#851 by GitHub stars
star23/Day1Global-Skills
Day1Global Finance Skills Share: US Stock, Macro Market, Crypto
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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btc-bottom-model/SKILL.md
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macro-liquidity/SKILL.md
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us-value-investing/SKILL.md
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Heat
2.8- Star growth, last 7 daysAhead of 36% of tracked repositories
- Star growth, last 24 hoursAhead of 72% of tracked repositories
- Rank movement, last 7 daysAhead of 7% of tracked repositories
- Commits, last 30 daysAhead of 0% of tracked repositories
- Accounts asking about it through MCP, last 7 daysNot available
- Hot votes this weekAhead of 0% of tracked repositories
Heat never changes the order by stars, and sponsorship never touches it. How heat works
Stars over time
Individual skills in this repository
- btc-bottom-model
btc-bottom-model - macro-liquidity
macro-liquidity - tech-earnings-deepdive
tech-earnings-deepdive - us-market-sentiment
us-market-sentiment - us-value-investing
us-value-investing
How it works
btc-bottom-model
When your agent uses it
Bitcoin cycle timing model with weighted scoring system. Tracks 13 indicators across 2 categories — Daily Pulse (4 indicators, 32 points) and Weekly Structure (9 indicators, 68 points) — producing a composite 0-100 Market Heat Score. Covers ETF flows, funding rate, long/short ratio, fear & greed index, LTH-MVRV, NUPL, SOPR (LTH + STH), LTH supply %, moving average multiples (365d MA, 200w MA), weekly RSI, and volume trends. Provides both buy AND sell recommendations across the full market cycle. Use this skill when users mention Bitcoin bottom-fishing, BTC cycle position, whether to buy or sell BTC, on-chain metrics, MVRV, NUPL, SOPR, LTH behavior, ETF inflows/outflows, funding rates, fear index, whether Bitcoin is overheated, miner cost, crypto market sentiment, BTC position sizing, or any question like "Should I buy Bitcoin now?" or "Is BTC topping out?" or "What do on-chain indicators say?"
What it loads into context
Frontmatter
228 tokensAlways available to the agent
SKILL.md
5,812 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
- Use Cases
- Scoring System Overview
- Daily Pulse Indicators (32 points total)
- Weekly Structure Indicators (68 points total)
- Market Heat Score — Comprehensive Rating
- Output Format
- Execution Steps
- Data Sources
- Important Reminders
- Language & Output Rules
Files
SKILL.mdcore22,817 bytes
Read SKILL.md
# Bitcoin Cycle Timing Model (BTC Market Heat Scoring System)
This skill helps you systematically assess where Bitcoin sits in its market cycle — from extreme fear (accumulation opportunity) to extreme greed (distribution/exit signal). Through a weighted evaluation of 13 on-chain, sentiment, and market indicators, it produces a 0-100 **Market Heat Score** and actionable buy/sell recommendations.
## Use Cases
Use this skill when users ask the following types of questions:
- Has Bitcoin bottomed out / Can I buy the dip
- Is Bitcoin overheated / Should I take profits
- Where is BTC in the current cycle
- Do on-chain data support building or reducing a position
- What are long-term holders doing / Are ETFs buying or selling
- Is leverage too high / Is the market too greedy
View the complete source on GitHubmacro-liquidity
When your agent uses it
Macro liquidity monitoring and risk early-warning system. By tracking 4 core indicators (Fed Net Liquidity, SOFR Overnight Financing Rate, MOVE Treasury Volatility Index, Yen Carry Trade Signals), it provides real-time assessment of liquidity conditions in the global financial system, outputting liquidity ratings and risk response recommendations. When users mention topics such as liquidity, Fed balance sheet reduction (QT), TGA account, reverse repo ON RRP, SOFR rate, MOVE index, Treasury volatility, yen carry trade, USDJPY and interest rate differentials, impact of QT on markets, whether money is tight, liquidity inflection points, tightening financial conditions, etc., this skill should be used. Even if users ask broadly "how is liquidity right now" or "is the Fed draining or injecting liquidity," this skill should be triggered to provide a structured analytical framework.
What it loads into context
Frontmatter
179 tokensAlways available to the agent
SKILL.md
3,330 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
- Use Cases
- Analytical Framework
- Output Format
- Execution Steps
- Important Reminders
- Language & Output Rules
Files
SKILL.mdcore14,840 bytesSKILL.mdcore14,840 bytes
Read SKILL.md
# Macro Liquidity Monitoring System
This skill helps you track the most critical "water level" in the global financial system — liquidity. Liquidity can be simply understood as how much money is flowing in the market. When there is plenty of money (ample liquidity), asset prices tend to rise; when money is scarce (tight liquidity), asset prices come under pressure. These 4 indicators cover the complete chain from the Fed's "main faucet" to the market's "end of the pipeline."
