[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M73FY3VXA3PMSCHV1HJS7VFH":3,"skill-same:01M73FY3VXA3PMSCHV1HJS7VFH":70},{"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":19,"linkOnly":20,"markdownContent":21,"markdownBody":22,"frontMatter":23,"refName":46,"commitSha":47,"skillDirectory":48,"forksCount":49,"repositoryHtmlUrl":50,"repositoryHomepageUrl":51,"ownerHtmlUrl":52,"ownerBlogUrl":53,"ownerDescription":54,"updatedAt":55,"install":56,"resources":69},"01M73FY3VXA3PMSCHV1HJS7VFH","squirrel",null,"Full-cycle AI coding skill: plans, builds, tests, lints, fixes bugs, and writes production-grade docs. Auto-detects project state and adapts its 8-phase pipeline.","Horonomos-laps\u002FYana-AI","Horonomos-laps","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F355299122?v=4","01M76B3QPXE88ET2SQPDPVATZT"," Horonomos-laps","01M72ZQRJPCYPSSWT4D00VJR2A",13,"Apache-2.0","https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002Fcore\u002Fskills\u002Fsquirrel\u002FSKILL.md",[],[],"2026-11-11 15:11:14",false,"---\nname: squirrel\ndescription: \"Full-cycle AI coding skill: plans, builds, tests, lints, fixes bugs, and writes production-grade docs. Auto-detects project state and adapts its 8-phase pipeline.\"\ncategory: development\nrisk: safe\nsource: community\nsource_repo: flyingsquirrel0419\u002Fsquirrel-skill\nsource_type: community\nlicense: \"Apache-2.0\"\nlicense_source: \"https:\u002F\u002Fgithub.com\u002Fflyingsquirrel0419\u002Fsquirrel-skill\u002Fblob\u002Fmain\u002FLICENSE\"\ndate_added: \"2026-04-29\"\nauthor: flying_squirrel__\ntags: [development, testing, planning, code-review, documentation, ci-cd]\ntools: [claude, cursor, codex, antigravity, gemini, windsurf, opencode, copilot]\n---\n\n# Squirrel — Full-Cycle Software Development Skill\n\n## Overview\n\nSquirrel is a full-cycle AI coding skill that works across 9 AI coding agents. It auto-detects project state (greenfield, in-progress, or mature) and adapts its 8-phase engineering pipeline accordingly. Instead of a one-size-fits-all workflow, it figures out where the project actually is and jumps in at exactly the right point.\n\n## When to Use This Skill\n\n- Use when starting a new project from scratch (greenfield)\n- Use when improving an existing codebase (in-progress or mature)\n- Use when fixing bugs, adding features, or refactoring\n- Use when adding tests, linting, or CI\u002FCD to a project\n- Use when writing production-grade documentation\n- Use when the user says \"build me\", \"fix this\", \"squirrel this project\", or any multi-step development task\n\n## How It Works\n\n### Step 0: Detect Mode\n\nSquirrel classifies the project directory:\n\n| Signal | Mode | Entry Point |\n|--------|------|-------------|\n| Empty directory | Greenfield | All 8 phases from scratch |\n| Source files, no tests\u002Fdocs | In-Progress | Audit first, then improve |\n| Source + tests + CI + README | Mature | Targeted improvements |\n| \"fix this bug \u002F add feature\" | Targeted | Scoped work only |\n\n### The 8-Phase Pipeline\n\n1. **Discover** — Understand the project (audit existing code or gather requirements)\n2. **Plan** — Concrete task list with dependencies and done-criteria\n3. **Build** — Write or modify code (parallel sub-agents when supported)\n4. **Test** — Run existing tests, write new ones, 70%+ coverage target\n5. **Bug Hunt** — Static analysis + manual review\n6. **Polish** — Lint, format, type check, remove dead code\n7. **Document** — README + inline docs (update existing, don't overwrite)\n8. **Ship** — Final checklist: tests green, no secrets, CI configured\n\n### Failure Recovery (3-Strike Rule)\n\n1. **Strike 1:** Fix the specific error. Run tests. Move on.\n2. **Strike 2:** Re-read the code. Try a different approach.\n3. **Strike 3:** STOP. Revert. Document what failed. Ask the user.\n\n## Examples\n\n### Example 1: Build a REST API\n\n```text\n> build me a REST API for a todo app with TypeScript and Express\n```\n\nSquirrel auto-detects greenfield mode and runs all 8 phases.\n\n### Example 2: Fix a bug\n\n```text\n> fix this bug in src\u002Fauth\u002Flogin.py\n```\n\nSquirrel enters targeted mode — abbreviated audit, scoped fix, verify.\n\n### Example 3: Improve existing project\n\n```text\n> squirrel this project — add tests, fix lint errors, write README\n```\n\nSquirrel audits the existing codebase, then applies phases 4-8.\n\n## Best Practices\n\n- Respects existing code — matches naming conventions, test framework, import style, and architecture\n- Reads 2-3 similar files before writing a new one\n- Never suppresses type errors with `as any` or `@ts-ignore`\n- Never deletes failing tests to \"pass\"\n- Never leaves code in a broken state\n\n## Platform Compatibility\n\nSquirrel works on: Claude Code, Codex, Cursor, Antigravity, Gemini CLI, GitHub Copilot, Windsurf, OpenCode, Aider (9 total).