Design tools, scripts, and CLIs that an agent will call, so the interface teaches its own use instead of a wall of prose and examples. Use when building an MCP server or tool definition, writing an agent-facing script, or when an agent keeps misusing a tool it already has.
After a working session, produce a report on what changed plus a quiz the user must pass before merging. Use when the user asks "what did we actually do," wants to review a large change, or invokes a quiz before merge.
Audit the instructions an agent already carries — CLAUDE.md, AGENTS.md, skills, tool descriptions — for contradictions, over-constraint, and duplication, then propose a cut list. Use when an agent ignores its own instructions, when a CLAUDE.md has grown bloated, or when the user asks to audit or rightsize their agent…
Use when writing or tuning ElevenLabs speech so it sounds alive, paced, and human; covers text shaping for Eleven Multilingual v2 and Eleven v3, plus API-based voice-setting updates from user feedback.
Evaluate and address a GitHub pull request review locally. Use when a PR review contains inline comments, suggestions, or requested changes that need to be implemented in the local workspace. Covers fetching review threads, triaging by severity, applying code fixes, running tests, and optionally replying to or…
Fix Codecov patch coverage gaps reported on a pull request. Use when Codecov bot flags missing or partial lines in a PR comment, when patch coverage is below the project threshold (≥87.55%), or when coverage regresses after new code is merged. Covers reading the Codecov report, identifying uncovered lines per file…
Combined PR quality workflow: address inline review comments AND fix Codecov patch coverage gaps in one end-to-end cycle. Use when a PR has both review feedback and coverage regression, or when you want a single checklist that covers triage, code fixes, test additions, verification, and push-gate validation before…
Use when creative or marketing work risks premature convergence on the first plausible AI output, especially when benchmarks are present and must inform structure without causing imitation.