MinimalShip
AGENTS.md0 starsChanged 24 days agoMITView on GitHub
MinimalShip is a product-development skill bundle. Build what matters. Ship what works. Improve what users need. Start from a real user problem, ship the smallest valuable solution, measure the outcome, and improve from evidence. Prefer simple, focused, maintainable solutions over speculative scope. Treat every feature, fix, refactor, configuration change, skill, and release as production work: Do not call work complete before verification. If a step is blocked, report the exact blocker and evidence. User-invoked skills are explicit orchestration commands and…
- Reads credentials
Where files are headingNew AGENTS.md files have more rules about keeping secrets out of the code, and fewer about code style.
Of the AGENTS.md files we read, the 31,439 first seen in the last six months, against the older ones: the kind of rule that gained most share, and the kind that lost most. About files like this in general, not this one, and an estimate, since a kind is a pattern in the words.
In this repository29 other files it gives its agents.
- CLAUDE.mdCLAUDE.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
Show its rules and text
We split this AGENTS.md into the rules it gives an agent
13 rules. About 0 are common, 10 are distinctive, and 3 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈10
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
- could be automatic: a setting could enforce it
- Distinctive: line 7
Start from a real user problem, ship the smallest valuable solution, measure the outcome, and improve from evidence.
- Distinctive: line 11
Treat every feature, fix, refactor, configuration change, skill, and release as production work:
- Very specific: line 15
Create a focused branch from the current integration branch using feat/, fix/, refactor/, chore/, or docs/ as appropriate.
- Distinctive: line 18
Add or update tests for changed behavior and important edge cases.
- Distinctive: line 19
Run relevant tests, lint, formatting, type checks, builds, security checks, and smoke checks.
- Distinctive: line 21
Create a concise Conventional Commit.
- Distinctive: line 23
Wait for required CI and review.
- Distinctive: line 25
Verify the merged result and relevant runtime behavior.
- Distinctive: line 28
Do not call work complete before verification.
- Very specific: line 34
Every promoted skill has SKILL.md, agents/openai.yaml, a handbook page, bucket index entry, root README entry, and plugin manifest entry.
- Distinctive: line 48
Never commit or push:
- Distinctive: line 55
Do not add copied source archives or byte-preservation indexes to the public package.
- Very specific: line 67
Do not push directly to main for normal work.
≈ “Common” is an estimate: at least 1 in 5 of the 40,246 AGENTS.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 Agent Rules
MinimalShip is a product-development skill bundle. Build what matters. Ship what works. Improve what users need.
Product standard
Start from a real user problem, ship the smallest valuable solution, measure the outcome, and improve from evidence. Prefer simple, focused, maintainable solutions over speculative scope.
Required delivery workflow
Treat every feature, fix, refactor, configuration change, skill, and release as production work:
- Clarify the requirement, constraints, acceptance criteria, and risks.
- Inspect the relevant code, tests, configuration, and history.
- Create a focused branch from the current integration branch using
feat/,fix/,refactor/,chore/, ordocs/as appropriate. - Plan non-trivial work before editing.
- Implement the smallest complete solution.
- Add or update tests for changed behavior and important edge cases.
- Run relevant tests, lint, formatting, type checks, builds, security checks, and smoke checks.
- Review the complete diff for correctness, scope, regressions, secrets, and unnecessary changes.
- Create a concise Conventional Commit.
- Push the branch and open or update a pull request.
- Wait for required CI and review; address failures and comments.
- Merge only after required checks pass and review is complete.
- Verify the merged result and relevant runtime behavior.
- Report changed files, validation evidence, commit or PR references, and remaining risks.
Do not call work complete before verification. If a step is blocked, report the exact blocker and evidence.
Bundle architecture
SKILL.mdis the root Pi workflow and keeps/skill:minimalshipstable.skills/engineeringandskills/productivitycontain promoted composable skills.- Every promoted skill has
SKILL.md,agents/openai.yaml, a handbook page, bucket index entry, root README entry, and plugin manifest entry. misc,in-progress, anddeprecatedare structural buckets and are not promoted.references/andtemplates/belong to the root workflow.handbook/is the public documentation tree becausedocs/is local-only in this repository..agents/contains authoring, invocation, release, and decision records.
Invocation rules
User-invoked skills are explicit orchestration commands and must set disable-model-invocation: true plus policy.allow_implicit_invocation: false in agents/openai.yaml. Model-invoked skills are reusable disciplines and omit both restrictions. Keep the two metadata surfaces synchronized.
Skills may point users to sibling skills, but operative dependencies must name the skill to call explicitly. Do not make one user-invoked skill silently invoke another.
Local-only material
Never commit or push:
docs/analysis/.local/- credentials,
.envfiles, private keys, or machine-specific configuration
Do not add copied source archives or byte-preservation indexes to the public package.
Scope and safety
Read this file before modifying the repository. Preserve behavior outside the requested scope, prefer reversible changes and explicit validation, and do not delete data or close resources without confirming the target and impact. Normal implementation, Git, PR, CI, and merge permission does not authorize exposing secrets or bypassing safety checks.
External effects
Pi and Herdr are optional runtime integrations. Choose one primary orchestrator when dispatching. Cloud dashboards, credentials, paid APIs, deployments, migrations, and destructive commands require explicit approval and truthful post-action verification.
Git and GitHub
Do not push directly to main for normal work. Use focused branches, Conventional Commit subjects, authenticated GitHub tooling such as gh, and reviewable pull requests. Never force-push, rewrite shared history, bypass checks, or merge unreviewed work without an explicit exception.
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.

