Use when manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
日本語の概要は準備中です。原文の説明を表示しています。
Use when implementing, integrating, upgrading, debugging, or answering anything involving third-party APIs, libraries, frameworks, CLIs, cloud services, model or provider SDKs, fast-moving product behavior, unfamiliar repo docs or specs, errors that may indicate API drift, or high-stakes auth, security, billing, data, migration, deployment, compliance, or privacy behavior. Forces a docs pass before coding from memory.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Do not guess where authoritative docs can answer the question. The most common correct move is to search for the current official docs, open the relevant pages, and read them before writing code. For APIs, versions, provider behavior, config, limits, lifecycle hooks, or security-sensitive flows, ground the answer in what the docs actually say.
Division of labour with AGENTS.md. AGENTS.md's Zero guesswork rule
states the obligation and the trigger list. This skill is the procedure that
discharges it. If the two ever disagree, the rule in AGENTS.md wins and this
file is the thing that should change.
Adapted from BuilderIO/skills (MIT). Prose only — no upstream scripts, no agent config, no dependency.
Read docs before proceeding when any of these are true:
Use the most authoritative source available:
npm view <pkg> version, pnpm view <pkg> version, or
the ecosystem equivalent), then read the docs for that major version.Avoid Stack Overflow, old blog posts, random snippets, and memory as the primary source when official docs exist. Use community sources only to debug symptoms after the authoritative contract is known.
In this environment: the firecrawl skill (search, scrape) is the
installed tool for the web pass, and deja-memory / memb_mcp can surface
prior project knowledge. Neither substitutes for a docs read.
<product> <feature> official docs, <package> migration guide,
<provider> API reference.pull_request, workflow_run, OIDC, tokens, and artifacts.Do not search the web for every tiny edit. A docs pass can be local and brief when the answer is already in the repo: existing helper usage, nearby tests, typed interfaces, generated clients, ADRs, or package READMEs.
But if the task depends on an external tool, package, provider, or current product behaviour, a search is usually the right first step. For trivial language syntax, typo fixes, formatting, or self-contained code with no external contract, proceed normally.
If network access, auth, or missing local files prevents reading the docs, say that plainly before relying on memory. Narrow the uncertainty, inspect source or types if available, and do not present the result as confirmed-current. A clearly-labelled estimate is useful; an unlabelled one is a defect.
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Use when manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
日本語の概要は準備中です。原文の説明を表示しています。
Use when a hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
Harness patterns for coding agents — memory, permissions, context engineering, delegation, skills, hooks, bootstrap.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。