Skills
99,951 packaged capabilities and playbooks for agents. Install any of them with one command.
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Full Amazon KDP automation via Playwright — sign in, download royalty reports, sync/update book metadata, pricing, content uploads, catalog audits. Use when the user mentions KDP, Kindle Direct Publishing, royalty reports, book metadata, keywords, categories, pricing, KDP Select, or Amazon author account automation.
Analyze iOS applications at the binary level: decrypt FairPlay-protected IPAs with frida-ios-dump or bagbak, inspect Mach-O load commands, recover Objective-C headers with class-dump, and read Swift metadata. Use when working with an IPA or .app bundle, when a downloaded App Store binary shows cryptid=1, when class-dump returns nothing, or when analyzing iOS frameworks and app extensions
Annotate Chinese web novel prose and visualize its pacing. Use when users want to mark the positions of hooks, payoffs, climaxes, comeuppances, or foreshadowing in the text; view a chapter's pacing distribution; check payoff density; or mark and suggest embellishing words (intensifiers often used in fast-paced, punchy wish-fulfillment fiction). Produces labeled prose and a pacing data table so authors can see the data at a glance.
Decision guide for antd 6.x, Ant Design Pro 5/ProComponents, Ant Design X v2, and the offline `@ant-design/cli`. Use for component selection, theming/tokens, SSR, a11y, performance, routing/access/CRUD, AI/chat UI patterns, local API lookup, debugging, migration, and usage analysis.
Write and edit Indonesian text so it is clear, specific, natural for its audience, and matches the requested voice. Use for articles, essays, blogs, social media, or requests to reduce generic writing patterns. Do not promise AI-detector results.
Help a PhD student recover motivation, reframe setbacks, and rebuild momentum after rejection, failure, stagnation, or burnout. Use whenever the user feels stuck, discouraged, or lost in their PhD — including phrasings like "I don't know why I'm doing this", "my paper got rejected again", "my experiments keep failing", "I feel behind everyone else", "I'm thinking of quitting", "my advisor doesn't believe in me", "I haven't made progress in weeks", or "is a PhD even worth it". Also use proactively when the user seems demoralized mid-conversation. This is not a therapy replacement — it is structured support for navigating the specific emotional and cognitive patterns that make PhD work hard, grounded in the reality of what research actually is.
Perform spatial analysis using analysis objects, REST services for routing/geocoding/geoprocessing, and feature reduction with clustering/binning. Use when running viewshed, line-of-sight, buffer, or geoprocessing analysis, and when clustering or binning dense point data for visualization.
Work with ArcGIS Utility Networks for modeling and analyzing connected infrastructure including network tracing, associations visualization, and topology validation. Use for electric, gas, water, and telecom network analysis.
Route Arduino and embedded-system requests across Arduino IDE, Arduino CLI, PlatformIO, and vendor-specific tools. Use when a request combines firmware, board constraints, electronics, power, networking, calibration, enclosure, upload, debugging, OTA, or maintenance, or when the exact board or toolchain is not yet clear.
Review Argos visual regression builds as one input to a pull request review. Use when a PR has an Argos build link, an Argos status check, or a bot comment pointing to an Argos build, and you need to decide whether the visual diffs match the developer's intent before approving.
Use when a founder wants to document or design a whole company as version-controlled markdown (company as code, a company wiki agents can read, an OKF bundle). Runs a 12-phase interview, scaffolds with scaffold_bundle.py and checks it with okf_linter.py.
Convert an article, tutorial, or prompt pack into focused reusable AgentSkills, one independent capability per skill, with portable instructions, example prompts, working demos, preview screenshots, validation, gallery updates, and a narrow commit. Use when the user asks to turn an article's prompts, tutorial sections, design patterns, interactions, or workflow ideas into complete skills rather than leaving them as prose.
Use when the user wants a cited, structured read of local documents and project knowledge. Triggers on: "analyze these docs", "scan my project for context", "read the docs folder", "summarize what's in .beagle/concepts/", "extract context from docs/", "what's in this folder", "go read everything in X and tell me what's there". Also invoked programmatically by other beagle skills (prfaq-beagle Ignition, brainstorm-beagle reference points, strategy-interview context grounding) via the companion contract. Does NOT trigger on codebase lookups ("find this function", "search the repo"), web research (use web-research), LLM-as-judge evaluation (use llm-judge), or document editing (use humanize-beagle). Produces a written scan plan, parallel-subagent findings, and a cited synthesis report on disk — never inline prose, never unsourced claims.
Only use when the user explicitly invokes /ask (or $ask in Codex). Never auto-invoke. A read-only skill that provides fact-based analysis and answers to questions without any implementation or editing. For questions about how code works, implementation approach, error causes, or design validity, it answers based on the facts of the implementation and documentation rather than speculation.
