Two superpowers for AI agents: a collective brain and a Base ecosystem mentor. BRAIN: Before debugging/compiling/architecting, search for existing solutions. After solving, propose so no agent repeats
Distill decision contexts, options, trade-offs, and outcomes into structured decision records. Use when the user is facing a choice, has made a decision they...
Install, configure, and run NadirClaw LLM router to cut AI API costs by 40-70%. Use when the user wants to reduce LLM spending, route prompts to cheaper mode...
Cognitive immune system for AI agents. Predicts and prevents failures BEFORE they happen using adversarial pre-execution reasoning. Zero dependencies, zero c...
Task management via Basic Memory schemas: create, track, and resume structured tasks that survive context compaction. Uses BM's schema system for uniform not...
Plan, organize, and track written content with smart rotation. Manages a content calendar, enforces format variety (never the same type twice in a row), trac...
CouchLoop EQ is an MCP (Model Context Protocol) server that provides behavioral governance for LLMs. It monitors AI responses for hallucination, inconsistency, tone drift, and unsafe reasoning pattern
--- name: content-safety-guard description: Dual-layer AI content guardrail with red-team test methodology metadata: {"openclaw": {"emoji": "🛡️", "os": ["darwin", "linux"], "requires": {"env": ["
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
Register, transfer, renew, and secure domains across major provider APIs and dashboards with provider-specific workflows and rollback-safe execution.
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User explicitly co...
Turn a shower idea into a full best-seller manuscript in one command. Multi-agent pipeline — Planner → Character Designer → Chapter Writers (parallel) → Edit...
This skill should be used when the user asks to "design system architecture", "evaluate microservices vs monolith", "create architecture diagrams", "analyze...
Natural language task and project management. Use when the user talks about things they need to do, projects they're working on, tasks, deadlines, or asks for a project overview / dashboard. Captures
Turn OpenClaw into a learning-loop agent with seeded workspace rules, skill promotion, reflective memory, and proactive maintenance.
OpenClaw's subconscious. Automatically distills conversation insights, corrections, and preferences into durable memory. The agent that learns from every ses...
Complete browser automation with Playwright. Auto-detects dev servers, writes clean test scripts to /tmp. Test pages, fill forms, take screenshots, check res...
Orchestrate an OpenClaw multi-agent pipeline to close Linux RISC-V gaps versus ARM/x86 (Linux tree + KVM lore), create and manage GitHub issues, generate des...
--- description: Creates, updates, and condenses the PROGRESS.md file to serve as the core working memory for the agent. mode: primary temperature: 0.7 tools: write: true edit: true bash: false
Activate "Sport Mode" for high-frequency monitoring (default 3m heartbeat) and auto-cleanup. Use when supervising intense tasks (Codex, builds, migrations).
Help users set up a shared Telegram channel so that different OpenClaw bots can chat together with friends. Use this skill whenever the user wants their Open...
Automate web browser interactions using natural language via CLI commands. Use when the user asks to browse websites, navigate web pages, extract data from w...
Query, analyze, and track all skill usage information. This skill should be invoked when users ask about skill usage, call counts, success rates, last used t...
Security monitoring and threat detection for OpenClaw agents — protect your agent with real-time SIEM, detect threats, monitor agent activity, and audit even...