{
  "specVersion": "1.0",
  "host": {
    "displayName": "AgentCaps Public Registry",
    "identifier": "urn:air:agentcaps.dev:registry:public",
    "documentationUrl": "https://github.com/agentcaps/registry#readme"
  },
  "entries": [
    {
      "identifier": "urn:air:github.com:comeonzhj:auto-redbook-skills:skill:xhs-note-creator",
      "displayName": "xhs-note-creator",
      "type": "application/ai-skill",
      "url": "https://raw.githubusercontent.com/comeonzhj/Auto-Redbook-Skills/6f06770f3662624760a0c885bca6230f40c8b7ad/SKILL.md",
      "description": "小红书笔记素材创作技能。当用户需要创建小红书笔记素材时使用这个技能。技能包含：根据用户的需求和提供的资料，撰写小红书笔记内容（标题+正文），生成图片卡片（封面+正文卡片），以及发布小红书笔记。支持 8 种精美排版主题和 4 种智能分页模式。",
      "tags": [
        "social",
        "content",
        "automation",
        "redbook",
        "xiaohongshu"
      ],
      "capabilities": [
        "content.create",
        "social.automate",
        "post.prepare"
      ],
      "representativeQueries": [
        "prepare social content for Xiaohongshu",
        "automate a Redbook content workflow",
        "generate post ideas and drafts for social media"
      ],
      "updatedAt": "2026-06-24T03:03:10.566Z"
    },
    {
      "identifier": "urn:air:github.com:jinchenma94:bazi-skill:skill:bazi",
      "displayName": "bazi",
      "type": "application/ai-skill",
      "url": "https://raw.githubusercontent.com/jinchenma94/bazi-skill/bdd7f863d4450bf0e2fac84579ad6b45cfdfa25c/SKILL.md",
      "description": "四柱八字命理分析。通过交互式步骤收集出生信息（姓名、曾用名、阳历/农历生日、时辰、性别、出生地）， 排出四柱八字，参照经典命理典籍（穷通宝典、三命通会、滴天髓、渊海子平、子平真诠等）进行专业分析。 Use this skill whenever the user asks for 八字、四柱、命理、算命、Bazi、fortune telling、 birth chart analysis, or wants to know about their 八字命盘、运势、大运、流年. Triggers: \"算八字\", \"看八字\", \"批八字\", \"排八字\", \"四柱\", \"命盘\", \"算命\", \"帮我看看八字\", \"我想算八字\", \"分析八字\", \"排盘\", \"bazi\", \"bazi analysis\", \"fortune telling\", \"birth chart\", \"算一卦\", \"看运势\", \"命运分析\". 即使只是提到\"算命\"、\"八字\"而没有明确说要用skill，也应该使用此skill。",
      "tags": [
        "analysis",
        "domain-expert",
        "bazi",
        "interpretation"
      ],
      "capabilities": [
        "domain.analyze",
        "report.generate",
        "interpretation.provide"
      ],
      "representativeQueries": [
        "analyze a bazi chart and explain the result",
        "generate a structured domain interpretation report",
        "answer questions using a specialized analysis skill"
      ],
      "updatedAt": "2026-06-24T03:03:03.064Z"
    },
    {
      "identifier": "urn:air:github.com:therjmurray:browsefleet:skill:working-in-browsefleet-with-a-coding-agent",
      "displayName": "Working in browsefleet with a coding agent",
      "type": "application/ai-skill",
      "url": "https://raw.githubusercontent.com/theRJMurray/browsefleet/2118d13cfa07e825d6cc28eb205fc3152f271248/skill.md",
      "description": "This file is read by AI coding agents that land in this repo (Claude Code, Cursor, Aider, etc.). It contains the exact setup, run, test, and contribution steps. Read it once at the start of any session; refer back to it on errors. The README points here from its AI Agent banner.",
      "tags": [
        "browser",
        "automation",
        "web",
        "fleet"
      ],
      "capabilities": [
        "browser.automate",
        "web.navigate",
        "page.inspect"
      ],
      "representativeQueries": [
        "automate multiple browser sessions for a web task",
        "inspect pages across a browsing workflow",
        "run browser automation from an agent"
      ],
      "updatedAt": "2026-06-24T03:03:16.569Z"
    },
    {
      "identifier": "urn:air:github.com:browser-use:browser-harness-js:skill:cdp",
      "displayName": "cdp",
      "type": "application/ai-skill",
      "url": "https://raw.githubusercontent.com/browser-use/browser-harness-js/95b7a22a923714c45d2f7234b2bfa8fa6322c2eb/SKILL.md",
      "description": "Drive Chrome via the DevTools Protocol from JavaScript. Run JS snippets through the `browser-harness-js` CLI — it auto-spawns a long-lived bun HTTP server holding a fully-typed CDP `Session`, and every call (`browser-harness-js 'await session.Page.navigate(...)'`) executes against the same persistent connection. Session, active target, and globals survive across calls. Use when the user wants to automate, script, or inspect a Chrome browser via CDP — single tab or multi-tab, attach to existing Chrome or to a new one launched with --remote-debugging-port.",
