// High-level deployment wrapper over Antigravity core with graph-first knowledge injection and all-file support. Exposes `refresh_filesystem` and `ask_filesystem` for building and querying the knowledge graph.
| name | knowledge-layer |
| description | High-level deployment wrapper over Antigravity core with graph-first knowledge injection and all-file support. Exposes `refresh_filesystem` and `ask_filesystem` for building and querying the knowledge graph. |
Provide a high-level deployment wrapper over Antigravity core, with graph-first knowledge injection and all-file support (code, docs, data, media metadata).
refresh_filesystem(workspace=".", quick=False)ask_filesystem(question, workspace=".").antigravity/:
knowledge_graph.jsonknowledge_graph.mdknowledge_graph.mmddocument_index.mddata_overview.mdmedia_manifest.mdconventions.md and structure.mdag-refresh, ag-ask, ag-mcp) remain valid.AG_ENABLE_LAYER_ALIASES=0.structure.md and
conventions.md context.Bootstraps a new multi-agent repository from the Antigravity 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 ag-setup.
One-click initialization of a multi-agent repository from the Antigravity 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 init. LLM configuration is handled later by ag-setup.
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.
Performs deep research on a topic via `deep_research`. Simulates a multi-step research process and returns a comprehensive research result as a string.