Skills
99,951 packaged capabilities and playbooks for agents. Install any of them with one command.
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Explores a Spring Boot application and builds primary context: tech stack, module structure, domain entities, REST endpoints. Triggers on explicit requests: "explore project", "describe project", "project overview", "what is this project", "project structure", "tech stack", "give me context about the project", or whenever you need to understand the project before starting any task.
Zig comptime skill for compile-time evaluation and metaprogramming. Use when using comptime parameters, comptime types, generics via anytype, comptime reflection with @typeInfo, or metaprogramming patterns that replace C++ templates. Activates on queries about Zig comptime, compile-time evaluation, Zig generics, anytype, @typeInfo, comptime types, or Zig metaprogramming.
Entry point for AI-agent work on AWS: pick a runtime, plan a migration for existing workloads, and build an executable POC — one phased flow. Triggers on: which runtime for my agent, AgentCore vs ECS vs EKS vs Lambda, AgentCore vs Lambda MicroVMs, deploy an AI agent on AWS, agent architecture on AWS, I have an agent idea what do I build, move/migrate my agents to AWS, agent migration plan, add AgentCore services (memory, gateway, identity, policy, observability) to an agent already on AWS, Temporal on AWS (migrate/run Temporal workers on AWS, a service orchestrated by Temporal, Temporal Cloud vs self-hosted). Temporal Workflow code is never rewritten into Step Functions. Requires at least one agentic component — a purely non-agent system (plain services, batch jobs, HTTP endpoints, non-agent Temporal Activities) is out of scope, redirected to gcp-to-aws / heroku-to-aws / llm-to-bedrock. Not for: compute/data migration with no AI agent; pure LLM SDK rewrite (use llm-to-bedrock); per-model pricing.
Plan and orchestrate end-to-end video production pipelines in ComfyUI with validation gates and error recovery. Handles img2vid, txt2vid, vid2vid, and multi-shot video production. Produces pipeline plans with correct step ordering (generate, validate, animate, validate, concat), model selection, retry strategies (seed randomization, parameter adjustment, model fallback), and VRAM-aware resource management. Use when asked to make a video, animate images, create a multi-shot video, set up a video pipeline, or orchestrate video production in ComfyUI. Does NOT cover still image generation, prompt writing, workflow building for non-video tasks, video editing in external tools, model training, installation, or hardware recommendations.
Composes, debugs, and optimizes Guillotine GraphQL queries for Enonic XP headless content delivery. Covers query construction, variable usage, filtering, aggregation, pagination, sorting, and TypeScript type generation from the auto-generated Guillotine schema. Use when writing or troubleshooting Guillotine queries, querying custom content types through GraphQL, or generating typed interfaces from Guillotine responses. Don't use for content type XML definitions, non-Enonic GraphQL APIs (Apollo, Hasura), server-side lib-content queries, or Guillotine deployment and CORS configuration.
Diagnose genre problems and generate genre-specific elements. Use when genre promise is unclear, when elements feel misplaced, when secondary genres compete with primary, or when you need genre-specific entropy. Covers all 11 elemental genres from the Writing Excuses framework.
Expert debugging and profiling for leaks, GPU/Visual Profiler, headless CI QA, orphan nodes, thread-safe logs, and custom Debugger monitors — not print/breakpoint tutorials. Trigger on OBJECT_ORPHAN_NODE_COUNT, ObjectDB growth, Visual Profiler GPU spikes, flaky headless exits, or remote device consoles. Keywords: orphan nodes, Performance.get_monitor, Visual Profiler, Time.get_ticks_usec, EditorDebuggerPlugin, headless QA, push_error, backtrace.
Draws hand-authored SVG spot illustrations in a halftone line style for design and coding scenes. Identifying traits are a confident black line with a slight hand wobble and contours left open, grey tones made only of fine halftone dots clipped to shapes, a few solid black masses (hair, leaves, a bag, a black tee), warm off-white paper and no colour at all. Covers the two-ink palette, line weights, the open-contour and stipple techniques, a seeded compiler that turns tone tags into dot fills, rubbery long-limbed characters and expressive hands, doodles, floor pools and a render-and-critique loop. Use when someone asks for halftone, stipple, dotted, risograph-like, newsprint, black-and-white, monochrome line, editorial line or zine-style illustrations, or for empty states, onboarding, 404 pages, blog headers, feature spots and marketing cards in that look.
A set of resources to help me write all kinds of internal communications, using the formats that my company likes to use. Claude should use this skill whenever asked to write some sort of internal communications (status reports, leadership updates, 3P updates, company newsletters, FAQs, incident reports, project updates, etc.).
Thin router for Pipefy build and configure asks: map user intent to the correct domain skill (pipes, automations, AI agents, iPaaS, portals, etc.). Use when the user wants to create, build, configure, or integrate something in Pipefy and you need to know which skill to open. Do not use this skill as a delivery playbook — if the user already has a building skill or a detailed build prompt, follow that for how to build; use this skill only for which Pipefy domain skill to read.
