offer-definer
offer-definer is a Positioning & messaging skill for AI agents, published by Othmane-Khadri in the YALC-the-GTM-operating-system repository on GitHub. Skillspace rates offer-definer D (59/100) and it passed the safety scan; the rating is based on static analysis only.
Transform product descriptions and feature lists into compelling, outcome-focused offers for cold outreach. Use when asked "how to frame my offer", "what should I say in cold emails", "how to pitch my product", "make my offer clearer", "value proposition for outreach", "how do I explain what we do", "turn features into benefits", or "write a one-liner for my product". Use after ICP and persona are defined, before writing outreach copy.
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 259
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
- 84 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- 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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.