Skills
100,344 packaged capabilities and playbooks for agents. Install any of them with one command.
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Gather network configuration and connectivity details on Linux including interfaces, IP addresses, routing tables, DNS settings, and listening ports. Use when the user asks about IP configuration, network interfaces, connection issues, DNS resolution, open ports, routing, or network troubleshooting.
Provides expert guidance on Next.js caching behavior, including use cache directive, revalidation strategies, ISR patterns, and common pitfalls. Use when working with Next.js caching, revalidatePath, revalidateTag, use cache, connection(), unstable_cache, or debugging cache behavior in Next.js applications.
Build production-ready Node.js backend services with Express/Fastify, implementing middleware patterns, error handling, authentication, database integration, and API design best practices. Use when creating Node.js servers, REST APIs, GraphQL backends, or microservices architectures.
Handle FormData, file uploads, Blob, Uint8Array, and ReadableStream inputs in tRPC mutations. Use octetInputParser from @trpc/server/http for binary data. Route non-JSON requests with splitLink and isNonJsonSerializable() from @trpc/client. FormData and binary inputs only work with mutations (POST).
Essential patterns, idioms, and gotchas for writing Nushell code. Use when writing Nushell scripts, functions, or working with Nushell's type system, pipelines, and data structures. Complements plugin development knowledge with practical usage patterns.
Comprehensive Obsidian vault management. USE WHEN obsidian, vault, note, daily note, PARA, inbox, knowledge capture, dataview, DQL, search vault, .base, bases, wikilink, frontmatter, second brain, markdown syntax, obsidian.nvim, OR obsidian API. Python-powered tools for search, creation, and vault health.
Write, review, debug, and explain OCaml code and dune projects. Use whenever the user mentions OCaml, .ml/.mli files, dune, dune-project, opam, Alcotest, qcheck, shrinking, counterexamples, property-based testing, mutation testing, katas or exercises written in OCaml, or asks to convert JS/TS/PHP logic into OCaml. Trigger even if the user just pastes OCaml code with a compiler error and asks "what's wrong here", asks to set up a new dune project, or asks for the OCaml idiom for something they already know how to do in JS/TS. The user is an experienced JS/TS/PHP developer but a genuine OCaml beginner — explanations should assume strong general programming skill and zero OCaml-specific knowledge, never the reverse. DO NOT USE for F#, ReasonML/ReScript, Standard ML, or other ML-family languages unless the user is explicitly comparing them to OCaml.
Use when applying, resolving, clearing, or inspecting pending open-press @openpress-comment markers, including requests like /apply-comments, apply comment, resolve comments, read comments and modify the document, or remove resolved comment markers.
Optimize Decentraland scene performance. Scene limit formulas (triangles, entities, materials, textures, height per parcel count), object pooling, LOD patterns, texture optimization, system throttling, and asset preloading. Use when the user wants to optimize, improve performance, fix lag, reduce load time, check limits, or reduce entity/triangle count. Do NOT use for deployment (see deploy-scene).
Run and configure oxlint — the high-performance JavaScript/TypeScript linter built on the Oxc compiler stack. Use this skill whenever working in a project that has oxlint installed (check for `oxlint` in package.json devDependencies or an `.oxlintrc.json` / `oxlint.config.ts` config file). This includes when you need to lint code after making changes, fix linting errors, configure oxlint rules/plugins, set up or modify `.oxlintrc.json`, or migrate from ESLint.
Connects to Oxylabs remote headless browsers via Chrome DevTools Protocol (CDP) using Playwright or Puppeteer. Provides anti-detection, CAPTCHA handling, residential proxies, and geo-targeting built in. Use when browser automation needs remote execution, stealth capabilities, rendered pages, screenshots, PDFs, or complex JavaScript interaction.
