[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6ADXE7Q2BMG6DZMY5FX3C62":3,"skill-same:01M6ADXE7Q2BMG6DZMY5FX3C62":78},{"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":18,"publishedAt":33,"linkOnly":34,"markdownContent":35,"markdownBody":36,"frontMatter":37,"refName":38,"commitSha":39,"skillDirectory":40,"forksCount":41,"repositoryHtmlUrl":42,"repositoryHomepageUrl":43,"ownerHtmlUrl":44,"ownerBlogUrl":45,"ownerDescription":46,"updatedAt":47,"install":48,"resources":61},"01M6ADXE7Q2BMG6DZMY5FX3C62","optimize-simplicite-logs",null,"capability to parse Simplicité logs from a raw `.txt` file, filter fields to reduce noise, and output the result as structured JSON.","github\u002Fawesome-copilot","github","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F9919?v=4","01M6AC83DS133TPXFSP1DHNCC6","GitHub","01M6AD3PBDYPK7NVFJNJ66Y8RS",41081,"MIT","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Foptimize-simplicite-logs\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32],"logs","optimize simplicite logs","optimize","file","json","structured","as","filter","output","reduce","capability","result","fields","parse","2026-11-10 10:12:30",false,"---\nname: optimize-simplicite-logs\ndescription: capability to parse Simplicité logs from a raw `.txt` file, filter fields to reduce noise, and output the result as structured JSON.\n---\n\n# Optimize Simplicite Logs\n\nThis skill provides the capability to parse Simplicité logs from a raw `.txt` file, filter fields to reduce noise, and output the result as structured JSON. This is critical for optimizing AI context size (saving ~56% of tokens) and providing structured, predictable data for troubleshooting.\n\n## When to Use This Skill\n\nUse this skill when you need to:\n- Analyze user-provided Simplicité log files in `.txt` format.\n- Avoid ingesting massive raw log files into your context window.\n- Extract structured fields (like `timestamp`, `level`, `body`) from verbose multi-line log output.\n\n**IMPORTANT:** Instead of directly reading a raw `.txt` log file provided by the user using file read tools, you **must** use one of the log converter scripts (PowerShell or Python) to parse the file into a JSON format first, optionally extracting only the fields needed.\n\n## Prerequisites\n\n- Access to either the PowerShell script (`\u002Fscripts\u002FSimpliciteLog2Json.ps1`) or the Python script (`\u002Fscripts\u002Fsimplicite-log2json.py`).\n\n## Core Capabilities\n\n### 1. Context Optimization\nReduces the tokens consumed by large Simplicité logs by extracting only relevant log fields (e.g. `body`, `timestamp`, `level`) and discarding non-relevant structural log data (like `app`, `endpoint`, `contextPath`).\n\n### 2. Multi-line Support\nProperly captures stack traces and multiline errors inside the `body` field of the JSON structure, which a simple text search might miss.\n\n### 3. Stdout Support\nIf no output path is provided for the JSON file (e.g. omitting `--output` or `-Output`), the parsed JSON will be printed directly to stdout, allowing you to pipe the output to other tools.\n\n## Output Summary\n\nAfter processing, the tool prints a summary to stderr (or console):\n```\nProcessed: 123 entries, Skipped: 2 entries\n```\n\n## Usage Examples\n\n### Example 1: Python Version (Recommended)\nConvert a log file to JSON, keeping only the most important fields:\n```sh\npython \u002Fabsolute\u002Fpath\u002Fto\u002Fskills\u002Foptimize-simplicite-logs\u002Fscripts\u002Fsimplicite-log2json.py \u003Cinput.txt> --include timestamp,level,body --output \u003Coutput.json>\n```\n\n### Example 2: PowerShell Version\n```powershell\n\u002Fpython \u002Fabsolute\u002Fpath\u002Fto\u002Fskills\u002Foptimize-simplicite-logs\u002Fscripts\u002FSimpliciteLog2Json.ps1 -InputPath \"\u003Cinput.txt>\" -Output \"\u003Coutput.json>\" -Include \"body,timestamp,level\"\n```\n\nAfter generating the `\u003Coutput.json>`, you can safely read the resulting file to perform your analysis.\n\n## Guidelines\n\n1. **Always Convert First:** Never directly read `.txt` log files from Simplicité using standard text reading tools. Always convert them to JSON using the available scripts.\n2. **Filter Fields:** Use `--include` (Python) or `-Include` (PowerShell) to restrict fields to what is absolutely necessary to diagnose the issue (usually `timestamp,level,body`).