# Capabilities

> 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.

- Skill: `zedarvates/capabilities` (Agent Skill, multi-file: 5 files)
- Install (CLI): `npx skillmds@latest add zedarvates/capabilities`
- Raw SKILL.md: https://api.skillmd.com/api/skills/zedarvates/capabilities/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: DevOps & Infra
- Author: zedarvates (https://skillmd.com/u/zedarvates)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/zedarvates/capabilities

---


# 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.

```bash
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`](../../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]].