Skills
98,284 packaged capabilities and playbooks for agents. Install any of them with one command.
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Suggest and validate semantic dictionary (SD) mappings for new security integrations using vendor API samples or live events. Use when mapping new security vendor data to Dynatrace SD; checking required fields; validating namespaces; highlighting discrepancies vs. the semantic dictionary; proposing mapping improvements; or running runtime validation against live tenant data.
Performs pathway and gene-set enrichment analysis on gene lists or ranked gene data and interprets the results. Use when the user has a gene set (differentially expressed genes from PyDESeq2/Scanpy, CRISPR-screen hits, cluster marker genes, proteomics hits) and wants to know which biological pathways, GO terms, or gene sets are over-represented or enriched. Covers over-representation analysis (ORA / Enrichr / Fisher / hypergeometric), ranked Gene Set Enrichment Analysis (GSEA / preranked), single-sample scoring (ssGSEA/GSVA), and functional profiling via gseapy, g:Profiler, Enrichr libraries, MSigDB, GO, KEGG, Reactome, and WikiPathways—plus gene-ID mapping, choosing the right background universe, multiple-testing correction, redundancy reduction, dot plots/enrichment maps, and publication-ready tables. Use for “pathway analysis,” “enrichment analysis,” “GO enrichment,” “KEGG/Reactome pathways,” “GSEA,” “over-representation,” “functional annotation,” or “what pathways are my genes in”
Create or redesign creative agency, production studio, architecture, culture, and portfolio websites with billboard typography, hard black-and-white chapters, exposed grids, documentary imagery, irregular collages, restrained parallax, brutalist navigation, and accessible FAQ controls.
SOQL query generation, optimization, and analysis with 100-point scoring. Trigger when the user writes, optimizes, or debugs SOQL/SOSL queries, touches .soql files, or asks about relationship queries, aggregates, or query performance. Do not trigger for bulk data operations (use sf-data), Apex DML logic (use sf-apex), or report/dashboard queries.
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to “open a website”, “fill out a form”, “click a button”, “take a screenshot”, “scrape data from a page”, “test this web app”, “login to a site”, “automate browser actions”, or any task requiring programmatic web interaction.
Write deadpan LinkedIn pinned comments and matching image-generation prompts in the user's voice. Use when the user asks for a pinned comment, pin comment, or first comment for a LinkedIn post. Always produce the image prompt first, then caption it with the 4-line comment. Output both together unless told otherwise.
Two-step workflow for creating quote posts on LinkedIn. The assistant drafts original short quotes to accompany a caption, then produces a Gemini prompt that recreates a reference image with the chosen quote baked in. Use this skill whenever the user says "quote post", "quote graphic", "motivational post", "build me a quote", or wants a low-effort high-engagement LinkedIn graphic. Optimised for LinkedIn's employee and early-career audience, which skews toward motivational content.
A comprehensive starting point for AI agents to work with Capacitor. Covers core concepts, CLI, app creation, plugins, framework integration, best practices, storage, security, testing, troubleshooting, upgrading, and Capawesome Cloud (live updates, native builds, app store publishing). Pair with the other Capacitor skills in this collection for deeper topic-specific guidance.
Builds, runs, and debugs Nextflow DSL2 pipelines and nf-core workflows. Use for Nextflow, nf-core, .nf files, nextflow.config, processes/channels/operators, samplesheets, nf-test, modules/subworkflows, container and executor configuration, HPC/SLURM or cloud deployment, and failed or resumed pipeline runs
Use when the user wants a social listening report about what people are saying about a brand, person, product, topic, category, or niche across public social platforms. Produces cited themes, sentiment caveats, notable posts, and recommended actions.
Modern Angular best practices for building performant, maintainable Angular 17+ applications. Covers Signals, RxJS, components, templates, styles, performance, SSR, testing, forms, routing, accessibility, and architecture — with code examples and impact ratings for every rule. Use this skill whenever the user is working on Angular code of any kind: components, services, templates, stylesheets, routes, tests, or configuration. This applies to editing .component.ts, .service.ts, .html templates, .scss/.css styles, .spec.ts tests, .routes.ts files, store files, and any general .ts file in an Angular project. Look for angular.json, nx.json, or @angular/core imports as project indicators. Do not use for AngularJS (1.x), React, Vue, or non-Angular TypeScript projects.
Guides embedding model migration in Qdrant without downtime. Use when someone asks “how to switch embedding models,” “how to migrate vectors,” “how to update to a new model,” “zero-downtime model change,” “how to re-embed my data,” or “can I use two models at once.” Also use when upgrading model dimensions, switching providers, or A/B testing models.
Reference for Zustand 5.x state management, including slices, middleware, Immer, useShallow, persistence, selectors, and devtools integration. Documents seven core patterns with TypeScript examples and anti-patterns. Use when building React state management with Zustand instead of Redux.
Board meeting preparation for the adversarial scenario, not the friendly one. Forces numbers-cold mastery, anticipates hard questions, builds a narrative that acknowledges weakness without losing the room. Use when preparing for a board meeting, an investor update, fundraising presentation, or any high-stakes adversarial review where every number must live in your head not just on a slide.
Etsy SEO analyzer and optimizer. Improve search visibility with title optimization, tag analysis, description scoring, and keyword research. Includes SEO scoring (0-100), long-tail keyword suggestions, and prioritized action plans. No API key required.
