[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6F8TFBFS8DQ92QKBQHTGX9S":3,"skill-same:01M6F8TFBFS8DQ92QKBQHTGX9S":84},{"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":28,"publishedAt":49,"linkOnly":50,"markdownContent":51,"markdownBody":52,"frontMatter":53,"refName":61,"commitSha":62,"skillDirectory":63,"forksCount":64,"repositoryHtmlUrl":65,"repositoryHomepageUrl":66,"ownerHtmlUrl":67,"ownerBlogUrl":6,"ownerDescription":68,"updatedAt":69,"install":70,"resources":83},"01M6F8TFBFS8DQ92QKBQHTGX9S","coderabbit-core-workflow-b",null,"Tune CodeRabbit review configuration: learnings, code guidelines, and noise reduction.\nUse when fine-tuning review quality, training CodeRabbit with team preferences,\nadding code guidelines, or reducing false positives.\nTrigger with phrases like \"coderabbit tune reviews\", \"coderabbit learnings\",\n\"coderabbit guidelines\", \"reduce coderabbit noise\", \"coderabbit false positives\".","ComeOnOliver\u002Fskillshub","ComeOnOliver","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F43215937?v=4","01M6E5JNFECJAAVFE0W7SMWWD2","Haoran Shu","01M6E5JNNDQS7AJZDYFQ8TPZCK",67,"MIT","https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub\u002Fblob\u002Fmain\u002Fskills\u002Fjeremylongshore\u002Fclaude-code-plugins-plus-skills\u002Fcoderabbit-core-workflow-b\u002FSKILL.md",[18,23],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":26,"taxonomyTypeDesc":27},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48],"workflow","coderabbit core workflow b","core","coderabbit","write","reviews","coderabbit review","io","false","code guidelines","learnings","edit","openclaw","read","Bash","team","tuning","code","training","review","2026-11-10 10:12:30",false,"---\nname: coderabbit-core-workflow-b\ndescription: |\n  Tune CodeRabbit review configuration: learnings, code guidelines, and noise reduction.\n  Use when fine-tuning review quality, training CodeRabbit with team preferences,\n  adding code guidelines, or reducing false positives.\n  Trigger with phrases like \"coderabbit tune reviews\", \"coderabbit learnings\",\n  \"coderabbit guidelines\", \"reduce coderabbit noise\", \"coderabbit false positives\".\nallowed-tools: Read, Write, Edit, Bash(gh:*), Grep\nversion: 1.0.0\nlicense: MIT\nauthor: Jeremy Longshore \u003Cjeremy@intentsolutions.io>\ncompatible-with: claude-code, codex, openclaw\ntags: [saas, coderabbit, workflow, tuning, learnings]\n\n---\n# CodeRabbit Core Workflow B: Learnings & Tuning\n\n## Overview\nAfter initial CodeRabbit setup (Workflow A), this skill covers tuning review quality through learnings, code guidelines, tone customization, and noise reduction. CodeRabbit improves over time by learning from your team's feedback patterns and custom rules.\n\n## Prerequisites\n- CodeRabbit installed and producing reviews (see `coderabbit-core-workflow-a`)\n- Several PRs worth of review history\n- Understanding of team coding standards\n\n## Instructions\n\n### Step 1: Configure Code Guidelines\nCodeRabbit automatically detects coding rules from standard config files in your repo. It also reads AI agent configuration files for additional context.\n\n```yaml\n# Files CodeRabbit auto-detects for coding rules:\n# - .eslintrc.* \u002F eslint.config.*     (JavaScript\u002FTypeScript rules)\n# - .prettierrc \u002F prettier.config.