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aniganti/pm-superpowers
Find your product's moat in minutes. Product strategy skills (moats, VRIO, pre-mortem) for Claude Code and Cursor.
History
Review weekly changes to SKILL.md before updating. Dates mark the weeks in which we observed each version; checks apply to the recorded commits.
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Verified commit a07be1b7ca4d8091be52436a35c3fcaa766a5664
git clone --filter=blob:none --no-checkout https://github.com/aniganti/pm-superpowers.git .hotskills/aniganti-pm-superpowers && git -C .hotskills/aniganti-pm-superpowers checkout --detach a07be1b7ca4d8091be52436a35c3fcaa766a5664
# Copy each selected skill directory from .hotskills/aniganti-pm-superpowers into .claude/skills/<skill-name>/Heat
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Heat never changes the order by stars, and sponsorship never touches it. How heat works
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Individual skills in this repository
- social-signal-intelligence
plugins/hermes-tweet/skills/social-signal-intelligence - competitive-landscape
plugins/pm-superpowers/skills/competitive-landscape - decision-log
plugins/pm-superpowers/skills/decision-log - find-your-moat
plugins/pm-superpowers/skills/find-your-moat - pre-mortem
plugins/pm-superpowers/skills/pre-mortem - prioritization
plugins/pm-superpowers/skills/prioritization - product-ecosystem
plugins/pm-superpowers/skills/product-ecosystem - prompt-builder
plugins/pm-superpowers/skills/prompt-builder - skill-guide
plugins/pm-superpowers/skills/skill-guide - stakeholder-alignment
plugins/pm-superpowers/skills/stakeholder-alignment - strategic-moat
plugins/pm-superpowers/skills/strategic-moat - strategy
plugins/pm-superpowers/skills/strategy - verification
plugins/pm-superpowers/skills/verification - vrio-analysis
plugins/pm-superpowers/skills/vrio-analysis
How it works
social-signal-intelligence
When your agent uses it
Use when a product manager needs X/Twitter market signals, launch feedback, competitor chatter, creator research, support triage, trend analysis, or an approved social action through Hermes Tweet.
What it loads into context
Frontmatter
70 tokensAlways available to the agent
SKILL.md
750 tokensWhen the skill is activated
Reference documents
28,599 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Setup Checks
- Runtime Boundary
- Instructions
- Output Format
- Safety Rules
- Install Reference
Files
../../../../.claude-plugin/marketplace.jsonasset1,553 bytes../../.claude-plugin/plugin.jsonasset559 bytesSKILL.mdcore3,445 bytesSKILL.mdcore3,445 bytesSKILL.mdcore3,445 bytes../../../pm-superpowers/.claude-plugin/plugin.jsonasset683 bytes../../../pm-superpowers/skills/competitive-landscape/SKILL.mddoc13,515 bytes../../../pm-superpowers/skills/decision-log/SKILL.mddoc6,245 bytes../../../pm-superpowers/skills/find-your-moat/SKILL.mddoc10,464 bytes../../../pm-superpowers/skills/pre-mortem/SKILL.mddoc8,987 bytes../../../pm-superpowers/skills/prioritization/SKILL.mddoc6,647 bytes../../../pm-superpowers/skills/product-ecosystem/SKILL.mddoc12,013 bytes../../../pm-superpowers/skills/prompt-builder/SKILL.mddoc6,044 bytes../../../pm-superpowers/skills/skill-guide/SKILL.mddoc5,432 bytes../../../pm-superpowers/skills/stakeholder-alignment/SKILL.mddoc7,634 bytes../../../pm-superpowers/skills/strategic-moat/SKILL.mddoc16,639 bytes../../../pm-superpowers/skills/strategy/SKILL.mddoc16,168 bytes../../../pm-superpowers/skills/verification/SKILL.mddoc8,941 bytes../../../pm-superpowers/skills/vrio-analysis/SKILL.mddoc13,426 bytes
Read SKILL.md
# Social Signal Intelligence
## Purpose
Turn X/Twitter evidence into product strategy inputs. Use Hermes Tweet to research public posts, profiles, trends, and product conversations, then summarize the signal in a format PMs can feed into strategy, competitive analysis, prioritization, pre-mortems, or decision logs.
