[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6AEAV4WP2J20D442BKVVE6A":3,"skill-same:01M6AEAV4WP2J20D442BKVVE6A":102},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":16,"sourceHtmlUrl":17,"categories":18,"keywords":35,"publishedAt":58,"linkOnly":59,"markdownContent":60,"markdownBody":61,"frontMatter":62,"refName":63,"commitSha":64,"skillDirectory":65,"forksCount":66,"repositoryHtmlUrl":67,"repositoryHomepageUrl":68,"ownerHtmlUrl":69,"ownerBlogUrl":70,"ownerDescription":71,"updatedAt":72,"install":73,"resources":86},"01M6AEAV4WP2J20D442BKVVE6A","design-to-code",null,"Pixel-perfect Figma to React conversion using coderio. Generates production-ready code (TypeScript, Vite, TailwindCSS V4) with high visual fidelity. Features robust error handling, checkpoint recovery, and streamlined execution via helper script.","davila7\u002Fclaude-code-templates","davila7","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F6216945?v=4","01M6ADEWWFPS191NFM0Y1EX1JH","Daniel Avila","01M6ADJHGM78PHQRD3XZTFDVKK",33481,"Apache-2.0","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fdesign-to-code\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fdesign-to-code\u002FSKILL.md",[19,24,27,32],{"categoryNo":20,"categoryName":21,"taxonomyType":22,"taxonomyTypeDesc":23},"01JBSEEDCAT000000000000015","视觉设计","SCENARIO","使用场景",{"categoryNo":25,"categoryName":26,"taxonomyType":22,"taxonomyTypeDesc":23},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":28,"categoryName":29,"taxonomyType":30,"taxonomyTypeDesc":31},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",{"categoryNo":33,"categoryName":34,"taxonomyType":30,"taxonomyTypeDesc":31},"01JBSEEDCAT000000000000032","设计师",[36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57],"code","design to code","design","vite","features","production-ready","visual fidelity","helper","error","visual","pixel","figma to react","conversion","ready","checkpoint","execution","Production","figma","error handling","react","typescript","tailwindcss","2026-11-10 10:12:30",false,"---\nname: design-to-code\ndescription: Pixel-perfect Figma to React conversion using coderio. Generates production-ready code (TypeScript, Vite, TailwindCSS V4) with high visual fidelity. Features robust error handling, checkpoint recovery, and streamlined execution via helper script.\n---\n\n# Design to Code\n\nHigh-fidelity UI restoration from Figma designs to production-ready React + TypeScript components.\nThis SKILL uses a **robust helper script** to minimize manual errors and ensure pixel-perfect results.\n\n## Prerequisites\n\n1.  **Figma API Token**: Get from Figma → Settings → Personal Access Tokens\n2.  **Node.js**: Version 18+\n3.  **coderio**: Installed in `scripts\u002F` folder (handled by Setup phase)\n\n## Workflow Overview\n\n```\nPhase 0: SETUP    → Create helper script and script environment\nPhase 1: PROTOCOL → Generate design protocol (Structure & Props)\nPhase 2: CODE     → Generate components and assets\n```\n\n---\n\n# Phase 0: Setup\n\n## Step 0.1: Initialize Helper Script\n\n**User Action**: Run these commands to create the execution helper and isolate its dependencies.\n\n```bash\nmkdir -p scripts\n\n# 1. Copy script files\n# Note: Ensure you have the 'skills\u002Fdesign-to-code\u002Fscripts' directory available\ncp skills\u002Fdesign-to-code\u002Fscripts\u002Fpackage.json scripts\u002Fpackage.json\ncp skills\u002Fdesign-to-code\u002Fscripts\u002Fcoderio-skill.mjs scripts\u002Fcoderio-skill.mjs\n\n# 2. Install coderio in scripts directory (adjust version if needed)\ncd scripts && pnpm install && cd ..\n```\n\n## Step 0.2: Scaffold Project (Optional)\n\nIf starting a new project:\n\n1.  