Agent skill

Factory Plan

by mastra-ai in mastra-ai/mastra

Produce a phased implementation plan for a Factory work item, then advance it to execute

Custom licenceAuto-check passedAgent Workflows

Install Factory Plan

skills CLI
$ npx skills add mastra-ai/mastra --skill factory-plan -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install mastra-ai/mastra factory-plan --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/mastra-ai/mastra.git skills-src && mkdir -p .claude/skills && cp -r skills-src/mastracode/factory/factory-skills/factory-plan .claude/skills/factory-plan && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
factory-plan
GitHub stars
29k
Token cost
~1.5k tokens
SKILL.md length
865 words
Files
1
Skills in repo
44
Repo updated
First seen
Licence
Custom licence

At a glance

Produce a phased implementation plan for a Factory work item, then advance it to execute

  • Works in 4 steps: Verify the Understanding → Design → Write the Plan → …
  • Tasks that involve Planning
  • SKILL.md covers Repository Guard, Phase 1: Verify the…, Phase 2: Design and Phase 3: Write the Plan, plus 2 more sections
  • Calls git and gh

What it does

Factory Plan is an agent skill from mastra-ai/mastra. Produce a phased implementation plan for a Factory work item, then advance it to execute

Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows, covering Planning. The repository describes itself as: Mastra is the modern TypeScript framework for AI-powered applications and agents.

When your agent uses it

  • Tasks that involve Planning

Example prompts

  • “/factory-plan”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Verify the Understanding
  2. Design
  3. Write the Plan
  4. Transition

What it can do on your machine

Read from SKILL.md and the folder at commit fecbeda. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • git
    • gh

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use git and gh, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Factory Plan loads about 1.5k tokens when it runs. Until then it costs about 25 tokens; SKILL.md has 865 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~25
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 865 words (~1,501 tokens).

“Produce a phased, verifiable implementation plan for this Factory work item, then advance it to the execute stage with the plan as the handoff.”

— opening of SKILL.md by mastra-ai, Custom licence
name
factory-plan

Read the full SKILL.md on GitHub

Files

Just SKILL.md in mastracode/factory/factory-skills/factory-plan of mastra-ai/mastra.

Open the folder on GitHubat commit fecbeda

Compare with similar skills

Factory Plan next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Factory Plan compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Factory Plan this skillmastra-ai/mastra29k—~1.5kAutomated safety check: PassCustom licence
Executing Plans Inlineobra/superpowers297k2 repos~5.1kAutomated safety check: PassMIT
Interview Meaddyosmani/agent-skills104k6 repos~3.8kAutomated safety check: PassMIT
OpenSpec Guided OnboardingFission-AI/OpenSpec72k1 repos~4.5kAutomated safety check: PassMIT
Writing Plansgeeksblabla/stateofdev.ma16357 repos~661Automated safety check: PassNone
Subagent Driven DevelopmentAsvarox/allkaraoke26137 repos~1.2kAutomated safety check: PassNone

Similar skills

  • Executing Plans Inline

    obra/superpowers

    Has the agent carry out an implementation plan itself, task by task in the current session, keeping a ledger, proving each step with a test and ending with one whole-branch review.

    297k GitHub starsUsed in 2 repos~5.1k tokens
    Agent WorkflowsAuto-check passed
  • Interview Me

    addyosmani/agent-skills

    Asks one question at a time, each with a best guess attached, until the agent is about 95 percent sure what you really want, before any plan, spec or code.

    104k GitHub starsUsed in 6 repos~3.8k tokens
    Agent WorkflowsAuto-check passed
  • OpenSpec Guided Onboarding

    Fission-AI/OpenSpec

    Walks you through a complete OpenSpec workflow cycle with narration while doing real work in your codebase.

    72k GitHub starsUsed in 1 repo~4.5k tokens
    Agent WorkflowsAuto-check passed
  • Writing Plans

    geeksblabla/stateofdev.ma

    A skill your agent uses when design is complete and you need detailed implementation tasks for engineers with zero codebase context - creates comprehensive implementation plans with exact file…

    163 GitHub starsUsed in 57 repos~661 tokens
    Agent WorkflowsAuto-check passed
  • Subagent Driven Development

    Asvarox/allkaraoke

    A skill your agent uses when executing implementation plans with independent tasks in the current session

    261 GitHub starsUsed in 37 repos~1.2k tokens
    Agent WorkflowsAuto-check passed
  • Planning With Files

    jd-opensource/JoySafeter

    Implements Manus-style file-based planning for complex tasks.

    314 GitHub starsUsed in 19 repos~1.8k tokens
    Agent WorkflowsAuto-check: notes

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Categories

Questions about Factory Plan

What does Factory Plan do?

Produce a phased implementation plan for a Factory work item, then advance it to execute. Factory Plan is an agent skill from mastra-ai/mastra.

When should I use Factory Plan?

Factory Plan fits situations like: tasks that involve Planning.

How do I install Factory Plan in Claude Code?

Run `npx skills add mastra-ai/mastra --skill factory-plan -a claude-code`. Or copy the skill folder (mastracode/factory/factory-skills/factory-plan in mastra-ai/mastra) into .claude/skills/factory-plan in your project. Claude Code loads it when a task matches its description.

How do I install Factory Plan in Codex?

Run `npx skills add mastra-ai/mastra --skill factory-plan -a codex`. Or copy the skill folder (mastracode/factory/factory-skills/factory-plan in mastra-ai/mastra) into .agents/skills/factory-plan in your project. Codex loads it when a task matches its description.

Can I use Factory Plan in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mastra-ai/mastra --skill factory-plan -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/factory-plan, .gemini/skills/factory-plan, .github/skills/factory-plan and .opencode/skills/factory-plan in your project.

What does Factory Plan need to run?

Going by SKILL.md and its folder, Factory Plan needs the command-line tools its instructions call (git and gh).

Does Factory Plan access the network?

SKILL.md contains no URLs. Its commands use git and gh, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Factory Plan safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Factory Plan use?

Factory Plan has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Factory Plan use?

About 1.5k tokens (SKILL.md is roughly 6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Factory Plan?

Skills that share tags, products or a category with Factory Plan: Executing Plans Inline (obra/superpowers, 297k stars), Interview Me (addyosmani/agent-skills, 104k stars), OpenSpec Guided Onboarding (Fission-AI/OpenSpec, 72k stars) and Writing Plans (geeksblabla/stateofdev.ma, 163 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Factory Plan?

mastra-ai (a GitHub organization) maintains it in mastra-ai/mastra, which has 28,674 GitHub stars. The repository holds 44 skills in this directory. The repository was last updated on October 10, 2026.

Source: mastra-ai/mastra on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.