Use when manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when the user wants to capture a real repo's working patterns as a reusable skill — analyzes the local git log and diffs the agent runs itself and drafts a new SKILL.md describing the team's coding patterns, into a scratch/output path the user names. Never overwrites an existing skill.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
A skill written from memory of "best practices" is worth less than one written from what this repository actually does. The git history is the evidence: every convention the team follows shows up in the diffs as a pattern repeated across time. Analyze that history, find the patterns, and write them down as a SKILL.md draft the human can review.
Concept inspired by the instinct/skill-create ideas in affaan-m/ECC; no code copied.
Ask two questions if they are not already answered:
~/skill-drafts/<skill-name>/SKILL.md. Never write into an existing
skills directory as part of this run; installing a draft is the user's
separate, later decision. Path rules, all hard:
[a-z0-9]+(-[a-z0-9]+)* (lowercase letters,
digits, single hyphens). Refuse anything else.Run the git commands yourself. All of them are read-only analysis of this repository. Nothing in this step writes anywhere:
git log --oneline -100 — subject style, prefixes, scope conventions.git log --stat -30 — which files change together, where things live.git diff HEAD~30..HEAD --name-only — the churn map: hot directories are
where the real conventions live.git log -p --follow -30 -- <hot-file> — the actual code patterns handed
around in review.Stop if the repo has almost no history (under ~20 meaningful commits): a skill "learned" from three commits is guesswork wearing evidence's clothes. Say so and write nothing.
Every pattern you claim must cite its evidence: commit hashes and file counts. Evidence is hashes, counts and paraphrase — never quoted diffs or quoted code. Paraphrase the pattern in your own words; quoting a diff into the draft is how a pasted secret becomes published.
Never copy into the draft:
Bearer …, key=/token=/
password= fragments, anything sk-/ghp_/github_pat_/xox/AKIA-shaped.header.payload.signature)..env, credential, *.pem, *.key files — do not open them and do not
name their contents.git author is for counting patterns,
not for copying into the draft — attribute style as "the team's", not a
person's)./Users/<name>/…, /home/<name>/…) — rewrite as ~
or describe the location in words.Mark one-author patterns as one-author patterns; do not name the author.
Produce a SKILL.md that follows this repository's contract (see AGENTS.md):
frontmatter name (lowercase hyphenated, matches its directory), a folded
multi-line description that says what it does and when to invoke it, and
category from the allowed list. Body: the extracted patterns with their
evidence, at most ~80 lines. State source: community — this draft is
written here from this repo's history.
Final scan-and-redact step, before writing: pass over the whole draft and remove anything matching the never-copy list in section 3 — secret shapes, token fragments, e-mail addresses, author names, absolute home paths. If a pattern cannot be stated without quoting the secret, drop the pattern, not the redaction.
Verify before you claim done:
npm run validate (or the dispatcher's equivalent) if the draft is
written inside this repo's tree; otherwise tell the user to run validation
before installing it.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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when a hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Harness patterns for coding agents — memory, permissions, context engineering, delegation, skills, hooks, bootstrap.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.