obviously-awesome
obviously-awesome is a Positioning & messaging skill for AI agents, published by markmhendrickson in the neotoma repository on GitHub. Skillspace rates obviously-awesome C (77/100) and it passed the safety scan; the rating is based on static analysis only.
Product positioning framework based on April Dunford's "Obviously Awesome". Use when you need to: (1) define competitive alternatives your customers actually consider, (2) identify unique attributes that differentiate your product, (3) map attributes to customer value themes, (4) define best-fit target customers, (5) choose the right market category, (6) create a positioning canvas for team alignment, (7) run team positioning exercises and workshops.
- Grade
- C
- Quality
- 77 / 100
- Safety
- Passed
- GitHub stars
- 27
Unproven: rated by static analysis only, not yet compared head-to-head.
Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: it is a near-duplicate variant of another skill. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 94 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Category is a classifier prediction; no model has read this skill 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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