user-intent-patterns
user-intent-patterns is a Discovery & requirements clarification skill for AI agents, published by shynlee04 in the hivemind-plugin repository on GitHub. Skillspace rates user-intent-patterns D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Use when designing or evaluating how AI frameworks extract and clarify user intent, when choosing between interactive probing vs passive context absorption, when user requests are vague and you need a systematic approach to surface requirements, or when comparing GSD discuss-phase, BMAD context absorption, or Hivemind iterative probing patterns. Triggers on: "how to extract user intent", "interactive probing vs passive absorption", "when to ask questions vs infer from context", "framework intent patterns", "clarify intent systematically", "intent clarity to probing depth", "too many questions anti-pattern", "question fatigue", "progressive intent extraction". NOT for teaching specific delegation tools (that's subagent-delegation-patterns), NOT for session discovery or resumption (that's session-foundation).
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 51
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 84 / 100
- Maturity
- Structured: ships references or scripts
- 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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