Skills
100,928 packaged capabilities and playbooks for agents. Install any of them with one command.
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Embedded C code style assistant based on coding standards from 51 microcontroller teaching projects. Uses snake_case by default, with camelCase as an option. Use it to create project structures that follow embedded development standards, improve code style, and provide hardware driver templates. Suitable for embedded C projects for 51 microcontrollers, STM32, and more.
Expert-level quantum computing, Qiskit, quantum algorithms, and quantum information. Use when the user mentions quantum computing, Qiskit, quantum algorithms, or quantum information, or when the task involves Quantum Mechanics Basics, Quantum Hardware, Circuit Design, or Algorithm Implementation.
Comprehensive sales and revenue operations skill. Use when building a sales team, doing founder-led sales, hiring the first sales reps, navigating enterprise deals, implementing product-led sales, designing sales compensation plans, defining ICP, mapping buyer personas, or optimizing the revenue engine (RevOps). Activates for: sales strategy, rev ops, revenue operations, sales enablement, sales compensation, ICP, ideal customer profile, buyer persona, sales process, deal execution, lead scoring, lead routing, lead lifecycle, MQL, SQL, pipeline management, CRM automation, sales qualification, BANT, MEDDIC, founder sales, enterprise sales, product-led sales, startup sales, SDR, AE, quota, ramp, commission plan.
Turn a data file (CSV/TSV/TXT/XLSX/XLS/JSON) into standalone interactive ECharts HTML charts - 32 chart types, 3 themes, fully offline with no CDN. A data profile (--profile) lets the agent read the data itself and decide what to plot; each chart ships with an embedded fact sheet (plot_stats plus data_preview). This skill produces charts and facts, not written reports or narrative documents. TRIGGER: user supplies or points to a tabular data file and wants a chart; asks to generate a chart/make a graph/visualize data.
Srcwalk is the agent's code navigator: one tree-sitter CLI for repo maps, token-aware large-file reads, symbol search, callers/callees, deps, impact checks, and precise drill-ins. Use it before raw reads or grep for code-structure work. Run `srcwalk guide` first. Must use! It is the installed binary's source of truth.
Generates TestNG tests in Java with groups, data providers, parallel execution, XML suite configuration, and listeners. Use when user mentions "TestNG", "@DataProvider", "testng.xml", "groups". Triggers on: "TestNG", "@DataProvider", "testng.xml", "TestNG suite", "parallel tests Java".
Security threat modeling, attack surface mapping, and trust boundary analysis on a codebase. Triggers on 'threat model', 'security review', 'attack surface', 'trust boundaries', or when assessing a project's security posture. Also trigger when the user is about to build security-sensitive features (auth, crypto, file I/O, network services, native bridges) and needs to understand the threat landscape first — even if they don't explicitly say "threat model." Also triggers on 'what changed' or 'diff analysis' for incremental security review of recent commits.
Histone-modification ChIP-seq, ATAC-seq accessibility, chromatin state, and TF binding analysis from ENCODE, Roadmap Epigenomics, ChIP-Atlas. Use for chromatin-state-by-tissue queries, TF-binding-by-region, regulatory landscape mapping, and ENCODE-cCRE annotations. For DNA methylation use tooluniverse-epigenomics; for RNA-seq use tooluniverse-rnaseq-deseq2
GPCR receptor pharmacology — agonist/antagonist/inverse-agonist/biased-agonist classification, GPCRdb structural data, receptor-ligand binding analysis, antibody-target interface (SAbDab). Use for GPCR drug discovery, biased-agonism analysis, receptor subtype selectivity questions, and orthosteric vs allosteric pocket characterization
Find and retrieve proteomics datasets from MassIVE, ProteomeXchange, PRIDE Archive, and the NCI Proteomics Data Commons (PDC). Search by species, keyword, accession, or protein; retrieve detailed metadata (instruments, publications, species, PTMs studied), real file-download URLs (PRIDE), or quantitative abundance matrices with clinical linkage (PDC/CPTAC). Use for locating public proteomics datasets to reanalyze, comparing instrument/protocol coverage across studies, pre-download dataset evaluation, and finding every dataset that identified a specific protein.
