[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6AE83V6VZHM3K2SYWNGFKE5":3,"skill-same:01M6AE83V6VZHM3K2SYWNGFKE5":106},{"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":6,"sourceHtmlUrl":16,"categories":17,"keywords":34,"publishedAt":59,"linkOnly":60,"markdownContent":61,"markdownBody":62,"frontMatter":63,"refName":76,"commitSha":77,"skillDirectory":78,"forksCount":79,"repositoryHtmlUrl":80,"repositoryHomepageUrl":81,"ownerHtmlUrl":82,"ownerBlogUrl":83,"ownerDescription":84,"updatedAt":85,"install":86,"resources":99},"01M6AE83V6VZHM3K2SYWNGFKE5","patentfig",null,"Generate patent-office-compliant figures via the PatentFig AI API — patent line art from text (PNG or SVG), vectorize drawings to SVG\u002FDXF\u002Fvector PDF, AI-upscale images, and convert to filing-ready TIFF\u002FPDF\u002FPNG. Use when the user asks for patent drawings, patent figures, invention diagrams, USPTO\u002FEPO-compliant line art, vectorizing a drawing for CAD, or preparing figures for a patent filing. Requires a PATENTFIG_API_KEY environment variable.","davila7\u002Fclaude-code-templates","davila7","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F6216945?v=4","01M6ADEWWFPS191NFM0Y1EX1JH","Daniel Avila","01M6ADJHGM78PHQRD3XZTFDVKK",33481,"MIT","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fcreative-design\u002Fpatentfig\u002FSKILL.md",[18,23,26,29],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000002","文档处理","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":27,"categoryName":28,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000016","图像与多媒体",{"categoryNo":30,"categoryName":31,"taxonomyType":32,"taxonomyTypeDesc":33},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[5,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58],"use","DXF","when","for","figures","filing","SVG","ai api","drawing","Art","diagrams","images","ready","PDF","environment","convert","api","Image Generation","office","https","vector","generate","docs","image","2026-11-10 10:12:30",false,"---\nname: patentfig\ndescription: Generate patent-office-compliant figures via the PatentFig AI API — patent line art from text (PNG or SVG), vectorize drawings to SVG\u002FDXF\u002Fvector PDF, AI-upscale images, and convert to filing-ready TIFF\u002FPDF\u002FPNG. Use when the user asks for patent drawings, patent figures, invention diagrams, USPTO\u002FEPO-compliant line art, vectorizing a drawing for CAD, or preparing figures for a patent filing. Requires a PATENTFIG_API_KEY environment variable.\nlicense: MIT\nmetadata:\n  homepage: https:\u002F\u002Fpatentfig.ai\n  docs: https:\u002F\u002Fpatentfig.ai\u002Fdocs\n  version: 1.0.0\n  author: TopLocalAI\n  tags: [Patent, Patent Drawings, Line Art, SVG, Vectorize, DXF, USPTO, Image Generation, API]\n---\n\n# PatentFig AI API\n\nGenerate and convert patent figures through the PatentFig AI REST API.\n\n- **Base URL**: `https:\u002F\u002Fpatentfig.ai\u002Fapi\u002Fv1`\n- **Auth**: `Authorization: Bearer $PATENTFIG_API_KEY`\n- **All endpoints are synchronous** and return JSON: `{ \"success\": true, \"data\": {...} }` on success, `{ \"success\": false, \"error\": { \"code\", \"message\" } }` on failure.\n- Generated files are returned as URLs on `https:\u002F\u002Fcdn.patentfig.ai` — pass them to the user or feed them into follow-up calls.\n\n## Setup\n\nThe key comes from the `PATENTFIG_API_KEY` environment variable. Never hardcode it, print it, or write it into files or logs.\n\nIf the variable is not set, tell the user to create a key at https:\u002F\u002Fpatentfig.ai\u002Fsettings\u002Fapi-keys (requires a PatentFig AI account; keys start with `pfig_`) and export it:\n\n```bash\nexport PATENTFIG_API_KEY=\"pfig_...\"\n```\n\nVerify connectivity and credit balance (free call):\n\n```bash\ncurl -s https:\u002F\u002Fpatentfig.ai\u002Fapi\u002Fv1\u002Fcredits \\\n  -H \"Authorization: Bearer $PATENTFIG_API_KEY\"\n# → { \"success\": true, \"data\": { \"balance\": 500 } }\n```\n\n## Generate a patent figure (10 credits)\n\n`POST \u002Ffigures` — the core endpoint. One prompt → one figure. Views, diagram type, and composition are all controlled through the prompt; for a multi-view set (front\u002Fside\u002Ftop), make one call per view.