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Agent skills

Factory Skills

Factory-AI/skills

Factory Skills contains reusable skill examples for Factory Droids. A skill packages instructions, context and tool-use expectations so an agent can perform a repeated class of work more consistently. The repository is most valuable as a study in procedural design.

THE PRACTICAL EXPLANATION

What this repository is

Factory Skills contains reusable skill examples for Factory Droids. A skill packages instructions, context and tool-use expectations so an agent can perform a repeated class of work more consistently. The repository is most valuable as a study in procedural design.

WHERE TO USE IT

The work it fits

Use it when creating repeatable software-development procedures, team conventions or agent instructions that should be reviewed and versioned like code.

WHO MAY USE IT

The people it suits

Engineering teams using Factory and anyone studying how to encode practical operating knowledge for agents.

HOW TO USE IT

A sensible adoption path

Read several skills to understand their structure, then copy only the nearest relevant example into a branch. Replace assumptions with your repository’s commands, quality rules and approval boundaries. Test the skill on known tasks and review its failures before team distribution.

  1. 01Choose an example close to a repeated team task.
  2. 02Adapt commands and standards to the repository.
  3. 03Test on completed historical tasks.
  4. 04Version and review the skill with the codebase.

GETTING THE BEST RESULTS

Use the repository with discipline

  • Write concrete procedures rather than motivational prompts.
  • Include validation and stopping conditions.
  • Maintain skills when tools or team standards change.

WHY IT MAY BE USEFUL

The shortest useful assessment

Example skills that package instructions and tools for Factory Droids.

Best considered for: Learning how repeatable agent skills are structured.

READ BEFORE YOU ADOPT IT

The practical caution

Examples require adaptation, testing and business-specific approval rules.

Confirm the current licence, maintenance status, dependency risk, data path, model access, tool permissions and human approval points at the source. A public repository is inspectable raw material—not proof that a system is secure, supported or suitable for your production environment.