\n\nInstall with:\n\n```bash\n# Universal installer\nnpx skills add flyingsquirrel0419\u002Fsquirrel-skill\n\n```\n\n## Limitations\n\n- Does not replace environment-specific validation or expert review\n- CI\u002FCD templates are starting points, not drop-in guarantees\n- Parallel sub-agent execution depends on platform support\n\n## Related Skills\n\n- `@brainstorming` - For planning before implementation\n- `@test-driven-development` - For TDD-oriented workflows\n- `@systematic-debugging` - For methodical problem-solving\n","# Squirrel — Full-Cycle Software Development Skill\n\n## Overview\n\nSquirrel is a full-cycle AI coding skill that works across 9 AI coding agents. It auto-detects project state (greenfield, in-progress, or mature) and adapts its 8-phase engineering pipeline accordingly. Instead of a one-size-fits-all workflow, it figures out where the project actually is and jumps in at exactly the right point.\n\n## When to Use This Skill\n\n- Use when starting a new project from scratch (greenfield)\n- Use when improving an existing codebase (in-progress or mature)\n- Use when fixing bugs, adding features, or refactoring\n- Use when adding tests, linting, or CI\u002FCD to a project\n- Use when writing production-grade documentation\n- Use when the user says \"build me\", \"fix this\", \"squirrel this project\", or any multi-step development task\n\n## How It Works\n\n### Step 0: Detect Mode\n\nSquirrel classifies the project directory:\n\n| Signal | Mode | Entry Point |\n|--------|------|-------------|\n| Empty directory | Greenfield | All 8 phases from scratch |\n| Source files, no tests\u002Fdocs | In-Progress | Audit first, then improve |\n| Source + tests + CI + README | Mature | Targeted improvements |\n| \"fix this bug \u002F add feature\" | Targeted | Scoped work only |\n\n### The 8-Phase Pipeline\n\n1. **Discover** — Understand the project (audit existing code or gather requirements)\n2. **Plan** — Concrete task list with dependencies and done-criteria\n3. **Build** — Write or modify code (parallel sub-agents when supported)\n4. **Test** — Run existing tests, write new ones, 70%+ coverage target\n5. **Bug Hunt** — Static analysis + manual review\n6. **Polish** — Lint, format, type check, remove dead code\n7. **Document** — README + inline docs (update existing, don't overwrite)\n8. **Ship** — Final checklist: tests green, no secrets, CI configured\n\n### Failure Recovery (3-Strike Rule)\n\n1. **Strike 1:** Fix the specific error. Run tests. Move on.\n2. **Strike 2:** Re-read the code. Try a different approach.\n3. **Strike 3:** STOP. Revert. Document what failed. Ask the user.\n\n## Examples\n\n### Example 1: Build a REST API\n\n```text\n> build me a REST API for a todo app with TypeScript and Express\n```\n\nSquirrel auto-detects greenfield mode and runs all 8 phases.\n\n### Example 2: Fix a bug\n\n```text\n> fix this bug in src\u002Fauth\u002Flogin.py\n```\n\nSquirrel enters targeted mode — abbreviated audit, scoped fix, verify.\n\n### Example 3: Improve existing project\n\n```text\n> squirrel this project — add tests, fix lint errors, write README\n```\n\nSquirrel audits the existing codebase, then applies phases 4-8.\n\n## Best Practices\n\n- Respects existing code — matches naming conventions, test framework, import style, and architecture\n- Reads 2-3 similar files before writing a new one\n- Never suppresses type errors with `as any` or `@ts-ignore`\n- Never deletes failing tests to \"pass\"\n- Never leaves code in a broken state\n\n## Platform Compatibility\n\nSquirrel works on: Claude Code, Codex, Cursor, Antigravity, Gemini CLI, GitHub Copilot, Windsurf, OpenCode, Aider (9 total).\n\nInstall with:\n\n```bash\n# Universal installer\nnpx skills add flyingsquirrel0419\u002Fsquirrel-skill\n\n```\n\n## Limitations\n\n- Does not replace environment-specific validation or expert review\n- CI\u002FCD templates are starting points, not drop-in guarantees\n- Parallel sub-agent execution depends on platform support\n\n## Related Skills\n\n- `@brainstorming` - For planning before implementation\n- `@test-driven-development` - For TDD-oriented workflows\n- `@systematic-debugging` - For methodical problem-solving\n",{"name":5,"risk":24,"tags":25,"tools":32,"author":41,"source":42,"license":15,"category":26,"date_added":43,"description":7,"source_repo":44,"source_type":42,"license_source":45},"safe",[26,27,28,29,30,31],"development","testing","planning","code-review","documentation","ci-cd",[33,34,35,36,37,38,39,40],"claude","cursor","codex","antigravity","gemini","windsurf","opencode","copilot","flying_squirrel__","community","2026-04-29","flyingsquirrel0419\u002Fsquirrel-skill","https:\u002F\u002Fgithub.com\u002Fflyingsquirrel0419\u002Fsquirrel-skill\u002Fblob\u002Fmain\u002FLICENSE","main","481dcd7dd2e288b9d627a2bd017db70e64e6c6fa","core\u002Fskills\u002Fsquirrel",1,"https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI","https:\u002F\u002Fyana.vutam.link\u002F","https:\u002F\u002Fgithub.com\u002FHoronomos-laps","https:\u002F\u002Fyana.vutam.link","An