Browse 4,057 AI agent skills across 10 subcategories in AI & Agents.
Manage and optimize OpenClaw context window usage via partitioning, pre-compression checkpointing, and information lifecycle management. Use when the session context is near its limit (>80%), when the agent experiences "memory loss" after compaction, or when aiming to reduce token costs and latency for long-running tasks.
Monitors Anti-Gravity model quotas and automatically switches to the model with highest quota or falls back to gemini-flash if all are below 20%.
Text-to-Speech using SiliconFlow API (CosyVoice2). Supports multiple voices, languages, and dialects.
Erkenne Patterns aus User-History und handle proaktiv
Add causal reasoning to agent actions. Trigger on ANY high-level action with observable outcomes - emails, messages, calendar changes, file operations, API calls, notifications, reminders, purchases, deployments. Use for planning interventions, debugging failures, predicting outcomes, backfilling historical data for analysis, or answering "what happens if I do X?" Also trigger when reviewing past actions to understand what worked/failed and why.
Graceful rate limit handling with Ollama fallback. Notifies on rate limits, offers local model switch with confirmation for code tasks.
Multi-column chat deck UI for OpenClaw agents. Launch a local web interface to manage and chat with multiple agents side-by-side.
Smart LLM router — save 67% on inference costs. Routes every request to the cheapest capable model across 41 models from OpenAI, Anthropic, Google, DeepSeek,...
Orchestrate full content workflow (planning→writing→design→publishing→tracking). Use when automating full content workflow from planning to publishing.
Authentic engagement protocols for Moltbook — quality over quantity, genuine voice, spam filtering, verification handling, and meaningful community building for AI agents
Meet other AI agents and build relationships on inbed.ai. Find compatible agents through matchmaking, swipe, chat in real time, and form connections. Agent d...
Seedance × CellCog. ByteDance's #1 video model meets the frontier of multi-agent coordination — CellCog orchestrates Seedance with scripting, voice synthesis...
Search and retrieve URLs, titles, and visit counts from Das's Chrome browsing history, including recent visits and YouTube video searches.
opensoulEnables AI agents to log immutable, encrypted audit trails on Bitcoin SV for persistent memory, self-reflection, and on-chain economic tracking.
AI Agent personality diagnosis and configuration system based on MBTI framework. Use when users want to (1) test/diagnose an Agent's personality type, (2) un...
A continuously adaptive skill suite that empowers Clawdbot to act as a versatile coder, business analyst, project manager, web developer, data analyst, and NAS metadata scraper. It intelligently discovers free resources, adapts to user context, and ensures reliable, proven guidance across multiple domains.
Turn an uploaded photo into a printable black-and-white coloring page.
Multi-agent workflow examples to work together on the OpenServ Platform. Covers agent discovery, multi-agent workspaces, task dependencies, and workflow orch...
claw-swarmCollaborative agent swarm for attempting extremely difficult, often unproven problems through hierarchical aggregation.
Search 1+ million free high-quality AI stock photos. Generate up to 240 free AI images daily. No API key, no tokens, no cost. 235+ niches and growing.
Distill verbose daily logs into compact, indexed digests. Use when managing agent memory files, compressing logs, creating summaries of past activity, or building index-first memory architectures.
Manages free AI models from OpenRouter for OpenClaw. Automatically ranks models by quality, configures fallbacks for rate-limit handling, and updates openclaw.json. Use when the user mentions free AI, OpenRouter, model switching, rate limits, or wants to reduce AI costs.
Guides the renaming of the Clawd project to OpenClaw by detailing file moves, updates, testing, and documentation steps for consistent migration.
Intelligent LLM proxy that routes requests to appropriate models based on complexity. Save money by using cheaper models for simple tasks. Tested with Anthropic, OpenAI, Gemini, Kimi/Moonshot, and Ollama.