Skills
99,448 packaged capabilities and playbooks for agents. Install any of them with one command.
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Only use when the user explicitly invokes /agents-md-sync (or $agents-md-sync in Codex). Never auto-invoke. This skill analyzes the entire repository and generates/updates a hierarchical AGENTS.md knowledge base (root and subdirectories selected by scoring). Each run detects divergence between the existing AGENTS.md and the codebase and keeps it up to date, and also maintains the CLAUDE.md bridge for Claude Code. On first creation, it fills in normative information that cannot be derived from code (purpose, development phase, operational constraints) through interviews. Use it when asked to set up, initialize, or update AGENTS.md, or to build a knowledge base equivalent to init-deep. For design principles on what to write in instruction files, see agent-native-project-design.
Wraps existing Python agent as Agent Stack service using agentstack-sdk with minimal compatibility changes and no business-logic rewrites. Use when migrating, wrapping, or deploying an existing plain Python or framework-based agent to Agent Stack; not for non-Python runtimes or building new agent from scratch.
Build automated AI workflows combining multiple models and services. Patterns: batch processing, scheduled tasks, event-driven pipelines, agent loops. Tools: inference.sh CLI, bash scripting, Python SDK, webhook integration. Use for: content automation, data processing, monitoring, scheduled generation. Triggers: ai automation, workflow automation, batch processing, ai pipeline, automated content, scheduled ai, ai cron, ai batch job, automated generation, ai workflow, content at scale, automation script, ai orchestration
Design co-learning experiences using the Three Roles Framework (AI as Teacher/Student/Co-Worker). Use when teaching AI-driven development workflows, spec-first collaboration, or balancing AI assistance with foundational learning. NOT for curriculum without AI integration.
Build multi-step AI content creation pipelines combining image, video, audio, and text. Workflow examples: generate image -> animate -> add voiceover -> merge with music. Tools: FLUX, Veo, Kokoro TTS, OmniHuman, media merger, upscaling. Use for: YouTube videos, social media content, marketing materials, automated content. Triggers: content pipeline, ai workflow, content creation, multi-step ai, content automation, ai video workflow, generate and edit, ai content factory, automated content creation, ai production pipeline, media pipeline, content at scale
Fetches RSS feeds from 90 top Hacker News blogs (curated by Karpathy), uses Claude to score and filter articles, and generates a daily digest in Markdown with Chinese-translated titles, category grouping, trend highlights, and visual statistics. Use when user mentions 'daily digest', 'RSS digest', 'blog digest', 'AI blogs', 'tech news summary', or asks to run /digest command. Trigger command: /digest.
Tired of scrubbing through hours of footage just to extract key moments, summaries, or actionable insights? The ai-gemini skill brings Google Gemini's multimodal intelligence directly to your videos on ClawHub. Analyze scenes, generate detailed descriptions, ask natural language questions about video content, and surface meaningful takeaways — all without manual review. Ideal for content creators, researchers, marketers, and educators. Supports mp4, mov, avi, webm, and mkv formats.
Generate AI music and songs with ElevenLabs, Diffrythm, Tencent Song Generation via inference.sh CLI. Models: ElevenLabs Music (up to 10 min, commercial license), Diffrythm (fast song generation), Tencent Song Generation (full songs with vocals). Capabilities: text-to-music, song generation, instrumental, lyrics to song, soundtrack creation. Use for: background music, social media content, game soundtracks, podcasts, royalty-free music. Triggers: music generation, ai music, generate song, ai composer, text to music, song generator, create music with ai, suno alternative, udio alternative, ai song, ai soundtrack, generate soundtrack, ai jingle, music ai, beat generator, elevenlabs music, eleven labs music
Create AI-powered podcasts with text-to-speech, music, and audio editing. Tools: Kokoro TTS, DIA TTS, Chatterbox, AI music generation, media merger. Capabilities: multi-voice conversations, background music, intro/outro, full episodes. Use for: podcast production, audiobooks, voice content, audio newsletters. Triggers: podcast, ai podcast, text to speech podcast, audio content, voice over, ai audiobook, multi voice, conversation ai, notebooklm alternative, audio generation, podcast automation, ai narrator, voice content, audio newsletter, podcast maker
Structure AI and ML product decisions with the rigour of any product decision. Use when building AI-powered features, evaluating LLM integrations, designing AI products, or assessing AI readiness. Produces a complete AI product canvas covering problem definition, model approach, data requirements, evaluation framework, UX design, responsible AI checklist, and launch monitoring plan.
