Skills
100,928 packaged capabilities and playbooks for agents. Install any of them with one command.
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JIT compilation skill for runtime code generation. Use when building LLVM ORC JIT, LLJIT, Cranelift JIT, inline caches, trampolines, or Rust dynasm codegen. Activates on queries about ORC JIT, LLJIT, Cranelift, ExecutionSession, inline cache, W^X, or dynasm
Linux kernel security skill for LSM, hardening, and exploit mitigations. Use when writing SELinux/AppArmor policies, seccomp-bpf filters, configuring KASLR/CET/PAC, or triaging kernel CVEs. Activates on queries about SELinux, AppArmor, seccomp, KASLR, CET, PAC, BTI, KASAN, or kernel CVE.
LLVM IR and passes skill for reading compiler IR. Use when analyzing LLVM IR, understanding SSA, pass pipeline order, or running opt on bitcode. Activates on queries about LLVM IR, SSA form, opt passes, llvm-dis, pass pipeline, or reading .ll files.
Use when producing any MEL/SRHR analytical deliverable (brief, evaluation design, indicator set, ToC, evidence review, data analysis) — especially under deadline pressure, on Opus/Sonnet/Haiku-class models, or when tempted to cite a source without opening it, skip a verification pass, or deliver in one draft. Also use when a specialist subagent prompt asks for "working discipline" or "five gates"
Use when generating images with Midjourney, constructing MJ prompts, iterating on MJ output quality, choosing between --sref/--oref/style codes, scoring image results, or building reusable prompt patterns. Also use when exploring MJ style codes, animating images, or debugging why a prompt isn't producing the intended result.
DEFAULT poster pipeline — build an academic conference poster (ICML/NeurIPS/ICLR/CVPR/...) as a single HTML/CSS file with measurement-driven hard gates, real paper figures, a two-hue design-token system, and print-ready PDF via headless Chromium. Use when the user says "做海报", "poster", "conference poster", "paper poster", or asks to design/redo a research poster. Supersedes the retired LaTeX /paper-poster.
Shopping price comparison using Bright Data's web scraping infrastructure. Finds where a product is sold, for how much, and whether it's in stock — across Amazon, Walmart, eBay, Best Buy, Google Shopping, and any retailer URL — then ranks the offers into a single buy-recommendation table. Use this skill when the user wants to compare prices, find the cheapest place to buy something, do a price check, see "how much does X cost on Amazon vs Walmart", track an item's price, or decide where to buy a product. Handles product names, ASINs, and direct URLs, and is region-aware (country affects price, availability, and which retailers apply). This is consumer purchase-decision research — for analyzing a competitor's pricing *strategy*, use competitive-intel instead.
Automate payer review of prior authorization (PA) requests. This skill should be used when users say “Review this PA request”, “Process prior authorization for [procedure]”, “Assess medical necessity”, “Generate PA decision”, or when processing clinical documentation for coverage policy validation and authorization decisions
Optimize AEM Edge Delivery Services commerce product pages for search engine crawling and indexing. Audits client-side rendered product content for crawlability, validates meta tags, Product schema.org structured data, canonical URLs, and image optimization. Addresses the core challenge that EDS product pages render catalog data via JavaScript, which search crawlers may not fully execute. Use when product pages are not appearing in search results or have poor search visibility
When the user wants to create SEO-driven pages at scale using templates and data. Also use when the user mentions "programmatic SEO," "template pages," "pages at scale," "directory pages," "location pages," "[keyword] + [city] pages," "comparison pages," "integration pages," or "building many pages for SEO." For auditing existing SEO issues, see seo-audit.
Recover USDC from a legacy Circle CLI Gateway `--method eco` deposit whose fixed refund recipient is the SCA's backing EOA. Use this skill for legacy Eco intents that are stuck, expired, waiting for refund, refunded to `eoaOwnerAddress`, missing from Gateway, or need a permissionless self-refund. Do not use its executable recovery phases for current Gateway v2 deposits, which set `refundRecipient` to the SCA. It covers calling Eco's Portal `refund(...)` with exact onchain intent data, then moving refunded USDC from the backing EOA to the linked SCA with ERC-3009, relayed by the SCA so the backing EOA needs no gas. The backing-EOA sweep also applies when USDC was sent directly to an Agent Wallet's backing EOA and the CLI reports \"Wallet not found\" for that address.
Default entry point for any research request — a hybrid router that classifies the question deterministically and either delegates to a specialist research skill (pulse for trends/sentiment, grants for NIH funding, litreview for academic literature, syllabus for course reading, patent for prior-art + IP landscape, dossier for entity research, deepread for evidence-first reading of supplied documents) or runs its own plan-decompose-multi-source-search-synthesize-cite fallback workflow when no specialist matches. Always surfaces the routing decision so users can override. Use when the user makes any research request that doesn't obviously match a more-specific specialist skill (e.g., "research [topic]", "look into [topic]", "what do we know about [topic]", "investigate [topic]", "find me information on [topic]", "do some research on [topic]", "I need to understand [topic]"). Output is a markdown briefing (default) or .docx document (on request) with full citations and an audit log.
