MinimalShip
CLAUDE.md0 starsChanged 24 days agoMITView on GitHub
This repository is a composable product-development skill bundle. Read AGENTS.md before changing it. Every promoted skill under skills/engineering/ or skills/productivity/ must have: The scripts/check.py checker is the source of truth for this contract. Run it after adding, removing, renaming, or changing a promoted skill. User-invoked skills are explicit commands such as routers, setup, interviewing, planning, and implementation. Model-invoked skills are reusable disciplines such as testing, diagnosis, design, review, and research. Do not make a user-invoked skill depend on another user-invoked…
In this repository29 other files it gives its agents.
- AGENTS.mdAGENTS.md
- minimalshipSkill
- ask-minimalshipSkill
- codebase-designSkill
- code-reviewSkill
- diagnosing-bugsSkill
- domain-modelingSkill
- grill-with-docsSkill
- implementSkill
- implement-specSkill
- improve-codebase-architectureSkill
- prototypeSkill
- prSkill
- researchSkill
- retroSkill
- setup-minimalshipSkill
- tddSkill
- to-specSkill
- to-ticketsSkill
- triageSkill
- wayfinderSkill
- wizardSkill
- grillingSkill
- grill-meSkill
- handoffSkill
- teachSkill
- to-questionnaireSkill
- wait-whatSkill
- writing-for-agentsSkill
The file
We split this CLAUDE.md into the rules it gives an agent
3 rules. About 0 are common, 0 are distinctive, and 3 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈0
Distinctive · estimate
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 7
Every promoted skill under skills/engineering/ or skills/productivity/ must have:
- Very specific: line 32
Keep package.json and .claude-plugin/plugin.json versions synchronized.
- Very specific: line 40
Use scripts/install.py for Pi installation.
≈ “Common” is an estimate: at least 1 in 5 of the 26,980 CLAUDE.md files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
MinimalShip repository conventions
This repository is a composable product-development skill bundle. Read AGENTS.md before changing it.
Promotion contract
Every promoted skill under skills/engineering/ or skills/productivity/ must have:
SKILL.mdwithnameanddescriptionfrontmatteragents/openai.yamlwith display metadata- matching invocation policy in both files
- a page under
handbook/<bucket>/<name>.md - an entry in the bucket README and root README
- an entry in
.claude-plugin/plugin.json
The scripts/check.py checker is the source of truth for this contract. Run it after adding, removing, renaming, or changing a promoted skill.
Invocation
User-invoked skills are explicit commands such as routers, setup, interviewing, planning, and implementation. Model-invoked skills are reusable disciplines such as testing, diagnosis, design, review, and research. Do not make a user-invoked skill depend on another user-invoked skill.
Public content
Write public guidance in original English. Keep product-development scope only. Preserve useful ideas from the supplied MinimalShip v0.3 bundle, including Quick/Deep grilling, output contracts, performance criteria, anti-overengineering boundaries, and truthful status reporting. Do not copy third-party prose or publish the raw sources used for research.
Documentation boundary
docs/, analysis/, and .local/ are private working areas and ignored by Git. Use handbook/ for public human-facing pages. Do not weaken the ignore rule merely to add repository docs.
Release and validation
Keep package.json and .claude-plugin/plugin.json versions synchronized. Run:
python scripts/check.py
bash scripts/list-skills.sh
node scripts/sync-plugin-version.mjs --checkUse scripts/install.py for Pi installation. It must not run downloads, hooks, or arbitrary project code.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

