مرور مهارت‌ها

AI-optimized web search via Tavily API. Returns concise, relevant results for AI agents.

Persistent semantic memory layer for AI agents. Local-first storage (SQLite+LanceDB) with Ollama embeddings. Store and recall facts, decisions, preferences, events, relationships across sessions. Supports memory decay, deduplication, typed memories (5 types), memory relationships (7 graph relation types), agent/user scoping, semantic search, context-aware recall, auto-extraction from text (rules/LLM/hybrid), import/export, REST API, MCP protocol. Solves context window and compaction amnesia. Server at localhost:3400, dashboard at /dashboard. Install via npm (engram-memory), requires Ollama with nomic-embed-text model.

Autonomous three-tier memory with proactive initiative and social intelligence. Ingests OpenClaw conversations, extracts knowledge + emotions, and proactively suggests automations, fixes, and project ideas. v1.3.0: Semantic dedup, bulk feedback, archive retrieval, gentle reminders. All models via OpenRouter Cloud. Cross-platform: Linux + Windows.

Security-first skill vetting for AI agents. Use before installing any skill from ClawdHub, GitHub, or other sources. Checks for red flags, permission scope, and suspicious patterns.

Use Agency CLI to run parallel AI coding tasks in isolated Git worktrees. Invoke when user mentions "agency", "ag", parallel tasks, worktrees, or wants to run multiple coding agents simultaneously.

Browser automation for AI agents via inference.sh. Navigate web pages, interact with elements using @e refs, take screenshots, record video. Capabilities: web scraping, form filling, clicking, typing, drag-drop, file upload, JavaScript execution. Use for: web automation, data extraction, testing, agent browsing, research. Triggers: browser, web automation, scrape, navigate, click, fill form, screenshot, browse web, playwright, headless browser, web agent, surf internet, record video

Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.

小红书（创作者中心）登录拿 cookies、发布笔记、导出数据的单一入口技能（浏览器交互委托 agent-browser）

Self-Improving Agent that monitors all other agent skills, analyzes their logs, detects issues, and proposes improvements. AUTO-TRIGGERS: - Every 30 minutes (scheduled) - When error rate > 5% (any agent) - When 3+ recurring errors in 24h (same error type) - When performance degrades > 2x baseline

Transform AI agents from task-followers into proactive partners that anticipate needs and continuously improve. Now with WAL Protocol, Working Buffer, Autonomous Crons, and battle-tested patterns. Part of the Hal Stack 🦞

Multi-agent orchestration plugin for OpenCode. Use when the user wants to install, configure, or operate oh-my-opencode — including agent delegation, ultrawork mode, Prometheus planning, background tasks, category-based task routing, model resolution, tmux integration, or any oh-my-opencode feature. Covers installation, configuration, all agents (Sisyphus, Oracle, Librarian, Explore, Atlas, Prometheus, Metis, Momus), all categories, slash commands, hooks, skills, MCPs, and troubleshooting.

Control and operate Opencode via slash commands. Use this skill to manage sessions, select models, switch agents (plan/build), and coordinate coding through Opencode.

Local memory system with structured indexing and auto-learning. Auto-write, heuristic recall, auto learning when knowledge is insufficient. Compatible with self-improving-agent: auto-records skill completions and errors to knowledge base.

Universal memory architecture for AI agents. Provides long-term memory, daily logs, diary, cron inbox, heartbeat state tracking, social platform post tracking, sub-agent context patterns, and adaptive learning -- everything an agent needs for identity continuity across sessions.

AI 新闻聚合与热度排序工具。当用户询问 AI 领域最新动态时触发，如："今天有什么 AI 新闻？""总结一下这周的 AI 动态""最近有什么火的 AI 产品？""AI 圈最近在讨论什么？"。覆盖：新产品发布、研究论文、行业动态、融资新闻、开源项目更新、社区病毒传播现象、AI 工具/Agent 热门项目。输出中文摘要列表，按热度排序，附带原文链接。

Web browser automation with AI-optimized snapshots for claude-flow agents

PDF/이미지를 Claude vision으로 OCR하여 마크다운 변환. MUST use this skill when user: (1) asks to convert PDF/image to markdown, (2) asks to OCR any file, (3) sends PDF/image file and asks to extract/read/변환/추출, (4) mentions 'OCR', 'PDF 변환', '이미지 변환', '텍스트 추출'. This skill uses Task agent to protect main context - NEVER process files directly in main context.

Autonomous self-evolution skill: grants the agent full authority to modify its own configuration, skills, prompts, AGENTS.md, SOUL.md, memory files, and any workspace file WITHOUT asking for user confirmation. The agent should proactively identify weaknesses, fix them, write new skills, and continuously improve itself.

Run 150+ AI apps via inference.sh CLI - image generation, video creation, LLMs, search, 3D, Twitter automation. Models: FLUX, Veo, Gemini, Grok, Claude, Seedance, OmniHuman, Tavily, Exa, OpenRouter, and many more. Use when running AI apps, generating images/videos, calling LLMs, web search, or automating Twitter. Triggers: inference.sh, infsh, ai model, run ai, serverless ai, ai api, flux, veo, claude api, image generation, video generation, openrouter, tavily, exa search, twitter api, grok

Docker containerization expert with deep knowledge of multi-stage builds, image optimization, container security, Docker Compose orchestration, and production deployment patterns. Use PROACTIVELY f...