*   (Formatting rules)\n# - biome.json \u002F biome.jsonc          (Biome linter rules)\n# - .cursorrules                      (Cursor AI rules)\n# - CLAUDE.md                         (Claude Code instructions)\n# - .editorconfig                     (Editor settings)\n# - .rubocop.yml                      (Ruby style)\n# - ruff.toml \u002F pyproject.toml        (Python rules)\n\n# Add custom guidelines file:\n# Create docs\u002FCODING_STANDARDS.md with your team's rules\n# Then reference it in .coderabbit.yaml:\n```\n\n```yaml\n# .coderabbit.yaml - Custom code guidelines\nreviews:\n  knowledge_base:\n    code_guidelines:\n      auto_detection: true          # Auto-detect from config files\n      custom_patterns:\n        - \"docs\u002FCODING_STANDARDS.md\"\n        - \"docs\u002FSECURITY_POLICY.md\"\n        - \"team\u002Fcode-style.txt\"\n```\n\n### Step 2: Train with Learnings via PR Feedback\nLearnings are enabled by default. CodeRabbit learns from your team's review interactions:\n\n```markdown\n# When CodeRabbit gives feedback you disagree with, reply:\n\"We intentionally use default exports in this project for Next.js pages.\nPlease don't flag default exports in files under src\u002Fpages\u002F.\"\n\n# CodeRabbit remembers this preference for future reviews.\n\n# When you want to reinforce a pattern, reply positively:\n\"Good catch! We always want to flag missing error boundaries in React components.\"\n\n# View current learnings in the CodeRabbit dashboard:\n# app.coderabbit.ai > Organization > Learnings\n```\n\n### Step 3: Customize Review Tone\n```yaml\n# .coderabbit.yaml - Tone configuration\ntone_instructions: |\n  Be concise and direct. Skip pleasantries.\n  Use bullet points for multiple suggestions.\n  Include code examples for non-obvious fixes.\n  Rate severity as: Critical > Warning > Suggestion > Nitpick.\n\n# Review profiles control comment volume:\nreviews:\n  profile: \"chill\"       # Fewer comments, only significant issues\n  # profile: \"assertive\" # Balanced (default, recommended for most teams)\n\n# Fun tone options (if your team appreciates them):\n# tone_instructions: \"Review like a wise but slightly sarcastic senior engineer.\"\n# tone_instructions: \"You must talk like a pirate. Arr!\"\n```\n\n### Step 4: Reduce False Positives\n```yaml\n# .coderabbit.yaml - Noise reduction strategies\nreviews:\n  # Skip paths that generate noise\n  path_filters:\n    - \"!**\u002F*.lock\"\n    - \"!**\u002F*.snap\"\n    - \"!**\u002F*.generated.*\"\n    - \"!**\u002Fmigrations\u002F*.sql\"    # DB migrations are reviewed manually\n    - \"!**\u002F__mocks__\u002F**\"\n    - \"!**\u002Ffixtures\u002F**\"\n    - \"!**\u002Ftestdata\u002F**\"\n\n  # Give context to prevent misguided comments\n  path_instructions:\n    - path: \"src\u002Flegacy\u002F**\"\n      instructions: |\n        This is legacy code being incrementally migrated.\n        Only flag security issues and bugs. Do NOT suggest refactoring.\n        Do NOT comment on naming conventions or code style.\n\n    - path: \"src\u002Fgenerated\u002F**\"\n      instructions: |\n        This code is auto-generated by protobuf\u002FGraphQL codegen.\n        Only review if there are manual modifications (check git blame).\n        Skip style and structure comments entirely.\n\n    - path: \"scripts\u002F**\"\n      instructions: |\n        These are one-off scripts. Do not enforce production code standards.\n        Only flag: security issues, destructive operations without confirmation,\n        and missing error handling on file\u002Fnetwork operations.