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。
Experimental workflow for summarizing work that still needs human judgment across configured pull requests, issues, feedback, errors, and delivery signals. Use for a human decision queue or bounded review.
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。
Read .agent-factory/config.yaml and apply the optional
skill_prompts.factory-human-digest entry as additional project guidance.
Inspect only the repositories and sources it authorizes.
For a manual run with no narrower request or workflow settings, include all
configured source categories, use the last 7 days, and report at balanced
granularity. A user can narrow or expand the request in ordinary language, for
example, “PRs only, last 30 days, detailed” or “everything from this week, brief.”
Use configured repository and source boundaries even when the requested time
window or category changes. For scheduled runs, use
workflows.human-digest from the config.
Categories can include pull requests, issues, feedback, errors, telemetry, and stalled or failed delivery work. A category filter selects records to inspect; it does not expand access to another project or integration.
Read configured sources and repositories completely for the selected window. Follow pagination and record the actual dates, filters, counts, and any source that was unavailable or truncated. Include items held outside the normal agent-handled flows, such as:
Exclude work that has a verified terminal outcome unless it reopened, recurred, or received new information during the window. A label or agent summary alone does not prove an item is resolved. If the source cannot distinguish pending from resolved, report that uncertainty instead of guessing.
Group related items by the underlying user impact or failure pattern, not by similar words alone. For each group, preserve the date range, count of distinct records, source links, representative evidence, and the human decision needed. Separate event volume from affected people or sessions unless the source has a reliable identity definition. Keep unrelated reports separate even when one summary would be shorter.
Use the configured granularity, or balanced by default:
Start with coverage: window, categories, repositories, sources, filters, and pagination status. Then report recurring themes and the decision queue. For each entry include links, why the normal flow did not handle it, prior replies or dispositions, the decision required, and an owner or due date only when the source provides one.
This workflow is read-only. Do not reply, approve, merge, assign, close, change status, or notify people from the digest. Route any requested action through its owning Factory workflow and its separate configured policy. Missing or partial source data must remain visible in the report; it is never evidence of an empty queue.
.agent-factory/config.yaml. If it is missing, stop and
ask the user; never create it or guess sources.git push, gh pr merge,
gh release create and every external write (reply, comment, approval, close,
status change, notification) need the user's literal GO for that exact action.
Prepare the change or draft text, show it, and stop.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。