Biological sequence analysis — gene/protein sequence retrieval (NCBI, Ensembl, UniProt), nucleotide/protein search, ortholog discovery, and FASTQ QC + alignment workflows (Trimmomatic, BWA, samtools, coverage depth). Use for sequence retrieval, sequence comparison, FASTQ QC analysis, and read alignment pre-processing
Enforces Flutter widget composition — extract named const Widget classes never `Widget _buildX()` methods, lean build() (no I/O/formatting/domain math, precompute in the ViewModel), dumb Views that watch one Notifier and route intents via ref.read, StatelessWidget by default with every controller disposed, lazy `.builder` lists, cheapest-widget choices (SizedBox/ColoredBox/Align over Container), a strict key policy (ValueKey for reorderable lists, never GlobalKey), gesture→visible-focusable-fallback wiring, plus structural layout — full-bleed background vs SafeArea content, computed cell sizing, the GridView cross/main-axis spacing trap, EdgeInsetsDirectional, and resizeToAvoidBottomInset/IME handling. Use when building or refactoring any screen or widget, splitting a large build() into components, writing GridView/ListView/LayoutBuilder/SafeArea/Scaffold, wiring onTap/onLongPress/Draggable, choosing a key or data class, or reviewing widget code in a diff.
Use when you need to design, review, or improve modular monoliths with Spring Modulith in Spring Boot applications - including application module package structure, ApplicationModules verification, named interfaces, allowed dependencies, domain events, @ApplicationModuleTest, Scenario-based module tests, generated documentation, actuator exposure, observability, and event publication registry choices. This should trigger for requests such as Add Spring Modulith to a Spring Boot application; Review Spring Modulith module boundaries; Improve modular monolith architecture in Spring Boot; Add @ApplicationModuleTest tests; Generate Spring Modulith documentation. Part of Plinth Toolkit
Manage Alibaba Cloud Flink VVP instances and namespaces through create/query operations only. Use when user asks to create or query Flink instances, namespaces, regions, zones, or tags in Chinese or English. Reject Flink SQL/job requests, unrelated cloud services (ECS/Kafka/OSS/DataWorks), and all update/delete operations
Performs initial binary triage by surveying memory layout, strings, imports/exports, and functions to quickly understand what a binary does and identify suspicious behavior. Use when first examining a binary, when the user asks to triage, survey, or analyze a program, or wants an overview before deeper reverse engineering.
Write the canonical ai-env blueprint plan for a multi-step task (Step 3 of /task). Runs one brainstorming round, uses ai-workspace/plans/TEMPLATE.md, and writes ai-workspace/plans/<name>.md. Skipped for one-sentence scope. Does not review—that is /review (Step 4).
Use when an ask names one phase of design system work, such as "extract tokens from the app" or "add states and specs to our Button", or for an empty repo, such as "start a design system from scratch". A whole-app ask on a shipped app ("we need a design system") goes to design-system-boss when it is installed. Moving an app onto an existing system is migrate-design-system
Configure a GitLab CI/CD pipeline that embeds SAST (Semgrep, SpotBugs, Gosec, Bandit, NodeJsScan), DAST, container scanning, dependency scanning, and secret detection via GitLab's managed security templates. Use when building a shift-left DevSecOps pipeline in GitLab, adding automated vulnerability scanning stages to .gitlab-ci.yml, or triaging scanner findings with GitLab Duo AI before deployment.
Log that a video has been shot. **Create a video folder + ask whether the actual filming script matches scripts/<id>.md + buffer +1**. Paired with cheat-publish: filmed items enter the queue; published items leave it. Trigger phrases: “拍了”/“拍了 X”/“shot”/“shot it”/“已拍 X”/“录完了”。
Sinh sẵn 1-liner để trace 1 lệnh approve/return/reject của DMS trên log BE (docker) + FE proxy, ghi ra file .sh cho user copy-paste lên product server. Dùng khi user nói "viết lệnh check approve", "check duyệt request <CODE>", "approve treo / không thấy lệnh duyệt", "/check-approve".
This skill should be used when the user asks to "upload images to Cloudflare", "implement direct creator upload", "configure image transformations", "optimize WebP/AVIF", "create image variants", "generate signed URLs", "add image watermarks", "integrate with Next.js/Remix", "configure webhooks", "debug CORS errors", "troubleshoot error 5408/9401-9413", or "build responsive images with Cloudflare Images API".
Migrate an Adobe Commerce App Builder project from the Integration Starter Kit or Checkout Starter Kit to the new App Management approach. Run from the root of the App Builder project to be migrated. Pass --auto to skip confirmation prompts (suitable for CI or batch use) — auto mode prints a summary of all Q&A questions answered with their defaults. Pass --doc-scan-only to scan README.md and env.dist for outdated content without modifying any files. Use when the user wants to migrate an App Builder project from the Integration Starter Kit or Checkout Starter Kit to the App Management approach, or mentions upgrading their Adobe Commerce extension architecture.
Finds duplicate business logic spread across multiple components and suggests consolidation. Use when asking "where is this logic duplicated?", "find common code between services", "what can be consolidated?", "detect shared domain logic", or analyzing component overlap before refactoring. Do NOT use for code-level duplication detection (use linters) or dependency analysis (use coupling-analysis).
