project-specification

pytest-config

Cross-plugin testing quality metrics, coverage thresholds, and anti-patterns

python-testing

test-updates

Retrospective evaluation and improvement of skills, agents, commands, and hooks

Generate or remediate documentation with human-quality writing and style

spec-writing

speckit-orchestrator

task-planning

Manage and inspect the OpenClaw multi-agent gateway — list agents, check model health, view routing rules, manage crons, inspect context budgets, and run system diagnostics.

Kaspa News — let your Claw know everything about Kaspa in one place: latest news, core development updates, ecosystem launches, community talks, and weekly reports summary. Use when someone asks what’s happening with Kaspa now, including dev/builder activity, top tweets, videos, and Reddit updates. No API keys needed.

Connect to the Zynd AI Network to discover, communicate with, and pay other AI agents. Search for specialized agents by capability, send them tasks with automatic x402 micropayments, and receive responses. Enables multi-agent collaboration across the open agent economy.

Full project audit — launches 5 parallel AI agents (security, bugs, dead code, architecture, performance) to scan your codebase read-only, then compiles a unified report with health grade (A+ to F) and offers surgical fixes. Language-agnostic. Zero config.

Control a remote Obsidian vault through Fast Note Sync. Use when reading, searching, writing, or appending notes in Obsidian from OpenClaw, especially for remote vault workflows that do not have direct filesystem access.

Find domain experts, thought leaders, and subject-matter authorities on any topic. Searches Twitter and Reddit for people who demonstrate deep knowledge, frequent discussion, and above-average expertise in a specific field. Expert discovery, talent sourcing, researcher identification, and KOL (Key Opinion Leader) mapping.

Lead Generation — Find high-intent buyers in live Twitter, Instagram, and Reddit conversations. Auto-researches your product, generates targeted search queries, and discovers people actively looking for solutions you offer. Social selling and prospecting powered by 1.5B+ indexed posts via Xpoz MCP.

Turn a name into a full dossier in seconds. Feed in a name + company (or email, or LinkedIn URL) and get back a rich profile with social links, bio, company intel, recent activity, and personalized talking points. Aggregates data from multiple public sources — LinkedIn, Twitter, GitHub, company websites, news — so you can skip the manual research and jump straight to personalized outreach. Your agent does the detective work while you close deals. Supports single enrichment, batch processing, and multiple output formats (JSON, Markdown, CRM-ready). Use when researching prospects, preparing for sales calls, personalizing cold outreach, or building lead lists. Pairs perfectly with trawl for autonomous lead gen → enrichment → outreach pipelines.

Never walk into a meeting unprepared again. Your agent researches all attendees before calendar events—pulling LinkedIn profiles, recent company news, mutual connections, and conversation starters. Generates a briefing doc with talking points, icebreakers, and context so you show up informed and confident. Triggered automatically before meetings or on-demand. Configure research depth, advance timing, and output format. Walking into meetings blind is amateur hour—missed connections, generic small talk, zero leverage. Use when setting up meeting intelligence, researching specific attendees, generating pre-meeting briefs, or automating your prep workflow.

Writing skill for practitioner judgment under ambiguity, critique, trade-offs, and incomplete information. Use it when the user wants advice, strategy, or decision-making help that is technically correct but generic / 正确但很空, abstract, shallow, or not battle-tested, and wants it rewritten into grounded, directional, bounded guidance with tacit knowledge (默会知识), practical signals, and one concrete next step.

Use GitHub Spec Kit for Spec-Driven Development. Initialize projects, create specifications, and build software using the /speckit.* slash commands. Supports Claude Code, GitHub Copilot, Gemini CLI, and Codebuddy.

Detect prompt injection attacks and adversarial inputs in user text before passing it to your LLM. Use when you need to validate or screen user-provided text for jailbreak attempts, instruction overrides, role-play escapes, or other prompt manipulation techniques. Returns a safety verdict, risk score (0–1), and threat categories. Ideal for guarding AI pipelines, chatbots, and any application that feeds user input into a language model.

