Individual skill
api-data-extraction
Produces an API data extraction design covering authentication approach, pagination strategy, rate limit handling, response parsing specification, and error handling protocol. Describes the extraction logic without writing executable code. Use when the user asks to plan data extraction from an API, design an API integration for analytics, or document how to pull data from a third-party service into a data warehouse. Do NOT use for building application-level API clients (that is software engineering), designing the full ETL pipeline (use etl-pipeline-design), or setting up API endpoints (use api-design in software development).
src/process/resources/skills-library/bodies/skills/data-analysis/api-data-extraction/SKILL.md
Source commit 4c030c7b01c241df7b6e3535635a970f10d781af
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- Yes
- Observed behavior
- Instructions only
- Last checked
- Nov 10, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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Repository context
- Repository stars (not skill ratings)
- 619
- Repository last updated
- Oct 31, 2026
- License
- AGPL-3.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
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- data-science-analysis-planning Declared skill tag
- engineering Derived category
- data Derived category
- design Derived category
- writing Derived category
- security Derived category
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