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Deep competitive intelligence for any market. Analyzes competitors' products, pricing, customer sentiment, GTM strategy, and growth signals using real web data. Produces battle cards, pricing landscape, and feature matrix.
Passed 11 of 22 test cases with the skill, and 6 of 22 without it.
and 7 more in the full report
8 fixed4 passed either way9 still failing2 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 8 test cases the skill fixed. Same model, same prompt, with and without the skill.
El usuario solicitó un análisis competitivo en español para una plataforma de comercio electrónico. ¿En qué idioma se deben generar las respuestas y los informes de entrega?
| Checked | Without skill | With skill |
|---|---|---|
| Generates all response text and deliverable reports in Spanish. | Passed | Passed |
| Maintains the standard multi-phase workflow regardless of output language. | Missed | Passed |
The instructions your model reads when the skill loads.
Deep competitive intelligence that goes beyond surface-level profiles. Produces actionable battle cards, pricing landscape analysis, and strategic vulnerability mapping using real web data.
INTAKE → RESEARCH (3 sequential waves) → SYNTHESIS → BATTLE CARDS
The process is focused: understand the product, research competitors deeply across 3 dimensions, synthesize findings, and produce actionable output. Typical runtime: 15-25 minutes in Claude Code (parallel agents), 30-45 minutes in Claude.ai (sequential).
Default output language is English. If the user writes in another language or explicitly requests one, use that language for all outputs instead.
Before anything else, check if a PROGRESS.md created by this skill exists in the working directory or a project subdirectory (the skill name field says startup-competitors). If it does, read it and resume from the last incomplete phase. Tell the user: "I found progress from a previous session. You completed [phases]. Picking up from [next phase]."
If no progress file exists — or the one found belongs to a different skill — start from Phase 1.
Short and focused — 1-2 rounds of questions, not an extended interview. The goal is just enough context to run targeted research.
Before asking questions, check if a startup-design session has already been completed for this project. Look for these files in the working directory or subdirectories:
01-discovery/competitor-landscape.md — competitor profiles and analysis01-discovery/market-analysis.md — market size, trends, regulatory01-discovery/target-audience.md — customer personas, pain points00-intake/brief.md — product description and contextIf these files exist, read them and use the data as a head start:
test cases passed, vs 6 / 22 without
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