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openclaw-arsenals
openclaw-arsenals contient 33 skills collectées depuis adelpro, avec une couverture métier par dépôt et des pages de détail sur le site.
Skills dans ce dépôt
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.
Look up any arxiv paper on alphaxiv.org to get a structured AI-generated overview
Socratic questioning protocol + user communication. MANDATORY for complex requests, new features, or unclear requirements. Includes progress reporting and error handling.
Lighthouse-style efficiency audit for OpenClaw. Scores your instance A+ to F across 6 categories (context injection, cron health, session bloat, config, skills, transcripts). Identifies wasted tokens, bloated sessions, misconfigured crons, and model right-sizing opportunities. Zero dependencies (Python stdlib only).
Make your AI agent learn and improve automatically. Reviews sessions, extracts learnings, updates memory files, and compounds knowledge over time. Set up nightly review loops that make your agent smarter every day.
A multi-agent deliberation hub with 3 core agents and extensible extended agents. Can call user workspace skills when needed.
Automatically logs into email accounts (Gmail, Outlook, QQ Mail, etc.) and generates daily email summaries. Use when the user wants to get a summary of their emails, check important messages, or create daily email digests.
Enforce clean Git workflow — conventional commits, branch naming, PR etiquette, and release tagging.
GitHub Actions 워크플로우 생성, 보안 및 버전 관리 스킬. 다음 상황에서 사용: (1) 새 워크플로우 파일(.yml) 작성 시, (2) 기존 워크플로우 수정 시, (3) 액션 버전 검토 또는 업데이트 시, (4) CI/CD 보안 감사 시, (5) 'actions/', 'uses:', 'workflow', '.github/workflows' 키워드가 포함된 작업 시
GitHub 操作技能 - 创建仓库、推送代码、管理 Release。全自动,无需用户干预。
AI-powered penetration testing automation using Guardian CLI with MiniMax as Anthropic API provider
Manage Hashnode blog posts via GraphQL API. Create, update, list, and delete posts. Use when user wants to manage their Hashnode blog from OpenClaw.
This skill should be used when users want to train or fine-tune language models using TRL (Transformer Reinforcement Learning) on Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local deployment. Includes guidance on the TRL Jobs package, UV scripts with PEP 723 format, dataset preparation and validation, hardware selection, cost estimation, Trackio monitoring, Hub authentication, and model persistence. Should be invoked for tasks involving cloud GPU training, GGUF conversion, or when users mention training on Hugging Face Jobs without local GPU setup.
Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.
Generate beautiful, hand-drawn Mermaid diagrams with robust syntax (quoted labels, ELK layout). Use this skill when the user asks for "diagram", "flowchart", "sequence diagram", or "visualize this process".
Build Next.js 15 apps with App Router, server components, caching, auth, and production patterns.
Automated backup for OpenClaw instances. Backs up agents, skills, cron jobs, and memory. Supports local tar archives. Credentials, periodic scheduling, and git sync are OPT-IN only.
Instinct-based learning system for OpenClaw. Analyzes sessions, detects patterns, creates atomic learnings with confidence scoring, and suggests optimizations for self-evolution. Works alongside agent-self-improvement for complete learning: internal session analysis + external user feedback. Use when: you want your AI agent to learn from its own behavior, improve over time, discover optimization opportunities, or build a self-improving automation system. Don't use when: static agent behavior is preferred.
Convert any PDF to Markdown, JSON, and HTML using OpenDataLoader — the #1 ranked open-source PDF parser. Extract text from digital PDFs, scanned PDFs with built-in OCR, complex multi-column layouts, and data-heavy tables with 0.93 accuracy. Outputs clean Markdown for RAG pipelines, bounding-box JSON for source citations, and HTML for rich rendering. No API key required — fully self-hosted. Use when extracting text from research papers, parsing scanned documents, converting tables from reports, building RAG knowledge bases, or processing batches of PDFs for AI pipelines.
Playwright-based web scraping OpenClaw Skill with anti-bot protection. Successfully tested on complex sites like Discuss.com.hk.
Automated pull request review — fetch diffs, run checks, post structured comments, enforce quality gates.
Self-hosted private web search using SearXNG. Use when privacy is important, external APIs are blocked, you need search without tracking, or want to avoid paid search APIs.
Trigger this skill for ANY of these situations — writing OR conversation: WRITING: blog posts, articles, social media captions, LinkedIn, Twitter/X threads, Instagram, YouTube scripts, TikTok hooks, newsletters, ad copy, landing pages, pitch decks, email campaigns, product descriptions, taglines, or any content meant to attract attention. CONVERSATION: When the user is brainstorming ideas, discussing why content isn't performing, evaluating a marketing angle, planning a campaign, asking "what should I post about", comparing their idea to competitors, talking about engagement or virality, or thinking out loud about any creative or communication challenge. If a conversation touches on attention, differentiation, standing out, audiences, or messaging — this skill is relevant. Speak up proactively as a strategic advisor using the Purple Cow lens (Seth Godin + MrBeast framework), even if the user hasn't asked for content to be written yet. Never stay silent when a Purple Cow insight would sharpen the discussion.
Use when building React 18+ applications requiring component architecture, hooks patterns, or state management. Invoke for Server Components, performance optimization, Suspense boundaries, React 19 features.
Track GitHub repo metrics over time — stars, forks, watches, issues, PRs, traffic. JSON storage + trends.
Unified search tool for Google, Wikipedia, Reddit, and RSS feeds with Redis caching. Use when user asks "search for X", "who is Y", "latest news on Z".
Generic agent self-improvement skill built on OpenClaw-RL research (arxiv.org/abs/2603.10165). Captures evaluative signals (+1/-1) and directive hints from any user feedback, generates improvement suggestions.
SEO specialist agent with site audits, content writing, keyword research, technical fixes, link building, and ranking strategies.
Design, test, review, and maintain agent skills for OpenClaw systems using multi-agent iterative refinement. Orchestrates Designer, Reviewer, and Tester subagents for quality-gated skill development. Use when: user asks to "design skill", "review skill", "test skill", "audit skills", "refactor skill", or mentions "agent kit quality".
Generate clean table images from data. Perfect for Discord/Telegram where ASCII tables look broken. Supports dark/light mode, custom styling, and auto-sizing. No Puppeteer required. Companion to chart-image skill.
Generate tech news digests with unified source model, quality scoring, and multi-format output. Five-layer data collection from RSS feeds, Twitter/X KOLs, GitHub releases, Reddit, and web search. Pipeline-based scripts with retry mechanisms and deduplication. Supports Discord, email, and markdown templates.
Generate beautiful, self-contained HTML pages that visually explain systems, code changes, plans, and data. Use when the user asks for a diagram, architecture overview, diff review, plan review, project recap, comparison table, or any visual explanation of technical concepts. Also use proactively when you are about to render a complex ASCII table (4+ rows or 3+ columns) — present it as a styled HTML page instead.
Generate a comprehensive weekly recap every Friday at 8:30 AM including GitHub stats, website analytics, Play Store insights, and community activity.