feat(pipeline): add POST /ingest-raw for direct batch ingestion without LLM

Allows callers to provide pre-structured RawPage data directly, bypassing the
LLM extraction step. The pipeline still handles slug computation, frontmatter,
link canonicalization, source back-references, and dedup — only the extraction
is skipped. Useful when a more capable model or manual curation produces the
structured data.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

internal/skills/brain/handlers.go

@@ -17,6 +17,8 @@ func (s *Skill) Handle(ctx context.Context, tool string, args json.RawMessage) (
 		return s.query(ctx, args)
 	case "brain_write":
 		return s.write(ctx, args)
+	case "brain_ingest_raw":
+		return s.ingestRaw(ctx, args)
 	case "brain_ingest":
 		return s.ingest(ctx, args)
 	case "brain_search":
@@ -98,6 +100,33 @@ func (s *Skill) ingest(ctx context.Context, args json.RawMessage) (json.RawMessa
 	return nil, fmt.Errorf("either content+source or path is required")
 }
 
+type ingestRawArgs struct {
+	Source string `json:"source"`
+	Pages  []any  `json:"pages"`
+	DryRun bool   `json:"dry_run,omitempty"`
+}
+
+func (s *Skill) ingestRaw(ctx context.Context, args json.RawMessage) (json.RawMessage, error) {
+	var a ingestRawArgs
+	if err := json.Unmarshal(args, &a); err != nil {
+		return nil, fmt.Errorf("parse args: %w", err)
+	}
+	if s.cfg.IngestSvcURL == "" {
+		return nil, fmt.Errorf("brain_ingest_raw: INGEST_SVC_URL not configured")
+	}
+	if a.Source == "" {
+		return nil, fmt.Errorf("source is required")
+	}
+	if len(a.Pages) == 0 {
+		return nil, fmt.Errorf("pages is required and must be non-empty")
+	}
+	return s.postTo(ctx, s.cfg.IngestSvcURL+"/ingest-raw", map[string]any{
+		"source":  a.Source,
+		"pages":   a.Pages,
+		"dry_run": a.DryRun,
+	})
+}
+
 type searchArgs struct {
 	Query      string `json:"query"`
 	Collection string `json:"collection,omitempty"`