---
name: study8677/knowledge-layer
source: https://app.decimal.ai/s/study8677-knowledge-layer@1/SKILL.md
source_sha256: c3f4dac7d78e
---

# 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.