enrichment-competitors
enrichment-competitors is a Competitive intelligence skill for AI agents, published by acogood in the diffmode_free repository on GitHub. Skillspace rates enrichment-competitors D (68/100) and it passed the safety scan; the rating is based on static analysis only.
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.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 160
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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