Run: `node scripts\u002Fcoderio-skill.mjs scaffold-prompt \"MyApp\"`\n2.  **AI Task**: Follow the instructions output by the command to create files.\n\n---\n\n# Phase 1: Protocol Generation\n\n## Step 1.1: Fetch Data\n\n```bash\n# Replace with your URL and Token\nnode scripts\u002Fcoderio-skill.mjs fetch-figma \"https:\u002F\u002Ffigma.com\u002Ffile\u002F...\" \"figd_...\"\n```\n\n**Verify**: `process\u002Fthumbnail.png` should exist.\n\n## Step 1.2: Generate Structure\n\n1.  **Generate Prompt**:\n\n    ```bash\n    node scripts\u002Fcoderio-skill.mjs structure-prompt > scripts\u002Fstructure-prompt.md\n    ```\n\n2.  **AI Task (Structure)**:\n    - **ATTACH**: `process\u002Fthumbnail.png` (MANDATORY)\n    - **READ**: `scripts\u002Fstructure-prompt.md`\n    - **INSTRUCTION**: \"Generate the component structure JSON based on the prompt and the attached thumbnail. Focus on visual grouping. **Use text content to name components accurately (e.g. 'SafeProducts', not 'FAQ').**\"\n    - **SAVE**: Paste the JSON result into `scripts\u002Fstructure-output.json`.\n\n3.  **Process Result**:\n    ```bash\n    node scripts\u002Fcoderio-skill.mjs save-structure\n    ```\n\n## Step 1.3: Extract Props (Iterative)\n\n1.  **List Components**:\n\n    ```bash\n    node scripts\u002Fcoderio-skill.mjs list-components\n    ```\n\n2.  **For EACH component in the list**:\n\n    a. **Generate Prompt**:\n\n    ```bash\n    node scripts\u002Fcoderio-skill.mjs props-prompt \"ComponentName\" > scripts\u002Fcurrent-props-prompt.md\n    ```\n\n    b. **AI Task (Props)**:\n    - **ATTACH**: `process\u002Fthumbnail.png` (MANDATORY)\n    - **READ**: `scripts\u002Fcurrent-props-prompt.md`\n    - **INSTRUCTION**: \"Extract props and state data. Be pixel-perfect with text and image paths.\"\n    - **SAVE**: Paste the JSON result into `scripts\u002FComponentName-props.json`.\n\n    c. **Save & Validate**:\n\n    ```bash\n    node scripts\u002Fcoderio-skill.mjs save-props \"ComponentName\"\n    # If this fails, re-do step 'b' with better attention to the thumbnail\n    ```\n\n---\n\n# Phase 2: Code Generation\n\n## Step 2.1: Plan Tasks\n\n```bash\nnode scripts\u002Fcoderio-skill.mjs list-gen-tasks\n```\n\nThis outputs a list of tasks with indices (0, 1, 2...).\n\n## Step 2.2: Generate Components (Iterative)\n\n**For EACH task index (starting from 0)**:\n\n1.  **Generate Prompt**:\n\n    ```bash\n    node scripts\u002Fcoderio-skill.mjs code-prompt 0 > scripts\u002Fcode-prompt.md\n    # Replace '0' with current task index\n    ```\n\n2.  **AI Task (Code)**:\n    - **ATTACH**: `process\u002Fthumbnail.png` (MANDATORY)\n    - **READ**: `scripts\u002Fcode-prompt.md`\n    - **INSTRUCTION**: \"Generate the React component code. Match the thumbnail EXACTLY. **Use STRICT text content from input data, do not hallucinate.**\"\n    - **SAVE**: Paste the code block into `scripts\u002Fcode-output.txt`.\n\n3.  **Save Code**:\n    ```bash\n    node scripts\u002Fcoderio-skill.mjs save-code 0\n    # Replace '0' with current task index\n    ```\n\n## Step 2.3: Final Integration\n\nInject the root component into `App.tsx`. Use the path found in the last task of Phase 2.1.\n\n---\n\n# Troubleshooting\n\n- **\"Props validation failed\"**: The AI generated empty props. Check if `process\u002Fthumbnail.png` was attached and visible to the AI. Retry the props generation step.\n- **\"Module not found\"**: Ensure `node scripts\u002Fcoderio-skill.mjs save-code` was run for the child component before the parent component. Phase 2 must be done in order (0, 1, 2...).