\n3. **Available Fields:** The fields you can filter include: `timestamp`, `app`, `level`, `endpoint`, `contextPath`, `event`, `user`, `class`, `function`, `rowId`, `body`.\n\n## Common Patterns\n\n### Pattern: Fast Contextual Troubleshooting\n```sh\n# 1. Run the script to generate a minified JSON output in the current directory\npython \u002Fabsolute\u002Fpath\u002Fto\u002Fskills\u002Foptimize-simplicite-logs\u002Fscripts\u002Fsimplicite-log2json.py logs.txt --include timestamp,level,body --output logs_minified.json\n\n# 2. Then read logs_minified.json to understand the context.\n```\n\n## Limitations\n\n- The parser depends on a fixed regex pattern that matches the standard Simplicité log output. If the log format has been heavily customized, parsing might fail or degrade.\n","# Optimize Simplicite Logs\n\nThis skill provides the capability to parse Simplicité logs from a raw `.txt` file, filter fields to reduce noise, and output the result as structured JSON. This is critical for optimizing AI context size (saving ~56% of tokens) and providing structured, predictable data for troubleshooting.\n\n## When to Use This Skill\n\nUse this skill when you need to:\n- Analyze user-provided Simplicité log files in `.txt` format.\n- Avoid ingesting massive raw log files into your context window.\n- Extract structured fields (like `timestamp`, `level`, `body`) from verbose multi-line log output.\n\n**IMPORTANT:** Instead of directly reading a raw `.txt` log file provided by the user using file read tools, you **must** use one of the log converter scripts (PowerShell or Python) to parse the file into a JSON format first, optionally extracting only the fields needed.\n\n## Prerequisites\n\n- Access to either the PowerShell script (`\u002Fscripts\u002FSimpliciteLog2Json.ps1`) or the Python script (`\u002Fscripts\u002Fsimplicite-log2json.py`).\n\n## Core Capabilities\n\n### 1. Context Optimization\nReduces the tokens consumed by large Simplicité logs by extracting only relevant log fields (e.g. `body`, `timestamp`, `level`) and discarding non-relevant structural log data (like `app`, `endpoint`, `contextPath`).\n\n### 2. Multi-line Support\nProperly captures stack traces and multiline errors inside the `body` field of the JSON structure, which a simple text search might miss.\n\n### 3. Stdout Support\nIf no output path is provided for the JSON file (e.g. omitting `--output` or `-Output`), the parsed JSON will be printed directly to stdout, allowing you to pipe the output to other tools.\n\n## Output Summary\n\nAfter processing, the tool prints a summary to stderr (or console):\n```\nProcessed: 123 entries, Skipped: 2 entries\n```\n\n## Usage Examples\n\n### Example 1: Python Version (Recommended)\nConvert a log file to JSON, keeping only the most important fields:\n```sh\npython \u002Fabsolute\u002Fpath\u002Fto\u002Fskills\u002Foptimize-simplicite-logs\u002Fscripts\u002Fsimplicite-log2json.py \u003Cinput.txt> --include timestamp,level,body --output \u003Coutput.json>\n```\n\n### Example 2: PowerShell Version\n```powershell\n\u002Fpython \u002Fabsolute\u002Fpath\u002Fto\u002Fskills\u002Foptimize-simplicite-logs\u002Fscripts\u002FSimpliciteLog2Json.ps1 -InputPath \"\u003Cinput.txt>\" -Output \"\u003Coutput.json>\" -Include \"body,timestamp,level\"\n```\n\nAfter generating the `\u003Coutput.json>`, you can safely read the resulting file to perform your analysis.\n\n## Guidelines\n\n1. **Always Convert First:** Never directly read `.txt` log files from Simplicité using standard text reading tools. Always convert them to JSON using the available scripts.\n2. **Filter Fields:** Use `--include` (Python) or `-Include` (PowerShell) to restrict fields to what is absolutely necessary to diagnose the issue (usually `timestamp,level,body`).\n3. **Available Fields:** The fields you can filter include: `timestamp`, `app`, `level`, `endpoint`, `contextPath`, `event`, `user`, `class`, `function`, `rowId`, `body`.\n\n## Common Patterns\n\n### Pattern: Fast Contextual Troubleshooting\n```sh\n# 1. Run the script to generate a minified JSON output in the current directory\npython \u002Fabsolute\u002Fpath\u002Fto\u002Fskills\u002Foptimize-simplicite-logs\u002Fscripts\u002Fsimplicite-log2json.py logs.txt --include timestamp,level,body --output logs_minified.json\n\n# 2. Then read logs_minified.json to understand the context.\n```\n\n## Limitations\n\n- The parser depends on a fixed regex pattern that matches the standard Simplicité log output. If the log format has been heavily customized, parsing might fail or degrade.