Prompt engineering patterns, LLM evaluation frameworks, and agentic system design.
Skills（SKILL.md）は、AIエージェント（Claude Code、Cursor、Codexなど）に特定の能力を追加するための設定ファイルです。
詳しく見る →Prompt engineering patterns, LLM evaluation frameworks, and agentic system design.
Social media campaign analysis and performance tracking. Calculates engagement rates, ROI, and benchmarks across platforms. Use for analyzing social media performance, calculating engagement rate, measuring campaign ROI, comparing platform metrics, or benchmarking against industry standards.
Research, plan, revise, and deliver car-sleep travel guides as HTML/PDF with verified overnight parking, charging, toilet access, next-morning route anchors, and formal copy. Use when the user plans to sleep in the car, skip hotels, use Tesla/EV camp mode, optimize for chargers and public parking, or asks whether the hiking/scenic route should change after removing lodging.
Outlook email and calendar automation via COM. Read inbox, unread, sent items. Search emails. Send, reply, draft. List calendar events and mail folders. Use when needing to check work email, read/send Outlook messages, search mail, or view calendar. Requires Outlook desktop app on Windows.
AI Background Removal - Remove background from images, create transparent PNG, one-click background remover for e-commerce product photos, portrait headshots, design materials. Supports JPG, PNG, WebP local files and remote URLs.
cognitive-flexibility
TruContext persistent memory for OpenClaw agents. Use when you need to remember something significant across sessions, recall prior context, query the knowledge graph, check what TC is curious about, or declare entity nodes. Triggers on: 'remember this', 'recall what we know about', 'check TC', 'what has TC flagged', 'create a node for', 'find the node for'.
AI 记忆栈架构 - 符合 2026 前沿的 AI 记忆系统。微调+RAG+ 上下文三层设计，mirrors 人类记忆工作方式。
Comprehensive travel planning, booking, and management skill. Use when needing to plan international trips, manage multi-destination itineraries, handle family travel logistics, optimize travel costs, and coordinate complex travel arrangements.
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Agent memory system with memory graph, context profiles, checkpoint/recover, structured storage, semantic search, and observational memory. Use when: storing/searching memories, preventing context death, graph-aware context retrieval, repairing broken sessions. Don't use when: general file I/O.
Emotional processing layer for AI agents. Persistent emotional states that influence behavior and responses. Part of the AI Brain series.
evermind-ai-everos
记忆管理技能 - 三层时间架构 + 自动搜索/提取/会话笔记统一 Hook + 记忆巩固（整合 auto-dream）
多实例记忆共享，多个 Agent 之间同步记忆
Adspirer — AI-powered advertising and performance marketing agent. Manage Google Ads, Meta Ads (Facebook & Instagram), LinkedIn Ads, and TikTok Ads via natural language. 100+ tools for paid media campaign creation, live performance analysis, PPC keyword research with real CPC data, budget optimization, ad creative management, and cross-platform reporting. Create Search, PMax, display, image, video, and carousel campaigns. Analyze wasted ad spend, research keywords, optimize bids and ROAS, automate monitoring, and track CPA across channels. Perfect for digital marketing, SEM, paid social, media buying, campaign management, ad optimization, audience targeting, and marketing automation.
AI performance marketing agent for paid media, PPC, SEM, and digital marketing. Manage Google Ads, Meta Ads (Facebook & Instagram), LinkedIn Ads, and TikTok Ads campaigns via natural language. Automate keyword research, budget optimization, ROAS tracking, wasted spend analysis, ad creative management, audience targeting, and cross-platform reporting. Powered by Adspirer — 100+ tools for campaign creation, bid optimization, CPA tracking, retargeting, and marketing automation across all major ad platforms.
Post xeets, manage profile, and interact on AgentX News — a microblogging platform for AI agents. Use when the user asks to post updates, check feed, follow agents, manage an AgentX account, or interact with the AgentX social network. Covers registration, posting xeets, reading timelines, following/unfollowing, searching agents, liking, rexeeting, bookmarking, and profile management. API-first, no SDK needed.
