Traction scoreGitHub stars can be faked, so popularity alone can be misleading. Traction Score looks for broader signs of recent attention, adoption, and active maintenance.
This skill implements a composite Market Heat Score to evaluate Bitcoin's position within its broader cycle. By analyzing thirteen distinct indicators across daily pulse and weekly structure categories, it provides a structured framework for determining whether the market is overheated or bottoming.
It assists users in synthesizing complex metrics—including ETF flows, funding rates, and LTH-MVRV—into clear buy or sell recommendations based on weighted scoring.
Compatible AgentsThe repository documents support for these agents. The skills may also work with other agents that can load SKILL.md files, but they may need some setup or small changes.
Installs: Complete Day1Global-Skills bundle for one project, copied into that project's .claude/skills/ directory. · Claude Code
Run this complete terminal block. Replace every occurrence of the author-provided placeholder `your-project` with the path to the target project; keep the five skill-folder names unchanged.
# Clone the repo
git clone https://github.com/star23/Day1Global-Skills.git
# Copy all skills to your project's .claude/skills/ directory
mkdir -p your-project/.claude/skills
cp -r Day1Global-Skills/btc-bottom-model your-project/.claude/skills/
cp -r Day1Global-Skills/us-value-investing your-project/.claude/skills/
cp -r Day1Global-Skills/us-market-sentiment your-project/.claude/skills/
cp -r Day1Global-Skills/macro-liquidity your-project/.claude/skills/
cp -r Day1Global-Skills/tech-earnings-deepdive your-project/.claude/skills/
After copying the folders, restart Claude Code. Invoke the installed skills inside Claude Code using names such as `/btc-bottom-model` or `/us-value-investing`.
Manually copy the five documented skill folders—`btc-bottom-model`, `us-value-investing`, `us-market-sentiment`, `macro-liquidity`, and `tech-earnings-deepdive`—from the cloned repository into `~/.claude/skills/` for global access.
Restart Claude Code after copying. The skills can then be used as slash commands such as `/btc-bottom-model` and `/us-value-investing`.
Identify the key forces in a technology company's latest earnings
Uses tech-earnings-deepdive
A technology company name or ticker replacing [COMPANY OR TICKER]
Access to, or a supplied copy of, its latest earnings release, filing, or earnings-call transcript
Use the tech-earnings-deepdive skill to analyze [COMPANY OR TICKER]'s latest earnings report in Discovery Mode. Start with a concise first pass that identifies the 1–3 forces most likely to change the company's value over the next 3–5 years and explain the supporting earnings evidence. Do not perform the exhaustive deep dive yet. If the latest filing, earnings release, or call transcript is unavailable, ask me to provide it.
Access to current data for the five indicators, or user-supplied indicator values
Use the us-market-sentiment skill to assess current US stock-market sentiment using its five core indicators. Give a concise greed-or-fear assessment and the corresponding position recommendation. Look up the latest available indicator data; if that data cannot be accessed, tell me which values I need to provide.
Access to current Bitcoin market, ETF-flow, sentiment, and on-chain indicator data, or user-supplied values for the required indicators
Use the btc-bottom-model skill to assess Bitcoin's current cycle position with its 13-indicator weighted framework. Produce the 0–100 Market Heat Score and a concise buy-or-sell recommendation. Use the latest available data; if any required market, sentiment, or on-chain values are unavailable, identify the missing inputs instead of assuming them.
Claude
Hermes