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name: factory installer-group: factory description: >- Experimental workflow for configuring an autonomous software delivery factory. Use when choosing feedback sources, schedules, worktree behavior, autonomy gates, or host automations.

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

Skill	Scope
factory-collect	Collect and triage configured feedback, telemetry, errors, and issues.
factory-lookback	Find recurring signals and brittle paths that need systemic fixes.
factory-human-digest	Aggregate work that still needs a human decision.
factory-review-prs	Review a filtered PR queue.
factory-babysit-pr	Follow one explicitly authorized PR.
factory-ship	Publish and complete a delivery lifecycle.
factory-watchdog	Find stopped, authorized delivery work.
factory-recover	Resume 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.