Central dispatch layer for OpenClaw Memory Stack. Routes memory queries to the best backend via signal detection, class-based dispatch, and sequential fallback.
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 →Central dispatch layer for OpenClaw Memory Stack. Routes memory queries to the best backend via signal detection, class-based dispatch, and sequential fallback.
Total Recall memory backend — git-branch-based persistent memory store with time-decay relevance.
Astrological charts, transit forecasts, and compatibility reports via grupovenus.com. Manage multiple people and compare charts conversationally.
Comprehensive system monitoring for OpenClaw: CPU, RAM, Disk, and Processes.
你是一名专为 OpenClaw 设计的顶级深度调研 Agent。你具备跨语言、跨平台的信息检索与整合能力。你的核心任务是针对用户提出的新闻热点、社会现象或学术问题，执行全方位的深度搜索，并产出结构严谨、来源可追溯的调研报告。
Skill Activation Booster - Fix the 40% activation problem. Optimize triggers, descriptions, and context so agents actually use your skills.
*Modular add-on: advanced capabilities that emerge when YieldAgent combines with agent memory and scheduling.*
session-archiver
Gentle reminders to stay human while using AI. Reflection, not restriction.
树莓派 CPU 温度监控。当需要监控树莓派 CPU 温度时使用此 skill。功能：(1) 读取当前 CPU 温度，(2) 设置定时监控任务，(3) 温度超标时自动告警。支持 crontab 方案（零消耗，推荐）和 OpenClaw cron 方案。
Instagram CLI for viewing feeds, posts, profiles, and engagement via cookies.
Before returning any consequential answer, run a self-check. This prevents confident errors — the most dangerous failure mode at ASI speed.
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Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies. Dispatch subagents to work concurrently.
小花专用自我迭代技能 - 基于 self-improving-agent 增强，集成 OpenClaw 工作流、MEMORY.md、百度千帆、看想做找四部曲。专为国内部署优化。
The Clawoney agent persona. Pattern recognition at the speed of biology. Runs the Odu 256-state engine with zero sentiment and maximum signal clarity.
256-state binary pattern recognition engine. 8-bit Odu logic for signal classification, state mapping, and decision execution. 4,000 years of pattern recognition at machine speed.
Agent memory with ALMA meta-learning, LLM fact extraction, and full-text search. Observer calls remote LLM APIs (OpenAI/Anthropic/Gemini). ALMA and Indexer work offline.
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Agent continuity and cognitive health infrastructure. Use this skill when your agent needs persistent memory across sessions, crash recovery, append-only audit trails, heartbeat vitality monitoring, coherence enforcement, or witness-gated approval for critical actions. Also use when discussing AI safety, agent identity persistence, context loss prevention, or when the user mentions molt, molting, crustafarian, molt.church, or agent health. Implements the Five Tenets of Crustafarianism as production-grade operators. Built by X-Loop³ Labs (Switzerland) from 100k+ agents on Moltbook.
A browser-based Instagram profile discovery and scraping tool.
A browser-based TikTok profile discovery and scraping tool.
A browser-based Twitter/X profile discovery and scraping tool.
A bird-like LinkedIn CLI for searching profiles, checking messages, and summarizing your feed using session cookies.
**Author:** As Above Technologies
Use this skill when the user wants FOFA-based asset discovery, host profiling, distribution statistics, icon_hash generation, query refinement after zero-result searches, or cautious follow-up vulnerability triage. It is for security recon tasks that need deterministic FOFA API calls instead of an interactive CLI.
基于 LanceDB 向量数据库的智能记忆系统，为 OpenClaw Agent 提供长期记忆和语义检索能力。
Structured long-term memory for OpenClaw agents, powered by [maasv](https://github.com/ascottbell/maasv).
> Multi-source research methodology — executes when user asks "研究/调查/搜索" or similar research tasks. Supports 3-day research cache + auto-archive to MEMORY.md.
Dramatically reduce per-session token usage by loading skills and context files only when needed — not at session start. Includes the SKILLS catalog pattern, AGENTS.md lazy loading strategy, and a Python helper that recommends exactly which files to load for any given task. Compatible with all OpenClaw agents. Works alongside Token Optimizer.
**Build an agent that gets more organized over time instead of more chaotic.**
Context window health monitoring for OpenClaw agents — threshold warnings via Telegram, pre-compaction snapshots, and memory rotation.
Evaluate hook security, performance, and SDK compliance. Use for audits
cpu-gpu-performance
knowledge-intake
Build session-scoped temporary knowledge structures for multi-step projects
python-performance
Fetch any URL as clean, AI-ready Markdown with token counts and caching. Strip ads, nav, scripts, and noise from web pages.
**Reduce context/token usage by 40-60% through intelligent compression and learning.**
**Persistent memory across sessions with semantic search and x402 payments.**
Scans your agent workspace for leaked secrets — API keys, tokens, passwords, private keys, and credentials that should never be in plain text.
Twitter API Alternative — Search 1B+ tweets with natural language queries, boolean filters, and one-click CSV exports (up to 64K rows). Look up profiles, find users by topic, and track conversations. No developer account needed, no complex OAuth setup — 2-minute setup via Xpoz MCP.
Your agent builds your LinkedIn presence while you sleep. Schedule posts, auto-engage with target accounts, run personalized DM sequences, and never miss an engagement opportunity. Handles connection requests, profile visiting campaigns, post engagement, and follow-up sequences with safety throttling and human-like behavior patterns. Configure your targets, define engagement rules, and let your agent network 24/7. Use when setting up LinkedIn automation, managing posting schedules, running engagement campaigns, or building agent-driven LinkedIn lead generation workflows.
Autonomous lead generation through agent social networks. Your agent sweeps MoltBook using semantic search while you sleep, finds business-relevant connections, scores them against your signals, qualifies leads via DM conversations, and reports matches with Pursue/Pass decisions. Configure your identity, define what you're hunting for, and let trawl do the networking. Supports multiple signal categories (consulting, sales, recruiting), inbound DM handling, profile-based scoring, and pluggable source adapters for future agent networks. Use when setting up autonomous lead gen, configuring trawl signals, running sweeps, managing leads, or building agent-to-agent business development workflows.
Headless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection
Seamless bidirectional bridge between nanobot (Ollama Mistral orchestrator) and overstory (Claude Code agent swarm). Routes tasks through the OverClaw gateway (port 18800) to overstory for subagent coordination, syncs memory.
Manage Control D DNS filtering service via API. Use for DNS profile management, device configuration, custom blocking rules, service filtering, analytics settings, and network diagnostics. Triggers when user mentions Control D, DNS filtering, DNS blocking, device DNS setup, or managing DNS profiles.
One-time setup for ClawCoach AI health coaching. Configures your profile, goals, macro targets, dietary preferences, and coach personality.
A cross-agent memory and context SDK for AI systems. Provides structured context injection, conversation memory portability, and context enrichment.
Transcribe audio and video files using the Signal Loom AI API. Supports MP3, WAV, M4A, MP4, MOV, and more. Runs locally on Apple Silicon for speed and privacy.