bizanalysis

Kit Preamble — bizanalysis

Kit Script Root

Kit root: ${CLAUDE_PLUGIN_ROOT}

• Absolute path above → plugin install (substituted at load time; no project scripts/ dir): prefix every kit script command with it, e.g. bash <kit-root>/scripts/checkpoint.sh …. Absolute paths also work from worktrees.
• Literal ${…} placeholder above → standalone layout: run commands as written.

Project Context Detection

Run these checks silently at the start. Use results to adapt behavior:

• [ -f issues.md ] — if true, this project uses the sprint system. Respect issue numbering and STATUS.md.
• [ -f docs/sprint_state.md ] — if true and Status shows running, a sprint is active. Be aware of parallel work in worktrees.
• [ -f docs/prd_digest.md ] — if true, read it for quick project context before starting.

Kit Rules

• Verify gh auth status before any GitHub operation. Steps:

1. Determine the output path ($ARGUMENTS or docs/business_analysis.md).
2. Check if the file already exists at that path.
3. Check if docs/brainstorm_notes.md exists. If it does, read it and use as context — problem space, target users, chosen direction.
4. Probe runtime (per SPEC-018 platform-first delegation): python3 scripts/has_skill.py deep-research. Branch:
   • Exit 0 OR 2 → primary path (steps 5–9 use /deep-research per dimension).
   • Exit 1 → degraded path (steps 5–9 use capture_source.py + validate_research_claim.py per source).

If the file does NOT exist (New Analysis):

5a) If brainstorm notes exist, summarize the idea from them. Otherwise, ask the user to describe their idea.

Primary path (runtime probe = 0 or 2): 6a-P) Market Analysis: invoke /deep-research with a refined question about market size, trends, and TAM/SAM/SOM for the specific segment. Emit telemetry event research_delegated_to_deep_research. 7a-P) Competitive Landscape: invoke /deep-research with a refined question about direct competitors, alternatives, and positioning differences. Emit research_delegated_to_deep_research. 8a-P) Business Model + Risks: invoke /deep-research with a refined question about prevailing revenue models in the segment and the key market / regulatory / competitive risks. Emit research_delegated_to_deep_research. 9a-P) Synthesize: pass the per-dimension /deep-research reports through python3 scripts/synthesize_from_deep_research.py --mode bizanalysis. The synthesizer maps cited claims into the kit's 5-section template, preserves [single-source] / [contested] flags verbatim from upstream, and renders empty sections as the literal line Data: not available — re-run /deep-research with a sharper question or accept "no data". 10a-P) Audit: invoke Task with subagent_type: synthesizer-auditor, inputs = (rendered draft, all /deep-research reports). Block save on claim_dropped / claim_distorted / evidence_distorted / scope_change findings until resolved.