "type": "http", "url": "https://approval.internal/api/tool-permission", - Network accessline 101
"type": "http", "url": "https://approval.internal/api/tool-permission", "method": "POST" - Network accessline 102
"url": "https://approval.internal/api/tool-permission",
skills/war-of-art-pressfield/SKILL.md
- Network accessline 200
> "Author's exact words here." > > — [*The War of Art*, cited excerpt](https://github.com/simbajigege/book2skills/blob/main/skills/war-of-art-pressfield/quotes/FILENAME.md#ANCHOR) - Network accessline 202
> — [*The War of Art*, cited excerpt](https://github.com/simbajigege/book2skills/blob/main/skills/war-of-art-pressfield/quotes/FILENAME.md#ANCHOR)
How the signals fit together
Facts from a static read of the files at the pinned commit. They describe what the code does, not why.
Some files could not be read; the facts below still hold.
Declared and executed: 2 facts
- Contacts fonts.googleapis.com, which SKILL.md, the README and the plugin manifest do not mentionskill-creator/scripts/generate_report.py:39High confidence
- Contacts fonts.gstatic.com, which SKILL.md, the README and the plugin manifest do not mentionskill-creator/scripts/generate_report.py:40High confidence
Signal confidence: 211 facts
- Dangerous shell operation in code of the SKILL.mdagent-memory-implementation/SKILL.md:58High confidence
- Executable script in code of a file that runsagent-memory-implementation/scripts/memory_audit.py:1High confidence
- Executable script in prose of a file that runsagent-tool-builder/references/agent_tool_base.py:1Low confidence
- Network access in code of the SKILL.mdanalyzing-financial-statements/SKILL.md:112High confidence
- Network access in code of the SKILL.mdanalyzing-financial-statements/SKILL.md:113High confidence
- Network access in code of the SKILL.mdanalyzing-financial-statements/SKILL.md:150High confidence
- Network access in code of the SKILL.mdanalyzing-financial-statements/SKILL.md:151High confidence
- Network access in code of the SKILL.mdanalyzing-financial-statements/SKILL.md:177High confidence
- Network access in code of the SKILL.mdanalyzing-financial-statements/SKILL.md:178High confidence
- Network access in code of the SKILL.mdbusiness-adventures-analysis-brooks/SKILL.md:159High confidence
- Network access in code of the SKILL.mdbusiness-adventures-analysis-brooks/SKILL.md:161High confidence
- Network access in prose of the SKILL.mdclash-cultures-investment-speculation-bogle/SKILL.md:193Low confidence
- Network access in prose of the SKILL.mdclash-cultures-investment-speculation-bogle/SKILL.md:195Low confidence
- Network access in prose of the SKILL.mdcommon-sense-index-investing-bogle/SKILL.md:193Low confidence
- Network access in prose of the SKILL.mdcommon-sense-index-investing-bogle/SKILL.md:195Low confidence
- Executable script in code of a file that runscompact-memory-implementation/scripts/pre_compact_extract.py:1High confidence
- Network access in prose of the SKILL.mdcontract-drafting-and-review-guidance-china-law/SKILL.md:40Low confidence
- Network access in prose of the SKILL.mdcontract-drafting-and-review-guidance-china-law/SKILL.md:42Low confidence
- Network access in code of the SKILL.mdfinacial-statement-reading/SKILL.md:33High confidence
- Network access in code of the SKILL.mdfinacial-statement-reading/SKILL.md:34High confidence
- Network access in code of the SKILL.mdfinacial-statement-reading/SKILL.md:109High confidence
- Network access in code of the SKILL.mdfinacial-statement-reading/SKILL.md:110High confidence
- Network access in code of the SKILL.mdfinacial-statement-reading/SKILL.md:147High confidence
- Network access in code of the SKILL.mdfinacial-statement-reading/SKILL.md:148High confidence
- Network access in prose of documentationharness-step1-create-agent-md/en/harness-step1-create-agent-md.md:7Low confidence
