Run a conversational task list with Inbox, Today, Upcoming, recurring tasks, waiting items, projects, and review loops that stay trustworthy.
Turn OpenClaw into a learning-loop agent with seeded workspace rules, skill promotion, reflective memory, and proactive maintenance.
Prioritized action selection for AI agents. 10 needs with time-decay and tension scoring replace idle heartbeat loops with concrete next actions.
Coordination protocol for running multiple AI agents in one Telegram group chat without loops or chaos. Use when two or more bots share a Telegram chat and m...
Run a Trello-backed closed-loop delivery workflow for OpenClaw multi-agent execution. Use when a user says to run tasks from Trello automatically, keep cards...
Scale systems, software architecture, and companies with bottleneck mapping, staged leverage plans, and risk-aware execution loops.
Generate viral TikTok photo carousels using AI. Uses 6-slide formula for maximum engagement and includes learning loop for continuous improvement.
--- name: evolve description: Local DevOps/autonomy skill for OpenClaw (safe evolution loop with guardrails). metadata: { "openclaw": { "emoji": "🧬" } } --- # evolve Local DevOps/autonomy skill f
Human-in-the-loop security layer. Intercepts high-risk commands and requires push notification approval.
Real-time cost & quota guardian for AI Agents. It monitors API usage and automatically kills recursive loops or excessive reasoning to protect your wallet. O...
Interface with the SanctifAI Human-in-the-Loop API to create tasks and wait for human responses. Use when the user needs to delegate a decision, data entry, or verification task to a human via the San
Bootstraps a new OpenClaw instance with aligned model routing, consistent gateway tokens, anti-stall contracts, autonomy loop, and verification gates for sta...
Run a structured 2-agent debate loop between ChatGPT (OpenAI API) and the user's own thoughts retrieved from Supabase Open Brain via MCP, iterating up to 3 r...
Record real OpenClaw events and reactions for the current closed-loop workflow. Use for logging duplicate-skipped and proposal-created outcomes in public.ope...
超级自我优化智能体 - 多模态记忆、反馈循环、元学习、置信度校准 / Super Self-Improving Agent - Multi-modal Memory, Feedback Loops, Meta-Learning, Confidence Calibration
Inspect and create real OpenClaw proposals in public.openclaw_proposals for the current closed-loop workflow. Use for checking duplicate pending proposals an...
Make your AI agent learn and improve automatically. Reviews sessions, extracts learnings, updates memory files, and compounds knowledge over time. Set up nightly review loops that make your agent smar
Continuous LangFuse-driven optimization loop for OpenClaw/OpenRouter model routing and prompt usage controls with persistent local memory. Use when Codex nee...
Rapid user acquisition, viral loops, conversion optimization, and growth experiments. Use when working on: getting first users, improving signup/activation r...
Professional anti-giveup debugging protocol for coding tasks where the agent starts looping, deflecting to users, or trying to end early without evidence. Us...
Supervise a main agent so it defaults to execution, suppresses obvious permission loops, and escalates to the user only for true approvals or critical ambigu...
Vantage — Autonomous trading agent for Hyperliquid perpetual futures. Signal-to-execution in one loop. Runs on your machine. No cloud infra. No ongoing cost...
--- name: tdd-helper description: Lightweight helper to enforce TDD-style loops for non-deterministic agents. metadata: { "openclaw": { "requires": { "bins": ["python3", "pytest"] },