\n\n  # Skip PRs from automated tools\n  auto_review:\n    ignore_title_keywords:\n      - \"chore: bump\"\n      - \"chore(deps)\"\n      - \"Bump version\"\n      - \"auto-generated\"\n```\n\n### Step 5: A\u002FB Test Review Profiles\n```yaml\n# Try different profiles to find the right signal-to-noise ratio:\n#\n# Week 1-2: Run \"assertive\" (default)\n# - Track: comments per PR, acceptance rate, developer satisfaction\n#\n# Week 3-4: Switch to \"chill\"\n# - Compare same metrics\n#\n# Decision framework:\n# - Acceptance rate \u003C 30%? → Profile too aggressive, switch to chill\n# - Acceptance rate > 70%? → Reviews are valued, keep current profile\n# - Developers ignoring reviews? → Too many nitpicks, switch to chill\n# - Security issues slipping through? → Switch to assertive\n```\n\n### Step 6: Monitor Review Effectiveness\n```bash\nset -euo pipefail\n# Check CodeRabbit comment acceptance rate on recent PRs\nORG=\"your-org\"\nREPO=\"your-repo\"\n\necho \"=== CodeRabbit Review Effectiveness ===\"\nfor PR in $(gh api \"repos\u002F$ORG\u002F$REPO\u002Fpulls?state=closed&per_page=20\" --jq '.[].number'); do\n  TOTAL=$(gh api \"repos\u002F$ORG\u002F$REPO\u002Fpulls\u002F$PR\u002Fcomments\" \\\n    --jq '[.[] | select(.user.login==\"coderabbitai[bot]\")] | length' 2>\u002Fdev\u002Fnull)\n  [ \"$TOTAL\" -gt 0 ] && echo \"PR #$PR: $TOTAL CodeRabbit comments\"\ndone\n```\n\n## Output\n- Code guidelines configured from team standards documents\n- Learnings trained through PR comment feedback\n- Review tone customized for team culture\n- False positives reduced through path filters and contextual instructions\n- Review effectiveness measured with acceptance rate metrics\n\n## Error Handling\n| Issue | Cause | Solution |\n|-------|-------|----------|\n| Reviews ignore custom rules | Guidelines file not referenced | Add path to `custom_patterns` in config |\n| Learnings not sticking | Organization-level vs repo-level | Check learnings scope in dashboard |\n| Too few comments | Profile set to \"chill\" | Switch to \"assertive\" for more thorough reviews |\n| Same issue flagged repeatedly | Learning not created | Reply explicitly stating the preference |\n| Tone instructions ignored | YAML formatting issue | Ensure `tone_instructions` is a proper string |\n\n## Resources\n- [Code Guidelines](https:\u002F\u002Fwww.coderabbit.ai\u002Fblog\u002Fcode-guidelines-bring-your-coding-rules-to-coderabbit)\n- [Knowledge Base](https:\u002F\u002Fdocs.coderabbit.ai\u002Fintegrations\u002Fknowledge-base)\n- [Tone Customization](https:\u002F\u002Fwww.coderabbit.ai\u002Fblog\u002Ftone-customizations-roast-your-code)\n- [Context Engineering](https:\u002F\u002Fwww.coderabbit.ai\u002Fblog\u002Fcontext-engineering-ai-code-reviews)\n\n## Next Steps\nFor common errors and troubleshooting, see `coderabbit-common-errors`.\n\n","# CodeRabbit Core Workflow B: Learnings & Tuning\n\n## Overview\nAfter initial CodeRabbit setup (Workflow A), this skill covers tuning review quality through learnings, code guidelines, tone customization, and noise reduction. CodeRabbit improves over time by learning from your team's feedback patterns and custom rules.\n\n## Prerequisites\n- CodeRabbit installed and producing reviews (see `coderabbit-core-workflow-a`)\n- Several PRs worth of review history\n- Understanding of team coding standards\n\n## Instructions\n\n### Step 1: Configure Code Guidelines\nCodeRabbit automatically detects coding rules from standard config files in your repo. It also reads AI agent configuration files for additional context.\n\n```yaml\n# Files CodeRabbit auto-detects for coding rules:\n# - .eslintrc.