#851 by GitHub stars

star23/Day1Global-Skills

Day1Global Finance Skills Share: US Stock, Macro Market, Crypto

History

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btc-bottom-model/SKILL.md

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macro-liquidity/SKILL.md

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us-market-sentiment/SKILL.md

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us-value-investing/SKILL.md

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View on GitHubAdd to my skills

Verified commit 562c14b0c0bc84abff755181ead30ebea613d063

1.1kGitHub stars
1star in 7 days
5skills in this repository
0commits in 30 days

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

Aug 2, 2026Nov 6, 20261,064

Individual skills in this repository

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 tokens

Always available to the agent

SKILL.md

5,812 tokens

When the skill is activated

Reference documents

0 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

  1. Use Cases
  2. Scoring System Overview
  3. Daily Pulse Indicators (32 points total)
  4. Weekly Structure Indicators (68 points total)
  5. Market Heat Score — Comprehensive Rating
  6. Output Format
  7. Execution Steps
  8. Data Sources
  9. Important Reminders
  10. 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 GitHub

Skills 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

  1. #836 on Nov 2
  2. #842 on Nov 3
  3. #845 on Nov 4
  4. #846 on Nov 5
  5. #844 on Nov 6
  6. #851 since Nov 7
42 earlier periods
  1. #533 on Aug 2
  2. #525 on Aug 8
  3. #532 on Aug 9
  4. #554 on Aug 10
  5. #556 from Aug 11 to Aug 12
  6. #559 on Aug 13
  7. #540 on Aug 15
  8. #555 on Aug 16
  9. #561 on Aug 17
  10. #576 on Aug 18
  11. #581 on Aug 23
  12. #583 on Aug 24
  13. #571 on Aug 29
  14. #568 on Aug 30
  15. #597 on Sep 2
  16. #584 on Sep 5
  17. #594 on Sep 6
  18. #602 on Sep 7
  19. #610 on Sep 9
  20. #604 on Sep 12
  21. #606 on Sep 13
  22. #615 on Sep 19
  23. #645 on Sep 21
  24. #654 on Sep 28
  25. #691 on Sep 29
  26. #671 on Sep 30
  27. #662 on Oct 5
  28. #668 on Oct 6
  29. #675 on Oct 7
  30. #681 on Oct 10
  31. #674 on Oct 11
  32. #697 on Oct 13
  33. #703 on Oct 15
  34. #686 on Oct 18
  35. #731 on Oct 20
  36. #723 on Oct 23
  37. #811 on Oct 25
  38. #819 on Oct 28
  39. #822 on Oct 29
  40. #826 on Oct 30
  41. #831 on Oct 31
  42. #832 on Nov 1

Before you install

Network or broad shell

Automated 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:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
  • tech-earnings-deepdive/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
  • tech-earnings-deepdive/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
  • us-market-sentiment/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
  • us-value-investing/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
  • us-value-investing/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
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

Works with

Agent compatibility, from the files in this repository
AgentStatusEvidenceInstall to
Claude CodeCompatibleStandard SKILL.md btc-bottom-model/SKILL.md.claude/skills/<skill-name>/
CodexCompatibleStandard SKILL.md btc-bottom-model/SKILL.md.agents/skills/<skill-name>/
CursorCompatibleStandard SKILL.md btc-bottom-model/SKILL.md.cursor/skills/<skill-name>/
Gemini CLICompatibleStandard SKILL.md btc-bottom-model/SKILL.md.gemini/skills/<skill-name>/
GitHub CopilotCompatibleStandard SKILL.md btc-bottom-model/SKILL.md.github/skills/<skill-name>/
OpenCodeCompatibleStandard 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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