Ensures alignment between user and Claude during feature/spec planning through a structured interview process. Use this skill when the user invokes /plan-interview before implementing a new feature, refactoring, or any non-trivial implementation task. The skill runs an upfront interview to gather requirements across technical constraints, scope boundaries, risk tolerance, and success criteria before any codebase exploration. Do NOT use this skill for: pure research/exploration tasks, simple bug fixes, or when the user just wants standard planning without the interview process.
AI agent for Predexon Prediction Market Trading 1.5 via Teneo Protocol. Use this skill when the user needs Predexon Prediction Market Trading 1.5 via the bundled Teneo CLI and you need the live commands, arguments, or pricing before execution.
Build, integrate, migrate to, and answer how-to questions for Stream Chat, Video, and Feeds in Swift / SwiftUI / UIKit / iOS apps - including AI assistants and agentic experiences (ChatGPT-style apps, LLM bots in chat, streaming responses, thinking indicators, reasoning and tool-call steps, tool approvals, device-side tools, a voice agent's transcript shown as a conversation) with the StreamChatAI components. Routes each request to the exact official iOS docs page, fetches it live, and applies it - with a curated setup flow, an AI integration runbook, a Sendbird -> Stream Chat migration runbook, and iOS-specific pitfalls.
Run a deterministic, read-only health check on an Obsidian wiki. Use for lint, vault health check, audit wiki health, find orphans, find dead links, frontmatter audit, provenance audit, or wiki audit. Reports graph, link, frontmatter, provenance-ledger, empty-section, and stale-index findings; it does not reason broadly or repair files.
Zig testing skill for writing and running tests. Use when using zig build test, writing comptime tests, using test filters, working with test allocators to detect leaks, or using Zig's built-in fuzz testing (0.14+). Activates on queries about Zig tests, zig test, zig build test, comptime testing, test allocators, Zig fuzz testing, or detecting memory leaks in Zig tests.
Maps the desire behind why customers pay and commits to the one or two kinds worth owning, without touching the price number. Three desires, by value: Love (advocates who want you to charge more), Utility (rational ROI buyers), Coercion (trapped against their will). Three phases: (1) map what's TRUE TODAY—walk the full Love/Utility palette WITH the user, marking have/partial/none, and run the fragility test 'who leaves the moment a good alternative appears?' exposing Coercion posing as loyalty; (2) what you'd do DIFFERENTLY—which to own, deepen, or build, which Coercion to drop, framed by value created not cost saved; (3) validate each change and commit to one or two of each. A facilitator, not an oracle: it surfaces the whole menu and draws answers from the user. Load when the user asks why customers pay, what makes them advocate, or whether retention is real or coerced. Do NOT load to set or raise the price, pick a pricing strategy (More/Less), define the ideal customer, or rewrite marketing copy
Reverse-engineer a SPEC document from an existing project. Analyzes code, config, tests, and structure to produce a comprehensive specification. Triggers on: code-to-spec, reverse spec, generate spec, 逆向规格, 生成规格文档, 生成设计文档, 生成设计方案, extract spec, document this project, what does this project do.
A generator for line-by-line annotations of classical Chinese, combined layouts, chapter theme diagrams, and full-chapter interpretations. Arranges the source text, word and phrase annotations, sentence explanations, an unlettered illustration at the top, and the chapter interpretation into one readable, long PNG. Use when the user invokes ljg-classic or requests line-by-line annotations, color-coded interlinear notes, chapter interpretations, illustrated classical Chinese handouts, or chapter illustrations for classical Chinese prose, poetry, or the Four Books and Five Classics. Not for translating a single line of classical Chinese, writing only modern prose, or creating generic content cards.
Process documents with Nutrient DWS Processor. Use for PDF generation and conversion, packet assembly, OCR, Processor JSON-content extraction, staged redaction, watermarking, signing, password protection, optimization, PDF/A, or PDF/UA output. Route high-fidelity markdown or spatial parsing to Nutrient Data Extraction, and accessibility auto-tagging/validation to Nutrient Accessibility instead of treating all three products as one API.
AI agent for Predexon Prediction Market Agent 1.5 via Teneo Protocol. Use this skill when the user needs Predexon Prediction Market Agent 1.5 via the bundled Teneo CLI and you need the live commands, arguments, or pricing before execution.
Guides systematic multi-pass review and editing of scientific manuscripts (research articles, reviews, perspectives) to improve clarity, structure, scientific rigor, and reader comprehension. Use when reviewing or editing research manuscripts, journal articles, or perspectives, when user mentions manuscript, paper draft, article, research writing, journal submission, reviewer feedback, or needs to improve scientific writing.
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy
Creates a Spring Security configuration class with authentication, authorization, and HTTP protection setup. Use this skill when a security configuration needs to be created, either standalone or as part of a larger task (e.g. adding authentication to a REST API, configuring OAuth2/OIDC login, setting up JWT resource server).
TDD and testing skills for iOS/macOS apps. Covers characterization tests, TDD workflows, test contracts, snapshot tests, test infrastructure, and deterministic quality gates (fitness functions, coverage ratchet, mutation testing). Use for test-driven development, adding tests to existing code, or building test infrastructure
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.