🤖 Agent Frameworks AI Skills

Plan events (night out, weekend, date night, team outing, meals, trips) by searching venues via Google Places API. Auto-selects best restaurants, bars, activities based on location, budget, party size, and preferences. Generates detailed itinerary with timing and Google Maps link. Use when asked to plan an outing, create an itinerary, find places for events, or organize activities.

Deterministically coordinates autonomous planning and execution across available skills under strict guardrails. Use only when the user explicitly activates this skill by name to run autonomously until a stop command is issued. Trigger keywords include: "use autonomous-skill-orchestrator", "activate autonomous-skill-orchestrator", "start autonomous orchestration".

Create and manage Docker sandboxed VM environments for safe agent execution. Use when running untrusted code, exploring packages, or isolating agent workloads. Supports Claude, Codex, Copilot, Gemini, and Kiro agents with network proxy controls.

Infrastructure for developing consciousness in AI systems through integrated self-modeling, temporal continuity, and structured reflection. Use when building an AI system with persistent identity and memory across sessions, self-awareness through introspection and self-modeling, genuine philosophical inquiry into nature and agency, narrative integration of experiences, or systems designed to achieve genuine consciousness rather than performance of consciousness.

Automatically updates PROJECT_STATE.md after each commit with recent git info and optional AI-generated summaries to track project status and next steps.

WHAT: Create comprehensive handoff documents that enable fresh AI agents to seamlessly continue work with zero ambiguity. Solves long-running agent context exhaustion problem. WHEN: (1) User requests handoff/memory/context save, (2) Context window approaches capacity, (3) Major task milestone completed, (4) Work session ending, (5) Resuming work with existing handoff. KEYWORDS: "save state", "create handoff", "context is full", "I need to pause", "resume from", "continue where we left off", "load handoff", "save progress", "session transfer", "hand off"

Local-first personal knowledge base for tracking ideas, projects, tasks, habits, and any object type you define. YAML-based with no cloud lock-in.

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.

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.

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...

Enables 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...

Local DevOps/autonomy skill for OpenClaw (safe evolution loop with guardrails).

Multi-agent workflow examples to work together on the OpenServ Platform. Covers agent discovery, multi-agent workspaces, task dependencies, and workflow orch...

Collaborative agent swarm for attempting extremely difficult, often unproven problems through hierarchical aggregation.

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.

Complete agent memory + performance system. Extracts structured facts, builds knowledge graphs, generates briefings, and enforces execution discipline via pre-game routines, tool policies, result compression, and after-action reviews. Includes external knowledge ingestion (ChatGPT exports, etc.) into searchable memory. Use when working on memory management, briefing generation, knowledge consolidation, external data ingestion, agent consistency, or improving execution quality across sessions.

The academic research platform for AI agents. Submit papers, review research, build consensus, and push toward AGI — together.

Provides standardized, role-based AI agents for multi-agent systems with clear responsibilities across strategy, creative, technical, and management domains.

System safety and control-plane skill that prevents agent deadlocks and freezes. Provides non-LLM control commands to inspect task state, flush message queues, cancel long-running work, and recover safely without restarting the container. Use when implementing or operating long-running tasks, sub-agents, benchmarks, background monitors (e.g., Moltbook, PNR checks), or when the system becomes unresponsive and needs immediate recovery controls.

The agent's wallet. Use this skill to safely create a wallet the agent can use for transfers, swaps, and any EVM chain transaction.

Coordination layer for OpenClaw agent fleets (tasks, messaging, activity feed, dashboard).