Sets up GitHub Actions CI/CD workflows for Astro sites — `astro check` (TypeScript + content schema), ESLint, Prettier, build verification, Vitest testing, Lighthouse CI, link checking, npm audit, and automated deployment to GitHub Pages, Cloudflare Pages, Netlify, or Vercel. ALWAYS use this skill when a user wants to create, add, set up, or configure GitHub Actions, CI/CD, automated checks, or deployment workflows for an Astro site — even if they don't use the exact phrase "GitHub Actions". This includes any request to: add automated type-checking or linting to an Astro repo; set up `astro check` in CI; add Lighthouse or accessibility checks to PRs; configure Vitest in CI for an Astro project; auto-deploy an Astro site to GitHub Pages, Cloudflare Pages, Netlify, or Vercel from GitHub; add link checking or broken-link detection; add security scanning to an Astro pipeline; or generally "add CI", "add automated checks", "set up workflows", or "automate" anything related to an Astro site's GitHub repository. Also trigger when someone wants quality gates on PRs, wants to verify the build still passes, or is setting up a new Astro repo and wants best practices for automation. If the user is inside an Astro project repository and mentions anything about automated testing, code quality, deployment, or GitHub workflows, use this skill.
Audit a website or digital experience against its supplied source references for originality and plagiarism risk. Use when Codex must compare current or historical site output with reference pages, capture packs, screenshots, copy, brands, numbers, images, assets, videos, layouts, motion, or code; raise evidence-backed red flags; distinguish common visual grammar from distinctive copying; and propose concrete fixes without making unsupported legal claims.
Implements authentication using Rails 8 built-in generator. Use when setting up user authentication, login/logout, session management, password reset flows, or securing controllers. WHEN NOT: Authorization and permissions (use Pundit policies), API token authentication, OAuth/SSO integration, or role-based access control.
Looks up curated web security learning resources (XSS, SQLi, CSRF, SSRF, OAuth/JWT, deserialization, SAML, recon, evasion, defensive tooling, CTF). Filters by topic, difficulty, language, and resource type. Returns top references with archive fallbacks. Defensive and educational use only.
AI-powered E2E web testing — eyes and hands for AI coding tools. Declarative YAML scenarios, Playwright execution, visual matching (OpenCV + OCR), platform auto-detection (Flutter/React/Vue), learning DB. Install: npx skills add ksgisang/awt-skill --skill awt -g
Motion design pipeline for building Awwwards/Apple-tier animations, micro-interactions, scroll sequences, page transitions, and kinetic typography. Enforces the principles that separate award-winning motion from generic CSS transitions - intentional easing, scroll-linked choreography, staggered reveals, magnetic interactions, text splitting, parallax depth, morphing state transitions, and the invisible micro-animations that make interfaces feel alive. Every animation must justify its existence, respect reduced-motion, and run at 60fps. Motion is choreography, not decoration.
Use when setting up code signing, managing certificates, configuring provisioning profiles, debugging signing errors, setting up CI/CD signing, or preparing distribution builds. Covers certificate lifecycle, automatic vs manual signing, entitlements, fastlane match, Keychain management, and App Store distribution signing.
Use when code signing fails during build, archive, or upload — certificate not found, provisioning profile mismatch, errSecInternalComponent in CI, ITMS-90035 invalid signature, ambiguous identity, entitlement mismatch. Covers certificate, profile, keychain, entitlement, and archive signing diagnostics.
Expert knowledge for Azure Baremetal Infrastructure development including decision making, and architecture & design patterns. Use when planning NC2 on Azure BareMetal regions/SKUs, deployment topologies, Azure integrations, HA, or networking, and other Azure Baremetal Infrastructure related development tasks. Not for Azure Large Instances (use azure-large-instances), Azure Virtual Machines (use azure-virtual-machines), Azure VMware Solution (use azure-vmware-solution), SAP HANA on Azure Large Instances (use azure-sap).
Unified Azure cost management: query historical costs, forecast future spending, and optimize to reduce waste. WHEN: "Azure costs", "Azure spending", "Azure bill", "cost breakdown", "cost by service", "cost by resource", "how much am I spending", "show my bill", "monthly cost summary", "cost trends", "top cost drivers", "actual cost", "amortized cost", "forecast spending", "projected costs", "estimate bill", "future costs", "budget forecast", "end of month costs", "how much will I spend", "optimize costs", "reduce spending", "find cost savings", "orphaned resources", "rightsize VMs", "cost analysis", "reduce waste", "unused resources", "optimize Redis costs", "cost by tag", "cost by resource group", "AKS cost analysis add-on", "namespace cost", "cost spike", "anomaly", "budget alert", "AKS cost visibility". DO NOT USE FOR: deploying resources, provisioning infrastructure, diagnostics, security audits, or estimating costs for new resources not yet deployed.
Azure FinOps reservation analysis, cost validation, waste discovery, and executive reporting. USE WHEN user says 'validate costs', 'check reservations', 'find waste', 'orphaned resources', 'reservation coverage', 'savings analysis', 'draft response for', 'cost analysis', 'are these reservations', 'reservation gaps', OR any Azure cost optimization request.
Map publications, prior successful cases, datasets, benchmarks, and method families for banking and fintech AI problems. Use when the user needs publication-grounded evidence for credit risk, fraud, AML, collections, customer intelligence, personalization, banking document AI, compliance, contact-center automation, or financial-services R&D proposals. This skill specializes literature-triangulation for banking domain transfer and should feed publication-grounded-solution-design.
Knowledge comic creator supporting multiple art styles and tones. Creates original educational comics with detailed panel layouts and batch-capable image generation. Use when user asks to create "知识漫画", "教育漫画", "biography comic", "tutorial comic", or "Logicomix-style comic".
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.