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AI EngineeringShell

Factory Tuning

by addyosmani

Factory Tuning is an AI Engineering skill for Claude Code, published by addyosmani in factory.

174 stars13 forkson addyosmani/factoryAdded 2026/09/07+1% in starsRepository updated 2026/08/21
agentic-engineeringclaude-codecodexsoftware-factory
Install in seconds
Install Factory Tuning
Copy Factory Tuning into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/addyosmani/factory/tree/main/template/.agents/skills/factory-tune ~/.claude/skills/factory-tune

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/addyosmani/factory.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
template/.agents/skills/factory-tune/SKILL.md in addyosmani/factory
Installs to
~/.claude/skills/factory-tune
Collection
One of 12 skills cataloged from this repository
Category
AI Engineering3475 skills

What Factory Tuning does

Factory Tuning reviews factory evidence and suggests tighter or looser constraints without changing the charter. Use it for periodic constraint reviews and to record accepted human decisions.

Factory Tuning is cataloged under AI Engineering on DirSkills. Factory Tuning comes from a repository tagged agentic-engineering, claude-code, codex and software-factory.

Documentation

README

Factory tuning for Codex

Read docs/factory/CONTRACT.md, then follow .claude/commands/factory-tune.md. Propose changes and record accepted human decisions in docs/factory/DECISIONS.md; never edit the charter or gate requirements on your own initiative.

Frequently asked about Factory Tuning

  • What else does addyosmani publish alongside Factory Tuning?

    Factory Tuning is one of 12 skills that DirSkills catalogs from addyosmani/factory, the repository it ships in. Its siblings there include Factory Implement, Factory Implementation and Factory Monitor. Each one is a separate skill with its own page in this directory, installs the same way Factory Tuning does, and is maintained by addyosmani in that same repository. The rest of the collection is listed on the addyosmani/factory page.

  • How does Factory Tuning compare to other AI Engineering skills?

    Factory Tuning ranks #3219 by stars among the 3475 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Factory Tuning against them. Open each page to compare what they document and how they install.

More from addyosmani/factory

Factory Tuning is one of 12 skills cataloged on DirSkills from addyosmani/factory.

See all 12 skills
🏭
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Factory Implement

Factory Implement claims one ready GitHub issue, applies fail-closed gates, and uses an independent verifier before opening a draft pull request. Use it when you want a controlled issue-to-PR workflow with fresh verification context.
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Factory Implementation

Factory Implementation claims one ready GitHub queue item, implements it end to end, runs gates and independent verification, then opens a draft PR. Use it for a single ready-to-implement issue or the implementation routine.
DevOps
17413
🏭
2h ago

Factory Monitor

Factory Monitor inspects factory health, stale work, CI, security advisories, and recent run evidence without implementing fixes. Use it to review system status and write a unique run record.
DevOps
17413
🏭
2h ago

Factory Monitor

Factory Monitor runs scheduled checks for CI failures, gate health, dependency advisories, queue staleness, and documentation drift. Use it for nightly or weekly monitoring that files issues and writes a run record.
DevOps
17413
🏭
2h ago

Factory Spec

Factory Spec turns an ambiguous factory issue into human-approved product, behavior, design, and implementation slices. Use it interactively before implementation and keep approval gates in the loop.
AI Engineering
17413
🧭
2h ago

Factory Spec

Factory Spec turns a ready-to-spec queue item into an approved plan through four human review gates. Use it when scope must be decided before code exists, such as for a feature, migration, or other interactive planning task.
AI Engineering
17413