enrichment-audience

enrichment-audience is a Positioning & messaging skill for AI agents, published by acogood in the diffmode_free repository on GitHub. Skillspace rates enrichment-audience D (68/100) and it passed the safety scan; the rating is based on static analysis only.

Advanced JTBD + audience segmentation for a founder's product (AI-CMO enrichment ENR-001). Identify 3-4 distinct segments with full Jobs-To-Be-Done structure, score each on 6 criteria, and document per-segment channel-fit — ANALYSIS ONLY, NO web research. Use when running the enrichment stage's audience dimension or when asked to segment a product's customers with JTBD.

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.

View source on GitHubacogood/diffmode_free

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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