// internal/skills/brain/skill.go package brain import ( "encoding/json" "github.com/mathiasbq/supervisor/internal/registry" ) // Config holds brain skill configuration. type Config struct { IngestBaseURL string // base URL of the ingestion HTTP server (brain_query, brain_write) IngestSvcURL string // base URL of the ingestion-svc HTTP server (brain_ingest) KBRetrievalURL string // base URL of the kb-retrieval server (brain_search) } // Skill implements registry.Skill for brain_query and brain_write. type Skill struct { cfg Config } // New constructs a brain Skill. func New(cfg Config) *Skill { return &Skill{cfg: cfg} } // Name returns the skill name used for routing. func (s *Skill) Name() string { return "brain" } // Tools returns the MCP tool definitions for brain_query and brain_write. func (s *Skill) Tools() []registry.ToolDef { schema := func(required []string, props map[string]any) json.RawMessage { b, _ := json.Marshal(map[string]any{"type": "object", "required": required, "properties": props}) return b } str := map[string]any{"type": "string"} num := map[string]any{"type": "integer"} tools := []registry.ToolDef{ { Name: "brain_query", Description: "BM25 full-text search across brain/knowledge/ and brain/wiki/ markdown files. Fast, no embeddings needed. Call before any significant task.", InputSchema: schema([]string{"query"}, map[string]any{ "query": str, "limit": num, }), }, { Name: "brain_write", Description: "Write a raw knowledge note to brain/knowledge/ for later ingestion.", InputSchema: schema([]string{"content"}, map[string]any{ "content": str, "type": str, "domain": str, "filename": str, }), }, } if s.cfg.IngestSvcURL != "" { tools = append(tools, registry.ToolDef{ Name: "brain_ingest", Description: "Ingest text content into the brain wiki (brain/wiki/). Calls an LLM to produce structured wiki pages. Use for substantial documents, articles, or knowledge worth structuring. Returns the list of wiki pages written.", InputSchema: schema([]string{}, map[string]any{ "content": str, "source": map[string]any{"type": "string", "description": "human-readable name for the content, e.g. 'article-on-raft.md'"}, "path": map[string]any{"type": "string", "description": "absolute path to a file or directory to ingest; if set, content and source are not needed"}, "dry_run": map[string]any{"type": "boolean"}, }), }) } if s.cfg.KBRetrievalURL != "" { tools = append(tools, registry.ToolDef{ Name: "brain_search", Description: "Semantic vector search across the brain wiki using embeddings. Use when brain_query returns no results or you need conceptually-related results rather than keyword matches.", InputSchema: schema([]string{"query"}, map[string]any{ "query": str, "collection": str, "limit": num, }), }) } return tools }