knowledge-steward
Skill2 starsChanged 32 days agoMITView on GitHub
Ingests and queries the project knowledge store for planning context (explicit CLI)
- Reads credentials
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
- agent-skills-packagingSkill
- 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
- 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
3 rules. About 0 are common, 2 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈2
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 18
Search query for readback
- Very specific: line 50
When .agent/knowledge/vector-index.json exists, capability plans use hybrid search for Knowledge Context by default.
- Distinctive: line 78
Use the Knowledge Context section in capability plans as informational input only — it does not alter Skill rankings or matcher weights.
≈ “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
Knowledge Steward
Use this Skill when
The Captain or First Mate needs durable project knowledge surfaced during
planning — Experiences, evaluations, routing artifacts, execution runs, and
ADR headings from DECISIONS.md.
Inputs
- Explicit file paths or store roots (
experience,evaluations,routing,runs,decisions,procedures,notion,notebooklm) - Search query for readback
Procedure
Ingest (explicit CLI only — never auto-run on workstream close):
./scripts/ingest-knowledge.sh --from-store experience,evaluations,decisions ./scripts/ingest-knowledge.sh --paths tests/fixtures/experience/contact-counter.jsondecisionsauto-ingests ADR headings fromDECISIONS.md.For Captain-exported Notion / NotebookLM files, use Skill
external-knowledge-ingestor:./scripts/ingest-knowledge.sh --from-store notion,notebooklmQuery for planning context (read-only):
./scripts/query-knowledge.sh --query "evaluator routing" --kind decision ./scripts/query-knowledge.sh --query "matcher tuning" --kind performance --mode hybrid ./scripts/ingest-knowledge.sh --from-store runs,experienceExecution runs ingest as
kind: performancewithperformance_metrics(outcome, retries, skills, agents, models). Re-ingest overwrites existingknow-run-*/know-exp-*items idempotently.When
.agent/knowledge/vector-index.jsonexists, capability plans use hybrid search for Knowledge Context by default. Override withCOMPASS_KNOWLEDGE_SEARCH_MODE=keyword|vector|hybrid.Rebuild vector index (explicit CLI only):
./scripts/rebuild-knowledge-vector-index.sh ./scripts/ingest-knowledge.sh --from-store decisions --rebuild-vectorFor fixture dense embeddings (TF-IDF remains fallback), use Skill
embedding-providers:COMPASS_EMBEDDING_PROVIDER=fixture \ ./scripts/rebuild-knowledge-embedding-index.sh- Review matches under
.agent/knowledge/items/with provenance. Optionally propose a reusable procedure (staging + Captain PR only):
./scripts/propose-procedure-from-knowledge.sh \ --item-ids know-adr-020 \ --title "Bounded weight apply playbook"- Use the Knowledge Context section in capability plans as informational input only — it does not alter Skill rankings or matcher weights.
- Review Performance Context in capability plans (always rendered; empty
when no
kind: performanceitems match). - For procedure playbooks, use Skill
procedure-playbooksor--from-store proceduresafter staging/approved playbooks exist.
Output
- Knowledge items under
.agent/knowledge/items/ - Rebuilt
.agent/knowledge/index.json - Optional
.agent/knowledge/vector-index.jsonafter explicit rebuild - Optional
.agent/knowledge/embedding-index.jsonafter fixture embedding rebuild - Ingest audit under
.agent/knowledge/ingest-log/ - Optional procedure staging under
.agent/knowledge/procedures/staging/
Prohibited actions
- Auto-ingest on workstream close without explicit CLI
- Silent install of procedures into
.cursor/skills/or rules - Mutating matcher weights from query results
- Ingesting secret paths (
.env, credentials)
Does it work?
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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.

