when-optimizing-prompts-use-prompt-architect
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npx skills add majiayu000/claude-skill-registry --skill when-optimizing-prompts-use-prompt-architect-dnyoussef-context-c --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-ARCHITECT SKILL :: VERILINGUA x VERIX EDITION */ /*============================================================================*/ --- name: when-optimizing-prompts-use-prompt-architect version: 1.0.0 description: | [assert|neutral] Comprehensive framework for analyzing, creating, and refining prompts for AI systems using evidence-based techniques [ground:given] [conf:0.95] [state:confirmed] category: utilities tags: - prompt-engineering - optimization - ai-systems - llm author: ruv cognitive_frame: primary: compositional goal_analysis: first_order: "Execute when-optimizing-prompts-use-prompt-architect workflow" second_order: "Ensure quality and consistency" third_order: "Enable systematic utilities processes" --- /*----------------------------------------------------------------------------*/ /* S0 META-IDENTITY */ /*----------------------------------------------------------------------------*/ [define|neutral] SKILL := { name: "when-optimizing-prompts-use-prompt-architect", category: "utilities", version: "1.0.0", layer: L1 } [ground:given] [conf:1.0] [state:confi
- Kanitsal Cerceve (Evidential Frame Activation)
- Overview
- When to Use This Skill
- Theoretical Foundation
- Evidence-Based Techniques
- Prompt Structure Principles
- Phase 1: Analyze Current Prompt
- Objective
- Agent: Researcher
- Validation Criteria
- Hooks Integration
What does the when-optimizing-prompts-use-prompt-architect 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-architect-dnyoussef-context-c --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.