skillmd.
Methodologygeneric

crypto-ta-analyzer

Run multi-indicator technical analysis on crypto or market OHLCV data. Use for deterministic trend, momentum, volume, and divergence analysis.

dkyazzentwatwa/chatgpt-skills
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Install

npx skills add https://github.com/dkyazzentwatwa/chatgpt-skills --skill crypto-ta-analyzer

Use with your agent

ClaudeCursorOpenAIGemini

Install the crypto-ta-analyzer skill, then use it as build context. Run: npx skills add https://github.com/dkyazzentwatwa/chatgpt-skills --skill crypto-ta-analyzer. Then read the installed skill.md and follow its guidance to build or refactor my project.

Crypto TA Analyzer

Use the bundled indicators when the user needs explicit technical analysis rather than a narrative market opinion.

Workflow

  1. Get normalized OHLCV data first.
  2. Use scripts/data_converter.py or scripts/coingecko_converter.py when source formats need reshaping.
  3. Run scripts/ta_analyzer.py for the actual indicator stack and signal scoring.
  4. Explain indicator agreement, conflicts, and regime sensitivity instead of presenting one number without context.

Guardrails

  • Do not present signals as guaranteed outcomes.
  • Keep the distinction clear between deterministic indicator output and discretionary interpretation.