sprang-analyze

name	sprang-analyze
description	Analyze a codebase to produce a rich semantic knowledge graph — file summaries, architecture layers, guided tour, domain map, risk scores. Use when the user says "/sprang-analyze", "analyze the codebase", "full analysis", or "run sprang-analyze".
argument-hint	["[path] [--full] [--language <lang>] [--chunk <N>]"]

Analyze the codebase and produce .sprang/knowledge-graph.json with full semantic enrichment. You are the analysis engine — read every file, write rich summaries, detect architecture, score risk.

CRITICAL: Complete ALL 8 phases (Phase 0 through Phase 7) in one run. Stopping early leaves the Architecture, Domains, and Learn tabs empty. RESUME: If graph already exists at phase: complete, jump to Phase 4 to re-run enrichment only.

Follow the detailed instructions in .windsurf/workflows/sprang-analyze.md.

Key options:

• --full — force complete rebuild even if graph exists
• --language <lang> — output summaries in a specific language (ISO code: zh, ja, ko, es, fr, de, pt, ru)
• --chunk <N> — split output into chunks of N nodes

Phases (full details in .windsurf/workflows/sprang-analyze.md):

1. Pre-flight — resolve project root, .sprangignore, incremental vs full, collect README/manifest context
2. Scan — enumerate files, detect languages/frameworks, build import map → write scan-result.json
3. Analyze files — semantic batching (related files together), max 10 files/batch, max 800 lines/batch → write final-nodes-chunk-*.json, final-edges.json, assembled-graph.json
4. Architecture layers — assign every node to a layer → write final-layers.json directly (not layers.json)
5. Guided tour — 5-8 BFS-ordered steps → write final-tours.json as a Tour object array (not a flat step array — must have id, title, description, steps)
6. Domain mapping — cluster into business domains → write final-domains.json with domain/flow/step structure
7. Risk + smells → write risk-scores.json as {"<node-id>": {"risk_score": 0.0, "risk_factors": [], "structural_warnings": [], "decision_context": {...}}} — merge.py applies all fields to nodes
8. Assemble — prefer the CLI sprang merge "$PROJECT_ROOT" (normalises + validates, no Python needed); if sprang is not on PATH, fall back to PROJECT_ROOT="$PROJECT_ROOT" python3 .windsurf/skills/sprang-analyze/scripts/merge.py (or skills/sprang-analyze/scripts/merge.py). Then write SPRANG_REPORT.md.

⚠️ Both readers consume these exact filenames: final-nodes-chunk-*.json, final-edges.json, final-layers.json, final-tours.json, final-domains.json, risk-scores.json, assembled-graph.json. All must exist before assembling.

After completion: report files analyzed, nodes/edges, top risks, layers and domains found. Suggest /sprang-chat to ask questions, /sprang-onboard for guided tour, open dashboard with pnpm --filter @sprang/dashboard dev.