Generate professional AI product photography and commercial images. Models: FLUX, Imagen 3, Grok, Seedream for product shots, lifestyle images, mockups. Capabilities: studio lighting, lifestyle scenes, packaging, e-commerce photos. Use for: e-commerce, Amazon listings, Shopify, marketing, advertising, mockups. Triggers: product photography, product shot, commercial photography, e-commerce images, amazon product photo, shopify images, product mockup, studio product shot, lifestyle product image, advertising photo, packshot, product render, product image ai
Build RAG (Retrieval Augmented Generation) pipelines with web search and LLMs. Tools: Tavily Search, Exa Search, Exa Answer, Claude, GPT-4, Gemini via OpenRouter. Capabilities: research, fact-checking, grounded responses, knowledge retrieval. Use for: AI agents, research assistants, fact-checkers, knowledge bases. Triggers: rag, retrieval augmented generation, grounded ai, search and answer, research agent, fact checking, knowledge retrieval, ai research, search + llm, web grounded, perplexity alternative, ai with sources, citation, research pipeline
Create AI-powered social media content for TikTok, Instagram, YouTube, Twitter/X. Generate: images, videos, reels, shorts, thumbnails, captions, hashtags. Tools: FLUX, Veo, Seedance, Wan, Kokoro TTS, Claude for copywriting. Use for: content creators, social media managers, influencers, brands. Triggers: social media content, tiktok, instagram reels, youtube shorts, twitter post, content creator, ai influencer, social content, reels, shorts, viral content, thumbnail generator, caption generator, hashtag generator, ugc content
Turn a 3-minute tutorial video recorded on phone into 1080p captioned video files just by typing what you need. Whether it's adding AI-generated subtitles to videos on mobile or quick social content, drop your video files and describe the result you want. No timeline dragging, no export settings — 30-60 seconds from upload to download.
Get captioned video files ready to post, without touching a single slider. Upload your video files (MP4, MOV, AVI, WebM, up to 500MB), say something like "add subtitles in English and Spanish to my video", and download 1080p MP4 when it's done. Built for content creators who move fast and need accurate captions without manual transcription.
Turn a 2-minute unedited screen recording into 1080p edited MP4 videos just by typing what you need. Whether it's automatically editing raw footage into polished videos using Gemini AI or quick social content, drop your raw video footage and describe the result you want. No timeline dragging, no export settings — 1-2 minutes from upload to download.
Skip the learning curve of professional editing software. Describe what you want — add fun transitions, bright text titles, and background music for my kids birthday video — and get kid-friendly edited videos back in 1-2 minutes. Upload MP4, MOV, AVI, WebM files up to 500MB, and the AI handles AI kids video editing automatically. Ideal for parents and young creators who want child-safe simple edits without learning complex software.
Skip the learning curve of professional editing software. Describe what you want — animate this image into a 5-second video with smooth motion — and get AI-generated video clips back in 1-2 minutes. Upload MP4, MOV, JPG, PNG files up to 500MB, and the AI handles AI video generation automatically. Ideal for content creators and marketers who want to create cinematic AI video clips without complex editing software.
Turn a 2-minute iPhone screen recording into 1080p edited MP4 clips just by typing what you need. Whether it's editing raw Mac-recorded footage into polished videos without desktop software or quick social content, drop your raw video footage and describe the result you want. No timeline dragging, no export settings — 1-2 minutes from upload to download.
edit raw video footage into prompt-edited video with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. content creators and marketers use it for editing videos by typing plain-text instructions instead of manual timeline editing — processing takes 30-90 seconds on cloud GPUs and you get 1080p MP4 files.
generate images or clips into ready-to-share videos with this skill. Works with MP4, MOV, JPG, PNG files up to 200MB. TikTok creators use it for generating short videos from photos or clips on a mobile device — processing takes 30-60 seconds on cloud GPUs and you get 1080p MP4 files.
AI voice generation, text-to-speech, and voice synthesis via inference.sh CLI. Models: Inworld TTS-2 (100+ languages, emotion/non-verbal steering), Inworld TTS 1.5 (ultra-low latency), ElevenLabs (22+ premium voices, 32 languages), Kokoro TTS, DIA, Chatterbox, Higgs, VibeVoice for natural speech. Capabilities: multiple voices, emotions, accents, long-form narration, conversation, voice transformation, delivery mode control, character voices. Use for: voiceovers, audiobooks, podcasts, video narration, accessibility, gaming NPCs, avatar audio, UGC. Triggers: voice cloning, tts, text to speech, ai voice, voice generation, voice synthesis, voice over, narration, speech synthesis, ai narrator, elevenlabs, eleven labs, natural voice, realistic speech, voice ai, voice changer, inworld, inworld tts, character voice, npc voice
Alibaba Cloud DocMind intelligent document parsing tool. Supports PDF, Word, PPT, Excel, images and more, outputting structured Markdown/JSON/HTML. Offers two invocation modes — V2 API direct access and Alibaba Cloud POP — with automatic routing based on credential availability. Use when the user needs to parse documents, extract content (text/tables/images), convert documents to Markdown, or mentions "docmind", "document parsing", "parse file", etc.