* \u002F eslint.config.*     (JavaScript\u002FTypeScript rules)\n# - .prettierrc \u002F prettier.config.*   (Formatting rules)\n# - biome.json \u002F biome.jsonc          (Biome linter rules)\n# - .cursorrules                      (Cursor AI rules)\n# - CLAUDE.md                         (Claude Code instructions)\n# - .editorconfig                     (Editor settings)\n# - .rubocop.yml                      (Ruby style)\n# - ruff.toml \u002F pyproject.toml        (Python rules)\n\n# Add custom guidelines file:\n# Create docs\u002FCODING_STANDARDS.md with your team's rules\n# Then reference it in .coderabbit.yaml:\n```\n\n```yaml\n# .coderabbit.yaml - Custom code guidelines\nreviews:\n  knowledge_base:\n    code_guidelines:\n      auto_detection: true          # Auto-detect from config files\n      custom_patterns:\n        - \"docs\u002FCODING_STANDARDS.md\"\n        - \"docs\u002FSECURITY_POLICY.md\"\n        - \"team\u002Fcode-style.txt\"\n```\n\n### Step 2: Train with Learnings via PR Feedback\nLearnings are enabled by default. CodeRabbit learns from your team's review interactions:\n\n```markdown\n# When CodeRabbit gives feedback you disagree with, reply:\n\"We intentionally use default exports in this project for Next.js pages.\nPlease don't flag default exports in files under src\u002Fpages\u002F.\"\n\n# CodeRabbit remembers this preference for future reviews.\n\n# When you want to reinforce a pattern, reply positively:\n\"Good catch! We always want to flag missing error boundaries in React components.\"\n\n# View current learnings in the CodeRabbit dashboard:\n# app.coderabbit.ai > Organization > Learnings\n```\n\n### Step 3: Customize Review Tone\n```yaml\n# .coderabbit.yaml - Tone configuration\ntone_instructions: |\n  Be concise and direct. Skip pleasantries.\n  Use bullet points for multiple suggestions.\n  Include code examples for non-obvious fixes.\n  Rate severity as: Critical > Warning > Suggestion > Nitpick.\n\n# Review profiles control comment volume:\nreviews:\n  profile: \"chill\"       # Fewer comments, only significant issues\n  # profile: \"assertive\" # Balanced (default, recommended for most teams)\n\n# Fun tone options (if your team appreciates them):\n# tone_instructions: \"Review like a wise but slightly sarcastic senior engineer.\"\n# tone_instructions: \"You must talk like a pirate. Arr!\"\n```\n\n### Step 4: Reduce False Positives\n```yaml\n# .coderabbit.yaml - Noise reduction strategies\nreviews:\n  # Skip paths that generate noise\n  path_filters:\n    - \"!**\u002F*.lock\"\n    - \"!**\u002F*.snap\"\n    - \"!**\u002F*.generated.*\"\n    - \"!**\u002Fmigrations\u002F*.sql\"    # DB migrations are reviewed manually\n    - \"!**\u002F__mocks__\u002F**\"\n    - \"!**\u002Ffixtures\u002F**\"\n    - \"!**\u002Ftestdata\u002F**\"\n\n  # Give context to prevent misguided comments\n  path_instructions:\n    - path: \"src\u002Flegacy\u002F**\"\n      instructions: |\n        This is legacy code being incrementally migrated.\n        Only flag security issues and bugs. Do NOT suggest refactoring.\n        Do NOT comment on naming conventions or code style.\n\n    - path: \"src\u002Fgenerated\u002F**\"\n      instructions: |\n        This code is auto-generated by protobuf\u002FGraphQL codegen.\n        Only review if there are manual modifications (check git blame).\n        Skip style and structure comments entirely.\n\n    - path: \"scripts\u002F**\"\n      instructions: |\n        These are one-off scripts. Do not enforce production code standards.