\n\n```bash\ncurl -s -X POST https:\u002F\u002Fpatentfig.ai\u002Fapi\u002Fv1\u002Ffigures \\\n  -H \"Authorization: Bearer $PATENTFIG_API_KEY\" \\\n  -H \"Content-Type: application\u002Fjson\" \\\n  --max-time 300 \\\n  -d '{\n    \"prompt\": \"Exploded view of a wireless earbud charging case showing lid, hinge, charging coil, and battery\",\n    \"output\": \"svg\",\n    \"labeled\": true\n  }'\n```\n\n- `output`: `\"png\"` (raster figure) or `\"svg\"` (stroke-based line art, CAD-friendly). Default `\"png\"`.\n- `labeled: true` adds patent-style numeric reference callouts (100, 102, …).\n- `referenceImageUrls`: up to 4 public image URLs (sketch\u002Fphoto\u002Fprior figure) used as the structural baseline.\n- Response `data.url` is the figure; with `output: \"svg\"` the full SVG source is also in `data.svg`.\n\nPrompting tips: name the parts to draw (names tell the model WHAT to draw, not what to label); for flowcharts\u002Fblock diagrams, name every node explicitly.\n\n## Convert an existing image\n\nAll three endpoints accept either JSON with `imageUrl` (public URL) or `multipart\u002Fform-data` with a `file` field (PNG\u002FJPEG\u002FWebP\u002FTIFF, ≤10 MB).\n\n**Vectorize (20 credits)** — raster → SVG \u002F DXF \u002F vector PDF:\n\n```bash\ncurl -s -X POST https:\u002F\u002Fpatentfig.ai\u002Fapi\u002Fv1\u002Fvectorize \\\n  -H \"Authorization: Bearer $PATENTFIG_API_KEY\" \\\n  -H \"Content-Type: application\u002Fjson\" \\\n  --max-time 300 \\\n  -d '{ \"imageUrl\": \"https:\u002F\u002Fexample.com\u002Fdrawing.png\", \"format\": \"dxf\", \"engine\": \"lineart\" }'\n```\n\n`engine: \"lineart\"` (default) redraws as clean single-stroke patent line art — use for CAD\u002FDXF. `engine: \"trace\"` reproduces the input pixels faithfully, preserving fills — use when output must match the original.\n\n**Enhance (20 credits)** — AI super-resolution: `POST \u002Fenhance` with `scale` (2 or 4, controls pixels) and `dpi` (300 or 600, metadata stamp only).\n\n**Convert (20 credits)** — filing-ready raster: `POST \u002Fconvert` with `format` (`png`\u002F`tiff`\u002F`pdf`) and `dpi` (300 or 600).\n\nFull parameter tables for every endpoint: see [references\u002Fendpoints.md](references\u002Fendpoints.md). Machine-readable spec: https:\u002F\u002Fpatentfig.ai\u002Fapi\u002Fopenapi.yaml\n\n## Operational rules\n\n- **Set a client timeout of at least 300 seconds** — generation and vectorization take from ~20s up to a few minutes.\n- Credits are charged **only on success**; retrying a failed call never double-bills.\n- Rate limit: 60 requests\u002Fminute per key. On `429` back off (start at 5s) and retry.\n- On `402 INSUFFICIENT_CREDITS`, stop and tell the user to top up at https:\u002F\u002Fpatentfig.ai\u002Fpricing.\n- On `500 GENERATION_FAILED`, one retry is reasonable; persistent failures usually mean the input doesn't suit the pipeline (e.g., a photo sent for line-art vectorization — suggest `POST \u002Ffigures` with the photo as `referenceImageUrls` instead).\n- Before a batch of billable calls, check `GET \u002Fcredits` and confirm the balance covers it.\n","# PatentFig AI API\n\nGenerate and convert patent figures through the PatentFig AI REST API.\n\n- **Base URL**: `https:\u002F\u002Fpatentfig.ai\u002Fapi\u002Fv1`\n- **Auth**: `Authorization: Bearer $PATENTFIG_API_KEY`\n- **All endpoints are synchronous** and return JSON: `{ \"success\": true, \"data\": {...} }` on success, `{ \"success\": false, \"error\": { \"code\", \"message\" } }` on failure.\n- Generated files are returned as URLs on `https:\u002F\u002Fcdn.patentfig.ai` — pass them to the user or feed them into follow-up calls.\n\n## Setup\n\nThe key comes from the `PATENTFIG_API_KEY` environment variable. Never hardcode it, print it, or write it into files or logs.\n\nIf the variable is not set, tell the user to create a key at https:\u002F\u002Fpatentfig.ai\u002Fsettings\u002Fapi-keys (requires a PatentFig AI account; keys start with `pfig_`) and export it:\n\n```bash\nexport PATENTFIG_API_KEY=\"pfig_...\"\n```\n\nVerify connectivity and credit balance (free call):\n\n```bash\ncurl -s https:\u002F\u002Fpatentfig.ai\u002Fapi\u002Fv1\u002Fcredits \\\n  -H \"Authorization: Bearer $PATENTFIG_API_KEY\"\n# → { \"success\": true, \"data\": { \"balance\": 500 } }\n```\n\n## Generate a patent figure (10 credits)\n\n`POST \u002Ffigures` — the core endpoint. One prompt → one figure. Views, diagram type, and composition are all controlled through the prompt; for a multi-view set (front\u002Fside\u002Ftop), make one call per view.