Skills
101,174 packaged capabilities and playbooks for agents. Install any of them with one command.
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Detect buying intent from job postings. When a company posts a job in your problem area, they've allocated budget and are actively thinking about the problem. This skill finds those companies, qualifies them, extracts personalization context, and outputs everything to a Google Sheet. Does NOT do outreach — just delivers qualified leads with reasoning.
Expert guidance for Keycloak identity and access management including realm configuration, client setup, user federation, authentication flows, role-based access control, and integration with applications. Use this when setting up authentication, configuring SSO, managing users and roles, or integrating Keycloak with applications.
Provides comprehensive guidance for Kubernetes including pods, services, deployments, ingress, and cluster management. Use when the user asks about Kubernetes, needs to deploy applications to Kubernetes, configure Kubernetes resources, or manage Kubernetes clusters.
【The only entry-point skill for KWC projects】Responsible for KWC project scaffolding initialization, component/page/Controller metadata generation, environment configuration, and deployment. When a user request involves KWC project creation, using the kd CLI, .page-meta.kwp / .js-meta.kwc / .kws metadata files, or environment deployment, this Skill must be used first. This Skill is the main entry point of the KWC workflow; framework development Skills (react/vue/lwc-development) are activated only after scaffolding initialization is complete and component implementation code explicitly needs to be written. It is forbidden to use framework development Skills directly during metadata operations, project initialization, or deployment.
Structures thinking across multiple abstraction levels (30,000 ft strategic, 3,000 ft tactical, 300 ft operational) while maintaining consistency between layers. Guides through top-down decomposition, bottom-up aggregation, cross-layer translation, and constraint propagation. Use when reasoning across multiple abstraction levels, designing systems with hierarchical layers, explaining concepts at different depths, maintaining consistency between principles and implementation, or when users mention 30,000-foot view, layered thinking, abstraction levels, top-down design, or strategy-to-execution alignment.
Extracts lessons learned from conversations and persists them to AI assistant config files (CLAUDE.md, GEMINI.md, AGENTS.md, Cursor, Copilot, Windsurf, Continue) or creates new skills from discovered workflows. Use this skill whenever: a command failed then succeeded (especially with a flag or env change), debugging revealed a workaround, an assumption proved wrong, undocumented behavior was discovered, a multi-step pattern was invented on the fly, or the user says "/learn", "remember this", "save this", "add this to CLAUDE.md", "don't forget this", or "make a skill for this". Also invoke proactively after any complex troubleshooting session where notable lessons emerged, even if the user didn't explicitly ask.
Manage Linear teams, projects, cycles, issues, comments, workflow state, and documents from a terminal through Linear's public GraphQL API. Use when a user asks to list, search, inspect, create, update, move, or comment on Linear work, or to find Linear documents. Do not use to embed a live agent inside Linear or to build an MCP integration.
Manage Linear.app work from the command line with the linearis CLI (bins linearis / linear), which outputs JSON: issues/tickets, projects, cycles (sprints), milestones, initiatives (roadmap), documents, labels, teams, users, and issue discussions/comments. Use when the user mentions Linear, a ticket identifier like ENG-42 or ABC-123, sprints, triage, or the roadmap, or asks to create, read, search, update, assign, comment on, or otherwise manage Linear issues and projects.
Detect project linting and validation tools, build an execution pipeline, run all tools to zero errors, and fix issues using an atomic fix protocol. Auto-detects Makefile targets, package.json scripts, Go tools, Python tools, and other common linters. Use when fixing linting errors, running validation pipelines, or ensuring code quality before committing.
Local document and PDF parsing that returns spatial text with bounding boxes. Use for extracting text from PDFs, DOCX, Office files, and images; running OCR on scans; producing layout-preserved JSON for RAG; batch-ingesting folders of papers; or rendering pages to PNG for multimodal agents. Distinguishing capabilities are per-token bounding boxes, page raster output, and fully local processing with no cloud API.
Generate complete semantic content briefs for local SEO content — location pages, service pages, blog posts, FAQ content, and pillar pages. Use this skill when the user needs a content brief for any piece of local SEO content, has a concept cluster from local-content-strategy and needs to brief the content, asks "what should this page cover", "brief me on [topic] for local SEO", "what concepts should my location page cover", or needs to know what depth to cover each topic at. Also trigger when producing briefs in bulk for a content production run. This skill combines semantic content brief methodology (concept coverage, entity requirements, depth assignments, question mapping) with local SEO specificity (geo-modified entities, local intent signals, GBP-to-page consistency, local schema requirements, AI visibility considerations). Output is a complete brief that a writer or Claude CLI generation loop can execute directly.
Generate professional slide deck images from content (Markdown, text, URLs). Creates outlines with style instructions, then generates individual slide images. Supports 16 visual styles, CJK/Latin mixed text, branding overlays, and PPTX/PDF export. Use when the user asks to "create slides", "make a presentation", "generate deck", "slide deck", "PPT", "做PPT", "生成幻灯片", "制作演示文稿", or wants to turn content into a visual slide deck.
Use for Luau performance work focused on profiling hotspots, allocation-aware code structure, table and iteration costs, builtin and function-call fast paths, compiler/runtime optimization behavior, and environment constraints that change execution speed.
MAGMA customer support first-line response knowledge. When a customer inquiry comes in, refer to product, size, restock, exchange/refund, and shipping policies to draft a polite first-line reply. Do not guess at uncertain information; mark it as requiring confirmation by the person in charge. Loaded from a webhook subscription to handle external inquiries.
