opc-niche-positioning
opc-niche-positioning is a Positioning & messaging skill for AI agents, published by easychen in the opc-methodology repository on GitHub. Skillspace rates opc-niche-positioning C (74/100) and it passed the safety scan; a judge model has also reviewed it.
Find and position a viable niche market for a one-person company by combining market mapping and customer segmentation. Use when Codex needs to explain niche concepts when needed, check founder-resource prerequisites, ask one question at a time, generate multiple niche options, and write user-confirmed positioning outputs into `opc-doc/`.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 16,213
Placed #6 of 6 in the judged category final for Positioning & messaging.
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
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Portable: works in any project. Generic one-person-company niche-positioning methodology
Judge review
Placed #6 of 6 in the judged category final for Positioning & messaging.
- Trigger
68 68 - Instructions
90 90 - Specificity
92 92 - Safety
92 92 - Disclosure
65 65 - Maintenance
78 78
Rich three-ring framework with a real six-dimension scoring rubric and hard persistence gates, let down by a trigger description that reads as an internal step list.
Not checked yet
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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