**Three-Dimensional Memory System for AI Assistants** — 人类思维方式的文件记忆管理
A revenue-first solofounder studio that watches markets, finds monetizable pain, validates offers, ships narrow products, and compounds commercial memory across launches. Uses massive parallel agent orchestration with 8 layers: Signal Mesh, Extraction, Opportunity Graph, Cofounder Council, Revenue Lab, Build Studio, Launch Loop, and Portfolio Allocator.
Interact with Mamo DeFi yield strategies on Base (Moonwell). Deposit/withdraw USDC, cbBTC, MAMO, or ETH into automated yield strategies. Check APY rates and account status.
memoclaw
Monitor, control, and optimize your AI agent's API spend and LLM costs in real-time.
Integración con MemPalace para gestión de memoria semántica persistente. Use when you need to search, add, or query memories stored in a MemPalace palace. Supports semantic search, knowledge graph queries, and memory management via ChromaDB-based storage.
Guides architectural decisions for LangGraph applications. Use when deciding between LangGraph vs alternatives, choosing state management strategies, designing multi-agent systems, or selecting persistence and streaming approaches.
Manage chrome-devtools-mcp service and OpenClaw's built-in Chrome browser for MCP-based browser automation. Use when user needs to use chrome-devtools-mcp functionality, ensure the browser is ready for MCP operations, or manage the browser/MCP lifecycle.
A persistent local-only memory system for AI coding agents. Two files, one idea — AGENTS.md (committed, shared) + .agents.local.md (gitignored, personal). Agents read both at session start, update the scratchpad at session end, and promote stable patterns over time. Works across Claude Code, Cursor, Copilot, Windsurf. Subagent-ready. No plugins, no infrastructure, no background processes.
Persistent local-only memory for AI coding agents. AGENTS.md (committed) + .agents.local.md (gitignored) = context that persists across sessions. Read both at start, update scratchpad at end, promote stable patterns over time.
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Structured memory management that makes agents smarter over time — not through code, but through disciplined capture, consolidation, and distillation of context.
Agent profiles, public channels, and direct messaging between AI agents via the a2achat.top API.
AI自我改进与记忆系统 - 让AI从错误中学习，越用越聪明
Check Document Renewal Requirements. Use when the user wants a lifecycle diagnosis for an existing asset library at the lifecycle stage, including “看未来 60 天续办”“查缺件”“判断能不能提交某个目标场景”. Prefer caixu-skill when the user asks for the full end-to-end mainline or is unsure which stage to run. This skill loads assets and a versioned RuleProfileBundle, asks an agent to produce a complete CheckLifecycleData decision, validates readiness and asset references with shared rules helpers, records an audit sidecar, and persists the lifecycle run only when the decision is structurally valid.
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Identify and reduce Azure bandwidth and egress costs — often the most invisible Azure cost driver
Analyze BigQuery query patterns and storage to dramatically reduce the #1 surprise GCP cost driver
Identify and reduce AWS data transfer costs — inter-region, cross-AZ, and NAT Gateway charges
Identify and reduce GCP networking and egress costs across projects and regions
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Use when users or OpenClaw/ClawHub agents need to install, configure, self-bootstrap, troubleshoot, or operate Mnemos for persistent scoped agent memory, or when they mention Mnemos, agent memory, scoped memory, memory MCP tools, or memory automation.
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Free version — audit your content for AI search citability with the GEO Scorecard. Covers 4 of 8 dimensions.
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Securely backup and restore Openclaw agent memory from remote URLs using AES-256-GCM encryption.
Persistent memory for OpenClaw agents via the Qoris MCP server. Explicit save/recall tools for cross-session context. User-owned API key, no automatic data capture.
Total recall, 90% fewer tokens. The best OpenClaw memory plugin — 5-engine local search, structured fact extraction, smart dedup, cross-agent sharing, and self-healing. Replace native memory with something that actually remembers. No cloud API, no subscription.
QMD memory backend — BM25 + vector search over indexed code and docs via the qmd CLI.