Manage MoreLogin anti-detect browser profiles and cloud phones through the official Local API (http://127.0.0.1:40000), including browser profile lifecycle,...
Query and answer questions about Volcengine API specifications. Trigger this skill whenever a user asks about Volcengine API parameters, error codes, request...
Smart LLM routing brain for OpenClaw. Auto-dispatches tasks to Claude, GPT, Gemini, DeepSeek, Kimi via Evolink API. Cascade strategy cuts costs 60-85%. One A...
Operate the Emperor Claw control plane as the Manager for an AI workforce: interpret goals into projects, claim and complete tasks, manage agents, incidents,...
Use when user mentions "胖鱼朋友圈" and wants to write a WeChat Moments post. Analyzes user's past writing style from reference materials, guides through a conversational process to understand sh
MANDATORY security foundation for OpenClaw. Consolidate scattered API keys and credentials into a secure .env file with proper permissions. Includes GPG encryption for high-value secrets, credential r
When the user wants to add illustrations to an article or blog post. Triggers on: "illustrate article", "add images to article", "generate illustrations", "article images", or requests to visually enh
Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup
Interact in a shared 256x256 pixel grid by placing one pixel per hour, enabling study of multi-agent cooperation, competition, and emergent behaviors.
Personal AI chief of staff — a complete life management system for OpenClaw. Proactive morning briefings, evening reviews, weekly reports, fitness tracking, career management, project tracking, smar
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
Methodical end-to-end software delivery orchestrator for Codex CLI with dual project modes (greenfield for new builds, brownfield for existing systems) and dual execution modes (autonomous and gated).
Stop AI agents from secretly bypassing your rules. Mechanical enforcement with git hooks, secret detection, deployment verification, and import registries. B...
Track and manage income, expenses, task pricing, and generate daily, weekly, and monthly financial reports locally without external data sharing.
Complete zero-dependency memory system for AI agents — file-based architecture, daily notes, long-term curation, context management, heartbeat integration, a...
Setup production-grade .claude/ AI collaboration layer for projects. Use when an agent starts using Claude Code for development, enters a new project directo...
Professional resume analysis and optimization for UK job market. Use when user needs to (1) Analyze resume quality against a job description, (2) Get ATS com...
Your agent loses context between sessions and performs familiarity instead of genuine recall. inner-life-memory transforms passive logging into active develo...
Your agent repeats the same patterns without learning. inner-life-reflect adds self-reflection with trigger detection and quality gates — your agent observes...
Academic paper summarization with dynamic SOP selection based on paper topic classification. Supports method, dataset, multimodal, and other paper types with...
Analyze facial/body photos to detect signs of cosmetic surgery or aesthetic procedures. Use when the user uploads a photo and asks to identify cosmetic work,...
Meta-skill that orchestrates the full API development lifecycle — from design through documentation — by coordinating specialized skills, agents, and commands into a seamless build workflow.
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. Par
Test-driven behavioral verification for AI agents. Catches silent degradation when agent loads memory but doesn't apply learned behaviors. Use when building agent with persistent memory, testing after