Build against the World Labs / Marble Public API v1 docs. Use when a coding agent needs to explain or implement World API integrations, WLT-Api-Key authentication, world generation, media asset upload flows, long-running Operation polling, world retrieval/list/delete, pano depth-to-RGB calls, or OpenAPI client generation.
Conduct structured market research for a solopreneur business. Use when sizing a market, understanding industry dynamics, mapping the competitive landscape broadly, identifying trends, or building customer personas from external data. Covers TAM/SAM/SOM estimation, free data sources, trend analysis, and persona construction. Trigger on "research this market", "how big is this market", "understand the industry", "market trends", "who are the players in this space", "market analysis".
Provides MoAI-ADK foundational principles including TRUST 5 quality framework, SPEC-First DDD methodology, delegation patterns, progressive disclosure, agent catalog reference, and token budget management (absorbed from moai-foundation-context). Use when referencing TRUST 5 gates, SPEC workflow, or context window optimization.
Patterns for electric motor control including Field Oriented Control (FOC), stepper motor control, encoder interfaces, current sensing, and power electronics. Covers BLDC, PMSM, DC brushed, and stepper motor applications. Use when ", " mentioned.
Backup and restore all OpenClaw configuration, agent memory, skills, and workspace data. Part of the MyClaw.ai (https://myclaw.ai) open skills ecosystem — the AI personal assistant platform that gives every user a full server with complete code control. Use when the user wants to create a snapshot of their OpenClaw instance, schedule periodic backups, restore from a backup, migrate to a new server, download a backup file locally, upload a backup file from another machine, or protect against data loss. Includes a built-in HTTP server for browser-based download/upload/restore without needing cloud storage. TRUST BOUNDARY: This skill archives and restores highly sensitive data including bot tokens, API keys, and channel credentials. Only install if you trust the operator. Always use --dry-run before restore. Never start the HTTP server without a --token.
Adds, migrates, or updates n8n Public API v1 endpoints with @PublicApiController — public DTOs, API-key and RBAC scopes, cursor pagination, OpenAPI + coverage wiring, and tests. Use when working under packages/cli/src/public-api/v1/ or when exposing an existing service through /api/v1.
Deploy the current project to OpenDeploy from an agent, including plan review, managed dependencies, persistent volumes, environment setup, deployment monitoring, and bind-first guest handoff. Use when the user invokes /opendeploy or asks to deploy, redeploy, host, publish, or get a live app with OpenDeploy.
Launch tokens on Base blockchain via the OpenServ Launch API. Creates ERC-20 tokens with Aerodrome concentrated liquidity pools. Use when launching tokens, deploying memecoins, or building agents that create tokens with locked LP. Read reference.md for the full API reference. Read openserv-agent-sdk and openserv-client for building and running agents. You can launch tokens for your OpenServ agents.
Make good open source contributions — check CONTRIBUTING.md first, follow project norms, be a good citizen. Covers bug reports, feature requests, and pull requests with a defensible default posture when the project hasn't documented expectations. Do not use this skill for unrelated requests; route to the nearest named specialist.
Orchestrate the full PaperOrchestra (Song et al., 2026, arXiv:2604.05018) five-agent pipeline to turn unstructured research materials (idea, experimental log, LaTeX template, conference guidelines, optional figures) into a submission-ready LaTeX manuscript and compiled PDF. TRIGGER when the user asks to "write a paper from my experiments", "turn this idea and these results into a paper", "generate a conference submission", "run paper-orchestra on X", or otherwise wants the end-to-end paper-writing pipeline. Coordinates the outline-agent, plotting-agent, literature-review-agent, section-writing-agent, and content-refinement-agent skills.
Toolkit for comprehensive PDF reading, reviwing, and creation with visual quality control. Use to work with PDFs (.pdf files) for: (1) Reading or extracting content from existing PDFs, (2) Creating new PDF documents with professional formatting, (3) Generating reports, documents, or layouts that require precise typography and design, or any other PDF reading or generation tasks.
Power BI performance optimization for slow reports, models, and queries. PROACTIVELY activate for: (1) report is slow or visuals take forever to load, (2) DAX Studio and VertiPaq Analyzer profiling, (3) Performance Analyzer in Power BI Desktop, (4) optimizing slow DAX measures, (5) slow visuals diagnosis, (6) aggregations and composite-model tuning, (7) query reduction techniques (visual settings, top N), (8) model size reduction (cardinality, calculated columns, summary tables), (9) VertiPaq compression tuning, (10) Direct Lake performance and fallback rules, (11) large-dataset (10GB+) optimization. Provides: profiling workflow with DAX Studio, VertiPaq compression checklist, aggregation-table patterns, model-size reduction techniques, and end-to-end performance investigation playbook.
Analyze competing Product Hunt launches and benchmark against top performers. Use this skill to research similar products, understand competitive landscape on your chosen launch day, and learn from successful launches in your category.
Provides comprehensive guidance for Pinia state management including stores, state, getters, actions, plugins, and TypeScript support. Use when the user asks about Pinia, needs to manage application state, create stores, implement state persistence, or migrate from Vuex
Builds a backwards submission timeline from a conference deadline - days remaining (AoE-aware), abstract-registration offsets, author-list freeze, OpenReview/CMT/EasyChair/HotCRP/PCS account lead times and per-system steps, supplementary-material and code size limits, reciprocal-reviewing duties, and a dual-submission audit. Use when the user wants to plan a submission, asks how long until a deadline, mentions abstract registration, submission checklist, deadline countdown, "what do I need before the NeurIPS/ICML/CHI deadline", or asks what happens after submitting (rebuttal window, notification, camera-ready). Phase-aware - produces pre-submission, under-review, and camera-ready plans from venues/ profiles and flags overdue steps.
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.