Generate images with Pruna P-Image models via inference.sh CLI. Models: P-Image, P-Image-LoRA, P-Image-Edit, P-Image-Edit-LoRA. Capabilities: text-to-image, image editing, LoRA styles, multi-image compositing, fast inference. Pruna optimizes models for speed without quality loss. Triggers: pruna, p-image, pruna image, fast image generation, optimized flux, pruna ai, p image, fast ai image, economic image generation, cheap image generation
Performs pandas DataFrame operations for data analysis, manipulation, and transformation. Use when working with pandas DataFrames, data cleaning, aggregation, merging, or time series analysis. Invoke for data manipulation tasks such as joining DataFrames on multiple keys, pivoting tables, resampling time series, handling NaN values with interpolation or forward-fill, groupby aggregations, type conversion, or performance optimization of large datasets.
Interpret the meaning of a paper's figures and output a highly readable Markdown report that "teaches humans how to read the figures"; supports input of one or more absolute paths to figure files plus human interpretations, automatically attempts to retrieve the source code that generated each figure from near the figure, and interprets each figure with process-level isolation via `codex exec`/`claude -p` in a parallel-vibe-like manner (default concurrency limit 3, adjustable in config.yaml). Not applicable: the user merely wants to resize/crop/convert a figure, or asks to directly modify images or source code (this skill is read-only for images and source code throughout, and modification is strictly prohibited).
Purely passive OSINT intelligence gathering that never touches the target. Use when asset intelligence must be collected without the target noticing, when doing preliminary research before a formal penetration test, or when discovering exposed assets through search engines such as FOFA/Quake/Hunter. Also suitable for scenarios that need cross-comparison across multiple engines to obtain a complete asset view
Sets up the peach harness system for a Frontend-Only UI Proto project. Tidies CLAUDE.md into a minimal entry point and creates/updates AGENTS.md at roughly 70–90 lines. Use when: "ui proto 하네스 설정", "ui proto AGENTS 정리", "Frontend-Only 하네스 설정", "프로토타입 프로젝트 초기 설정" keywords.
Input validation and protocol manipulation assessment for injection, parser differential testing, request smuggling, method tampering, header confusion, serialization abuse, and payload mutation. Hands off to authz, business-logic, exploit, or reporting workflows when those become the owner phase.
Performs static analysis of Windows PE malware samples using PEStudio to examine file headers, imports, strings, and resources without executing the binary, identifying packing, anti-analysis tricks, and malicious imports. Use for pre-execution triage of a suspicious Windows executable before sandbox detonation.
Design practical pilots and evaluation protocols for industry R&D, AI, ML, analytics, LLM, banking, fintech, or enterprise solutions. Use when the user has a proposed method or solution direction and needs to validate it with offline tests, backtests, human evaluation, A/B tests, baselines, metrics, ablations, guardrails, and a go/no-go decision. Especially use after publication-grounded-solution-design or industry-problem-framing.
Render the current plan as a high-DPI PNG dependency DAG — nodes are issues / sub-issues / PRs, edges come from sub-issue links plus dependency-language prose ("Depends on", "Part of", "Blocks", "Closes") and PR / commit cross-references, and every node is color-coded done / in-progress / available-next / blocked so sequencing and critical path are obvious at a glance. Use when asked "plan as dag", "draw a dag", "dag diagram", "show the dependency graph", "what's blocking what", "what's the critical path", "what can be parallelized", "what's left for #N", or right after a `what's next` survey when sequencing the next pick is the actual question.
Run a tight interrogation of the need and the technical breakdown of a feature until you reach a shared plan, then hand the writing to planify-write-plan. Open questions grouped into independent batches, each with a recommended answer. Use when the user wants to plan a feature, break a need into easy-to-review tasks, stress-test a plan before coding, prepare a plan-mode session, or invokes /planify. Usage: /planify [demande]
Internal writer of the planify skill: formats the summary of a plan (produced by planify's interrogation) into two files under .task/<KEY>/<prefix>/ — a readable plan.md (tasks + acceptance constraints) and a dense tech.md. Invoked by planify through the Skill tool; does not trigger on its own and has no slash command. Asks no further questions and makes no decisions.