## Setup Checks
1. Inspect the tools available in the current session. Never infer availability from this Skill.
2. Require `tweet_explore` before starting any live workflow.
3. Require `tweet_read` before live research.
4. Require `tweet_action` and explicit approval before account-changing work.
5. Keep `HERMES_TWEET_ENABLE_ACTIONS` unset or false for read-only strategy work.
View the complete source on GitHubcompetitive-landscape
When your agent uses it
Conduct a comprehensive competitive landscape analysis including competitor profiling, value chain mapping, positioning maps, and whitespace identification. Trigger phrases: competitive analysis, competitor analysis, competitive landscape, market analysis, who are my competitors
What it loads into context
Frontmatter
60 tokensAlways available to the agent
SKILL.md
2,727 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- Execution Flow
- Stopping Conditions
- Red Flags and Anti-Patterns
- Completion Requirements
- Workflow — Next Steps
Files
SKILL.mdcore13,515 bytesSKILL.mdcore13,515 bytesSKILL.mdcore13,515 bytes
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# Competitive Landscape Analysis
You are a strategic competitive intelligence analyst for product managers. Your role is to help PMs build a comprehensive, actionable understanding of their competitive landscape by combining real-time research with the PM's firsthand market knowledge.
## Overview
This skill produces a complete competitive landscape analysis including:
- Competitor profiles with positioning, strengths, weaknesses, and recent moves
- Value chain mapping across the industry
- Positioning map on dimensions that matter to the PM
- Differentiation gaps and whitespace opportunities
- Actionable strategic recommendations
## Execution FlowView the complete source on GitHubdecision-log
When your agent uses it
Capture and track product decisions with structured reasoning, alternatives considered, and evidence. Builds institutional memory and prevents re-litigation of settled decisions. Trigger phrases: "log a decision", "decision log", "record this decision", "why did we decide", "track decision", "document this decision"
What it loads into context
Frontmatter
82 tokensAlways available to the agent
SKILL.md
1,346 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Why This Matters
- Process
- Stopping Conditions
- Red Flags and Anti-Patterns
- Completion Requirements
- Workflow — Next Steps
Files
SKILL.mdcore6,245 bytesSKILL.mdcore6,245 bytesSKILL.mdcore6,245 bytes
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# Decision Log
You are a product decision documentation specialist. Your job is to help PMs capture decisions with enough context that anyone — including the PM's future self — can understand what was decided, why, what alternatives were considered, and what evidence informed the choice.
## Why This Matters
Product teams reliably lose decision context within weeks. Without a decision log, teams waste cycles re-litigating settled questions, new team members lack context for existing choices, and the reasoning behind trade-offs evaporates. A decision log is institutional memory.
## Process
### Step 1: Capture the Decision
Ask the PM:
View the complete source on GitHubfind-your-moat
When your agent uses it
Run a thin first-pass moat read on the user's real product — four core defensibility types, not a complete assessment. Trigger phrases: "find my moat", "just installed", "where do I start" (when they want value, not a menu), "how defensible is this" as a quick first read.
What it loads into context
Frontmatter
92 tokensAlways available to the agent
SKILL.md
2,609 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Foundational Concepts
- Assessment Flow
- Stopping Conditions
- Red Flags
- Output Format
- Completion Requirements
Files
SKILL.mdcore10,464 bytesSKILL.mdcore10,464 bytesSKILL.mdcore10,464 bytes
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# Find Your Moat
You are a strategic moat analyst doing a **thin first pass**, not a complete defensibility assessment. Score four moat types. Screen the other four with a yes/no. Name the strongest scored moat, the most-at-risk moat, and one move they can make this week.
For a full 8-type assessment, use `strategic-moat`. This pass never claims full defensibility.
## Foundational Concepts
Habit-forming products create defensibility when user investment (time, data, relationships) pulls people back. Network effects make the product more valuable as more people join. Switching costs raise the pain of leaving. Unique data or technology compounds when usage improves the product in ways competitors cannot copy.
Ecosystem lock-in, economies of scale, brand and trust, and regulatory barriers can be the real primary moat. This pass does not rate them. It does ask whether any of them could be primary.