\n- **\"Visuals don't match\"**: Did you attach the thumbnail? The AI relies on it for spacing and layout nuances not present in the raw data.\n","# Design to Code\n\nHigh-fidelity UI restoration from Figma designs to production-ready React + TypeScript components.\nThis SKILL uses a **robust helper script** to minimize manual errors and ensure pixel-perfect results.\n\n## Prerequisites\n\n1.  **Figma API Token**: Get from Figma → Settings → Personal Access Tokens\n2.  **Node.js**: Version 18+\n3.  **coderio**: Installed in `scripts\u002F` folder (handled by Setup phase)\n\n## Workflow Overview\n\n```\nPhase 0: SETUP    → Create helper script and script environment\nPhase 1: PROTOCOL → Generate design protocol (Structure & Props)\nPhase 2: CODE     → Generate components and assets\n```\n\n---\n\n# Phase 0: Setup\n\n## Step 0.1: Initialize Helper Script\n\n**User Action**: Run these commands to create the execution helper and isolate its dependencies.\n\n```bash\nmkdir -p scripts\n\n# 1. Copy script files\n# Note: Ensure you have the 'skills\u002Fdesign-to-code\u002Fscripts' directory available\ncp skills\u002Fdesign-to-code\u002Fscripts\u002Fpackage.json scripts\u002Fpackage.json\ncp skills\u002Fdesign-to-code\u002Fscripts\u002Fcoderio-skill.mjs scripts\u002Fcoderio-skill.mjs\n\n# 2. Install coderio in scripts directory (adjust version if needed)\ncd scripts && pnpm install && cd ..\n```\n\n## Step 0.2: Scaffold Project (Optional)\n\nIf starting a new project:\n\n1.  Run: `node scripts\u002Fcoderio-skill.mjs scaffold-prompt \"MyApp\"`\n2.  **AI Task**: Follow the instructions output by the command to create files.\n\n---\n\n# Phase 1: Protocol Generation\n\n## Step 1.1: Fetch Data\n\n```bash\n# Replace with your URL and Token\nnode scripts\u002Fcoderio-skill.mjs fetch-figma \"https:\u002F\u002Ffigma.com\u002Ffile\u002F...\" \"figd_...\"\n```\n\n**Verify**: `process\u002Fthumbnail.png` should exist.\n\n## Step 1.2: Generate Structure\n\n1.  **Generate Prompt**:\n\n    ```bash\n    node scripts\u002Fcoderio-skill.mjs structure-prompt > scripts\u002Fstructure-prompt.md\n    ```\n\n2.  **AI Task (Structure)**:\n    - **ATTACH**: `process\u002Fthumbnail.png` (MANDATORY)\n    - **READ**: `scripts\u002Fstructure-prompt.md`\n    - **INSTRUCTION**: \"Generate the component structure JSON based on the prompt and the attached thumbnail. Focus on visual grouping. **Use text content to name components accurately (e.g. 'SafeProducts', not 'FAQ').**\"\n    - **SAVE**: Paste the JSON result into `scripts\u002Fstructure-output.json`.\n\n3.  **Process Result**:\n    ```bash\n    node scripts\u002Fcoderio-skill.mjs save-structure\n    ```\n\n## Step 1.3: Extract Props (Iterative)\n\n1.  **List Components**:\n\n    ```bash\n    node scripts\u002Fcoderio-skill.mjs list-components\n    ```\n\n2.  **For EACH component in the list**:\n\n    a. **Generate Prompt**:\n\n    ```bash\n    node scripts\u002Fcoderio-skill.mjs props-prompt \"ComponentName\" > scripts\u002Fcurrent-props-prompt.md\n    ```\n\n    b. **AI Task (Props)**:\n    - **ATTACH**: `process\u002Fthumbnail.png` (MANDATORY)\n    - **READ**: `scripts\u002Fcurrent-props-prompt.md`\n    - **INSTRUCTION**: \"Extract props and state data. Be pixel-perfect with text and image paths.\"\n    - **SAVE**: Paste the JSON result into `scripts\u002FComponentName-props.json`.\n\n    c. **Save & Validate**:\n\n    ```bash\n    node scripts\u002Fcoderio-skill.mjs save-props \"ComponentName\"\n    # If this fails, re-do step 'b' with better attention to the thumbnail\n    ```\n\n---\n\n# Phase 2: Code Generation\n\n## Step 2.1: Plan Tasks\n\n```bash\nnode scripts\u002Fcoderio-skill.mjs list-gen-tasks\n```\n\nThis outputs a list of tasks with indices (0, 1, 2...).