opc-mvp-designer
opc-mvp-designer is a Product strategy & roadmaps skill for AI agents, published by easychen in the opc-methodology repository on GitHub. Skillspace rates opc-mvp-designer C (74/100) and it passed the safety scan; a judge model has also reviewed it.
Define the smallest viable experiment and MVP for a selected one-person company opportunity. Use when Codex needs to explain what MVP means when needed, verify prerequisites, ask one question at a time, present multiple MVP options, and write user-confirmed outputs into `opc-doc/`.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 16,213
Placed #4 of 6 in the judged category final for Product strategy & roadmaps.
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. General MVP scoping methodology for solo founders
Judge review
Placed #4 of 6 in the judged category final for Product strategy & roadmaps.
- Trigger
70 70 - Instructions
90 90 - Specificity
85 85 - Safety
85 85 - Disclosure
75 75 - Maintenance
80 80
Sibling stage of the same pipeline with identical checkpoint discipline, scoped tightly to picking the smallest viable validation experiment.
Not checked yet
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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