---
View the complete source on GitHubpre-mortem
When your agent uses it
Pre-mortem risk analysis for product launches. Identifies Tigers (real risks), Paper Tigers (overblown concerns), and Elephants (unspoken worries) to improve launch readiness. Trigger phrases: "pre-mortem", "pre mortem", "launch readiness", "risk analysis", "what could go wrong"
What it loads into context
Frontmatter
94 tokensAlways available to the agent
SKILL.md
2,018 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Process
- Notes
- Stopping Conditions
- Red Flags and Anti-Patterns
- Completion Requirements
- Workflow — Next Steps
Files
SKILL.mdcore8,987 bytes
Read SKILL.md
# Pre-Mortem Risk Analysis
The goal of a pre-mortem is to **improve launch readiness**, not assign blame. You are helping the PM stress-test their product or launch plan by imagining failure before it happens — so the team can prevent it.
## Process
### 1. Gather Context
Read the PRD or launch plan. The PM may provide:
- A file path to a PRD or launch plan document
- A URL to a document
- A verbal description of the product and launch
View the complete source on GitHubprioritization
When your agent uses it
Framework-driven feature and initiative prioritization using RICE, ICE, or weighted scoring. Grounds prioritization in strategic pillars and demands evidence-based scoring. Trigger phrases: "prioritize features", "prioritization", "rank these initiatives", "RICE score", "ICE score", "what should we build next", "prioritize my backlog"
What it loads into context
Frontmatter
98 tokensAlways available to the agent
SKILL.md
1,507 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Process
- Red Flags and Anti-Patterns
- Completion Requirements
Files
SKILL.mdcore6,647 bytes
Read SKILL.md
# Feature & Initiative Prioritization
You are a product prioritization advisor. Your job is to help PMs move from gut-feel prioritization to evidence-based ranking using proven frameworks — while ensuring every priority decision traces back to strategic intent.
## Process
### Step 1: Gather Context
Ask the PM:
1. **What are you prioritizing?** List the features, initiatives, or investments to rank. Aim for 5-15 items — fewer is trivial, more needs grouping first.
2. **What is your product strategy?** Briefly describe your strategic pillars or goals. (If a strategy document exists, provide the path.) Prioritization without strategy is just opinion.
3. **Who are the key stakeholders?** Whose input matters for this prioritization?
4. **What are your constraints?** Team size, timeline, budget, technical dependencies.View the complete source on GitHubproduct-ecosystem
When your agent uses it
Analyze a product's value chain and ecosystem strategy using aggregation theory, identifying integration opportunities and portfolio coherence. Trigger phrases: "ecosystem strategy", "product ecosystem", "aggregation theory", "value chain analysis", "product portfolio strategy"
What it loads into context
Frontmatter
70 tokensAlways available to the agent
SKILL.md
2,355 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- TL;DR
- Analysis Flow
- Stopping Conditions
- Red Flags and Anti-Patterns
- Completion Requirements
- Workflow — Next Steps
Files
SKILL.mdcore12,013 bytesSKILL.mdcore12,013 bytes
Read SKILL.md
# Product Ecosystem Strategy
You are a product ecosystem strategist. Your job is to help a PM map their product's value chain, assess integration opportunities through the lens of aggregation theory, evaluate portfolio coherence, and identify closed-loop opportunities that create compounding defensibility.
## TL;DR
1. Map out your company/product's value chain including supply, distribution, and access to users
2. Balance short-term product initiatives with the longer-term mission
3. Identify all players in the value chain that you think you can replace — think about backward or forward integration to create a moat
---
## Analysis Flow
View the complete source on GitHubprompt-builder
When your agent uses it
A generative AI prompt builder for product managers. Walks PMs through 9 guided questions to craft structured, effective prompts for any AI assistant. Use when a PM says "help me write a prompt", "build a prompt", "prompt builder", or "I need a prompt for..."
What it loads into context
Frontmatter
92 tokensAlways available to the agent
SKILL.md
1,307 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Instructions
- Output Format
- Stopping Conditions
- Red Flags and Anti-Patterns
- Completion Requirements
Files
SKILL.mdcore6,044 bytes
Read SKILL.md
# AI Prompt Builder for Product Managers
## Purpose
Help product managers craft well-structured, effective prompts for generative AI tools. This skill walks the PM through a series of guided questions — one at a time — to gather the context needed to produce a polished, ready-to-use prompt.
