implement

Summary

This skill directs an AI agent to implement features or fixes based on specifications or issue tickets. It guides the agent to fetch tickets from an issue tracker, apply test-driven development practices where appropriate, run typechecking and test suites, and then invoke code-review and commit the work. The skill is lightweight and relies on downstream skills (tdd, code-review) for actual implementation logic.

Detected Capabilities

Trigger Keywords

Phrases that agents use to match this skill to user intent.

Use Cases

• Implement features from GitHub issues or Jira tickets
• Apply test-driven development to new feature work
• Run validation checks (typechecking, tests) during implementation
• Commit completed work after automated code review
• Guide multi-step implementation workflows with skill composition

Quality Notes

• Skill is concise but lacks implementation detail — it relies entirely on downstream skills (tdd, code-review) without documenting what those skills do or what contracts they must satisfy
• No error handling documented — what happens if ticket fetch fails, typechecking fails, or tests fail? Should the agent halt or continue?
• Scope is unclear — skill says 'call Skill tool with tdd at pre-agreed seams' but does not define what 'pre-agreed' means or how an agent discovers those seams
• No guidance on handling ambiguous ticket references beyond 'ask' — does not explain how to format the question or what disambiguation criteria to use
• No documentation of which issue trackers are supported (GitHub Issues, Jira, etc.) or how to pass ticket references
• Incomplete workflow — commits work but does not describe branch strategy, commit message format, or post-commit actions (push, PR creation, etc.)
• References 'tdd' and 'code-review' skills but does not validate their existence or provide fallback behavior if they are unavailable