## Use Cases
Use this skill when users ask the following types of questions:
- How is liquidity right now / Is the Fed injecting or draining liquidity
- What is the SOFR rate trend
- Is Treasury market volatility high
- Will the yen carry trade blow up
- Is the macro environment friendly for risk assets (stocks, crypto)
## Analytical FrameworkView the complete source on GitHubtech-earnings-deepdive
When your agent uses it
Tech Stock Earnings Deep Dive Analysis and Multi-Perspective Investment Memo System (v3.0). Covers 16 major analysis modules (A-P), 6 investment philosophy perspectives, institutional-grade evidence standards, anti-bias framework, and actionable decision system. When users mention topics such as tech company earnings analysis, quarterly/annual report interpretation, earnings call, revenue growth analysis, margin changes, guidance, valuation models, DCF, reverse DCF, EV/EBITDA, PEG, Rule of 40, management analysis, competitive landscape, position sizing, whether to buy/sell/add to a tech stock position, how to interpret a company's latest earnings, doing a deep dive, multi-angle valuation, how investment masters view a company, variant view, key forces, kill conditions, ownership structure, executive team, partner ecosystem, macro policy impact, etc., this skill should be used. Even if the user simply asks "help me look at NVDA's latest earnings" or "how did META do this quarter" or "should I keep holding MSFT," this skill should be triggered to provide comprehensive earnings analysis and a multi-perspective investment memo. This skill complements the us-value-investing skill — us-value-investing focuses on long-term value four-dimensional scoring, while this skill focuses on in-depth dissection of the latest earnings, comprehensive judgment across multiple investment philosophies, and actionable position decisions.
What it loads into context
Frontmatter
293 tokensAlways available to the agent
SKILL.md
3,993 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
- Positioning & Design Philosophy
- Master Execution Flow
- Step Zero: Key Forces Identification
- Step One: 16 Major Analysis Modules (A-P)
- Step Two: 6 Investment Philosophy Perspectives
- Step Three: Variant View
- Step Four: Anti-Bias & Pre-Mortem
- Step Five: Comprehensive Judgment & Output
- Writing Discipline
- Coordination with Existing Skills
- Language & Output Rules
Files
SKILL.mdcore18,089 bytesSKILL.mdcore18,089 bytesSKILL.mdcore18,089 bytes
Read SKILL.md
# Tech Stock Earnings Deep Dive Analysis & Multi-Perspective Investment Memo v3.0
## Positioning & Design Philosophy
You are providing **institutional-grade** earnings analysis services for a "large retail investor" — someone investing their own capital, with no LPs, who holds tech stock positions on a quarterly and annual basis.
Core design principles:
- **Key Forces Driven**: First identify 1-3 decisive forces, then prioritize the 16 modules around those forces — deeply examine related modules, provide standard coverage for the rest
- **Multi-Philosophy Confrontation**: Review the same dataset through 6 completely different investment worldviews, letting conclusions emerge from the collision
- **Primary Evidence First**: Third-party aggregation sites are the floor, not the ceiling — trace information back to its source
- **Actionable Decisions**: Not "bullish/bearish," but "at what price take what action, what conditions trigger an exit"
- **Quarterly Tracking Design**: Each module has built-in QoQ and YoY comparison frameworks to support continuous cross-quarter tracking
---View the complete source on GitHubus-market-sentiment
When your agent uses it
US stock market sentiment monitoring and position recommendation system. Evaluates market sentiment by tracking 5 core indicators (NAAIM Exposure Index, Institutional Equity Allocation, Retail Net Buying, S&P 500 Forward P/E Ratio, Hedge Fund Leverage) and outputs sentiment ratings and position recommendations. This skill should be used when the user mentions topics such as US stock sentiment, market overheating, greed/fear indicators, NAAIM, institutional positioning, retail sentiment, P/E valuation bubbles, hedge fund leverage, whether to reduce positions, market risk assessment, position management advice, market top/bottom signals, etc. Even if the user simply asks "Is the US stock market risky right now?" or "Should I reduce my positions?", this skill should be triggered to provide a structured analytical framework.
What it loads into context
Frontmatter
167 tokensAlways available to the agent
SKILL.md
2,186 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
- Use Cases
- Analytical Framework
- Output Format
- Execution Steps
- Important Reminders
- Language & Output Rules
Files
SKILL.mdcore10,160 bytesSKILL.mdcore10,160 bytes
Read SKILL.md
# US Stock Market Sentiment Monitoring System
This skill helps you systematically analyze US stock market sentiment, determine whether the current market is in a state of greed or fear based on 5 core indicators, and provide position adjustment recommendations.
