discovery-interview-prep
discovery-interview-prep is a User interviews & surveys skill for AI agents, published by deanpeters in the Product-Manager-Skills repository on GitHub. Skillspace rates discovery-interview-prep D (65/100) and it passed the safety scan; a judge model has also reviewed it.
Plan customer discovery interviews with the right goal, segment, constraints, and method. Use when preparing interviews for problem validation, churn research, or new product ideas.
- Grade
- D
- Quality
- 65 / 100
- Safety
- Passed
- GitHub stars
- 6,940
Placed #1 of 6 in the judged category final for User interviews & surveys.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 95 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Judge review
Placed #1 of 6 in the judged category final for User interviews & surveys.
- Trigger
85 85 - Instructions
93 93 - Specificity
90 90 - Safety
90 90 - Disclosure
88 88 - Maintenance
55 55
Rigorously structured interview-prep flow with explicit anti-patterns and use/don't-use boundaries, cleanly delegating session mechanics to a shared facilitation protocol.
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- 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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