Validates planning artifacts (spec.md, plan.md, data-model.md, contracts/) for quality, completeness, and consistency. Checks for mandatory sections, cross-artifact consistency, and constitution compliance. Always run after /speckit.plan completes.
Playdate game development in Lua with the Playdate SDK. Covers game loop, sprites, graphics, input (crank, buttons, accelerometer), audio, UI, performance, metadata (pdxinfo), and simulator/device workflow. Use when asked to make a Playdate game, implement Playdate-specific mechanics, or apply Playdate design and accessibility guidelines.
Help users integrate Portaly digital products checkout — list a creator's digital products and let buyers purchase one item or a custom bundle via Portaly's hosted checkout, with signed webhook callbacks. Also covers test mode — which test card to use, and why a test purchase sends no email and shows up in no revenue figure. Trigger when the user mentions Portaly digital products, selling courses/downloads/templates via their own site backed by Portaly, building a "powered by Portaly" storefront, bundle pricing of Portaly products, publishing or unpublishing a Portaly product (taking one off sale from their own site), or is troubleshooting a Portaly test payment, test card, sandbox order, or a missing order confirmation email.
Router for Three.js post-processing effects domain. Use when implementing visual effects like bloom, glow, chromatic aberration, vignette, depth of field, color grading, or any screen-space effects. Routes to 3 specialized skills for bloom, effects, and composer setup.
The ONLY supported path for read-only Microsoft Fabric Power BI semantic model (formerly "Power BI dataset") query interactions. Execute DAX queries via the MCP server ExecuteQuery tool to: (1) discover semantic model metadata (tables, columns, measures, relationships, hierarchies, etc.) and their properties, (2) retrieve data from a semantic model. Triggers: "DAX query", "semantic model metadata", "list semantic model tables", "run EVALUATE", "get measure expression".
Guide an installing agent through a staged PPT or slide workflow without constraining its implementation choices. Use when the user wants a presentation, deck, storyboard, or slide-ready structure from a topic, article, report, or brief, and success depends on some combination of: clarifying the brief, gathering facts when needed, building an outline, creating page-level planning, generating reviewable intermediate artifacts, and degrading gracefully when the environment lacks research, rendering, or delivery capabilities.
Design presentation slides, infographic pages, and PPT-style visuals as 1600x900 HTML slides with optional PPT export. Use when the agent needs to pick or explain a slide style, recommend styles based on content, generate one or more static HTML slides, support `background_mode` paper or white for compatible light styles, or render finished slides into a high-fidelity image-based PPTX.
Read a real .pptx using text extraction, OOXML inspection, slide rendering, OCR, visual inventory, and vision-capable screenshot review; then write academic speaker notes grounded in every visible slide element, generate a complete display-version document, and inject clean notes into the PowerPoint notes pane. Use when the user wants speaker notes, presenter notes, a speech script, narration, or annotated notes for an existing PowerPoint deck, especially when slides contain images, charts, tables, SmartArt, axes, legends, or screenshot text.
Generates PR reference XML with commit history and unified diffs between branches, with extension and path filtering. Use when creating pull request descriptions, preparing code reviews, analyzing branch changes, discovering work items from diffs, or generating structured diff summaries.
Security-first PR review checklist for this repo. Use when reviewing diffs/PRs, especially changes involving auth, networking, sensitive data, or dependency/lockfile updates. Focus on secret/PII leakage risk, supply-chain risk (npm + node_modules inspection), cross-platform architecture (extension/mobile/desktop/web), and React performance (hooks + re-render hotspots). Avoid UI style nitpicks. PR Review.
Prisma ORM 7 CLI reference for existing Prisma 7 applications or explicitly selected Prisma 7 workflows. Covers prisma init, generate, migrate, db, dev, studio, and mcp. For setup, connection repair, or Prisma 8, use prisma-orm-setup; not the Prisma Platform CLI.
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.