Write one component's documentation entry from its code, stories, and real call sites, in a Geist-style page order. Use for "document the button," "write docs for Select," "what states does Toast have," usage rules for a component, or a new or changed component. Skip foundations, overview pages, and multi-component patterns. Docs for a whole design system go to design-system-boss.
Monad architecture concepts that affect how developers build apps—async execution, parallel execution, block states, reserve balance, EIP-7702, real-time data sources, and execution events. Fetch this skill when the developer needs to understand Monad-specific behavior that differs from Ethereum.
DatoCMS CLI (datocms) — command-line migrations, schema codegen, schema inspection, one-off CMA calls, typed TypeScript CMA scripts, env operations, deployment workflows, multi-project profile syncing. Use for datocms CLI commands/scripts: migrations:new, migrations:run; schema:generate; schema:inspect (dump models, blocks, fields, validators, appearance, fieldsets, nested blocks, referenced/embedding models); cma:call, cma:docs, cma:script (ad-hoc typed TS with ambient client/Schema globals); migration scaffolding for models/fields/blocks; CLI setup via datocms.config.json + profiles; OAuth (login/logout/whoami); projects:list; project link/unlink; env list/fork/promote/rename/destroy; maintenance-mode toggle; CI/CD migration pipelines; blueprint/client project sync; imports from WordPress or Contentful (assets + content); CLI plugin management.
Load when reviewing UI code; designing a component or layout; picking an easing curve or transition; deciding whether something should animate or make a sound; choosing typography, color (OKLCH, contrast), or avatars; writing UI copy or errors; auditing for AI-default tells, code tells, or a11y misses; making a screen look less generated; using DESIGN.md or .design tokens; writing design-system docs for agents; giving Agentation feedback; asking why a UI feels flat or unfinished; judging when delight earns its weight; designing or generating UI sound effects and syncing them to motion; planning, cutting, scoring, or reviewing a product launch video; creating or animating SVG (icons, mascots, logo reveals, video-to-vector); drawing a diagram or tldraw canvas; prototyping directions behind a picker; building a tool instead of re-prompting; or choosing which design skill should own a job. Distills Emil Kowalski, Benji Taylor, transitions.dev, guidelines.sh, Vercel, Index, Apple, and 47 measured launch films.
Anti-slop frontend skill for landing pages, portfolios, and redesigns. The agent reads the brief, infers the right design direction, and ships interfaces that do not look templated. Real design systems when applicable, audit-first on redesigns, strict pre-flight check.
The original v1 taste-skill, preserved for projects depending on its exact behavior. The current default is `design-taste-frontend` (v2 experimental), which is a substantial rewrite. Use this v1 install name only if you need exact backward compatibility.
A two-spread digital e-guide preview — page 1 is a cover (display title, author, "What's inside" stats, table of contents teaser); page 2 is a spread (lesson body with pull-quote and a step list). Lifestyle / creator brand tone. Use when the brief asks for an "e-guide", "digital guide", "lookbook", "lead magnet", "creator guide", "playbook", "PDF guide", or "电子指南".
Eva Learn 2.5.0 is the entry point for the independent learning project. Use when the user explicitly says /eva-learn, eva-learn, Eva Learn, or clearly asks in natural language to “help me understand,” “guide me through systematic learning,” “read with me,” “do a topic-based reading,” or “continue the previous learning session.” All Learn tasks must first create or restore a traceable profile, then begin teaching in the same turn. Does not handle ordinary explanations, creative writing, editing, titles, sponsored content drafts, or turning source material into short videos or articles. Triggers include: /eva-learn, eva-learn, Eva Learn, enter Eva Learn mode, help me understand, guide me through systematic learning, read with me, do question-led learning, do topic-based reading, continue the Eva Learn learning project, continue the previous learning project, or pick up where we left off in the previous guided reading.
Inspects PostHog Web analytics Live tab data — current users online, last-30-minutes pageviews, top pages, referrers, devices, browsers, countries, bot traffic, and the per-minute bot/users charts. Use when the user asks "who is on my site right now?", "what is happening live?", "what bots are crawling me?", asks about the "live tab" / "live dashboard", wants live numbers (last 30 min), or wants help filtering or drilling into the live view. Also covers building product-analytics insights that mirror what the tiles show.
Translate Figma nodes into production-ready code with 1:1 visual fidelity using the Figma MCP workflow (design context, screenshots, assets, and project-convention translation). Use when the user provides Figma URLs or node IDs and asks to implement designs or components that must match Figma specs. Requires a working Figma MCP server connection. Do NOT use for general Figma data fetching, variable exploration, or MCP troubleshooting (use figma instead).
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
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.