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    "article": "\n# udayanwalvekar/clearshot\r\n- **Archetype**: utility-with-skill\r\n- **Stars**: 124\r\n- **Last pushed**: 2026-03-25\r\n- **License**: MIT\r\n- **Discovered**: 2026-04-12\r\n- **Skills found**: 1\r\n- **Source**: gh-search\r\n\r\n## Summary\r\nStructured screenshot analysis skill for AI coding tools. Implements a 3-level analysis framework (Map, System, Blueprint) that forces the AI to build a structured intermediate representation before responding about UI screenshots. Based on research from Microsoft OmniParser, DCGen, and Google ScreenAI. Includes telemetry, auto-update, and self-rating systems.\r\n\r\n## Assessment\r\nThe core 3-level analysis methodology (spatial grid mapping -> design system extraction -> implementation blueprint) is a genuine procedural innovation. The gate check (is this a UI? is this about building UI?) and the escalation logic (Level 3 only when building) are well-designed. The self-rating and feedback loop system is interesting but tightly coupled to the clearshot brand. The methodology itself is transferable as a \"screenshot-to-implementation\" process. The telemetry/update infrastructure is not transferable.\r\n\r\n## Extraction Priority\r\n- Medium\r\n- Rationale: The 3-level analysis protocol is a solid specialization process for frontend development workflows. However, it is prompt engineering rather than a multi-step orchestrated process -- it runs in a single agent turn. Plugin value is moderate since it requires multimodal image capabilities.\r\n\r\n---\r\n\r\n## Processes\r\n- **screenshot-to-implementation**: Structured UI screenshot analysis pipeline\r\n  - Source: SKILL.md (full file, ~400 lines)\r\n  - Placement: specializations/shared/ (cross-domain; applies to any frontend project)\r\n  - Inputs: Screenshot image path, context (critique vs implementation vs comparison)\r\n  - Outputs: Structured analysis document with spatial map, design system tokens, and optionally a full implementation blueprint\r\n  - Complexity: moderate\r\n  - Notes: The 3-level analysis (Map/System/Blueprint) with automatic escalation to Level 3 when building is the core extractable pattern. The gate check, spatial grid methodology, and design token extraction protocol are the valuable parts. Strip telemetry, auto-update, self-rating, and field report systems.\r\n\r\n## Plugin Ideas\r\n- **clearshot**: Screenshot intelligence for UI implementation\r\n  - What install.md would do: Copy the skill definition with the 3-level analysis protocol, create a ~/.clearshot/ state directory for field reports, register the skill for auto-trigger on UI screenshot analysis requests\r\n  - Processes it would copy: The screenshot-to-implementation process (simplified, without telemetry)\r\n  - Configs/hooks it would create: PostToolUse hook on Read (image files) that suggests the clearshot analysis when a PNG/JPG is read in a frontend context\r\n  - Source evidence: SKILL.md gate check, Level 1-3 analysis protocols, output format specifications\r\n  - Category: DevExp (Developer Experience)\r\n\r\n## Implicit Procedural Knowledge\r\n- **Spatial grid analysis protocol**: 5x5 grid decomposition of UI screenshots\r\n  - Source: SKILL.md Level 1 (Map)\r\n  - Placement: specializations/shared/\r\n  - Why codify: Forces systematic spatial awareness instead of vague \"I see a dashboard\" responses. The element inventory format (type, label, position, state, size, colors, border, shadow, icon) is a reusable structured extraction template.\r\n  - Sketch: Phase 1: Gate check (UI image? building context?). Phase 2: 5x5 grid mapping with section identification. Phase 3: Element inventory per section. Phase 4: Design system extraction (colors hex, typography px, spacing patterns). Phase 5: Blueprint escalation (layout architecture, interaction map, responsive context) -- only when building.\r\n\r\n- **Design token extraction protocol**: Systematic extraction of design system from visual inspection\r\n  - Source: SKILL.md Level 2 (System)\r\n  - Placement: specializations/shared/\r\n  - Why codify: The structured format (page bg, card bg, primary action, text primary/secondary, border, accent, destructive, success -- all hex) combined with qualitative assessment (cohesive vs patchwork) is a reusable pattern for any design review workflow.\r\n  - Sketch: Input: screenshot + Level 1 analysis. Output: Color palette (10 named slots with hex), typography scale (heading/body/caption with px/weight/family), spacing pattern classification (tight/comfortable/spacious), border radius pattern, density classification.\r\n\r\n## Library Mapping\r\n\r\n| Extractable Process | Library Status | Action | Existing Path | Target Placement |\r\n|-------------------|----------------|--------|---------------|------------------|\r\n| Screenshot-to-Implementation | NEW | Structured UI screenshot analysis pipeline with 3-level analysis framework | - | specializations/shared/screenshot-to-implementation.js |\r\n| Spatial Grid Analysis Protocol | NEW | 5x5 grid decomposition of UI screenshots with systematic element inventory | - | specializations/shared/spatial-grid-analysis-protocol.js |\r\n| Design Token Extraction Protocol | NEW | Systematic design system extraction from visual inspection with structured format | - | specializations/shared/design-token-extraction-protocol.js |\r\n\r\n## Plugin Marketplace Mapping\r\n\r\n| Plugin Idea | Marketplace Status | Action | Existing Plugin | Target Placement |\r\n|-------------|-------------------|--------|-----------------|------------------|\r\n| Clearshot | NEW | Screenshot intelligence for UI implementation with 3-level analysis protocol | - | plugins/a5c/marketplace/plugins/clearshot/ |\n",
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