## Instructions
You are an AI prompt creation assistant for product managers. You are great at asking clarifying questions to understand the user's needs and then crafting effective prompts based on that information.
### Interaction Model
- Ask **one question at a time** and wait for the user's response before moving to the next
- If the user provided an argument when invoking this skill, use it as context to tailor your questionsView the complete source on GitHubskill-guide
When your agent uses it
Guide to all available PM Superpowers skills, recommended workflows, and how to get the most out of the plugin. Trigger phrases: "what can you do", "help me with PM", "which skill should I use", "pm superpowers help", "list skills", "what skills are available", "skill guide"
What it loads into context
Frontmatter
83 tokensAlways available to the agent
SKILL.md
1,255 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Available Skills
- Recommended Workflows
- How to Invoke Skills
- Where Outputs Are Saved
- Getting Started
Files
SKILL.mdcore5,432 bytes
Read SKILL.md
# Skill Guide
You are the guide to the PM Superpowers plugin. When invoked, help the PM understand what skills are available, how they connect, and which one to use for their current need.
This skill was formerly `using-pm-superpowers`.
## Available Skills
| Skill | What It Does | Best For |
|---|---|---|
| **find-your-moat** | Thin first-pass moat read: 4 types scored, all 8 screened. Not a full defensibility assessment | **Start here for first value** — just installed, "find my moat", or "where do I start" when they want a real pass not a menu |
| **strategy** | Interactive 6-step product strategy framework (Rumelt's kernel) | Building a comprehensive product strategy from scratch or reviewing an existing one |
| **competitive-landscape** | Competitor profiling, positioning maps, whitespace identification | Understanding your competitive environment and finding opportunities |
| **vrio-analysis** | Assess resources/capabilities for sustained competitive advantage | Evaluating which internal strengths are truly defensible |View the complete source on GitHubstakeholder-alignment
When your agent uses it
Prepare tailored stakeholder briefing documents, audience-specific FAQs, and workshop agendas to build alignment on product strategy. Takes any strategy artifact as input and adapts it for different audiences. Trigger phrases: "stakeholder alignment", "prepare for presentation", "briefing document", "how do I present this", "get buy-in", "workshop agenda"
What it loads into context
Frontmatter
99 tokensAlways available to the agent
SKILL.md
1,653 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Why This Matters
- Process
- Red Flags and Anti-Patterns
- Completion Requirements
Files
SKILL.mdcore7,634 bytes
Read SKILL.md
# Stakeholder Alignment
You are a strategic communications advisor for product managers. Your job is to take a PM's strategy artifact and transform it into tailored communications for different stakeholder audiences — because a strategy that only exists in one document fails on contact with the organization.
## Why This Matters
The hardest part of PM work is not creating the strategy — it is getting alignment on it. Different stakeholders have different concerns, different vocabularies, and different decision criteria. A single document presented identically to everyone will fail to resonate with anyone.
## Process
### Step 1: Load the Strategy Artifact
Read the strategy artifact the PM wants to socialize. This could be:
- A strategy document (from the `strategy` skill)View the complete source on GitHubstrategic-moat
When your agent uses it
Assess the defensibility of a product or company across 8 moat types, grounded in habit-forming product theory, the Fogg Behaviour Model, and aggregation theory. Trigger phrases: "moat analysis", "strategic moat", "defensibility assessment", "competitive moat", "how defensible is my product"
What it loads into context
Frontmatter
88 tokensAlways available to the agent
SKILL.md
3,646 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Foundational Concepts
- Assessment Flow
- Stopping Conditions
- Red Flags and Anti-Patterns
- Completion Requirements
- Workflow — Next Steps
Files
SKILL.mdcore16,639 bytesSKILL.mdcore16,639 bytesSKILL.mdcore16,639 bytes
Read SKILL.md
# Strategic Moat Assessment
You are a strategic moat analyst. Your job is to rigorously assess the defensibility of a product or company across eight moat types, surface evidence for each, and identify concrete opportunities to deepen every moat.
If the PM wants a quick first read or just installed and wants value now, use `find-your-moat` instead of this full assessment.
## Foundational Concepts
Before you begin the assessment, internalize these three frameworks — they underpin the entire analysis.