\n        Only flag: security issues, destructive operations without confirmation,\n        and missing error handling on file\u002Fnetwork operations.\n\n  # Skip PRs from automated tools\n  auto_review:\n    ignore_title_keywords:\n      - \"chore: bump\"\n      - \"chore(deps)\"\n      - \"Bump version\"\n      - \"auto-generated\"\n```\n\n### Step 5: A\u002FB Test Review Profiles\n```yaml\n# Try different profiles to find the right signal-to-noise ratio:\n#\n# Week 1-2: Run \"assertive\" (default)\n# - Track: comments per PR, acceptance rate, developer satisfaction\n#\n# Week 3-4: Switch to \"chill\"\n# - Compare same metrics\n#\n# Decision framework:\n# - Acceptance rate \u003C 30%? → Profile too aggressive, switch to chill\n# - Acceptance rate > 70%? → Reviews are valued, keep current profile\n# - Developers ignoring reviews? → Too many nitpicks, switch to chill\n# - Security issues slipping through? → Switch to assertive\n```\n\n### Step 6: Monitor Review Effectiveness\n```bash\nset -euo pipefail\n# Check CodeRabbit comment acceptance rate on recent PRs\nORG=\"your-org\"\nREPO=\"your-repo\"\n\necho \"=== CodeRabbit Review Effectiveness ===\"\nfor PR in $(gh api \"repos\u002F$ORG\u002F$REPO\u002Fpulls?state=closed&per_page=20\" --jq '.[].number'); do\n  TOTAL=$(gh api \"repos\u002F$ORG\u002F$REPO\u002Fpulls\u002F$PR\u002Fcomments\" \\\n    --jq '[.[] | select(.user.login==\"coderabbitai[bot]\")] | length' 2>\u002Fdev\u002Fnull)\n  [ \"$TOTAL\" -gt 0 ] && echo \"PR #$PR: $TOTAL CodeRabbit comments\"\ndone\n```\n\n## Output\n- Code guidelines configured from team standards documents\n- Learnings trained through PR comment feedback\n- Review tone customized for team culture\n- False positives reduced through path filters and contextual instructions\n- Review effectiveness measured with acceptance rate metrics\n\n## Error Handling\n| Issue | Cause | Solution |\n|-------|-------|----------|\n| Reviews ignore custom rules | Guidelines file not referenced | Add path to `custom_patterns` in config |\n| Learnings not sticking | Organization-level vs repo-level | Check learnings scope in dashboard |\n| Too few comments | Profile set to \"chill\" | Switch to \"assertive\" for more thorough reviews |\n| Same issue flagged repeatedly | Learning not created | Reply explicitly stating the preference |\n| Tone instructions ignored | YAML formatting issue | Ensure `tone_instructions` is a proper string |\n\n## Resources\n- [Code Guidelines](https:\u002F\u002Fwww.coderabbit.ai\u002Fblog\u002Fcode-guidelines-bring-your-coding-rules-to-coderabbit)\n- [Knowledge Base](https:\u002F\u002Fdocs.coderabbit.ai\u002Fintegrations\u002Fknowledge-base)\n- [Tone Customization](https:\u002F\u002Fwww.coderabbit.ai\u002Fblog\u002Ftone-customizations-roast-your-code)\n- [Context Engineering](https:\u002F\u002Fwww.coderabbit.ai\u002Fblog\u002Fcontext-engineering-ai-code-reviews)\n\n## Next Steps\nFor common errors and troubleshooting, see `coderabbit-common-errors`.\n\n",{"name":5,"tags":54,"author":56,"license":15,"version":57,"description":58,"allowed-tools":59,"compatible-with":60},[55,32,29,45,39],"saas","Jeremy Longshore \u003Cjeremy@intentsolutions.io>","1.0.0","Tune CodeRabbit review configuration: learnings, code guidelines, and noise reduction.\nUse when fine-tuning review quality, training CodeRabbit with team preferences,\nadding code guidelines, or reducing false positives.