Competitor Research Workflow

Single authoritative reference. Re-read before every run. Pure-SERP approach: zero RAG, zero AppMate semantic search. The script holds all the data-layer logic; Claude does keyword tokenization and a single batched LLM relevance pass.

Step 0 — Prerequisites

Run before anything else:

python3 scripts/appmate_config.py check

If exit code ≠ 0, STOP. Tell the user AppMate credentials are not configured, show the precheck output verbatim, and direct them to the appmate-setup skill. Do not invoke any other step of this skill.

One-line summary

Single app → script writes phase_a (raw metadata + primary_genre_id) → LLM tokenizes keywords → script fetches iTunes Search top-200 per token, collects rivals outranking self, aggregates, scores, hard-filters by genre+density, writes phase_b → LLM does batched relevance pass on name + description[:200] → script writes final JSON, Claude renders the markdown in the user's conversation language, pastes back into conversation.

Difference from existing skills