when-optimizing-prompts-use-prompt-optimization-analyzer
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npx skills add majiayu000/claude-skill-registry --skill when-optimizing-prompts-use-prompt-optimization-analyzer-dnyouss-dnyoussef-context-cascade --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
/*============================================================================*/ /* WHEN-OPTIMIZING-PROMPTS-USE-PROMPT-OPTIMIZATION-ANALYZER SKILL :: VERILINGUA x VERIX EDITION */ /*============================================================================*/ --- name: when-optimizing-prompts-use-prompt-optimization-analyzer version: 1.0.0 description: | [assert|neutral] Active diagnostic tool for analyzing prompt quality, detecting anti-patterns, identifying token waste, and providing optimization recommendations [ground:given] [conf:0.95] [state:confirmed] category: foundry tags: - meta-tool - prompt-engineering - optimization - analysis - diagnostics author: ruv cognitive_frame: primary: evidential goal_analysis: first_order: "Execute when-optimizing-prompts-use-prompt-optimization-analyzer workflow" second_order: "Ensure quality and consistency" third_order: "Enable systematic foundry processes" --- /*----------------------------------------------------------------------------*/ /* S0 META-IDENTITY */ /*----------------------------------------------------------------------------*/ [define|neutral] SKILL := { name: "when-optimizing-prompts-use-prompt-optimization-analyzer", cat
- Kanitsal Cerceve (Evidential Frame Activation)
- Skill Execution Criteria
- When to Use This Skill
- When NOT to Use This Skill
- Success Criteria
- Edge Cases
- Skill Guardrails
- Evidence-Based Execution
- Analysis Dimensions
- 1. Token Efficiency Analysis
- 2. Anti-Pattern Detection
- 3. Trigger Issue Analysis
- 4. Structural Optimization
- Execution Process
Analyze prompt for redundancy
npx claude-flow@alpha hooks pre-task --description "Analyzing prompt for token waste"
Store original metrics
npx claude-flow@alpha memory store --key "optimization/original-tokens" --value "{What does the when-optimizing-prompts-use-prompt-optimization-analyzer skill do?
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How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill when-optimizing-prompts-use-prompt-optimization-analyzer-dnyouss-dnyoussef-context-cascade --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.