prompt-optimizer
prompt-optimizer is a Prompt design & optimisation skill for AI agents, published by smallnest in the goskills repository on GitHub. Skillspace rates prompt-optimizer D (68/100) and it was flagged as a test fixture; the rating is based on static analysis only.
Flagged as a test fixture, not meant for use; some fixtures are deliberately malicious samples. Do not install or run it.
Analyze and optimize user prompts for clarity, specificity, and completeness using interactive questionnaires or direct analysis. Use this skill when user requests are vague, ambiguous, incomplete, or lack necessary details. Supports two modes - Interactive Mode (uses AskUserQuestion tool for guided clarification) and Direct Analysis Mode (provides optimization suggestions). Triggers on prompts containing vague language like "something", "thing", "stuff", "it", or when requests lack context, technical specifications, success criteria, or examples. When user requests interactive/questionnaire mode, use AskUserQuestion to guide them through structured questions. Helps transform unclear requests into well-structured, actionable prompts.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Flagged as a test fixture
- GitHub stars
- 186
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.
Our review
- Architecture
- 88 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- The static scan found no issues, but it was flagged as a test fixture.
- License
- MIT
- Adoption
- Adopted by 1 other repositories, in 0 collections
Not checked yet
- Category is a classifier prediction; no model has read this skill 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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