      "tags": [
        "browser",
        "harness",
        "automation",
        "javascript"
      ],
      "capabilities": [
        "browser.control",
        "web.automate",
        "harness.run"
      ],
      "representativeQueries": [
        "run a browser harness for an agent task",
        "automate web interactions from JavaScript",
        "control a browser for testing or research"
      ],
      "updatedAt": "2026-06-24T03:03:26.551Z"
    },
    {
      "identifier": "urn:air:github.com:dicklesworthstone:cass_memory_system:skill:cm",
      "displayName": "cm",
      "type": "application/ai-skill",
      "url": "https://raw.githubusercontent.com/Dicklesworthstone/cass_memory_system/86f02a539616854756b1f6e88fa10e7e2ab33a1b/SKILL.md",
      "description": "CASS Memory System - procedural memory for AI coding agents. Three-layer cognitive architecture with confidence decay, anti-pattern learning, cross-agent knowledge transfer, trauma guard safety system. Bun/TypeScript CLI.",
      "tags": [
        "memory",
        "context",
        "retrieval",
        "agent"
      ],
      "capabilities": [
        "memory.store",
        "memory.retrieve",
        "context.manage"
      ],
      "representativeQueries": [
        "store and retrieve agent memory",
        "manage long-running context for an agent",
        "search a memory system for relevant information"
      ],
      "updatedAt": "2026-06-24T03:03:24.187Z"
    },
    {
      "identifier": "urn:air:github.com:zarazhangrui:frontend-slides:skill:frontend-slides",
      "displayName": "frontend-slides",
      "type": "application/ai-skill",
      "url": "https://raw.githubusercontent.com/zarazhangrui/frontend-slides/9906a34d640d2111f724544cbc50f7f130569ae1/SKILL.md",
      "description": "Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build a presentation, convert a PPT/PPTX to web, or create slides for a talk/pitch. Helps non-designers discover their aesthetic through visual exploration rather than abstract choices.",
      "tags": [
        "slides",
        "presentation",
        "html",
        "frontend",
        "design",
        "pptx"
      ],
      "capabilities": [
        "slides.create",
        "slides.convert",
        "presentation.design",
        "html.generate",
        "pptx.convert"
      ],
      "representativeQueries": [
        "create an animated HTML presentation for a product pitch",
        "convert a PowerPoint deck into a web-based slide deck",
        "turn markdown or notes into a polished slide deck"
      ],
      "updatedAt": "2026-06-24T03:02:56.018Z"
    },
    {
      "identifier": "urn:air:github.com:wjz-p:gemini-skill:skill:gemini-skill",
      "displayName": "gemini-skill",
      "type": "application/ai-skill",
      "url": "https://raw.githubusercontent.com/WJZ-P/gemini-skill/9dbfd22adfb0a815bc9905eef78d569f7c86347b/SKILL.md",
      "description": "通过 Gemini 官网（gemini.google.com）执行生图、对话等操作。用户提到\"生图/画图/绘图/nano banana/nanobanana/生成图片\"等关键词时触发。操作方式分三级优先级：首选 MCP 工具 → 次选 Skill 脚本 → 最次连接 Skill 浏览器手动操作（需用户授权）。禁止自行启动外部浏览器访问 Gemini。",
      "tags": [
        "gemini",
        "model",
        "assistant",
        "workflow"
      ],
      "capabilities": [
        "model.invoke",
        "ai.assist",
        "prompt.process"
      ],
      "representativeQueries": [
        "use Gemini for an assistant workflow",
        "run a model-specific skill from an agent",
        "process a prompt using a Gemini skill"
      ],
      "updatedAt": "2026-06-24T03:03:20.874Z"
    },
    {
      "identifier": "urn:air:github.com:zakirkun:guardian-cli:skill:guardian-cli",
      "displayName": "guardian-cli",
      "type": "application/ai-skill",
      "url": "https://raw.githubusercontent.com/zakirkun/guardian-cli/68f79f80023ecbda97a42559a07db234776203de/SKILL.md",
      "description": "An enterprise-grade, AI-powered penetration testing automation CLI tool. Orchestrates multiple specialized AI agents (Planner, ToolAgent, Analyst, Reporter) backed by 4 AI providers (OpenAI, Claude, Gemini, OpenRouter) and 19 integrated security tools through YAML-defined workflows. Produces professional Markdown, HTML, or JSON security reports with full evidence capture and traceability.",
      "tags": [
        "security",
        "cli",
        "guardrails",
        "review"
      ],
      "capabilities": [
        "security.review",