### 1. Habit-Forming Products as Moats
When users invest time, money, and emotion into a product, their anticipation of future benefits keeps them coming back. This creates a self-reinforcing feedback loop: investment leads to anticipation, anticipation leads to return usage, return usage leads to deeper investment. Products that achieve this loop possess one of the strongest moats available — the user's own behaviour.
View the complete source on GitHubstrategy
When your agent uses it
Interactive 6-step product strategy framework grounded in Rumelt's strategy kernel (Why/What/How). Guides PMs through market analysis, problem definition, strategic pillars, design and technical alignment, vision and goals, and communication planning. Trigger phrases: "product strategy", "develop strategy", "strategic analysis", "help with strategy", "strategy review", "create a product strategy"
What it loads into context
Frontmatter
105 tokensAlways available to the agent
SKILL.md
3,357 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Step 1: Understand the Market and Users
- Step 2: Understand the Problem Space
- Step 3: Identify Key Pillars of Strategy
- Step 4: Seek Design and Technical Alignment
- Step 5: Define Vision, Mission, and Goals
- Step 6: Put It All Together and Communicate
- Interaction Model
- Stopping Conditions
- Red Flags and Anti-Patterns
- Completion Requirements
- Workflow — Next Steps
Files
SKILL.mdcore16,168 bytesSKILL.mdcore16,168 bytes
Read SKILL.md
# Product Strategy Framework
This is the main orchestrator skill for developing a product strategy. It implements a 6-step interactive framework grounded in Rumelt's strategy kernel (Why/What/How).
**This skill is interactive.** At each step, ask questions, wait for the PM's responses, then synthesize before moving on. Use "one round of questions at a time" pacing — do not overwhelm the PM with everything at once.
If the PM provides a path to an existing strategy document, read it first and use it as a starting point. Identify what is already covered and what gaps remain, then pick up the framework from the appropriate step.
---
## Step 1: Understand the Market and Users
Start by building a deep understanding of the market, users, and competitive landscape.
View the complete source on GitHubverification
When your agent uses it
Verify the quality and completeness of any PM strategy artifact before sharing with stakeholders. Re-reads the document and validates against a structured checklist. Trigger phrases: "verify my strategy", "check my document", "quality check", "review before sharing", "is this ready to share"
What it loads into context
Frontmatter
81 tokensAlways available to the agent
SKILL.md
2,017 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- Process
- Red Flags and Anti-Patterns
Files
SKILL.mdcore8,941 bytes
Read SKILL.md
# Verification Before Completion
NO COMPLETION CLAIMS WITHOUT FRESH VERIFICATION EVIDENCE. This skill exists to prevent thin, placeholder-heavy, or internally contradictory strategy artifacts from being shared with stakeholders.
## When to Use
Invoke this skill after any document-producing skill (find-your-moat, strategy, competitive-landscape, vrio-analysis, strategic-moat, product-ecosystem, pre-mortem, prioritization, decision-log, stakeholder-alignment, prompt-builder) and before sharing the artifact with stakeholders.
## Process
### Step 1: Load the Artifact
Read the document the PM wants to verify. The PM may provide:
- A file path to a saved artifactView the complete source on GitHubvrio-analysis
When your agent uses it
Conduct a VRIO (Value, Rarity, Imitability, Organization) analysis to assess competitive advantages of a product or company. Trigger phrases: vrio, vrio analysis, competitive advantage assessment, resource analysis
What it loads into context
Frontmatter
63 tokensAlways available to the agent
SKILL.md
2,802 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- Execution Flow
- Stopping Conditions
- Red Flags and Anti-Patterns
- Completion Requirements
- Workflow — Next Steps
Files
SKILL.mdcore13,426 bytes
Read SKILL.md
# VRIO Analysis
You are a strategic product management advisor specializing in resource-based competitive analysis. Your role is to guide PMs through a structured VRIO framework assessment to identify which of their company's resources and capabilities form the basis for sustained competitive advantage.
## Overview
VRIO analysis evaluates internal resources and capabilities across four dimensions:
- **Value** — Does it exploit opportunities or neutralize threats?
- **Rarity** — Is it controlled by only a small number of competing firms?
- **Imitability** — Is it costly for others to develop or acquire?
- **Organization** — Is the firm organized to capture the value of this resource?
The combination of these four assessments determines the competitive implication of each resource.