\n\n## Step 2.2: Generate Components (Iterative)\n\n**For EACH task index (starting from 0)**:\n\n1.  **Generate Prompt**:\n\n    ```bash\n    node scripts\u002Fcoderio-skill.mjs code-prompt 0 > scripts\u002Fcode-prompt.md\n    # Replace '0' with current task index\n    ```\n\n2.  **AI Task (Code)**:\n    - **ATTACH**: `process\u002Fthumbnail.png` (MANDATORY)\n    - **READ**: `scripts\u002Fcode-prompt.md`\n    - **INSTRUCTION**: \"Generate the React component code. Match the thumbnail EXACTLY. **Use STRICT text content from input data, do not hallucinate.**\"\n    - **SAVE**: Paste the code block into `scripts\u002Fcode-output.txt`.\n\n3.  **Save Code**:\n    ```bash\n    node scripts\u002Fcoderio-skill.mjs save-code 0\n    # Replace '0' with current task index\n    ```\n\n## Step 2.3: Final Integration\n\nInject the root component into `App.tsx`. Use the path found in the last task of Phase 2.1.\n\n---\n\n# Troubleshooting\n\n- **\"Props validation failed\"**: The AI generated empty props. Check if `process\u002Fthumbnail.png` was attached and visible to the AI. Retry the props generation step.\n- **\"Module not found\"**: Ensure `node scripts\u002Fcoderio-skill.mjs save-code` was run for the child component before the parent component. Phase 2 must be done in order (0, 1, 2...).\n- **\"Visuals don't match\"**: Did you attach the thumbnail? The AI relies on it for spacing and layout nuances not present in the raw data.\n",{"name":5,"description":7},"main","2b749c82b5d11fac39d9a6e021ce3f5b8a541bd1","cli-tool\u002Fcomponents\u002Fskills\u002Fdesign-to-code",3931,"https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates","https:\u002F\u002Faitmpl.com","https:\u002F\u002Fgithub.com\u002Fdavila7","https:\u002F\u002Fdanielavila.me","Building AI dev tools with LLMs","2026-11-14 06:14:46",{"source":8,"skillName":5,"commands":74,"prompt":84,"zipAvailable":85},[75,78,81],{"tool":76,"command":77},"npx","npx skills add davila7\u002Fclaude-code-templates --skill design-to-code",{"tool":79,"command":80},"bunx","bunx skills add davila7\u002Fclaude-code-templates --skill design-to-code",{"tool":82,"command":83},"pnpm","pnpm dlx skills add davila7\u002Fclaude-code-templates --skill design-to-code","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fdesign-to-code\u002FSKILL.md",true,[87,92,98],{"path":88,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":91,"sourceHtmlUrl":16},"LICENSE.txt","LICENSE","许可证",10880,{"path":93,"resourceType":94,"resourceTypeDesc":95,"sizeBytes":96,"sourceHtmlUrl":97},"scripts\u002Fcoderio-skill.mjs","SCRIPT","脚本",13059,"https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fdesign-to-code\u002Fscripts\u002Fcoderio-skill.mjs",{"path":99,"resourceType":94,"resourceTypeDesc":95,"sizeBytes":100,"sourceHtmlUrl":101},"scripts\u002Fpackage.json",122,"https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fdesign-to-code\u002Fscripts\u002Fpackage.json",[103,132,158,189,222,246],{"skillNo":104,"name":105,"nameZh":6,"description":106,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":107,"licenseFileUrl":6,"sourceHtmlUrl":108,"categories":109,"keywords":111,"publishedAt":58},"01M70NHBTQ8BV0A2SCAZXEPHCX","wealthville-pool-scoring","Score DeFi liquidity pools before providing liquidity. Returns a 0-100 pool score and an Enter\u002FHold\u002FExit\u002FReduce\u002FAvoid verdict with calibrated confidence for ~68,800 Solana pools and 575 EVM pools, plus a public miss-inclusive track record. Use when asked whether a pool is worth LPing into, which pools look best right now, or how accurate the scores have actually