prd-v10-continuous-discovery-torres
prd-v10-continuous-discovery-torres is a User interviews & surveys skill for AI agents, published by mattgierhart in the PRD-driven-context-engineering repository on GitHub. Skillspace rates prd-v10-continuous-discovery-torres F (51/100) and it passed the safety scan; the rating is based on static analysis only.
Establish weekly customer-discovery cadence and Opportunity Solution Tree practice using Teresa Torres's Continuous Discovery Habits framework during PRD v1.0 Market Adoption. Triggers on requests to set up discovery cadence, build opportunity solution tree, run weekly customer interviews, or when user asks "Torres", "continuous discovery", "opportunity solution tree", "outcomes vs outputs", "weekly interviews", "assumption mapping". Outputs CFD-* discovery entries and updates to ADO-STAGE-* and PER-* with new evidence.
- Grade
- F
- Quality
- 51 / 100
- Safety
- Passed
- GitHub stars
- 207
Unproven: rated by static analysis only, not yet compared head-to-head.
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Our review
- Architecture
- 69 / 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
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