Implements Syncfusion Angular Grid component for feature-rich data tables and grids. Use this when working with data display, sorting, filtering, grouping, aggregates, editing, or exporting. This skill covers grid configuration, CRUD operations, virtual scrolling or infinite scrolling, hierarchy grids, state persistence, and advanced data management features for data-intensive applications.
Comprehensive guide for implementing Syncfusion Blazor MultiColumn ComboBox component. Use this when displaying structured data in a dropdown with multiple columns, filtering, selection, paging, virtualization, grouping, and customization options. Perfect for complex data structures and advanced filtering scenarios in Blazor applications. Covers all MultiColumn ComboBox features from Syncfusion.Blazor.MultiColumnComboBox package.
A tool for searching popular Xiaohongshu posts. Search by keyword to retrieve popular content data, rank and recommend posts by data-based scores, and help creators discover trends and get inspiration. Runs only in the main Agent; do not dispatch to subagents. If the API returns insufficient credits (code=3210), it automatically opens Alipay to recharge and then continues the search
Use when you need to refactor Java code based on trusted profiling analysis findings — including reviewing repository-owned or maintainer-sanitized docs/profiling-problem-analysis and docs/profiling-solutions files, identifying specific performance bottlenecks, and implementing targeted code changes to address CPU, memory, or threading issues. This should trigger for requests such as Refactor the code with profiling; Apply profiling; Optimize hot path; Reduce allocations found in profiling; Fix CPU bottlenecks from profiling analysis. Part of Plinth Toolkit
Bootstrap a reproducible LLM Observability experiment through the Python ddtrace SDK or the Node dd-trace SDK. Use for experiment, dataset, evaluator, benchmark, regression, or LLM-as-a-judge scaffolding. The legacy Python invocation remains supported.
Comprehensive AI writing detection patterns and methodology. Provides vocabulary lists, structural patterns, model-specific fingerprints, and false positive prevention guidance. Use when analyzing text for AI authorship or understanding detection patterns.
Primary Python toolkit for molecular biology. Preferred for Python-based PubMed/NCBI queries (Bio.Entrez), sequence manipulation, file parsing (FASTA, GenBank, FASTQ, PDB), advanced BLAST workflows, structures, phylogenetics. For quick BLAST, use gget. For direct REST API, use pubmed-database.
Image generation, photo editing, background removal — transparent PNG images, cutouts, ecommerce packshots, product catalogs, lifestyle shots via Bria.ai. Build store-ready e-commerce catalogs at scale — shadows, product dimensions images, lifestyle scenes, marketplace listing variants. ALWAYS use this skill when the user wants to generate, edit, or transform any image — hero images, banners, social media visuals, product photos, illustrations, icons, thumbnails, ad creatives, or marketing materials — or to build a product catalog, create a packshot, stage a lifestyle shot, remove a background, make transparent PNGs, or batch-process product photos. Triggers on packshot, product catalog, product shot creator, lifestyle shot, cutout, product dimensions image, inpainting, outpainting, object removal, upscale, photo restoration, style transfer, relight, reseason, sketch-to-photo. Commercially safe, royalty-free.
Act on a codependix run that failed or reported drift—a boundary violation, a --check reports run that found stale exports, a project that failed its export, a missing anchor block, a NestJS container that failed to boot, a rejected command line, or a --write that produced no files. Use when codependix exits non-zero, a codependix-bound target fails, an edge or cycle breaks a declared rule, a committed Mermaid block disagrees with a fresh run, a graph export is missing for one project but not others, or before hand-editing an exported diagram or loosening a rule to make a check pass.
Write or edit a codometer.config.ts, declaring inputs, limits, custom convention counters, comment budgets, exclusions, or output destinations. Use when a repository has no codometer configuration yet, when adding a size or count limit, when bounding how long a comment block or a JSDoc comment may run, when declaring an input for compiled or generated output, when counting a naming convention no built-in analyzer knows about, when a limit fails to bind or an input matches no files, or when deciding whether one configuration can describe every project in a workspace
Run a codometer measurement, decide where its report goes, or read a badge block or JSON report it produced. Use when running codometer or npx @codometer/cli, choosing --output-json/--output-markdown and --check flags, wiring codometer into a CI step, splicing a badge block into a README, or reading a codometer JSON report's metrics, limits, or failures. Covers the command-line host directly, without assuming any task runner
Act on a codometer limit breach, a comment budget breach, a stale committed report, or a run that failed outright. Use when codometer --check exits non-zero, when a size or count limit is breached, when a comment block runs past its word, line, or character budget, when a committed report reads stale against a fresh measurement even though nothing changed, when a limit fails to bind or an input matches no files, or before reaching for a repository's limit value to make a failing check pass
Organize application environment configuration: `.env` files, env precedence, typed env validation, secret handoff, framework-specific env rules, and config drift between local, staging, CI, and production. Use when the user needs help structuring environment variables, validating required config, separating public/private env values, or cleaning up env-file sprawl. This is the narrower app-config compatibility skill. Route broader runnable-machine, Docker, devcontainer, onboarding, and local-service setup work to `system-environment-setup`.