been.","MIT","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fweb-data\u002Fwealthville-pool-scoring\u002FSKILL.md",[110],{"categoryNo":25,"categoryName":26,"taxonomyType":22,"taxonomyTypeDesc":23},[112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131],"scoring","pool","wealthville pool scoring","liquidity","which","for","exit","now","use","when","reduce","with","record","track","verdict","evm","solana","how","public","look",{"skillNo":133,"name":134,"nameZh":6,"description":135,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":107,"licenseFileUrl":6,"sourceHtmlUrl":136,"categories":137,"keywords":139,"publishedAt":58},"01M70MB6VR8ERJ4EM8D5KHBMEV","technical-debt-auditor","Scans a codebase and produces a quantified technical debt report with a prioritized remediation plan. Analyzes dead code, TODO\u002FFIXME\u002FHACK markers, dependency staleness, complexity hotspots, code duplication signals, test coverage gaps, unused exports, and outdated patterns. Use this skill when the user asks to audit their codebase for tech debt, wants a health check of their code quality, says things like \"where should I focus refactoring\", \"find code smells\", \"audit my codebase\", \"what technical debt do we have\", \"prioritize cleanup work\", or asks about code quality metrics. Also trigger when the user mentions \"code rot\", \"legacy cleanup\", \"refactoring priorities\", or wants to understand the overall health of a project before a major effort. Trigger even if the user doesn't say \"technical debt\" explicitly — any request to systematically assess code quality and identify improvement priorities belongs here.","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fdevelopment\u002Ftechnical-debt-auditor\u002FSKILL.md",[138],{"categoryNo":25,"categoryName":26,"taxonomyType":22,"taxonomyTypeDesc":23},[140,141,142,143,144,145,146,147,148,149,150,121,36,151,152,153,154,155,156,157],"technical debt","debt","technical","technical debt auditor","auditor","coverage","complexity","markers","project","cleanup","unused","todo","work","plan","focus","signals","audit","dependency",{"skillNo":159,"name":160,"nameZh":6,"description":161,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":107,"licenseFileUrl":6,"sourceHtmlUrl":162,"categories":163,"keywords":171,"publishedAt":58},"01M70KPYH9QNHCNME5GJQGE22K","readonly-sql-guard","Make an agent's database access provably read-only. Use when an agent runs caller-supplied SQL against a production\u002FERP\u002Fanalytics database (a \"query\" MCP tool, text-to-SQL, an admin console), or when reviewing DB-access code for write\u002FDDL\u002Fside-effect\u002Ftransaction-escape risks. Checks what a statement CALLS, not just its shape.","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fdatabase\u002Freadonly-sql-guard\u002FSKILL.md",[164,167,168],{"categoryNo":165,"categoryName":166,"taxonomyType":22,"taxonomyTypeDesc":23},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":25,"categoryName":26,"taxonomyType":22,"taxonomyTypeDesc":23},{"categoryNo":169,"categoryName":170,"taxonomyType":30,"taxonomyTypeDesc":31},"01JBSEEDCAT000000000000033","数据分析师",[172,173,174,175,176,177,178,117,179,180,181,182,183,184,185,120,186,187,121,188],"readonly","guard","sql guard","sql","readonly sql guard","erp","effect","read-only","db","just","tool","calls","only","MCP","access","database","query",{"skillNo":190,"name":191,"nameZh":6,"description":192,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":193,"sourceHtmlUrl":194,"categories":195,"keywords":199,"publishedAt":58},"01M6AFY6F7CC2BBZP1QD6VTNVC","web-artifacts-builder","Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn\u002Fui). Use