From file to useful result
How to ask with this skill installed
Installing the skill gives your AI a method. Your request still has to provide the case-specific facts, constraints and expected output.
1Name the real task
Describe the decision or deliverable, not just the topic.
2Provide the evidence
Add source material, audience, limits and known facts.
3Define done
Set format, quality criteria and checks.
Adaptable starting prompt
Replace the brackets with your case
When to use it
- After a trade has been closed and you want to record the outcome
- When reviewing a batch of signals that have reached their holding period (5 or 20 days)
- To identify systematic false positive patterns from specific skills
- To generate feedback for edge-signal-aggregator weight calibration
- When building a skill improvement backlog from decision quality metrics
- For periodic (weekly/monthly) signal quality audits
What you need first
- Python 3.9+
- FMP API key (optional, for fetching realized returns if not provided manually)
- Standard library +
requestsfor API calls - Input: signal records in JSON format (from edge-signal-aggregator or screener outputs)
API Key Setup (Optional)
If you want to automatically fetch price data for return calculations, set up the FMP API key:
export FMP_API_KEY=your_api_key_here
Alternatively, pass the key via command line with --api-key YOUR_KEY. Without an API key, you can still record outcomes manually by providing --exit-price and --exit-date.