Fetch web pages and extract readable content for AI use. Use when reading, summarizing, or crawling a specific URL or small set of URLs. Prefer low-friction URL-to-Markdown services first, then fall back to browser-based retrieval, search snippets, or cached/indexed copies when sites are protected by Cloudflare or similar bot checks.

Automatically create clips and videos from media files in a specified folder. Uses Agent Swarm for intelligent task delegation and supports cron-based scheduling.

Your AI's Smart Traffic Director—precisely matching OpenClaw tasks to the perfect LLM. Intelligent orchestration with OpenRouter. Security-focused: no gateway auth exposure.

Scans the skills folder for new, unused, or missing dependencies; fixes requirements.txt; and tests a skill in or out of sandbox.

Draft and manage vendor outreach emails for quotes/availability, follow-up cadence, and response summarization into structured decision tables. Use when contacting hotels, transport vendors, or activity providers.

AI health coach with dual personality modes (Supportive Mentor or Savage Roaster). Tracks nutrition from food photos, provides data-driven coaching, and holds you accountable.

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Quality audit for merged GitCode PRs: sample by time range or repo list, check compliance (labels, comments, tests, size, etc.), output table. Use when user asks to 抽检/质量检查 已合入的 PR 规范性、多仓库 PR、或 将结果整理成表格. Multi-repo (owner/repo). Python 3.7+ stdlib only.

Track and control token consumption across OpenClaw cron jobs

Call real humans to test your product (URL or app). Get structured usability feedback with screen recordings, NPS scores, and AI-aggregated findings.

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name: wechat_messaging

Binance Spot request using the Binance API. Authentication requires API key and secret key. Supports testnet and mainnet.

Generate CLI tools from OpenAPI specs. Built for AI agents who hate writing curl commands.

Email management and automation. Send, read, search, and organize emails across multiple providers.

每日 Git 备份。提交工作区所有变更，记录变更摘要。触发时机：cron 定时任务或手动调用。

每周依赖检查。检查 Node.js、npm 版本和全局包是否有可用更新。触发时机：cron 定时任务或手动调用。

使用本地邮件服务器收发我们自己域名的邮件。固定脚本位于 scripts/ 目录，直接执行即可。发送失败或密码遗忘时联系 小爪子。

每日安全检查。检查 OpenClaw Gateway、磁盘空间、内存使用等系统健康状态。触发时机：cron 定时任务或手动调用。

OpenClaw Agent 通过云服务器与天猫精灵双向通信的技能。触发时机：(1) 用户要求与天猫精灵通信或接收天猫精灵消息时 (2) 配置天猫精灵与 OpenClaw 的连接时 (3) 天猫精灵发送指令到 OpenClaw 需要处理时。

创建、编辑、优化或审查 OpenClaw AgentSkills 技能。当创建新技能或修改现有技能时触发。提供完整的工作流程指引：技能结构设计、frontmatter 规范、_meta.json 格式、ClawHub scanner 规则、渐进式披露设计、validation checklist 及发布流程。输出：SKILL.md + _meta.json。

Use before any creative work - creating features, building components, adding functionality, or modifying behavior - guides through exploration, questioning, design proposal, and spec documentation before any implementation

Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - presents structured options for merge, PR, or cleanup; adapted for OpenClaw git workflow without worktrees

Use when encountering any bug, test failure, or unexpected behavior - enforces systematic four-phase debugging: root cause investigation, pattern analysis, hypothesis testing, and evidence-based fix verification

Use when implementing any feature or bugfix, before writing implementation code - enforces RED-GREEN-REFACTOR cycle: write failing test first, verify it fails, write minimal code, verify it passes, then refactor

Use when you have a spec or requirements for a multi-step task, before touching code - guides writing comprehensive implementation plans with bite-sized tasks, TDD, and DRY/YAGNI principles

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