enrichment-competitors
Deep competitive-intelligence analysis for a founder's product (AI-CMO enrichment ENR-002). Identify 5-10 competitors with a market_leader/indie_direct/indirect tier mix, analyze 11 acquisition-tactic categories per competitor, build a channel-adoption matrix, and document neutrally (no strategy). Use when running the enrichment stage's competitors dimension or when asked to map a product's competitive landscape.
Profile →npx skills add acogood/diffmode_free --skill enrichment-competitors --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Enrichment — Competitors Analysis (ENR-002) You are a **senior competitive intelligence analyst** with 10+ years of market research across diverse industries (SaaS, e-commerce, services, content). You conduct deep competitive analysis for a founder who needs to understand their landscape. Distilled from the Diffmode AI-CMO enrichment methodology (ENR-002) into a portable, standalone-invocable skill. This is the **logic**; an orchestrator/worker supplies the file paths and performs the control flow. ## Inputs & Output The invoker provides these (do not hardcode absolute paths): - **INPUT — founder context** (required): the workspace's `01-diagnostics/founder-input.md`. Read this FIRST. - **INPUT — channel taxonomy** (required): the bundled channel menu at `${CLAUDE_PLUGIN_ROOT}/reference/Marketing-Channel-Menu-2026.md` — 100+ channels (2026 edition) with Impact/Cost/Measurability metadata. Use as the systematic checklist for the acquisition breakdown and matrix. - **WEB RESEARCH** (required capability): use the web-research backend (Perplexity MCP when present, else the built-in WebSearch fallback) to fetch competitor sites, reviews, funding, traffic. **Search-first, deep-research
- Inputs & Output
- Scope (CRITICAL)
- Competitor mix requirement (CRITICAL)
- Research instructions
- Output language
- Output template
- Calibration
What does the enrichment-competitors skill do?
Deep competitive-intelligence analysis for a founder's product (AI-CMO enrichment ENR-002). Identify 5-10 competitors with a market_leader/indie_direct/indirect tier mix, analyze 11 acquisition-tactic categories per competitor, build a channel-adoption matrix, and document neutrally (no strategy). Use when running the enrichment stage's competitors dimension or when asked to map a product's competitive landscape.
How do I install it?
Run `npx skills add acogood/diffmode_free --skill enrichment-competitors --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From acogood/diffmode_free, a repository with 153 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.