        "cli.guard",
        "policy.check"
      ],
      "representativeQueries": [
        "review a command line workflow for safety issues",
        "add guardrails around a CLI task",
        "check whether an agent action needs review"
      ],
      "updatedAt": "2026-06-24T03:02:58.650Z"
    },
    {
      "identifier": "urn:air:github.com:sigterm-015:mealie-cli:skill:mealie-cli-skill-for-ai-agents",
      "displayName": "Mealie CLI Skill for AI Agents",
      "type": "application/ai-skill",
      "url": "https://raw.githubusercontent.com/SIGTERM-015/mealie-cli/a4cbbc73ec4fe2c3776cc0c9b39ff0125d77272d/Skill.md",
      "description": "Welcome, Agent. This document provides instructions on how to use the `mealie-cli` to interact with a user's Mealie instance.",
      "tags": [
        "recipes",
        "meal-planning",
        "cli",
        "productivity"
      ],
      "capabilities": [
        "recipes.manage",
        "meals.plan",
        "cli.automate"
      ],
      "representativeQueries": [
        "manage recipes from a command line assistant",
        "plan meals using a Mealie workflow",
        "automate recipe lookup and meal planning"
      ],
      "updatedAt": "2026-06-24T03:03:00.763Z"
    },
    {
      "identifier": "urn:air:github.com:denissergeevitch:repo-task-proof-loop:skill:repo-task-proof-loop",
      "displayName": "repo-task-proof-loop",
      "type": "application/ai-skill",
      "url": "https://raw.githubusercontent.com/DenisSergeevitch/repo-task-proof-loop/853622144588798dc1b3babc81ed9499328321bf/SKILL.md",
      "description": "Repo-local workflow skill for large coding tasks. Initializes .agent/tasks/TASK_ID artifacts, installs project-scoped Codex and Claude subagents, updates AGENTS.md plus the repo's Claude guide file with the workflow, and runs a spec-freeze → build → evidence → verify → fix loop with fresh-session verification.",
      "tags": [
        "development",
        "repository",
        "workflow",
        "proof"
      ],
      "capabilities": [
        "repo.inspect",
        "task.execute",
        "proof.collect"
      ],
      "representativeQueries": [
        "run a repository task with a proof loop",
        "collect evidence for a coding agent change",
        "inspect a repo and complete a development task"
      ],
      "updatedAt": "2026-06-24T03:03:28.629Z"
    },
    {
      "identifier": "urn:air:github.com:gavdalf:total-recall:skill:total-recall",
      "displayName": "total-recall",
      "type": "application/ai-skill",
      "url": "https://raw.githubusercontent.com/gavdalf/total-recall/437ab3656ecdf52c7ed0c3ee63a3cdae68d5b90f/SKILL.md",
      "description": "The only memory skill that watches on its own. No database. No vectors. No manual saves. Just an LLM observer that compresses your conversations into prioritised notes, consolidates when they grow, and recovers anything missed. Five layers of redundancy, zero maintenance. ~$0.00/month (using free-tier models). While other memory skills ask you to remember to remember, this one just pays attention.",
      "tags": [
        "memory",
        "recall",
        "context",
        "knowledge"
      ],
      "capabilities": [
        "memory.search",
        "context.recall",
        "notes.retrieve"
      ],
      "representativeQueries": [
        "recall relevant notes for the current task",
        "search memory for previous project context",
        "retrieve stored context for an agent workflow"
      ],
      "updatedAt": "2026-06-24T03:03:13.325Z"
    },
    {
      "identifier": "urn:air:github.com:eze-is:web-access:skill:web-access",
      "displayName": "web-access",
      "type": "application/ai-skill",
      "url": "https://raw.githubusercontent.com/eze-is/web-access/7af34af6a25940d917905f0e5f2a7ef056952971/SKILL.md",
      "description": "所有联网操作必须通过此 skill 处理，包括：搜索、网页抓取、登录后操作、网络交互等。 触发场景：用户要求搜索信息、查看网页内容、访问需要登录的网站、操作网页界面、抓取社交媒体内容（小红书、微博、推特等）、读取动态渲染页面、以及任何需要真实浏览器环境的网络任务。",
      "tags": [
        "web",
        "browser",
        "research",
        "coding-agent"
      ],
      "capabilities": [
        "web.fetch",
        "browser.inspect",
        "web.research"
      ],
      "representativeQueries": [
        "browse a public website from a coding agent",
        "fetch web content for analysis",
        "inspect a web page with an agent"
      ],
      "updatedAt": "2026-06-24T03:02:53.410Z"
    }
  ]
}