Process multiple source documents with Extract-Then-Aggregate discipline. Use when user shares multiple transcripts, emails, or documents for batch processing. See also: `capture-meeting` for a single meeting transcript; `file-document` for a single document; `summarize-doc` when you only need a summary.
Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.
Quelldateien prüfen
Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.
Mit Codex oder Claude installieren Kopieren Sie diesen Prompt, fügen Sie ihn in Codex, Claude oder einen anderen Assistant ein und lassen Sie die Skill-Seite prüfen und installieren.
Ein direkter Befehl überspringt den Prüf-Prompt. Prüfen Sie die Quelle, bevor Sie ihn ausführen.
Process multiple source documents with Extract-Then-Aggregate discipline. Use when user shares multiple transcripts, emails, or documents for batch processing. See also: `capture-meeting` for a single meeting transcript; `file-document` for a single document; `summarize-doc` when you only need a summary.
Ingest Sources
Process multiple source documents (transcripts, emails, documents) using Extract-Then-Aggregate discipline to ensure no entity with dedicated sources gets lost.
Trigger
"Process these transcripts"
"Here are my notes from [event]"
Multiple files shared in sequence
"Here's everything about [topic]"
Folder path provided with multiple files
/ingest-sources
Why This Skill Exists
When processing many sources, the failure mode is jumping to aggregation and missing entities that have dedicated sources but aren't prominent in high-traffic threads. A person with 2 transcripts dedicated to them can get lost if they're not mentioned often in emails.
The discipline: Inventory before processing, extraction before synthesis.
Input
User provides one of:
Folder path containing multiple files
List of file paths
Multiple documents pasted in sequence
Reference to previously shared content
The Five-Phase Workflow
Phase 1: Inventory
Before reading any content, create a manifest of all sources:
Show inventory to user before proceeding. This prevents partial processing.
Phase 2: File-Then-Extract (Per Document)
CRITICAL: For each document, file it BEFORE extracting. This ensures provenance.
For each source in inventory:
1. READ the full content
2. CALL `claudia memory document store --project-dir "$PWD"` immediately (do not skip!)
3. THEN extract entities/facts/commitments
Process each document systematically. Use IngestService (via local Ollama) when available, or extract directly.
The dedicated_to field is essential. If a source is primarily about a specific entity (not just mentioning them), mark it. This prevents the "missing entity" problem.
Phase 3: Consolidation
After all extractions complete, merge by entity:
Canonicalize names:
Check existing entity_aliases table for known aliases
Fuzzy match "Sarah" vs "Sarah Chen" vs "S. Chen"
Ask user to confirm ambiguous matches
Merge semantically identical facts:
"Sarah prefers Slack" + "Sarah likes async comms" → single fact about communication preference