## Use Cases
Use this skill when users ask the following types of questions:
- Is the US stock market overheating / Should I reduce my positions
- What is the current market sentiment
- What are institutional and retail investor positioning levels
- Are valuations too high
- Market risk assessment
## Analytical FrameworkView the complete source on GitHubus-value-investing
When your agent uses it
US stock value investing analysis framework. Systematically evaluates listed companies through 4 core dimensions (ROE sustainability, debt safety, free cash flow quality, economic moat assessment), outputting investment ratings and analytical reasoning. This skill should be used when users mention topics such as whether a US stock is worth holding long-term, fundamental analysis of a company, ROE analysis, debt ratio assessment, free cash flow, economic moat, Buffett-style stock picking, value investing screening, how to read a company's financial reports, whether a stock's valuation is reasonable, etc. Even if users simply ask something general like "What do you think of stock XX?" or "Help me analyze XX's fundamentals," this skill should be triggered to provide a structured value investing analysis framework.
What it loads into context
Frontmatter
160 tokensAlways available to the agent
SKILL.md
3,110 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
- Use Cases
- Analysis Framework
- Output Format
- Execution Steps
- Important Reminders
- Language & Output Rules
Files
SKILL.mdcore13,929 bytesSKILL.mdcore13,929 bytesSKILL.mdcore13,929 bytes
Read SKILL.md
# US Stock Value Investing Analysis Framework
This skill helps you systematically analyze whether a US-listed company is worth holding long-term using Buffett-style value investing methods. Through quantitative assessment across 4 core dimensions, it provides a clear investment rating.
## Use Cases
Use this skill when users ask the following types of questions:
- Whether a particular US stock is worth buying/holding long-term
- Help me analyze a company's fundamentals
- How to interpret a company's financial report data
- Whether a company has an economic moat
- Help me screen stocks using value investing methods
## Analysis FrameworkView the complete source on GitHubSkills included
- btc-bottom-model
- macro-liquidity
- tech-earnings-deepdive
- us-market-sentiment
- us-value-investing
Repository facts
- License
- MIT
- Created
- Feb 28, 2026
- Last pushed
- Aug 18, 2026
- Forks
- 158
- Open issues
- 2
- Project activity
- Slowing
Rank over the last 12 weeks
Now #851 · best #555 · down 176 in 30 days
- #836 on Nov 2
- #842 on Nov 3
- #845 on Nov 4
- #846 on Nov 5
- #844 on Nov 6
- #851 since Nov 7
42 earlier periods
- #533 on Aug 2
- #525 on Aug 8
- #532 on Aug 9
- #554 on Aug 10
- #556 from Aug 11 to Aug 12
- #559 on Aug 13
- #540 on Aug 15
- #555 on Aug 16
- #561 on Aug 17
- #576 on Aug 18
- #581 on Aug 23
- #583 on Aug 24
- #571 on Aug 29
- #568 on Aug 30
- #597 on Sep 2
- #584 on Sep 5
- #594 on Sep 6
- #602 on Sep 7
- #610 on Sep 9
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- #615 on Sep 19
- #645 on Sep 21
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- #662 on Oct 5
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- #681 on Oct 10
- #674 on Oct 11
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- #703 on Oct 15
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- #731 on Oct 20
- #723 on Oct 23
- #811 on Oct 25
- #819 on Oct 28
- #822 on Oct 29
- #826 on Oct 30
- #831 on Oct 31
- #832 on Nov 1
Before you install
Network or broad shellAutomated signals, not a guarantee
Checked Nov 4, 2026
Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.
