yicunai/pnlclaw-community/indicator-guide
Claude Code and agent skill by yicunai/pnlclaw-community
- community
Checking that the SKILL.md file is still in the repository.
Explains common technical indicators (SMA, EMA, RSI, MACD) with quantitative intuition and example calculations
Install
npx vskill@latest install yicunai/pnlclaw-community/indicator-guideSKILL.md
Indicator Guide
Description
Explains common technical indicators (SMA, EMA, RSI, MACD) with quantitative intuition and example calculations.
Triggers
- "What is the difference between SMA and EMA?"
- "How do I interpret RSI and MACD together?"
Steps
- Ask which indicators and timeframe matter for the user's strategy style.
- Define each indicator: formula idea, smoothing behavior, and typical range.
- Give a small numeric toy example (e.g. five closes → SMA vs EMA weighting).
- Relate signals to strategy design (crossovers, divergence, overbought/oversold) without recommending specific trades.
Tools Used
market_kline: Optional OHLCV context when the user wants a concrete worked example on a symbol.
Example Interaction
User: Explain MACD in simple terms with numbers. Agent: MACD compares a fast and slow EMA of price, then smooths their difference (signal). For example, if fast EMA is 102 and slow EMA is 100, the MACD line is about +2; the signal line is an EMA of that series. Crossovers and histogram slope are common signal building blocks—always validate on your interval and costs.
Notes
- This skill is educational; quantitative examples should use hypothetical or cited bars, not investment advice.
Security
- Security scanPassed, 90 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/indicator-guide/SKILL.md
Popularity
- Repository stars
- 197
- Repository forks
- 31
- 7-day trend score
- 26
Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 24 Aug 2026, 2 months ago.
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