\n\n```bash\ncurl -s -X POST https:\u002F\u002Fpatentfig.ai\u002Fapi\u002Fv1\u002Ffigures \\\n  -H \"Authorization: Bearer $PATENTFIG_API_KEY\" \\\n  -H \"Content-Type: application\u002Fjson\" \\\n  --max-time 300 \\\n  -d '{\n    \"prompt\": \"Exploded view of a wireless earbud charging case showing lid, hinge, charging coil, and battery\",\n    \"output\": \"svg\",\n    \"labeled\": true\n  }'\n```\n\n- `output`: `\"png\"` (raster figure) or `\"svg\"` (stroke-based line art, CAD-friendly). Default `\"png\"`.\n- `labeled: true` adds patent-style numeric reference callouts (100, 102, …).\n- `referenceImageUrls`: up to 4 public image URLs (sketch\u002Fphoto\u002Fprior figure) used as the structural baseline.\n- Response `data.url` is the figure; with `output: \"svg\"` the full SVG source is also in `data.svg`.\n\nPrompting tips: name the parts to draw (names tell the model WHAT to draw, not what to label); for flowcharts\u002Fblock diagrams, name every node explicitly.\n\n## Convert an existing image\n\nAll three endpoints accept either JSON with `imageUrl` (public URL) or `multipart\u002Fform-data` with a `file` field (PNG\u002FJPEG\u002FWebP\u002FTIFF, ≤10 MB).\n\n**Vectorize (20 credits)** — raster → SVG \u002F DXF \u002F vector PDF:\n\n```bash\ncurl -s -X POST https:\u002F\u002Fpatentfig.ai\u002Fapi\u002Fv1\u002Fvectorize \\\n  -H \"Authorization: Bearer $PATENTFIG_API_KEY\" \\\n  -H \"Content-Type: application\u002Fjson\" \\\n  --max-time 300 \\\n  -d '{ \"imageUrl\": \"https:\u002F\u002Fexample.com\u002Fdrawing.png\", \"format\": \"dxf\", \"engine\": \"lineart\" }'\n```\n\n`engine: \"lineart\"` (default) redraws as clean single-stroke patent line art — use for CAD\u002FDXF. `engine: \"trace\"` reproduces the input pixels faithfully, preserving fills — use when output must match the original.\n\n**Enhance (20 credits)** — AI super-resolution: `POST \u002Fenhance` with `scale` (2 or 4, controls pixels) and `dpi` (300 or 600, metadata stamp only).\n\n**Convert (20 credits)** — filing-ready raster: `POST \u002Fconvert` with `format` (`png`\u002F`tiff`\u002F`pdf`) and `dpi` (300 or 600).\n\nFull parameter tables for every endpoint: see [references\u002Fendpoints.md](references\u002Fendpoints.md). Machine-readable spec: https:\u002F\u002Fpatentfig.ai\u002Fapi\u002Fopenapi.yaml\n\n## Operational rules\n\n- **Set a client timeout of at least 300 seconds** — generation and vectorization take from ~20s up to a few minutes.\n- Credits are charged **only on success**; retrying a failed call never double-bills.\n- Rate limit: 60 requests\u002Fminute per key. On `429` back off (start at 5s) and retry.\n- On `402 INSUFFICIENT_CREDITS`, stop and tell the user to top up at https:\u002F\u002Fpatentfig.ai\u002Fpricing.\n- On `500 GENERATION_FAILED`, one retry is reasonable; persistent failures usually mean the input doesn't suit the pipeline (e.g., a photo sent for line-art vectorization — suggest `POST \u002Ffigures` with the photo as `referenceImageUrls` instead).\n- Before a batch of billable calls, check `GET \u002Fcredits` and confirm the balance covers it.\n",{"name":5,"license":15,"metadata":64,"description":7},{"docs":65,"tags":66,"author":73,"version":74,"homepage":75},"https:\u002F\u002Fpatentfig.ai\u002Fdocs",[67,68,69,41,70,36,71,52,72],"Patent","Patent Drawings","Line Art","Vectorize","USPTO","API","TopLocalAI","1.0.0","https:\u002F\u002Fpatentfig.ai","main","2b749c82b5d11fac39d9a6e021ce3f5b8a541bd1","cli-tool\u002Fcomponents\u002Fskills\u002Fcreative-design\u002Fpatentfig",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":87,"prompt":97,"zipAvailable":98},[88,91,94],{"tool":89,"command":90},"npx","npx skills add davila7\u002Fclaude-code-templates --skill patentfig",{"tool":92,"command":93},"bunx","bunx skills add davila7\u002Fclaude-code-templates --skill patentfig",{"tool":95,"command":96},"pnpm","pnpm dlx skills add davila7\u002Fclaude-code-templates --skill