本文へ移動
cccskills
無料GitHub で公開

factory

Experimental workflow for configuring an autonomous software delivery factory. Use when choosing feedback sources, schedules, worktree behavior, autonomy gates, or host automations.

インストール方法を見る

含まれるファイル(1)

  • SKILL.md3.9 KB

SKILL.md(原文)

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。

Factory

Start with the Factory guide for workflow setup and configuration.

Read .agent-factory/config.yaml and apply the optional skill_prompts.factory entry as additional project guidance. Configure the current project to turn selected product or maintenance signals into verified, reviewed changes. Factory coordinates the other modules; it does not assume a provider, repository, schedule, or autonomy level.

Set up

Use the Factory configuration reference for field meanings, examples, and host limitations.

  1. Read .agent-factory/config.yaml if it exists. Preserve explicit choices.
  2. Show the read-capable integrations this host exposes. There is no built-in Factory source catalog. Confirm the source scope; add a custom source only when a connected tool can read it.
  3. Set each action policy independently: implement, reply, close, review, approve, publish, merge, deploy, recover, and notify.
  4. Add optional per-skill prompts under skill_prompts when you want project-specific rules layered onto a module.
  5. Choose schedules, time zone, worktree ownership, runtime, and notifications only where the host supports them.
  6. Write the agreed config. Never put credentials or tokens in it.
  7. If asked to create automations, create one job per enabled workflow, then read back its saved schedule, target, runtime, and notification settings. Report fields the host could not honor.

A config entry or written prompt does not prove a job exists. Treat unavailable or partial reads as unknown, not empty or successful.

Safe defaults

  • Keep replies, issue closure, approvals, merges, production deploys, and recovery disabled unless their own policy is explicit.
  • For criteria-based actions, record both conditions that allow the action and conditions that require a human.
  • Missing or unclear policy means hold. Permission to fix does not authorize publication or another external action.

Modules

SkillScope
factory-collectCollect and triage configured feedback, telemetry, errors, and issues.
factory-lookbackFind recurring signals and brittle paths that need systemic fixes.
factory-human-digestAggregate work that still needs a human decision.
factory-review-prsReview a filtered PR queue.
factory-babysit-prFollow one explicitly authorized PR.
factory-shipPublish and complete a delivery lifecycle.
factory-watchdogFind stopped, authorized delivery work.
factory-recoverResume valid interrupted runs.

Modules can run independently. Each reads the same project config and must not borrow permissions from another workflow.

Prompt overlays

skill_prompts is an open map from a skill name to a multiline prompt. Each Factory module reads its matching entry, such as skill_prompts.factory-babysit-pr, and treats it as additional project guidance. Editing or removing that value replaces or removes the project overlay; it never replaces the installed skill instructions.

For scheduled runs, include the matching overlay in the saved automation prompt and verify the host retained it. A prompt cannot grant a permission, weaken repository or host safeguards, or override the user's current request. If it conflicts with those rules, follow the more restrictive requirement and surface the conflict.

Report

State which sources and host capabilities were verified, which policies and jobs were configured, what remains manual, and any unavailable evidence. Never claim that a schedule, integration, merge, or deployment exists without reading back its live state.

レビュー

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。

同じリポジトリのスキル

概要と使いどころ

Use in the BuilderIO/skills repo whenever adding, updating, publishing, documenting, validating, or wiring a public skill. Covers the repo-local skill files, root catalog docs, plugin metadata, @agent-native/skills dynamic install path, optional managed AGENTS/CLAUDE instruction blocks in ../agent-native/framework, and generated/synced Plan skill gotchas.

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。

BuilderIO/skills4,5582026年10月9日 更新

Use when asked to watch, babysit, audit, review, compare, or fix another agent's work from a Codex session ID, Claude Code session/transcript, chat/thread link, PR, branch, log, or pasted run summary. Monitor until the other agent is done or blocked, reconstruct what the user asked, independently investigate the same problem to form your own hypotheses and approach, inspect what the agent actually changed and verified, compare the two investigations, report gaps and add-on directions, and optionally make scoped fixes when the user authorizes repair.

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。

BuilderIO/skills4,5582026年10月9日 更新

an

無料

Open and operate Agent-Native workspace apps through Dispatch MCP, with inline app surfaces, browser-session authentication, and current screen state.

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。

BuilderIO/skills4,5582026年10月9日 更新

Use when running Claude Fable on codebase-heavy or token-heavy work and the user wants Fable to orchestrate research, coding, and testing while cheaper subagents do bounded heavy lifting.

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。

BuilderIO/skills4,5582026年10月9日 更新

Apply the same orchestration as `/efficient-fable` to any high-cost frontier model: delegate research, coding, and testing to cheaper subagents while keeping planning, synthesis, and final review with the expensive model.

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。

BuilderIO/skills4,5582026年10月9日 更新

Experimental workflow for babysitting one explicitly authorized pull or merge request. Use to monitor its live review state and checks, fix actionable in-scope findings, and apply separate reply, approval, merge, and soak gates.

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。

BuilderIO/skills4,5582026年10月9日 更新

BuilderIO のスキルをすべて見る

このスキルの問題を報告する