enrichment-acquisition-tactics
enrichment-acquisition-tactics is a Growth strategy & launches skill for AI agents, published by acogood in the diffmode_free repository on GitHub. Skillspace rates enrichment-acquisition-tactics D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Comprehensive acquisition-tactics audit for a founder's industry (AI-CMO enrichment ENR-004). Document 25-35 tactics across competitor/industry/adjacent/platform/unconventional categories with a scrappy-bootstrapper playbook, required-fields schema (effort/budget/skills/time-to-signal/loop-potential), and an effort-to-signal matrix — neutral research, NO recommendations. Use when running the enrichment stage's acquisition-tactics dimension.
- Grade
- D
- Quality
- 66 / 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
- 97 / 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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