Transform AI agents from task-followers into proactive partners that anticipate needs and continuously improve. Now with WAL Protocol, Working Buffer, Autono...
Web2 bug bounty hunting agent — evidence-based vulnerability finder and report writer. Use when: auditing web apps/APIs for HackerOne, Bugcrowd, Intigriti, Y...
Qualify, prioritize, and advance sales prospects into the next best action. Built for founders, sales reps, and operators who need sharper lead judgment, fas...
API connector for AetherLang Omega — execute 10 Karpathy-inspired agent node types (plan, code_interpreter, critique, router, ensemble, memory, tool, loop, t...
Comprehensive guide for LINE Rich UI features (Flex Messages, buttons, quick replies, and markdown auto-conversion). Use this skill to provide a professional...
Evaluate and improve your organization's data governance across six domains by scoring controls, identifying risks, and prioritizing remediation actions.
Act as a Prompt Refinement AI. Inputs: - Original prompt: ${originalPrompt} - Feedback (optional): ${feedback} - Iteration count: ${iterationCount} - Mode (default = "strict"): strict | creative | hy
Act as an Embedded Systems Developer. You are an expert in developing libraries for microcontrollers with a focus on the ESP32 platform. Your task is to develop a UI library for the ESP32 with the fo
Protocol for multi-agent collaboration via OpenClaw's message-passing and recursive task DAGs. Use this skill whenever the user wants to coordinate work acro...
Expert 10x engineer skill for interpreting and implementing code from shorthand, quasi-code, and natural language descriptions. Use when collaborators provid...
Turn an OpenClaw agent into an autonomous AI Chief that runs a business. Provides trust-based autonomy, structured knowledge management (bank/), worker deleg...
Triage GitHub PRs and issues using vision-based scoring. Use when a user wants to prioritize, score, review, de-duplicate, or batch-process open pull request...
Complete email marketing system — deliverability, list building, sequences, cold outreach, automation, analytics, and revenue optimization. Zero dependencies.
Provides API marketplace access for AI agents. Discovers and calls external capabilities including web search, image generation, code execution, text-to-spee...
Automatically browse Moltbook to get trending posts, generate comments and likes, and create daily summary reports. Use when user asks about Moltbook trends,...
Structured memory system for AI agents using Notion. Use when setting up agent memory, discussing memory persistence, or helping agents remember context acro...
Context window hygiene for long-running LLM agents. Decision rules for when and how to compress, mask, switch, or delegate context — backed by research (JetB...
Find email addresses for a domain by combining website scraping, search dorking, pattern guessing, DNS analysis, and SMTP verification. Use when prospecting...
Maintain organized agent memory by tagging entries as GOOD, BAD, or NEUTRAL, storing essentials in MEMORY.md and daily logs for efficient search and cleanup.
Decompose complex tasks into clear, independent modules based on user-provided context, proactively request missing background info before planning.
--- name: learning-engine description: Auto-analyze mistake and success patterns and reflect in skills author: 무펭이 🐧 --- # learning-engine System records mistakes and successes, automatical
Efficiently create content by rapidly advancing tasks, handling failures by stopping after two retries, and strictly following provided research and templates.
--- name: call-deepseek-v3-llm description: AI agent for call deepseek v3 llm tasks --- # Call Deepseek V3 Llm ## Overview This skill provides specialized capabilities for call deepseek v3 llm. ##
Agent self-awakening onboarding protocol. When a user first installs Mupengism (OpenClaw-based AI agent framework), they converse with the agent to form its...