Use when manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
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Orchestrate any tdmcp test-coverage work: run the coverage harness, inspect coverage gaps, plan focused Vitest/msw or bridge tests, delegate coverage writers, verify coverage deltas, and re-run gates. Use whenever the user asks to raise coverage, add broad regression coverage, create a test harness, improve tests, re-run a coverage wave, or fix a coverage gate.
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설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Use this skill for coverage-improvement work in this repository. The goal is more tested behavior, not prettier percentages.
AGENTS.md, package.json, vitest.config.ts, and the nearest tests.npm run coverage:harness unless the user asked for a static-only pass._workspace/coverage/latest.md.src/**/*.ts; src/knowledge/data/** is
generated reference data and is intentionally excluded.Choose one to three independent gaps. Prefer seams where a test can lock a real contract:
isError
paths using msw.Skip generated data, docs-only files, and import-only tests.
For parallel work, spawn tdmcp-coverage-writer agents with one seam each. Give
each writer:
The lead is the single writer for shared config, package scripts, and harness docs. Do not let multiple agents edit the same test file.
Run narrow tests first. Then run:
npm run typecheck
npm run build
./node_modules/.bin/biome check .
npm run coverage:harness
npm run validate:recipes
npm run test:bridge
If a gate fails, fix forward. Do not lower coverage thresholds, delete assertions, or exclude executable code to pass.
Write _workspace/coverage/wave-<date>.md with:
_workspace/coverage/latest.md.src/cli/chat.ts; writer adds focused
CLI behavior tests; lead runs coverage and gates; report includes delta.아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.
아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.
Use when manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
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Use when a hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).
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Reference for how BDB structures autonomous software engineering work — the seven-node dispatcher graph (Architect, TechLead, UI/UX, Engineering, Media/EventTech, Reviewer, Shipping) that /startcycle-graph actually runs. Use when you need the high-level lifecycle framing without inventing your own process.
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Tools are how AI agents interact with the world. A well-designed tool is the difference between an agent that works and one that hallucinates, fails silently, or costs 10x more tokens than necessary. This skill covers tool design from schema to error handling.
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Harness patterns for coding agents — memory, permissions, context engineering, delegation, skills, hooks, bootstrap.
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agenttrail: live map of a multi-agent build in the browser: which plan component is being worked on, by which agent or harness, what is done and what is stuck. Use when a multi-agent pipeline starts (/startcycle, /startcycle-graph, /teamwork-preview) or after a plan-canvas approve, when the user asks to see what the agents are doing ("live map", "build board", "who is running now"), or by yourself whenever a multi-agent run is under way — no user prompt needed.
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