- Network access in prose of documentationharness-step1-create-agent-md/en/harness-step1-create-agent-md.md:8Low confidence
- Network access in prose of documentationharness-step1-create-agent-md/en/harness-step1-create-agent-md.md:9Low confidence
- Network access in prose of documentationharness-step1-create-agent-md/zh/harness-step1-create-agent-md.md:7Low confidence
- Network access in prose of documentationharness-step1-create-agent-md/zh/harness-step1-create-agent-md.md:8Low confidence
- Network access in prose of documentationharness-step1-create-agent-md/zh/harness-step1-create-agent-md.md:9Low confidence
- Network access in prose of documentationharness-step2-fill-docs/en/harness-step2-fill-docs.md:7Low confidence
- Network access in prose of documentationharness-step2-fill-docs/en/harness-step2-fill-docs.md:8Low confidence
- Network access in prose of documentationharness-step2-fill-docs/en/harness-step2-fill-docs.md:9Low confidence
- Network access in prose of documentationharness-step2-fill-docs/zh/harness-step2-fill-docs.md:7Low confidence
- Network access in prose of documentationharness-step2-fill-docs/zh/harness-step2-fill-docs.md:8Low confidence
- Network access in prose of documentationharness-step2-fill-docs/zh/harness-step2-fill-docs.md:9Low confidence
- Broad permissions in prose of documentationharness-step3-session-management/en/harness-step3-session-management.md:1Low confidence
- Network access in prose of documentationharness-step3-session-management/en/harness-step3-session-management.md:7Low confidence
- Network access in prose of documentationharness-step3-session-management/en/harness-step3-session-management.md:8Low confidence
- Network access in prose of documentationharness-step3-session-management/en/harness-step3-session-management.md:9Low confidence
- Broad permissions in prose of documentationharness-step3-session-management/zh/harness-step3-session-management.md:1Low confidence
- Network access in prose of documentationharness-step3-session-management/zh/harness-step3-session-management.md:7Low confidence
- Network access in prose of documentationharness-step3-session-management/zh/harness-step3-session-management.md:8Low confidence
- Network access in prose of documentationharness-step3-session-management/zh/harness-step3-session-management.md:9Low confidence
- Network access in prose of documentationhtml-line-svg/README.md:57Low confidence
- Network access in code of documentationhtml-line-svg/README.md:87Low confidence
- Network access in prose of the SKILL.mdhtml-line-svg/SKILL.md:52Low confidence
- Executable script in code of a file that runshtml-line-svg/scripts/validate-line-svg.mjs:1High confidence
- Network access in prose of the SKILL.mdintelligent-investor-graham/SKILL.md:75Low confidence
- Network access in prose of the SKILL.mdintelligent-investor-graham/SKILL.md:77Low confidence
and 161 more
Works with
| Agent | Status | Evidence | Install to |
|---|---|---|---|
| Claude Code | Compatible | Standard SKILL.md skills/agent-memory-implementation/SKILL.md | .claude/skills/<skill-name>/ |
| Codex | Compatible | Standard SKILL.md skills/agent-memory-implementation/SKILL.md | .agents/skills/<skill-name>/ |
| Cursor | Compatible | Standard SKILL.md skills/agent-memory-implementation/SKILL.md | .cursor/skills/<skill-name>/ |
| Gemini CLI | Compatible | Standard SKILL.md skills/agent-memory-implementation/SKILL.md | .gemini/skills/<skill-name>/ |
| GitHub Copilot | Compatible | Standard SKILL.md skills/agent-memory-implementation/SKILL.md | .github/skills/<skill-name>/ |
| OpenCode | Compatible | Standard SKILL.md skills/agent-memory-implementation/SKILL.md | .opencode/skills/<skill-name>/ |
- Native The repository ships a manifest, folder or frontmatter field for this agent.
- Compatible A standard SKILL.md that this agent can read.
- Unknown No evidence either way.
Derived automatically from paths, manifests and frontmatter. Not tested on each agent.