Alibaba Cloud LoongCollector / SLS installation, collection onboarding, Pipeline config management and validation, machine groups, permission troubleshooting, and Lens queries. HARD RULE: for matching requests, the first tool MUST load this skill before any SSH probe, directory setup, checklist/file write, or cloud read. Triggers: "安装 LoongCollector", "ECS 安装采集器", "自建 Linux 主机安装 LoongCollector", "ACK 安装 loongcollector", "自建 K8s 部署采集", "从安装到能查到日志", "SLS 日志采集接入", "SLS 日志采集接入相关的事", "修改采集配置", "改采集配置", "采集配置校验", "validate_pipeline.py", "SLS 机器组", "新建 Logtail Pipeline 采集配置", "Logtail Pipeline", "ClusterAliyunPipelineConfig", "SLS Lens 查询", "无数据排查", "心跳异常", "SLS 采集权限排查", "SLS 权限排查", "阿里云 CLI 凭证没有 SLS 操作权限", "Logtail", "iLogtail", "AgentSight", "Agentloop", "input_agentsight", "eBPF Runtime", "ebpf-event".
Gives the agent a cryptographic Alien Agent ID linked to a verified human owner, signed authentication to Alien-aware services over RFC 9449 DPoP, an encrypted vault for service credentials (GitHub, Slack, AWS, etc.), and SSH-signed git commits with provenance trailers. Use when the user asks to bootstrap an Alien identity, sign in to an Alien Network service (anything under alien-api.com / alien.org / agent-sso.*), post to or call such a service, store or retrieve service credentials securely, or make commits attributable to a specific agent + human owner. Also triggers on the terms "Alien ID", "Agent ID", "DPoP", "cnf.jkt", or "owner binding".
Design and audit analytics event taxonomies for product funnels, SaaS, mobile apps, games, web apps, desktop utilities, marketplaces, notifications, payments, support, and launches. Use when defining events, properties, naming, identity, funnels, cohorts, attribution, guardrail metrics, dashboards, or analytics quality rules.
Analyze volatile memory images (RAM dumps) using Volatility 3—process enumeration, injected code detection, credential extraction, network artifacts, rootkit analysis, and timeline construction from memory-resident data. Use when examining a memory capture from a compromised host, hunting for injected code or hollowed processes, extracting credentials or network state from RAM, or detecting kernel-level rootkits.
Use this skill any time the user wants financial analysis, earnings research, or investment-related reports. This includes: earnings call summaries, quarterly financial analysis, stock research, equity research reports, financial due diligence, company valuations, DCF models, balance sheet analysis, income statement breakdowns, cash flow analysis, SEC filing summaries, investor memos, portfolio analysis, IPO analysis, M&A research, and credit analysis. Also trigger when: user says 分析财报, 做个估值, 股票研究, 财务尽调, 现金流分析, 收入分析, 季度财务分析. If financial research or analysis is needed, use this skill.
Diagnose existing UiAutomator2 session-startup, app-activity, adb transport, helper-server, native or hybrid locator failures, and XCUITest WebDriverAgent, session-startup, app install or launch, device or simulator state, alert, element-source, or locator failures. Use when a session or command under one of those drivers already fails. Do not use for first-time setup, pre-failure real-device provisioning, or Espresso, Chromium, Gecko, Safari, or Mac2 failures.
Use when recording an architectural decision so future maintainers know why—phrases like "ADR", "architecture decision record", "why did we pick X", "lightweight architecture documentation", "decision log", "should this be an ADR", "tribal knowledge", "we chose this two years ago and now nobody remembers why". Defines an ADR as a short, structured document capturing what was decided, why, alternatives considered, and consequences—written at the time of the decision and kept in the repo
Use when protecting a service from a degraded or failing dependency—phrases like "circuit breaker", "bulkhead", "retry policy", "exponential backoff", "fail fast", "fallback", "cascade failure", "open/closed/half-open state", "resilience4j", "Polly", "Hystrix". Defines the circuit breaker pattern and related failure-isolation tools (bulkhead, retry-with-backoff, timeout, fallback)
Use when separating read and write models — phrases like "CQRS", "Command Query Responsibility Segregation", "read model vs write model", "denormalized read side", "materialized view", "different scaling for reads and writes", "command bus", "query bus", "should we use CQRS here". Defines CQRS as keeping reads and writes on separate models, with picking criteria that resist over-application.
