Gemini CLI for one-shot Q&A, summaries, and generation.
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20d agoDesign 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.
Gemini CLI for one-shot Q&A, summaries, and generation.
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.
Manages free AI models from OpenRouter for OpenClaw. Automatically ranks models by quality, configures fallbacks for rate-limit handling, and updates opencla...
Advanced expert in prompt engineering, custom instructions design, and prompt optimization for AI agents
Check Antigravity account quotas for Claude and Gemini models. Shows remaining quota and reset times with ban detection.
A comprehensive AI model routing system that automatically selects the optimal model for any task. Set up multiple AI providers (Anthropic, OpenAI, Gemini, Moonshot, Z.ai, GLM) with secure API key storage, then route tasks to the best model based on task type, complexity, and cost optimization. Includes interactive setup wizard, task classification, and cost-effective delegation patterns. Use when you need "use X model for this", "switch model", "optimal model", "which model should I use", or to balance quality vs cost across multiple AI providers.
Quick install — most popular build an ai agent skill:
clawdbot install pskoett/self-improving-agent3,656 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.
A fast Rust-based headless browser automation CLI with Node.js fallback that enables AI agents to navigate, click, type, and snapshot pages via structured commands.
Transcribe audio via OpenAI Audio Transcriptions API (Whisper).
Self-reflection + Self-criticism + Self-learning + Self-organizing memory. Agent evaluates its own work, catches mistakes, and improves permanently. Use when...
Gemini CLI for one-shot Q&A, summaries, and generation.
A self-evolution engine for AI agents. Analyzes runtime history to identify improvements and applies protocol-constrained evolution.
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.
Ultimate AI agent memory system for Cursor, Claude, ChatGPT & Copilot. WAL protocol + vector search + git-notes + cloud backup. Never lose context again. Vibe-coding ready.
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...
Give your AI agent eyes to see the entire internet. 7500+ GitHub stars. Search and read 14 platforms: Twitter/X, Reddit, YouTube, GitHub, Bilibili, XiaoHongS...
Transform AI agents from task-followers into proactive partners with memory architecture, reverse prompting, and self-healing patterns. Lightweight version f...
Transform AI agents from task-followers into proactive partners that anticipate needs and continuously improve. Now with WAL Protocol, Working Buffer, Autonomous Crons, and battle-tested patterns. Part of the Hal Stack 🦞
A self-evolution engine for AI agents. Analyzes runtime history to identify improvements and applies protocol-constrained evolution.
Headless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection
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.
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau...
Humanize AI-generated text to bypass detection. This humanizer rewrites ChatGPT, Claude, and GPT content to sound natural and pass AI detectors like GPTZero,...
Transform AI agents from task-followers into proactive partners that anticipate needs and continuously improve. Includes WAL Protocol, Working Buffer, Autono...
Query and manage GitHub repositories - list repos, check CI status, create issues, search repos, and view recent activity.
A fast Rust-based headless browser automation CLI with Node.js fallback that enables AI agents to navigate, click, type, and snapshot pages via structured commands.
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...
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.