\n",{"name":5,"description":7},"main","5269f7ea2d6c3a9bfda5ed878b6726cf509121fd","skills\u002Foptimize-simplicite-logs",5344,"https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot","https:\u002F\u002Fawesome-copilot.github.com\u002F","https:\u002F\u002Fgithub.com\u002Fgithub","https:\u002F\u002Fgithub.com\u002Fabout","How people build software.","2026-11-13 02:05:36",{"source":8,"skillName":5,"commands":49,"prompt":59,"zipAvailable":60},[50,53,56],{"tool":51,"command":52},"npx","npx skills add github\u002Fawesome-copilot --skill optimize-simplicite-logs",{"tool":54,"command":55},"bunx","bunx skills add github\u002Fawesome-copilot --skill optimize-simplicite-logs",{"tool":57,"command":58},"pnpm","pnpm dlx skills add github\u002Fawesome-copilot --skill optimize-simplicite-logs","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Foptimize-simplicite-logs\u002FSKILL.md",true,[62,68,72],{"path":63,"resourceType":64,"resourceTypeDesc":65,"sizeBytes":66,"sourceHtmlUrl":67},"scripts\u002Fsimplicite-log2json.py","SCRIPT","脚本",4491,"https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Foptimize-simplicite-logs\u002Fscripts\u002Fsimplicite-log2json.py",{"path":69,"resourceType":64,"resourceTypeDesc":65,"sizeBytes":70,"sourceHtmlUrl":71},"scripts\u002FSimpliciteLog2Json.ps1",4284,"https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Foptimize-simplicite-logs\u002Fscripts\u002FSimpliciteLog2Json.ps1",{"path":73,"resourceType":74,"resourceTypeDesc":75,"sizeBytes":76,"sourceHtmlUrl":77},"SKILL.md.tmpl","OTHER","其他",23629,"https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fgstack\u002Fsync-gbrain\u002FSKILL.md.tmpl",[79,113,140,170,203,220],{"skillNo":80,"name":81,"nameZh":6,"description":82,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":83,"categories":84,"keywords":93,"publishedAt":33},"01M70KXZNX9ES38N2A8M58ZZMZ","supabase-rls-policies","Write, review, and test Supabase Row Level Security (RLS) policies so that one user cannot read or change another user's rows. Use when creating or changing tables, policies, views, or security definer functions in a Supabase project, when reviewing a migration that touches RLS, or when asked to prove user isolation with pgTAP tests that sign in as two users.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fsupabase-rls-policies\u002FSKILL.md",[85,90],{"categoryNo":86,"categoryName":87,"taxonomyType":88,"taxonomyTypeDesc":89},"01JBSEEDCAT000000000000008","测试与质量","SCENARIO","使用场景",{"categoryNo":91,"categoryName":92,"taxonomyType":88,"taxonomyTypeDesc":89},"01JBSEEDCAT000000000000023","Skill与智能体开发",[94,95,96,97,98,99,100,101,102,103,104,105,106,25,107,108,109,110,111,112],"supabase","rls","supabase rls","supabase rls policies","project","when","review","change","read","write","security","isolation","tables","tests","prove","use","users","functions","with",{"skillNo":114,"name":115,"nameZh":6,"description":116,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":117,"categories":118,"keywords":120,"publishedAt":33},"01M70KWA5YWXDV6V8DZ19E3T2Y","skill-distribution-audit","Audit a skill collection before release or investigate installer omissions, archived\u002Ftemplate leakage, duplicate identities, and manifest drift. Reconcile the intended public source set, distribution manifest, and actual discovery output for a specified consumer version. Includes a deterministic set-comparison helper.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fskill-distribution-audit\u002FSKILL.md",[119],{"categoryNo":91,"categoryName":92,"taxonomyType":88,"taxonomyTypeDesc":89},[121,122,123,124,125,126,127,128,129,130,131,132,133,134,27,135,136,137,138,139],"distribution","skill distribution audit","audit","SET","deterministic","installer","for","discovery","comparison","helper","manifest","version","collection","drift","investigate","duplicate","template","release","reconcile",{"skillNo":141,"name":142,"nameZh":6,"description":143,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":144,"sourceHtmlUrl":145,"categories":146,"keywords":152,"publishedAt":33},"01M70KCJPFVW7PPQ49CC5R8JGK","logicapps-custom-code-net10-migration","Migrate Azure Logic Apps Standard local-function custom-code projects from .NET 8 to .NET 10. Use for legacy Logic Apps custom-code workspace upgrades, project\u002Fpackage configuration, custom-worker settings, publication, and integrated VS Code debugging. Not for ordinary .NET applications, standalone Azure Functions, Consumption workflows, or cloud deployment.