vp-k/app-sensing-codex-skiills/app-sensing-market-research

App Market Research

Use this skill to collect store evidence first and reason second.

Workflow

1. Run ./scripts/bootstrap_runtime.sh if dependencies are not installed.
2. Run node scripts/market_research.mjs config init once per workspace.
3. Run node scripts/market_research.mjs collect ... to create research_bundle.json.
4. Read `references/research-bundle.schema.json` and the generated bundle.
5. Write analysis_report.json and analysis_report.md yourself. Do not call an external LLM.
6. If the user wants delivery, run node scripts/market_research.mjs email --report-json ... or notify --report-json ....

Commands

• node scripts/market_research.mjs collect --seed "AI,PDF"
• node scripts/market_research.mjs collect --keyword "AI 가계부"
• node scripts/market_research.mjs collect --batch "AI 가계부,습관 추적기"
• node scripts/market_research.mjs config show
• node scripts/market_research.mjs email --report-json output/sensing/<run_id>/analysis_report.json
• node scripts/market_research.mjs notify --report-json output/sensing/<run_id>/analysis_report.json

Operating Rules

• Treat research_bundle.json as evidence, not the final answer.
• Use the bundle's top keywords, competitor data, and low-rating excerpts to write the report.
• Keep conclusions tied to explicit evidence in the bundle.
• Do not invent review or competitor data that is not present in the files.
• Use `references/automation.md` when the user wants recurring execution.

References

• `references/setup.md`
• `references/usage-recipes.md`
• `references/research-bundle.schema.json`
• `references/analysis-report.schema.json`
• `references/automation.md`