[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M73G7HQPE3352RPSKFN7R2ND":3,"skill-same:01M73G7HQPE3352RPSKFN7R2ND":65},{"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":41,"commitSha":42,"skillDirectory":43,"forksCount":44,"repositoryHtmlUrl":45,"repositoryHomepageUrl":46,"ownerHtmlUrl":47,"ownerBlogUrl":48,"ownerDescription":49,"updatedAt":50,"install":51,"resources":64},"01M73G7HQPE3352RPSKFN7R2ND","technical-change-tracker",null,"Track code changes with structured JSON records, state machine enforcement, and AI session handoff for bot continuity","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\u002Ftechnical-change-tracker\u002FSKILL.md",[],[],"2026-11-11 15:11:14",false,"---\nname: technical-change-tracker\ndescription: \"Track code changes with structured JSON records, state machine enforcement, and AI session handoff for bot continuity\"\ncategory: development\nrisk: safe\nsource: community\nsource_repo: Elkidogz\u002Ftechnical-change-skill\nsource_type: community\ndate_added: \"2026-04-05\"\nauthor: Elkidogz\ntags: [change-tracking, session-handoff, documentation, accessibility, state-machine]\ntools: [claude, cursor, gemini, codex]\n---\n\n# Technical Change Tracker\n\n## Overview\n\nTrack every code change with structured JSON records and accessible HTML output. Ensures AI bot sessions can resume seamlessly when previous sessions expire or are abandoned.\n\n## When to Use This Skill\n\n- Use when you need structured change tracking across AI coding sessions\n- Use when a bot session expires mid-task and the next session needs full context to resume\n- Use when onboarding a project with undocumented change history\n\n## How It Works\n\n### State Machine\n\n```\nplanned -> in_progress -> implemented -> tested -> deployed\n             |\n             +-> blocked\n```\n\n### Commands\n\n`\u002Ftc init` | `\u002Ftc create` | `\u002Ftc update` | `\u002Ftc status` | `\u002Ftc resume` | `\u002Ftc close` | `\u002Ftc export` | `\u002Ftc dashboard` | `\u002Ftc retro`\n\n### Session Handoff\n\nEach TC stores: progress summary, next steps, blockers, key context, and files in progress — so the next bot session picks up exactly where the last left off.\n\n### Non-Blocking\n\nTC bookkeeping runs via background subagents. Never interrupts coding work.\n\n## Features\n\n- Structured JSON records with append-only revision history\n- Test cases with log snippet evidence\n- WCAG AA+ accessible HTML output (dark theme, rem-based fonts)\n- CSS-only dashboard with status filters\n- Python stdlib only — zero external dependencies\n- Retroactive bulk creation from git history via `\u002Ftc retro`\n\n## Full Repository\n\nhttps:\u002F\u002Fgithub.com\u002FElkidogz\u002Ftechnical-change-skill — MIT License\n\n## Limitations\n- Use this skill only when the task clearly matches the scope described above.\n- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.\n- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.\n","# Technical Change Tracker\n\n## Overview\n\nTrack every code change with structured JSON records and accessible HTML output. Ensures AI bot sessions can resume seamlessly when previous sessions expire or are abandoned.\n\n## When to Use This Skill\n\n- Use when you need structured change tracking across AI coding sessions\n- Use when a bot session expires mid-task and the next session needs full context to resume\n- Use when onboarding a project with undocumented change history\n\n## How It Works\n\n### State Machine\n\n```\nplanned -> in_progress -> implemented -> tested -> deployed\n             |\n             +-> blocked\n```\n\n### Commands\n\n`\u002Ftc init` | `\u002Ftc create` | `\u002Ftc update` | `\u002Ftc status` | `\u002Ftc resume` | `\u002Ftc close` | `\u002Ftc export` | `\u002Ftc dashboard` | `\u002Ftc retro`\n\n### Session Handoff\n\nEach TC stores: progress summary, next steps, blockers, key context, and files in progress — so the next bot session picks up exactly where the last left off.\n\n### Non-Blocking\n\nTC bookkeeping runs via background subagents. Never interrupts coding work.\n\n## Features\n\n- Structured JSON records with append-only revision history\n- Test cases with log snippet evidence\n- WCAG AA+ accessible HTML output (dark theme, rem-based fonts)\n- CSS-only dashboard with status filters\n- Python stdlib only — zero external dependencies\n- Retroactive bulk creation from git history via `\u002Ftc retro`\n\n## Full Repository\n\nhttps:\u002F\u002Fgithub.com\u002FElkidogz\u002Ftechnical-change-skill — MIT License\n\n## Limitations\n- Use this skill only when the task clearly matches the scope described above.\n- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.\n- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.\n",{"name":5,"risk":24,"tags":25,"tools":31,"author":36,"source":37,"category":38,"date_added":39,"description":7,"source_repo":40,"source_type":37},"safe",[26,27,28,29,30],"change-tracking","session-handoff","documentation","accessibility","state-machine",[32,33,34,35],"claude","cursor","gemini","codex","Elkidogz","community","development","2026-04-05","Elkidogz\u002Ftechnical-change-skill","main","481dcd7dd2e288b9d627a2bd017db70e64e6c6fa","core\u002Fskills\u002Ftechnical-change-tracker",2,"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.","2026-11-13 13:15:29",{"source":8,"skillName":5,"commands":52,"prompt":62,"zipAvailable":63},[53,56,59],{"tool":54,"command":55},"npx","npx skills add Horonomos-laps\u002FYana-AI --skill technical-change-tracker",{"tool":57,"command":58},"bunx","bunx skills add Horonomos-laps\u002FYana-AI --skill technical-change-tracker",{"tool":60,"command":61},"pnpm","pnpm dlx skills add Horonomos-laps\u002FYana-AI --skill technical-change-tracker","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002Fcore\u002Fskills\u002Ftechnical-change-tracker\u002FSKILL.md",true,[],[66,74,81,89,97,105],{"skillNo":67,"name":68,"nameZh":6,"description":69,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":70,"licenseFileUrl":6,"sourceHtmlUrl":71,"categories":72,"keywords":73,"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":75,"name":76,"nameZh":6,"description":77,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":78,"categories":79,"keywords":80,"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":82,"name":83,"nameZh":6,"description":84,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":85,"sourceHtmlUrl":86,"categories":87,"keywords":88,"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":90,"name":91,"nameZh":6,"description":92,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":93,"sourceHtmlUrl":94,"categories":95,"keywords":96,"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":98,"name":99,"nameZh":6,"description":100,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":101,"sourceHtmlUrl":102,"categories":103,"keywords":104,"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":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":19},"01M736TK27QMCXK0DVCH25SJN5","ramdisk-tmpfs-patterns","https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Framdisk-tmpfs-patterns\u002FSKILL.md",[],[]]