agent-skills-packaging
Skill2 starsChanged 33 days agoMITView on GitHub
Packages and reviews agent Skills (SKILL.md + capability.yaml) using Stars-derived packaging patterns
In this repository52 other files it gives its agents.
- AGENTS.mdAGENTS.md
- .cursor/rules/00-core-operating-model.mdcCursor rule
- .cursor/rules/01-plan-approval-gate.mdcCursor rule
- .cursor/rules/02-git-worktree-policy.mdcCursor rule
- .cursor/rules/03-validation-definition-of-done.mdcCursor rule
- .cursor/rules/04-documentation-memory.mdcCursor rule
- accessibility-reviewSkill
- autonomy-budgetSkill
- bounded-autonomySkill
- candidate-promotionSkill
- capability-planningSkill
- code-reviewerSkill
- code-structure-cleanupSkill
- compass-evaluatorSkill
- context-inodesSkill
- dependency-supply-chainSkill
- docker-cloudSkill
- embedding-providersSkill
- execution-telemetrySkill
- experience-routingSkill
- experience-skill-trainingSkill
- external-knowledge-ingestSkill
- github-integrationSkill
- goose-agent-orchestrationSkill
- harness-gcSkill
- hosted-vector-dbSkill
- implementation-planningSkill
- ios-engineeringSkill
- knowledge-stewardSkill
- linear-integrationSkill
- node-engineeringSkill
- northstar-connected-routineSkill
- notion-integrationSkill
- package-registry-tiSkill
- persistent-role-promotionSkill
- playwright-browser-validationSkill
- postgres-prismaSkill
- procedure-playbooksSkill
- project-overseerSkill
- pull-request-preparationSkill
- python-mlSkill
- react-engineeringSkill
- repository-discoverySkill
- review-fix-loopSkill
- security-audit-proceduresSkill
- security-reviewSkill
- skill-learning-loopSkill
- skill-lifecycleSkill
- source-code-contextSkill
- technology-intelligence-liveSkill
- testing-validationSkill
- worktree-orchestrationSkill
The file
We split this skill into the rules it gives an agent
7 rules. About 0 are common, 3 are distinctive, and 4 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
This author's own choices. Worth a look.
4
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 30
Use this Skill when / Inputs / Procedure / Output / Prohibited actions.
- Very specific: line 31
Ensure capability.yaml matches the slug, sets lifecycle_stage: AVAILABLE_SKILL (or proposal stage), and lists real capabilities_provided …
- Very specific: line 34
Verify M23 gates: security-review + dependency-supply-chain evidence paths exist.
- Very specific: line 37
Run ./scripts/compile-capability-registry.sh and ./scripts/doctor.sh.
- Distinctive: line 47
Do not clone or execute external starred repositories
- Very specific: line 48
Do not set approved_for_execution: true on TI candidates
- Distinctive: line 49
Do not install Skills without a Captain-reviewed PR
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill 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
Agent Skills Packaging
Use this Skill when
Authoring, reviewing, or promoting a NorthStar / Cursor Skill sidecar
(SKILL.md + capability.yaml), especially drafts from the Skills Learning
Loop.
Origin
- Starred discovery: anthropics/skills
- Candidate:
github-stars-anthropics-skills - Lifecycle:
AVAILABLE_SKILL(Captain-promoted Wave 1 / OVA-71) - Metadata/procedure only — do not clone or execute the starred repo
Inputs
- Draft Skill directory or Learning Loop skill-draft path
- TI scorecard evidence (security-review + dependency-supply-chain)
- Target slug and install path under
.cursor/skills/<slug>/
Procedure
- Confirm the draft has YAML frontmatter (
name,description) and sections: Use this Skill when / Inputs / Procedure / Output / Prohibited actions. - Ensure
capability.yamlmatches the slug, setslifecycle_stage: AVAILABLE_SKILL(or proposal stage), and lists realcapabilities_provided(not token-noise from repo names). - Verify M23 gates: security-review + dependency-supply-chain evidence paths
exist;
approved_for_executionstays false on TI candidates. - Register the slug in
orchestrator/registry/compiler.pySKILL_SLUGS. - Run
./scripts/compile-capability-registry.shand./scripts/doctor.sh. - Ship only via Captain-reviewed PR; never auto-install from Learning Loop.
Output
- Review notes or PR that installs
.cursor/skills/<slug>/ - Updated capability registry compile (no warnings for the new slug)
Prohibited actions
- Do not clone or execute external starred repositories
- Do not set
approved_for_execution: trueon TI candidates - Do not install Skills without a Captain-reviewed PR
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.