\nTrigger with phrases like \"coderabbit tune reviews\", \"coderabbit learnings\",\n\"coderabbit guidelines\", \"reduce coderabbit noise\", \"coderabbit false positives\".\n","Read, Write, Edit, Bash(gh:*), Grep","claude-code, codex, openclaw","main","def8531e65114c0fca8fb8551c1871ee0eed705c","skills\u002Fjeremylongshore\u002Fclaude-code-plugins-plus-skills\u002Fcoderabbit-core-workflow-b",24,"https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub","https:\u002F\u002Fskillshub.wtf","https:\u002F\u002Fgithub.com\u002FComeOnOliver","AI & Blockchain Engineer\r\n","2026-06-24 22:07:19",{"source":8,"skillName":5,"commands":71,"prompt":81,"zipAvailable":82},[72,75,78],{"tool":73,"command":74},"npx","npx skills add ComeOnOliver\u002Fskillshub --skill coderabbit-core-workflow-b",{"tool":76,"command":77},"bunx","bunx skills add ComeOnOliver\u002Fskillshub --skill coderabbit-core-workflow-b",{"tool":79,"command":80},"pnpm","pnpm dlx skills add ComeOnOliver\u002Fskillshub --skill coderabbit-core-workflow-b","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub\u002Fblob\u002Fmain\u002Fskills\u002Fjeremylongshore\u002Fclaude-code-plugins-plus-skills\u002Fcoderabbit-core-workflow-b\u002FSKILL.md",true,[],[85,95,105,114,120,127],{"skillNo":86,"name":87,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":88,"categories":89,"keywords":91,"publishedAt":49},"01M6FKJN13GMG4KY57J3QD8GY5","model-hierarchy-skill","https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub\u002Fblob\u002Fmain\u002Fskills\u002Fzscole\u002Fmodel-hierarchy-skill\u002Fmodel-hierarchy-skill\u002FSKILL.md",[90],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[92,93,94],"model","model hierarchy","model hierarchy skill",{"skillNo":96,"name":97,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":98,"categories":99,"keywords":101,"publishedAt":49},"01M6FKJJJ6GCAMR4PPPRD12M5X","zoom-mcp","https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub\u002Fblob\u002Fmain\u002Fskills\u002Fzoom\u002Fskills\u002Fzoom-mcp\u002FSKILL.md",[100],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[102,103,104],"MCP","zoom","zoom mcp",{"skillNo":106,"name":107,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":108,"categories":109,"keywords":110,"publishedAt":49},"01M6FKJE3KYT3KPEZMEEHYKA6K","zoom-apps-sdk","https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub\u002Fblob\u002Fmain\u002Fskills\u002Fzoom\u002Fskills\u002Fzoom-apps-sdk\u002FSKILL.md",[],[111,112,113,103],"sdk","zoom apps sdk","apps",{"skillNo":115,"name":116,"nameZh":6,"description":6,"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":119,"publishedAt":49},"01M6FKJ9EDH9Q5VWDF8HAJRSP0","windows","https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub\u002Fblob\u002Fmain\u002Fskills\u002Fzoom\u002Fskills\u002Fwindows\u002FSKILL.md",[],[116],{"skillNo":121,"name":122,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":123,"categories":124,"keywords":126,"publishedAt":49},"01M6FKJ666BEEFC3AE9GJ72Q93","whiteboard","https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub\u002Fblob\u002Fmain\u002Fskills\u002Fzoom\u002Fskills\u002Fwhiteboard\u002FSKILL.md",[125],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[122],{"skillNo":128,"name":129,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":130,"categories":131,"keywords":132,"publishedAt":49},"01M6FKJ21WFCDGTJQ2Q91T9DVW","websockets","https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub\u002Fblob\u002Fmain\u002Fskills\u002Fzoom\u002Fskills\u002Fwebsockets\u002FSKILL.md",[],[129]]