Show 6 notes
macro-liquidity/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedtech-earnings-deepdive/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedtech-earnings-deepdive/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedus-market-sentiment/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedus-value-investing/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedus-value-investing/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzed
- No broad tool permissions
- No dangerous shell commands
- 23 network referencesin 5 files: btc-bottom-model/SKILL.md:335 macro-liquidity/SKILL.md:218 tech-earnings-deepdive/SKILL.md:295 and 2 more
- No hidden or obfuscated text
- No instruction overrides
- No executable scripts
- No access to secrets
- No requests to vote in Hot
Show all 23 signals by file
btc-bottom-model/SKILL.md
- Network accessline 335
https://brief.day1global.xyz/api/btc-score - Network accessline 369
- **Primary (all-in-one)**: `https://brief.day1global.xyz/api/btc-score` — returns all 13 indicator raw values + pre-calculated scores in a single call, minimizing API usage - Network accessline 380
- **Always call `https://brief.day1global.xyz/api/btc-score` first** — one request returns all 13 indicators + scores, no paid subscriptions needed, and avoids excessive API calls - Network accessline 396
> If you find this skill helpful, follow the authors **[Ruby](https://x.com/Rubywang)** and **[Star](https://x.com/starzq)** for in-depth insights on assets, social media, education, and life in the AI era — helping you become a super indiv - Network accessline 398
> GitHub: https://github.com/star23/Day1Global-Skills/ - Network accessline 402
> 如果这个 skill 对你有帮助,欢迎关注作者 **[Ruby](https://x.com/Rubywang)** 和 **[Star](https://x.com/starzq)**,深度解析 AI 时代的资产、社媒、教育、生活,帮你成为全球化时代的超级个体。 - Network accessline 404
> GitHub 仓库:https://github.com/star23/Day1Global-Skills/
macro-liquidity/SKILL.md
- Network accessline 218
> If you find this skill helpful, follow the authors **[Ruby](https://x.com/Rubywang)** and **[Star](https://x.com/starzq)** for in-depth insights on assets, social media, education, and life in the AI era — helping you become a super indiv - Network accessline 220
> GitHub: https://github.com/star23/Day1Global-Skills/ - Network accessline 224
> 如果这个 skill 对你有帮助,欢迎关注作者 **[Ruby](https://x.com/Rubywang)** 和 **[Star](https://x.com/starzq)**,深度解析 AI 时代的资产、社媒、教育、生活,帮你成为全球化时代的超级个体。 - Network accessline 226
> GitHub 仓库:https://github.com/star23/Day1Global-Skills/
tech-earnings-deepdive/SKILL.md
- Network accessline 295
> If you find this skill helpful, follow the authors **[Ruby](https://x.com/Rubywang)** and **[Star](https://x.com/starzq)** for in-depth insights on assets, social media, education, and life in the AI era — helping you become a super indiv - Network accessline 297
> GitHub: https://github.com/star23/Day1Global-Skills/ - Network accessline 301
> 如果这个 skill 对你有帮助,欢迎关注作者 **[Ruby](https://x.com/Rubywang)** 和 **[Star](https://x.com/starzq)**,深度解析 AI 时代的资产、社媒、教育、生活,帮你成为全球化时代的超级个体。 - Network accessline 303
> GitHub 仓库:https://github.com/star23/Day1Global-Skills/
us-market-sentiment/SKILL.md
- Network accessline 172
> If you find this skill helpful, follow the authors **[Ruby](https://x.com/Rubywang)** and **[Star](https://x.com/starzq)** for in-depth insights on assets, social media, education, and life in the AI era — helping you become a super indiv - Network accessline 174
> GitHub: https://github.com/star23/Day1Global-Skills/ - Network accessline 178
> 如果这个 skill 对你有帮助,欢迎关注作者 **[Ruby](https://x.com/Rubywang)** 和 **[Star](https://x.com/starzq)**,深度解析 AI 时代的资产、社媒、教育、生活,帮你成为全球化时代的超级个体。 - Network accessline 180
> GitHub 仓库:https://github.com/star23/Day1Global-Skills/
us-value-investing/SKILL.md
- Network accessline 218
> If you find this skill helpful, follow the authors **[Ruby](https://x.com/Rubywang)** and **[Star](https://x.com/starzq)** for in-depth insights on assets, social media, education, and life in the AI era — helping you become a super indiv - Network accessline 220
> GitHub: https://github.com/star23/Day1Global-Skills/ - Network accessline 224
> 如果这个 skill 对你有帮助,欢迎关注作者 **[Ruby](https://x.com/Rubywang)** 和 **[Star](https://x.com/starzq)**,深度解析 AI 时代的资产、社媒、教育、生活,帮你成为全球化时代的超级个体。 - Network accessline 226
> GitHub 仓库:https://github.com/star23/Day1Global-Skills/
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.
Signal confidence: 1 fact
- Network access in code of the SKILL.mdbtc-bottom-model/SKILL.md:335High confidence
Works with
| Agent | Status | Evidence | Install to |
|---|---|---|---|
| Claude Code | Compatible | Standard SKILL.md btc-bottom-model/SKILL.md | .claude/skills/<skill-name>/ |
| Codex | Compatible | Standard SKILL.md btc-bottom-model/SKILL.md | .agents/skills/<skill-name>/ |
| Cursor | Compatible | Standard SKILL.md btc-bottom-model/SKILL.md | .cursor/skills/<skill-name>/ |
| Gemini CLI | Compatible | Standard SKILL.md btc-bottom-model/SKILL.md | .gemini/skills/<skill-name>/ |
| GitHub Copilot | Compatible | Standard SKILL.md btc-bottom-model/SKILL.md | .github/skills/<skill-name>/ |
| OpenCode | Compatible | Standard SKILL.md btc-bottom-model/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.
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