ma3u

Use when the user adds or modifies a Next.js API route under ui/src/app/api/.

Use when the user works on EHDS articles, DSP protocol, DCP credentials, ODRL policies, or the audit trail.

Use when the user works on the force-directed graph explorer, layer colours, persona views, or node filtering.

Use when the user works on authentication, Keycloak configuration, OIDC, roles, or JWT claims.

Use when the user adds nodes, relationships, constraints, or indexes to the Neo4j knowledge graph, or edits any *.cypher file.

Use when the user adds E2E tests, Playwright specs, or journey coverage.

Use when the user works on demo personas, localStorage persistence, or GitHub Pages static-export behaviour.

Use when working with official Bundestag data in graph-protokoll: parsing plenary-protocol XML (dbtplenarprotokoll DTD), Saalreaktionen from <kommentar>, fetching/resolving sessions (Open Data, DIP-API, Mediathek/YouTube), the dashboard/accessible outputs, or the protocol↔video gap analysis (WER). Trigger on ingest_bundestag.py, bundestag_xml.py, dashboard.py, accessible.py, gap_analysis.py, scripts/fetch-session.sh, *.xml tasks.

Use when working on the audio→text front of graph-protokoll: speech recognition (ASR), speaker diarization, word/speaker alignment, sound-event detection (Beifall/Buhrufe/Lachen), or subtitle/VTT ingestion. Trigger on tasks touching pipeline/asr.py, diarize.py, align.py, sound_events.py, subtitles.py, faster-whisper, pyannote, WhisperX, PANNs, or `--audio` runs.

Use when working on claim verification in graph-protokoll: detecting checkable statements, assigning verdicts (bestätigt/teilweise/irreführend/falsch/unbelegt), attaching sources, the evidence corpus, or the "every fact-check has a source" invariant. Trigger on pipeline/factcheck.py, data/evidence/evidenz.json, Aussage/Verdikt/Quelle/Evidenz tasks.

Use when answering natural-language questions over the protocol graph in graph-protokoll: the offline intent-router (pipeline/graphrag.py), the Neo4j Text2Cypher path (pipeline/neo4j_graphrag.py), the NEO4J_SCHEMA / few-shot examples, multi-hop traversals, or query-with-provenance work. Trigger on GraphRAG/Cypher/Text2Cypher/"ask the graph" tasks.

Use when extracting structure from a meeting or building/exporting the protocol knowledge graph in graph-protokoll: turning Utterances into a Protocol, building the SPARK-format graph, the 5-layer ontology (normativ/zeitlich/prozedural/fallbezug/provenienz), provenance edges, and JSON/CSV/Cypher/Neo4j export. Trigger on pipeline/extract.py, graph_build.py, export.py, neo4j_loader.py, node/relationship/ontology/Cypher work.