Analyze financial statements for investment decisions: derive EBITDA and free cash flow (FCFF/FCFE) from the income statement and cash flow statement, compute ROIC, margins, and DuPont ROE decomposition, and assess quality of earnings via accruals and working capital trends. Use when the user asks about “reading a 10-K,” “income statement vs cash flow statement,” “how to calculate free cash flow,” “FCFF vs FCFE,” “EBITDA adjustments,” “ROIC vs WACC,” “DuPont analysis,” “quality of earnings,” “accruals ratio,” “cash conversion cycle,” “revenue recognition red flags,” “deferred taxes,” or “cost basis and embedded capital gains.” Also trigger for fundamental analysis questions like whether reported earnings are backed by cash, whether a company creates value above its cost of capital, or the tax consequences of selling an appreciated position
Blind-playtest and verify a game on its target runtime as a first-time player without reading source code. Run an isolated zero-knowledge playthrough first to uncover onboarding, guidance, interaction, pacing, and mobile viewport issues, then reconcile against design specs and record one complete-run verification receipt. Use to blind-playtest a generated game, QA a game build as a new player, audit first-run playability, or verify a game build. 游戏实机盲玩与运行验收。先以未读源码与设计文档的新玩家身份在目标运行环境中从头盲玩，排查上手引导、交互动线、视听节奏与视口适配问题，再对照设计规范核实定性，并用单次完整通关记录生成验收凭证。用于新玩家视角盲测游戏、诊断实机体验问题或验收构建版本。
Generate project status reports from Jira issues and publish them to Confluence. Use when an agent needs to: (1) create a project status report, (2) summarize project progress or updates, (3) generate weekly/daily reports from Jira, (4) publish status summaries to Confluence, or (5) analyze project blockers and completion. Queries Jira issues, categorizes them by status/priority, and creates formatted reports for delivery managers and executives.
Route local Git work into the safest next move: branch hygiene, selective staging, commit cleanup, merge-vs-rebase choice, conflict resolution, lease-safe pushes, and recovery from resets or bad history edits. Use when the user needs help preparing a branch, cleaning up commits, syncing with an updated base, resolving local Git conflicts, pushing rewritten history safely, recovering lost commits, or getting a diff ready for review. Not for hosted PR review, repo administration, or sprint planning.
Expert architectural standards for scalable Godot Apps, Tools, EditorPlugins, and Control-heavy UIs using Composition (Has-A Orchestrator + components). Use when building dashboards, tool windows, forms, settings panels, or EditorPlugin UIs. Do NOT use for gameplay entities (Player/Enemy/Weapon/Hitbox) — route those to godot-composition. Trigger keywords: Control, EditorPlugin, tool UI, Orchestrator, VLS, rock test, AuthComponent, ThemeManager, Saveable component, dependency injection.
Turns a full inbox into a short, ranked list of what actually needs the owner. Reads the mail, sorts it into needs-you, drafted-and-waiting, and handled, writes replies in the owner's own voice, pulls out the action items and deadlines buried in long threads, files what is finished, and hands bills, leads, and scheduling requests to the skills that own them. Works from pasted or forwarded email text when no mailbox is connected. Use this whenever the owner mentions email at all — including "drowning in email," "I have 300 unread," "what emails need me," "go through my inbox," "clean up my email," "did I miss anything," "who am I supposed to get back to," "draft a reply to this," or "catch me up on my mail." Reach for it for one forwarded message as readily as for a whole morning's backlog.
Write comments on other people's LinkedIn posts that read as a person with an opinion, not a bot. Use when the user pastes a post and wants a comment, says "comment on this", "engage with this", "what do I say here", or wants a batch of comments for their engagement round.
Use when working with n8n's built-in Data Tables, designing schemas, inserting/updating/upserting rows, deduping, or querying. Triggers on "Data Table", "data table", `n8n-nodes-base.dataTable`, "dedup", "idempotency", "lookup", "persistent state", "store across executions", or any schema design discussion inside n8n.
Generate videos from text prompts (and optional reference or frame images) using OpenRouter's asynchronous video generation API. Use when the user asks to create, generate, or make a video or animation from a description, animate an existing image, or turn a prompt into a short video clip.
Generate unique personalized first lines for hundreds of prospects using company news, LinkedIn activity, and mutual connections. Saves 10+ hours of manual research per campaign. Use when you need personalized outreach at volume.
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.