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Flogicapps-custom-code-net10-migration\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Flogicapps-custom-code-net10-migration\u002FSKILL.md",[147],{"categoryNo":148,"categoryName":149,"taxonomyType":150,"taxonomyTypeDesc":151},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[153,154,155,156,157,158,127,98,159,160,161,162,163,164,165,109,166,167,168,169],"custom","code","logicapps custom code net10 migration","migration","projects","standalone","deployment","applications","local","azure","worker","upgrades","package","apps","Legacy","debugging","workflows",{"skillNo":171,"name":172,"nameZh":6,"description":173,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":174,"sourceHtmlUrl":175,"categories":176,"keywords":181,"publishedAt":33},"01M6AEBN37RQMXJ3298PEY7PG1","winmd-api-search","Find and explore Windows desktop APIs. Use when building features that need platform capabilities — camera, file access, notifications, UI controls, AI\u002FML, sensors, networking, etc. Discovers the right API for a task and retrieves full type details (methods, properties, events, enumeration values).","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fwinmd-api-search\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fwinmd-api-search\u002FSKILL.md",[177,180],{"categoryNo":178,"categoryName":179,"taxonomyType":88,"taxonomyTypeDesc":89},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":148,"categoryName":149,"taxonomyType":150,"taxonomyTypeDesc":151},[182,183,184,185,186,187,188,189,190,22,191,192,193,194,195,99,196,197,198,199,200,127,201,202],"winmd api search","search","api","windows","desktop","file access","enumeration","ui","ml","networking","capabilities","notifications","explore","access","features","full","camera","events","platform","methods","controls",{"skillNo":204,"name":205,"nameZh":6,"description":206,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":207,"licenseFileUrl":208,"sourceHtmlUrl":209,"categories":210,"keywords":216,"publishedAt":33},"01M6AE571R3SC1ZGE202B3NB5S","resemble-detect","Deepfake detection and media safety — detect AI-generated audio, images, video, and text, trace synthesis sources, apply watermarks, verify speaker identity, and analyze media intelligence using Resemble AI","Apache-2.0","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fresemble-detect\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fresemble-detect\u002FSKILL.md",[211,212,215],{"categoryNo":178,"categoryName":179,"taxonomyType":88,"taxonomyTypeDesc":89},{"categoryNo":213,"categoryName":214,"taxonomyType":88,"taxonomyTypeDesc":89},"01JBSEEDCAT000000000000016","图像与多媒体",{"categoryNo":91,"categoryName":92,"taxonomyType":88,"taxonomyTypeDesc":89},[217,124,22,218,219],"resemble detect","https","identity",{"skillNo":221,"name":222,"nameZh":6,"description":223,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":207,"licenseFileUrl":224,"sourceHtmlUrl":225,"categories":226,"keywords":231,"publishedAt":33},"01M6AE30BSK2HCY4TQQ22Z8JRD","quality-playbook","Run a complete quality engineering audit on any codebase. Derives behavioral requirements from the code, generates spec-traced functional tests, runs a three-pass code review with regression tests, executes a multi-model spec audit (Council of Three), and produces a consolidated bug report with TDD-verified patches. Finds the 35% of real defects that structural code review alone cannot catch. Works with any language. Trigger on 'quality playbook', 'spec audit', 'Council of Three', 'fitness-to-purpose', or 'coverage theater'.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fquality-playbook\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fquality-playbook\u002FSKILL.md",[227,230],{"categoryNo":228,"categoryName":229,"taxonomyType":88,"taxonomyTypeDesc":89},"01JBSEEDCAT000000000000007","代码审查",{"categoryNo":91,"categoryName":92,"taxonomyType":88,"taxonomyTypeDesc":89},[232,233,234,235,154,100,9,123,236,237,218,238,239,240,241,242,243,244,245,246,247,248,107,249,250,251,252],"playbook","quality playbook","quality","code review","tdd","run","report","spec","bug report","council","engineering","functional","spec audit","bug","verified","multi-model","three","coverage","model","regression","structural"]