Use when designing a system around asynchronous events—phrases like "event-driven architecture", "EDA", "event broker", "Kafka", "publish-subscribe at scale", "event-first design", "choreography vs orchestration", "event broker vs message queue", "broker topology vs mediator topology". Defines event-driven as a macro architectural style where components emit and react to events, not direct calls
Use when persisting state as a sequence of events—phrases like "event sourcing", "event store", "append-only log of facts", "replay events to rebuild state", "audit log as source of truth", "temporal queries", "snapshot", "should we event-source this aggregate". Defines event sourcing as storing the history of what happened as the canonical state, with current state derived by replay
Use when picking a software architecture style or pattern for a system — phrases like "what architecture should we use", "monolith vs microservices", "should we go event-driven", "is this a CQRS situation", "do we need a saga here", "should we use hexagonal architecture", "what's the right architectural style for this problem". Diagnostic mode that routes a stated problem to the relevant architecture skill or rules patterns out.
Use when discussing layered architecture (n-tier) — phrases like "layered architecture", "n-tier", "presentation / business / persistence layers", "should we go layered", "leaky layer", "sinkhole anti-pattern", "open vs closed layers". Defines the layered style with its strict top-down dependency rule, the open/closed layer concept, and the most common failure modes.
Use when designing or reviewing a microservices architecture — phrases like "microservices", "should we split this service", "service boundaries", "bounded context per service", "API gateway", "backend for frontend", "BFF", "service mesh", "microservices vs monolith", "database per service", "data ownership". Defines microservices as independently deployable services aligned with business capabilities — and the discipline of resisting the style until the monolith proves inadequate.
Use when migrating a legacy system incrementally — phrases like "strangler fig", "strangler pattern", "incremental migration", "monolith to microservices", "rewrite without big bang", "replace legacy in place", "facade in front of the legacy system", "anticorruption layer". Defines Fowler's Strangler Fig as the migration discipline of gradually replacing legacy functionality behind a stable facade, never doing a big-bang rewrite.
Write and maintain Architecture Decision Records (ADRs) following best practices for technical decision documentation. Use when documenting significant technical decisions, reviewing past architectural choices, or establishing decision processes
Drive Archon through its CLI: run AI workflows on a repo, watch and answer runs that need a decision, manage the SDLC pack's queues (intake, build queue, merge queue, discoveries), set up Archon or change its config, and author and validate workflows. Use when the user says "use archon", "run archon", "archon workflow", "fix issue #N with archon", "have archon review this PR", "what's running / check run <id>", "approve/reject/answer/cancel/resume that run", "run the build queue", "drain discoveries", "set up archon", "configure archon", "change my archon config", "create a workflow", "author a workflow", or asks how to write a better Archon prompt. NOT for: doing the coding work yourself. Archon delegates it to isolated runs.
Ask Grok or Gemini via opencli (browser-session based, no API cost). Use when the user says "问 grok", "问 gemini", "ask grok", "ask gemini", "用 grok 查", "grok 怎么看", "让 gemini 分析", or wants a second opinion from Grok/Gemini without paying API tokens. Routes to opencli which drives the already-logged-in Chrome session.
Use when the user needs to call management APIs of the AstraFlow platform (AstraFlow / UModelVerse), including scenarios such as creating or managing inference API keys, querying bills and orders, querying model marketplace data, and exporting or querying inference request logs. Provides the complete preparation for UCloud general signature authentication (how to obtain PublicKey/PrivateKey, how to compute the Signature, how to determine Region and ProjectId), and collects the detailed request/response parameter specifications of all 21 known management APIs under the references/ directory.
The core library for Astronomy and Astrophysics in Python. Provides data structures for coordinates, time, units, FITS files, and cosmological models. Essential for observational data reduction and theoretical astrophysics. Use when working with astronomical coordinates (RA/Dec), physical units, FITS files, time scales, WCS, cosmology, or astronomical tables.
Atom of Thoughts (AoT) reasoning - decompose complex problems into atomic units with confidence tracking and backtracking. For genuinely complex reasoning, not everyday questions. Triggers on: atomise, complex reasoning, decompose problem, structured thinking, verify hypothesis.
Build ATS-optimised, human-sounding CVs in LaTeX (Overleaf-ready code). Trigger this skill whenever a user asks to create, rewrite, reconstruct, or improve a CV, resume, or job application document — including when they upload an existing CV, paste raw experience, or describe a target role. Also trigger when the user says things like "make my CV better", "tailor my resume for X", "help me apply for a job", or "write my CV from scratch". Always use this skill for any CV/resume task, even if the user doesn't use the word "LaTeX" or "ATS".
Attack Bluetooth Classic, BLE, and NFC targets -- device enumeration, GATT characteristic exploitation, BLE MITM and replay, Ubertooth and nRF sniffing, MIFARE Classic cracking, Proxmark3 card cloning, NFC relay attacks, and access control bypass. Use when pentesting BLE peripherals or IoT devices, assessing NFC-based access controls or contactless payment security, testing Bluetooth pairing and authentication, or evaluating physical access card cloneability
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.