/knowledge-layer
High-level deployment wrapper over RepoBrain core with graph-first knowledge injection and all-file support. Exposes `refresh_filesystem` and `ask_filesystem` for building and querying the knowledge graph.
$ npx -y skills add study8677/repobrain --skill knowledge-layer --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/knowledge-layer
Context preview
The summary Claude sees to decide when to auto-load this skill.
High-level deployment wrapper over RepoBrain core with graph-first knowledge injection and all-file support. Exposes `refresh_filesystem` and `ask_filesystem` for building and querying the knowledge graph.
SKILL.md
knowledge-layer.SKILL.mdname: knowledge-layer description: High-level deployment wrapper over RepoBrain core with graph-first knowledge injection and all-file support. Exposes `refresh_filesystem` and `ask_filesystem` for building and querying the knowledge graph.
Knowledge Layer Skill
Purpose
Provide a high-level deployment wrapper over RepoBrain core, with graph-first knowledge injection and all-file support (code, docs, data, media metadata).
Inputs
- `refresh_filesystem(workspace=".", quick=False)`
- `ask_filesystem(question, workspace=".")`
Outputs
- Refresh writes graph-first artifacts under `.repobrain/`:
- `knowledge_graph.json`
- `knowledge_graph.md`
- `knowledge_graph.mmd`
- `document_index.md`
- `data_overview.md`
- `media_manifest.md`
- plus existing `conventions.md` and `structure.md`
- Ask returns a grounded answer with source paths.
Boundaries
- Skill is a wrapper layer only; no standalone runtime.
- Core Hub/Agent/Pipeline architecture remains the source of truth.
Compatibility
- Existing commands (`rb-refresh`, `rb-ask`, `rb-mcp`) remain valid.
- High-level aliases can be disabled with `RB_ENABLE_LAYER_ALIASES=0`.
Degrade Strategy
- If graph artifacts are unavailable, ask falls back to `structure.md` and
`conventions.md` context.
🧠 RepoBrain (formerly Antigravity) — Give your repo a brain. ChatGPT for your codebase: works in Claude Code, Cursor, Codex, Windsurf & more.
Other skills on repobrain.
- /agent-repo-init
Bootstraps a new multi-agent repository from the RepoBrain template via `init_agent_repo`. Supports quick scaffold and full runtime profile setup including MCP toggle, swarm preference, sandbox type, and optional git init. LLM configuration is handled later by rb-setup.
Open skill - /graph-retrieval
Exposes graph-based retrieval as a tool capability via `query_graph`. Reads normalized graph store files, builds a query-relevant subgraph, and returns LLM-friendly semantic triples with replayable evidence metadata.
Open skill - /research
Performs deep research on a topic via `deep_research`. Simulates a multi-step research process and returns a comprehensive research result as a string.
Open skill - /agent-repo-init
One-click initialization of a multi-agent repository from the RepoBrain template. Use this skill when users want to scaffold a new project quickly (`quick` mode) or with runtime defaults (`full` mode) including MCP toggle, swarm preference context, sandbox type, and optional git
Open skill