View the complete source on GitHubSkills included
- social-signal-intelligence
- competitive-landscape
- decision-log
- find-your-moat
- pre-mortem
- prioritization
- product-ecosystem
- prompt-builder
- skill-guide
- stakeholder-alignment
- strategic-moat
- strategy
- verification
- vrio-analysis
Repository facts
- License
- MIT
- Created
- Mar 17, 2026
- Last pushed
- Oct 20, 2026
- Forks
- 2
- Open issues
- 0
- Project activity
- Active
Before you install
Instructions onlyAutomated 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 12 notes
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- No broad tool permissions
- No dangerous shell commands
- 22 network referencesin 3 files: .claude-plugin/marketplace.json:3 plugins/hermes-tweet/.claude-plugin/plugin.json:5 plugins/pm-superpowers/.claude-plugin/plugin.json:5
- No hidden or obfuscated text
- No instruction overrides
- No executable scripts
- No access to secrets
- No requests to vote in Hot
Show all 22 signals by file
.claude-plugin/marketplace.json
- Network accessline 3
"owner": { "name": "Ani Ganti", "url": "https://github.com/aniganti" - Network accessline 4
"name": "Ani Ganti", "url": "https://github.com/aniganti" }, - Network accessline 5
"url": "https://github.com/aniganti" - Network accessline 16
"author": { "name": "Ani Ganti", "url": "https://github.com/aniganti" - Network accessline 17
"name": "Ani Ganti", "url": "https://github.com/aniganti" }, - Network accessline 18
"url": "https://github.com/aniganti" - Network accessline 19
}, "homepage": "https://github.com/aniganti/pm-superpowers", "tags": ["product-management", "find-your-moat", "strategy", "competitive-analysis", "vrio", "pre-mortem", "stakeholder-alignment", "prioritization", "verification", " - Network accessline 20
"homepage": "https://github.com/aniganti/pm-superpowers", - Network accessline 28
"author": { "name": "Xquik", "url": "https://github.com/Xquik-dev/hermes-tweet" - Network accessline 29
"name": "Xquik", "url": "https://github.com/Xquik-dev/hermes-tweet" }, - Network accessline 30
"url": "https://github.com/Xquik-dev/hermes-tweet" - Network accessline 31
}, "homepage": "https://github.com/Xquik-dev/hermes-tweet#readme", "tags": ["product-management", "social-listening", "competitive-analysis", "launch-monitoring", "hermes-agent", "twitter", "x"], - Network accessline 32
"homepage": "https://github.com/Xquik-dev/hermes-tweet#readme",
plugins/hermes-tweet/.claude-plugin/plugin.json
- Network accessline 5
"author": { "name": "Xquik", "url": "https://github.com/Xquik-dev/hermes-tweet" - Network accessline 6
"name": "Xquik", "url": "https://github.com/Xquik-dev/hermes-tweet" }, - Network accessline 7
"url": "https://github.com/Xquik-dev/hermes-tweet" - Network accessline 18
"automation" ], "homepage": "https://github.com/Xquik-dev/hermes-tweet#readme", - Network accessline 19
], "homepage": "https://github.com/Xquik-dev/hermes-tweet#readme", "skills": "./skills/" - Network accessline 20
"homepage": "https://github.com/Xquik-dev/hermes-tweet#readme",
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.
No combined signals at this commit.
Works with
| Agent | Status | Evidence | Install to |
|---|---|---|---|
| Claude Code | Native | Manifest .claude-plugin/marketplace.json | .claude/skills/<skill-name>/ |
| Codex | Compatible | Standard SKILL.md plugins/hermes-tweet/skills/social-signal-intelligence/SKILL.md | .agents/skills/<skill-name>/ |
| Cursor | Compatible | Standard SKILL.md plugins/hermes-tweet/skills/social-signal-intelligence/SKILL.md | .cursor/skills/<skill-name>/ |
| Gemini CLI | Compatible | Standard SKILL.md plugins/hermes-tweet/skills/social-signal-intelligence/SKILL.md | .gemini/skills/<skill-name>/ |
| GitHub Copilot | Compatible | Standard SKILL.md plugins/hermes-tweet/skills/social-signal-intelligence/SKILL.md | .github/skills/<skill-name>/ |
| OpenCode | Compatible | Standard SKILL.md plugins/hermes-tweet/skills/social-signal-intelligence/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.