patentfig","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fcreative-design\u002Fpatentfig\u002FSKILL.md",true,[100],{"path":101,"resourceType":102,"resourceTypeDesc":103,"sizeBytes":104,"sourceHtmlUrl":105},"references\u002Fendpoints.md","REFERENCE","参考文档",3297,"https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fcreative-design\u002Fpatentfig\u002Freferences\u002Fendpoints.md",[107,134,161,190,225,249],{"skillNo":108,"name":109,"nameZh":6,"description":110,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":111,"categories":112,"keywords":116,"publishedAt":59},"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.","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fweb-data\u002Fwealthville-pool-scoring\u002FSKILL.md",[113],{"categoryNo":114,"categoryName":115,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",[117,118,119,120,121,38,122,123,35,37,124,125,126,127,128,129,130,131,132,133],"scoring","pool","wealthville pool scoring","liquidity","which","exit","now","reduce","with","record","track","verdict","evm","solana","how","public","look",{"skillNo":135,"name":136,"nameZh":6,"description":137,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":138,"categories":139,"keywords":141,"publishedAt":59},"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",[140],{"categoryNo":114,"categoryName":115,"taxonomyType":21,"taxonomyTypeDesc":22},[142,143,144,145,146,147,148,149,150,151,152,37,153,154,155,156,157,158,159,160],"technical debt","debt","technical","technical debt auditor","auditor","coverage","complexity","markers","project","cleanup","unused","code","todo","work","plan","focus","signals","audit","dependency",{"skillNo":162,"name":163,"nameZh":6,"description":164,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":165,"categories":166,"keywords":172,"publishedAt":59},"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",[167,168,169],{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":114,"categoryName":115,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":170,"categoryName":171,"taxonomyType":32,"taxonomyTypeDesc":33},"01JBSEEDCAT000000000000033","数据分析师",[173,174,175,176,177,178,179,38,180,181,182,183,184,185,186,35,187,188,37,189],"readonly","guard","sql guard","sql","readonly sql guard","erp","effect","read-only","db","just","tool","calls","only","MCP","access","database","query",{"skillNo":191,"name":192,"nameZh":6,"description":193,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":194,"licenseFileUrl":195,"sourceHtmlUrl":196,"categories":197,"keywords":201,"publishedAt":59},"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.","Apache-2.0","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",[198],{"categoryNo":199,"categoryName":200,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000009","前端开发",[202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217,218,219,220,221,222,223,38,224],"artifacts builder","web","web artifacts builder","artifacts","builder","state","routing","state management","component","css","frontend","ui","Tools","file","components","shadcn","react","Tailwind","suite","jsx","html","single-file","ui components",{"skillNo":226,"name":227,"nameZh":6,"description":228,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":194,"licenseFileUrl":229,"sourceHtmlUrl":230,"categories":231,"keywords":236,"publishedAt":59},"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",[232,235],{"categoryNo":233,"categoryName":234,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":199,"categoryName":200,"taxonomyType":21,"taxonomyTypeDesc":22},[237,238,239,240,241,203,242,212,213,243,244,245,246,38,247,125,248],"webapp testing","testing","webapp","browser","playwright","applications","debugging","toolkit","logs","screenshots","local","behavior",{"skillNo":250,"name":251,"nameZh":6,"description":252,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":194,"licenseFileUrl":253,"sourceHtmlUrl":254,"categories":255,"keywords":263,"publishedAt":59},"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",[256,259,260],{"categoryNo":257,"categoryName":258,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000018","写作与文案",{"categoryNo":114,"categoryName":115,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":261,"categoryName":262,"taxonomyType":32,"taxonomyTypeDesc":33},"01JBSEEDCAT000000000000036","内容创作者",[264,265,266,267,268,269,270,271,205,272,215,153,273,274,275,276,277,185,278,37,279,280,281,282,283,131,284],"discernment nudge","nudge","interpretation","help","run","reasoning","data","writing","lookup","content","review","conversation","short","up","invoke","you","analysis","claims","argument","assemble","recommendations"]