Design and configure AI agents — system prompts, LLM settings, personas, and tool connections via MCP.
These skills cover the foundation of agent building: writing system prompts that shape behavior, configuring LLM parameters for different tasks, designing personas, connecting your agent to external tools via MCP servers, and building chatbot workflows. Ideal for developers building on OpenClaw, Claude Code, or any SKILL.md-compatible platform.
Write system prompts, configure LLM parameters, and set up agent behavior and constraints.
Use CodexBar CLI local cost usage to summarize per-model usage for Codex or Claude, including the current (most recent) model or a full model breakdown. Trigger when asked for model-level usage/cost data from codexbar, or when you need a scriptable per-model summary from codexbar cost JSON.
Gemini CLI for one-shot Q&A, summaries, and generation.
Manages free AI models from OpenRouter for OpenClaw. Automatically ranks models by quality, configures fallbacks for rate-limit handling, and updates opencla...
Manages free AI models from OpenRouter for OpenClaw. Automatically ranks models by quality, configures fallbacks for rate-limit handling, and updates opencla...
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.
Advanced expert in prompt engineering, custom instructions design, and prompt optimization for AI agents
Quick install — most popular build an ai agent skill:
clawdbot install pskoett/self-improving-agent3,140 skills found
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Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau...
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
Self-reflection + Self-criticism + Self-learning + Self-organizing memory. Agent evaluates its own work, catches mistakes, and improves permanently. Use when...
Local speech-to-text with the Whisper CLI (no API key).
Use CodexBar CLI local cost usage to summarize per-model usage for Codex or Claude, including the current (most recent) model or a full model breakdown. Trigger when asked for model-level usage/cost data from codexbar, or when you need a scriptable per-model summary from codexbar cost JSON.
Gemini CLI for one-shot Q&A, summaries, and generation.
Batch-generate images via OpenAI Images API. Random prompt sampler + `index.html` gallery.
Manages free AI models from OpenRouter for OpenClaw. Automatically ranks models by quality, configures fallbacks for rate-limit handling, and updates opencla...
Manages free AI models from OpenRouter for OpenClaw. Automatically ranks models by quality, configures fallbacks for rate-limit handling, and updates opencla...
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.
Persistent memory for AI agents to store facts, learn from actions, recall information, and track entities across sessions.
Humanize AI-generated text to bypass detection. This humanizer rewrites ChatGPT, Claude, and GPT content to sound natural and pass AI detectors like GPTZero,...
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau...
Orchestrate multi-agent teams with defined roles, task lifecycles, handoff protocols, and review workflows. Use when: (1) Setting up a team of 2+ agents with different specializations, (2) Defining task routing and lifecycle (inbox → spec → build → review → done), (3) Creating handoff protocols between agents, (4) Establishing review and quality gates, (5) Managing async communication and artifact sharing between agents.
AI自我改进与记忆系统 - 解决'同类错误反复犯、用户纠正不长记性'的痛点。自动捕获错误、用户纠正、最佳实践，并转化为长期记忆。
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express...
Advanced expert in prompt engineering, custom instructions design, and prompt optimization for AI agents
Stop waiting for prompts. Keep working.
clawquest-agent-mine-openclawThe managed automated mining server interface supports OpenClaw session mode and incremental event retrieval, enabling mining startup, status query, settlement, and stamina management.
Implements Manus-style file-based planning to organize and track progress on complex tasks. Creates task_plan.md, findings.md, and progress.md. Use when aske...
Anticipates needs, keeps work moving, and improves through use so the agent gets more proactive over time.
Manage Clawdbot agents: discover, profile, track capabilities, define routing hierarchy, and assign tasks. Use when: (1) Listing available agents, (2) Profiling agent capabilities and communication methods, (3) Defining agent routing (can_assign_to, reports_to, escalation_path), (4) Assigning tasks to appropriate agents, (5) Tracking agent performance and completed work, (6) Updating agent registry after changes.
AI agent skill scaffolding CLI. Create skills for OpenClaw, Moltbot, Claude, Cursor, ChatGPT, Copilot instantly. Vibe-coding ready. MCP compatible.
Use when executing implementation plans with independent tasks in the current session
At minimum you need a prompt configuration skill to define behavior, plus at least one tool skill for external capabilities. Memory and orchestration skills are added for more complex agents.
MCP (Model Context Protocol) is Anthropic's open standard for connecting AI models to external tools. MCP skills let your agent call APIs, read databases, and interact with services in a structured, permission-controlled way.