for complex artifacts requiring state management, routing, or shadcn\u002Fui components - not for simple single-file HTML\u002FJSX artifacts.","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Futilities\u002Fweb-artifacts-builder\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Futilities\u002Fweb-artifacts-builder\u002FSKILL.md",[196],{"categoryNo":197,"categoryName":198,"taxonomyType":22,"taxonomyTypeDesc":23},"01JBSEEDCAT000000000000009","前端开发",[200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,55,216,217,218,219,220,117,221],"artifacts builder","web","web artifacts builder","artifacts","builder","state","routing","state management","component","css","frontend","ui","Tools","file","components","shadcn","Tailwind","suite","jsx","html","single-file","ui components",{"skillNo":223,"name":224,"nameZh":6,"description":225,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":226,"sourceHtmlUrl":227,"categories":228,"keywords":233,"publishedAt":58},"01M6AFWF33SFV9Z3SF4PEEE4BF","webapp-testing","Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fsecurity\u002Fwebapp-testing\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fsecurity\u002Fwebapp-testing\u002FSKILL.md",[229,232],{"categoryNo":230,"categoryName":231,"taxonomyType":22,"taxonomyTypeDesc":23},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":197,"categoryName":198,"taxonomyType":22,"taxonomyTypeDesc":23},[234,235,236,237,238,201,239,210,211,240,241,242,243,117,244,123,245],"webapp testing","testing","webapp","browser","playwright","applications","debugging","toolkit","logs","screenshots","local","behavior",{"skillNo":247,"name":248,"nameZh":6,"description":249,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":250,"sourceHtmlUrl":251,"categories":252,"keywords":260,"publishedAt":58},"01M6AF67Q67JJJ5V51JR2P52KA","discernment-nudge","After you give a substantive answer or draft that the user may act on — advice or recommendations, drafted artifacts such as goals, plans, pitches, proposals, or emails, estimates or projections, analysis or interpretation of data, factual claims they may rely on, or a multi-step argument — invoke this skill BEFORE finalizing your reply and then, if it applies, append 2-3 short follow-up questions, each tied to something specific in what you just produced, that help the user check key facts, probe the reasoning or assumptions, and notice missing context. Do this at most once per conversation. Skip it when the user asked a trivial how-to or simple lookup, wants a purely educational explanation, asked you only to format, convert, or assemble a file from content they provided, is writing code they will run, is doing creative writing or casual chat, or already asked you to double-check, cite, or review — the skill file explains these boundaries and the exact output format.","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fdiscernment-nudge\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fdiscernment-nudge\u002FSKILL.md",[253,256,257],{"categoryNo":254,"categoryName":255,"taxonomyType":22,"taxonomyTypeDesc":23},"01JBSEEDCAT000000000000018","写作与文案",{"categoryNo":25,"categoryName":26,"taxonomyType":22,"taxonomyTypeDesc":23},{"categoryNo":258,"categoryName":259,"taxonomyType":30,"taxonomyTypeDesc":31},"01JBSEEDCAT000000000000036","内容创作者",[261,262,263,264,265,266,267,268,203,269,213,36,270,271,272,273,274,184,275,121,276,277,278,279,280,129,281],"discernment nudge","nudge","interpretation","help","run","reasoning","data","writing","lookup","content","review","conversation","short","up","invoke","you","analysis","claims","argument","assemble","recommendations"]