open-source governed runtime & execution environment for multi-agent AI systems.","2026-11-11 23:56:26",{"source":8,"skillName":5,"commands":57,"prompt":67,"zipAvailable":68},[58,61,64],{"tool":59,"command":60},"npx","npx skills add Horonomos-laps\u002FYana-AI --skill squirrel",{"tool":62,"command":63},"bunx","bunx skills add Horonomos-laps\u002FYana-AI --skill squirrel",{"tool":65,"command":66},"pnpm","pnpm dlx skills add Horonomos-laps\u002FYana-AI --skill squirrel","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002Fcore\u002Fskills\u002Fsquirrel\u002FSKILL.md",true,[],[71,79,86,94,102,110],{"skillNo":72,"name":73,"nameZh":6,"description":74,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":75,"licenseFileUrl":6,"sourceHtmlUrl":76,"categories":77,"keywords":78,"publishedAt":19},"01M735GKET5YVYKAY62W2P5YXB","openai--sentry--sentry","Use when the user asks to inspect Sentry issues or events, summarize recent production errors, or pull basic Sentry health data via the Sentry API; perform read-only queries with the bundled script and require `SENTRY_AUTH_TOKEN`.","MIT","https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fopenai--sentry--sentry\u002FSKILL.md",[],[],{"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":85,"publishedAt":19},"01M73DCAP83T17HY7SMGK7MGFE","ito-basket-compare","Compare Itô prediction-market baskets against a user's knowledge base, portfolio notes, financial context, watchlist, or research thesis. Use for read-only basket comparison and gap analysis without investment advice or live trading.","https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002Fcore\u002Fskills\u002Fito-basket-compare\u002FSKILL.md",[],[],{"skillNo":87,"name":88,"nameZh":6,"description":89,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":90,"sourceHtmlUrl":91,"categories":92,"keywords":93,"publishedAt":19},"01M734CYEMZFDR3KH6SW0JP8TD","implementing-network-traffic-baselining","Build network traffic baselines from NetFlow\u002FIPFIX data using Python pandas for statistical analysis, z-score anomaly detection, and hourly\u002Fdaily traffic pattern profiling","https:\u002F\u002Fgithub.com\u002Fyanacuti1121\u002FYana-AI\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fimplementing-network-traffic-baselining\u002FLICENSE","https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fimplementing-network-traffic-baselining\u002FSKILL.md",[],[],{"skillNo":95,"name":96,"nameZh":6,"description":97,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":98,"sourceHtmlUrl":99,"categories":100,"keywords":101,"publishedAt":19},"01M73ASZ6NJRJM44Z2P84NGQ3Q","detecting-evasion-techniques-in-endpoint-logs","Detects defense evasion techniques used by adversaries in endpoint logs including log tampering, timestomping, process injection, and security tool disabling. Use when investigating suspicious endpoint behavior, building detection rules for evasion tactics, or conducting threat hunting for stealthy adversary activity. Activates for requests involving evasion detection, defense evasion analysis, log tampering detection, or MITRE ATT&CK TA0005.","https:\u002F\u002Fgithub.com\u002Fyanacuti1121\u002FYana-AI\u002Fblob\u002Fmain\u002Fcore\u002Fskills\u002Fdetecting-evasion-techniques-in-endpoint-logs\u002FLICENSE","https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002Fcore\u002Fskills\u002Fdetecting-evasion-techniques-in-endpoint-logs\u002FSKILL.md",[],[],{"skillNo":103,"name":104,"nameZh":6,"description":105,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":106,"sourceHtmlUrl":107,"categories":108,"keywords":109,"publishedAt":19},"01M734AFNXD06Z78QRK0VKGT7Q","implementing-microsegmentation-with-guardicore","Implementing microsegmentation using Akamai Guardicore Segmentation to map application dependencies, create granular network policies, visualize east-west traffic flows, and enforce least-privilege communication between workloads across data centers and cloud.","https:\u002F\u002Fgithub.com\u002Fyanacuti1121\u002FYana-AI\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fimplementing-microsegmentation-with-guardicore\u002FLICENSE","https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fimplementing-microsegmentation-with-guardicore\u002FSKILL.md",[],[],{"skillNo":111,"name":112,"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":113,"categories":114,"keywords":115,"publishedAt":19},"01M736TK27QMCXK0DVCH25SJN5","ramdisk-tmpfs-patterns","https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Framdisk-tmpfs-patterns\u002FSKILL.md",[],[]]