capabilities
Skill2 starsChanged 3 months agoMITView on GitHub
The system's self-model — a capability registry (scans every SKILL.md into a layered tree SENSE→DECIDE→ACT→REMEMBER→GOVERN→DEPLOY) plus a "curator" that picks the right capabilities for a goal locally. Use to see the whole toolkit as a system/arborescence, to let an agent discover what botte-secrète can do, or as the data the Conductor reads to compose a plan.
4 other projects use a version of this, 1 of them edited.
Adopted by
Most recently taken up by
- jskswamy/skillstheir own version, first seen Nov 8, 2026
- zedarvates/frugal-skillsedited, first seen Nov 8, 2026
- Celorus/celorus-plugintheir own version, first seen Nov 6, 2026
- telefrek/vallorcinetheir own version, first seen May 10, 2026
Other versions4 projects use a version of this.
Word for word · 0
None found.
Edited · 1
- zedarvates/frugal-skills★ 142% same
Wrote their own version · 3
- jskswamy/skills★ 3same name
- Celorus/celorus-plugin★ 0same name
- telefrek/vallorcine★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository75 other files it gives its agents.
- AGENTS.mdAGENTS.md
- clean-cacheSkill
- agent-cacheSkill
- app_testSkill
- asset-qualitySkill
- auto_distillSkill
- auto-memorySkill
- auto_routerSkill
- benchSkill
- bootstrapSkill
- botte-proxySkill
- cacheSkill
- cardinalSkill
- cavemanSkill
- checkupSkill
- clarificationSkill
- clusterSkill
- code_fingerprintSkill
- completion_proofSkill
- conductorSkill
- context_budgetSkill
- context_profilerSkill
- context_slicerSkill
- context_windowsSkill
- control_loopSkill
- cost_estimatorSkill
- cwe_kbSkill
- dag_optimizerSkill
- dashboardSkill
- decision-ladderSkill
- demoSkill
- diff_languageSkill
- directives_auditSkill
- docgenSkill
- docs_stewardSkill
- eventsSkill
- fallow_likeSkill
- fast_contextSkill
- fixSkill
- harness_deltaSkill
- hermes-bridgeSkill
- hf_provenanceSkill
- infra_advisorSkill
- ingestSkill
- llm_backendsSkill
- llm_mcpSkill
- loaderSkill
- mcp_gatewaySkill
- meta_harnessSkill
- metricsSkill
- migration_auditSkill
- monte_cristoSkill
- mousquetairesSkill
- nlp_deterministicSkill
- nn_auditSkill
- prefix-prunerSkill
- prefix_treeSkill
- preflightSkill
- prompt_improverSkill
- reportSkill
- The first 60 shown.
The file
Files
capabilities — the system's map of itself (registry + curator)
Turns the 26 modules from a collection into a system: one self-describing tree the rest can reason over.
python -m skills.capabilities.cli map # ASCII layered system tree
python -m skills.capabilities.cli list --json # the registry
python -m skills.capabilities.cli curate "test my desktop app"Layers (the arborescence)
| Layer | Role |
| SENSE | understand project / cluster / task |
| DECIDE | route the work, cheapest capable |
| ACT | do the work, local-first |
| REMEMBER | capitalise (compounding) |
| GOVERN | consistency & cost control |
| DEPLOY | wire into projects & measure |
Each skill's layer comes from a layer: field in its SKILL.md frontmatter, else
a built-in map, else ACT. Generated snapshot: docs/system-map.txt.
The curator
curate(goal) ranks the capabilities most relevant to a goal (local lexical
match, 0 tokens) — the librarian that hands the Conductor (and you) the right
branches of the tree to use. Built on [[skill_finder]].
This registry is the foundation for the Conductor (goal → decision tree → ordered plan of capabilities, executed local-first) and the control loop (measure → adapt). Related: [[skill_finder]], [[auto_router]], [[bootstrap]].
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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.
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Now do this for your own.
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