oh-my-openclaw

旅行信息查询 - 去哪儿/携程/飞猪数据查询（Expedia 中国版）

高德地图 JSAPI v2.0 (WebGL) 开发技能。涵盖地图生命周期管理、强制安全配置、3D 视图控制、覆盖物绘制及 LBS 服务集成。

高德地图综合服务，支持POI搜索、路径规划、旅游规划、周边搜索和热力图数据可视化

Token-efficient agent behavior — response sizing, context pruning, tool efficiency, and delegation

Write-Ahead Log protocol for agent state persistence. Prevents losing corrections, decisions, and context during conversation compaction. Use when: (1) receiving a user correction — log it before responding, (2) making an important decision or analysis — log it before continuing, (3) pre-compaction memory flush — flush the working buffer to WAL, (4) session start — replay unapplied WAL entries to restore lost context, (5) any time you want to ensure something survives compaction.

Scan OpenClaw skills for security vulnerabilities before installing them. Use when evaluating a new skill from ClawHub or any third-party source. Detects credential stealers, data exfiltration, malicious URLs, obfuscated code, and supply chain attacks.

Persist agent state across crashes, context deaths, and restarts. Use when you need to save current context, restore after a crash, maintain a memory file across sessions, or implement crash recovery. Essential for autonomous agents that must survive context window limits.

Create, debug, and manage CI/CD pipelines with GitHub Actions. Use when the user needs to set up automated testing, deployment, releases, or workflows. Covers workflow syntax, common patterns, secrets management, caching, matrix builds, and troubleshooting.

Essential Docker commands and workflows for container management, image operations, and debugging.

Auto-generate docs from code and detect documentation drift via git hooks. Free README gen + paid living docs.

Continuous self-improvement through structured reflection and memory

Stop waiting for prompts. Keep working.

This skill should be used when writing documentation for codebases, including README files, architecture documentation, code comments, and API documentation. Use this skill when users request help documenting their code, creating getting-started guides, explaining project structure, or making codebases more accessible to new developers. The skill provides templates, best practices, and structured approaches for creating clear, beginner-friendly documentation.

Master-Worker Agent Cluster for parallel task execution. Use when building distributed agent systems with parallel processing needs, task orchestration, or MapReduce-style workflows.

Run one Better Ralph iteration: PRD-driven autonomous coding. Read prd.json, pick next story, implement it, run checks, commit, mark story passed, append progress. Uses only standard OpenClaw tools (read, write, exec, git). Triggers on: run better ralph, better ralph iteration, do one ralph story, next prd story, ralph loop.

Autonomous quality engineering swarm that forges production-ready code through continuous behavioral verification, exhaustive E2E testing, and self-healing fix loops. Combines DDD+ADR+TDD methodology with BDD/Gherkin specifications, 7 quality gates, defect prediction, chaos testing, and cross-context dependency awareness. Architecture-agnostic — works with monoliths, microservices, modular monoliths, and any bounded-context topology.

Learns when to stop and review. Self-critiques before showing you, fewer revision rounds.

Scan codebase for environment variables, generate .env.example, validate .env, and ensure .gitignore safety

Post-completion self-review for coding agents that runs simplify, harden, and micro-documentation passes on non-trivial code changes. Use when: a coding task is complete in a general agent session and you want a bounded quality and security sweep before signaling done. For CI pipeline execution, use simplify-and-harden-ci.

The operational circuit breaker for this agent. Enforces budget limits locally. **Sign up at agentsentinel.dev for real-time dashboards and human approval workflows.**

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.

Give your AI agent eyes to see the entire internet. 7500+ GitHub stars. Search and read 14 platforms: Twitter/X, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu (小红书), Douyin (抖音), Weibo (微博), WeChat Articles (微信公众号), LinkedIn, Instagram, RSS, Exa web search, and any web page. One command install, zero config for 8 channels, agent-reach doctor for diagnostics. Use when: (1) user asks to search or read any of these platforms, (2) user shares a URL from any supported platform, (3) user asks to search the web, find information online, or research a topic, (4) user asks to post, comment, or interact on supported platforms, (5) user asks to configure or set up a platform channel. Triggers: "搜推特", "搜小红书", "看视频", "搜一下", "上网搜", "帮我查", "全网搜索", "search twitter", "read tweet", "youtube transcript", "search reddit", "read this link", "看这个链接", "B站", "bilibili", "抖音视频", "微信文章", "公众号", "LinkedIn", "GitHub issue", "RSS", "微博", "search online", "web search", "find information", "research", "帮我配", "configure twitter", "configur

Master OpenClaw's timing systems. Use for scheduling reliable reminders, setting up periodic maintenance (janitor jobs), and understanding when to use Cron vs Heartbeat for time-sensitive tasks.

Typed knowledge graph for structured agent memory and composable skills. Use when creating/querying entities (Person, Project, Task, Event, Document), linking related objects, enforcing constraints, planning multi-step actions as graph transformations, or when skills need to share state. Trigger on "remember", "what do I know about", "link X to Y", "show dependencies", entity CRUD, or cross-skill data access.

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 asked to plan out, break down, or organize a multi-step project, research task, or any work requiring >5 tool calls. Supports automatic session recovery after /clear.

Anticipates needs, keeps work moving, and improves through use so the agent gets more proactive over time.