Review a web app or page for visual design quality — layout, typography, spacing, colour, hierarchy, consistency, interaction patterns, and responsive behaviour. Not a UX audit (that checks usability) — this checks whether it looks professional and polished. Produces a design findings report with screenshots. Triggers: 'design review', 'does this look good', 'review the design', 'check the layout', 'is this polished', 'visual review', 'design audit', 'make it look better', 'it looks off'.
Use when the user asks to “optimize meta tags”, “write title tags / meta descriptions”, “add Open Graph or Twitter cards”, or “generate schema / JSON-LD” for FAQ, HowTo, Article, Product, or LocalBusiness rich-result candidates. Produces title/description options, an OG+Twitter block, and validated JSON-LD for the document head. Not for body copy — use content-writer; not for crawl/index technical issues — use technical-seo-checker. Title optimization / meta descriptions / Schema markup / structured data
Create React loading, processing, selected, current, focus, and pressed states with the border-beam package's animated edge glow. Use when a card, button, input, tab, option, task panel, or agent surface needs a restrained traveling or breathing beam; includes installation, imports, prop selection, state wiring, reduced motion, accessibility, and performance and layout guardrails.
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.
Use this skill whenever the user wants to analyze binaries with radare2/r2 from the command line, including reverse engineering, disassembly, function analysis, strings/import inspection, patching, binary diffing, hex inspection, or r2 scripting. Also use it when the user mentions PE/ELF/Mach-O/DEX/WASM files together with CLI analysis, `rabin2`, `rasm2`, `radiff2`, `r2pipe`, or asks for radare2 command help on Windows/Linux/macOS.
Salesforce debug log analysis and troubleshooting with 100-point scoring. TRIGGER when: user analyzes debug logs, hits governor limits, reads stack traces, or touches .log files from Salesforce orgs. DO NOT TRIGGER when: running Apex tests (use sf-testing), fixing Apex code (use sf-apex), or Agentforce session tracing (use sf-ai-agentforce-observability).
Produces structured judgment briefs for contested situations — news events, decisions, conflicts, strategy questions. Surfaces hidden bets, real disagreements, unspeakable truths, and who concretely pays. Use when the user wants sharper thinking about something messy, not a summary
Audit an LLM eval pipeline and surface problems: missing error analysis, unvalidated judges, vanity metrics, etc. Use when inheriting an eval system, when unsure whether evals are trustworthy, or as a starting point when no eval infrastructure exists. Do NOT use when the goal is to build a new evaluator from scratch (use error-analysis, write-judge-prompt, or validate-evaluator instead).
Add and tune animated liquid-metal WebGL borders with the React `metal-fx` package. Use when buttons, icon controls, chips, tabs, cards, or selected surfaces need a metallic active, selected, hover, focus, or premium border; when implementing the MetalFx component from metal.jakubantalik.com; or when troubleshooting its presets, themes, strength, glow, reflections, sizing, radius, animation, accessibility, SSR, or performance.
Create GitHub Pull Request from specification using pull_request_template.md. Use when: spec needs to be converted to PR, spec is ready for review/merge, need to automate PR creation from specification file with template-based body and title.
Profile, diagnose, and improve Three.js or WebGL game performance without regressing gameplay. Use for frame-time drops, CPU/GPU pressure, draw calls, texture and geometry budgets, animation loops, adaptive quality, mobile performance, and browser performance verification.
Remove AI-generated patterns from QA reports, bug reports, test summaries, status updates, and quality communications. Detects and rewrites robotic test-result language, template-sounding status updates, inflated severity descriptions, and generic stakeholder reports — without inventing facts. Makes QA writing sound like a real engineer wrote it. Use when: "humanize report," "rewrite QA summary," "fix test report," "make this sound human," "clean up status update." Not for: general prose, blog, or marketing-copy cleanup — use the global humanizer skill. Not for: classifying or routing CI failures — use ai-bug-triage. Related: ai-bug-triage, qa-metrics, qa-dashboard, quality-postmortem.
**WORKFLOW SKILL** - Aspire router. Detects AppHosts, enforces guardrails, and selects the right sub-skill. USE FOR: Aspire AppHost, Aspire CLI, distributed app, cloud-native .NET, aspire start/stop/resource/deploy/destroy/publish/init/new/add/wait/describe/ps/logs/otel, aspire agent init, WithBrowserLogs, WithTerminal, TerminalService, terminal prompts, WithRepl, tapes, Interaction Service, apphost.mts, TS package managers, Yarn Classic, custom resource commands, .aspire/modules recovery, ProjectResource to DotnetProjectResource migration, or Playwright URL discovery. DO NOT USE FOR: non-Aspire projects or ordinary build/test tasks. INVOKES: aspire-init, aspireify, aspire-project-v2-migration, aspire-orchestration, aspire-deployment, aspire-monitoring, aspire-terminals. FOR SINGLE OPERATIONS: Route directly to the matching sub-skill.
Use when the user asks to "plan my site structure", "design the page hierarchy / navigation / URL taxonomy", "fix internal linking", or "find orphan pages"; runs two modes — architecture (hierarchy, nav, URL patterns, hub/spoke clusters, Mermaid site maps) and linking (link graph, authority flow, anchor text, orphan disposition, source/target/anchor plan) — and outputs a structure score /100 plus a handoff summary. Not for external backlinks — use offsite-signal-analyzer; not for XML sitemap or indexation issues — use technical-seo-checker. 网站架构/信息架构/站点地图/内链优化
Finds Skills in configured local repositories before searching CCPM. Use when discovering or reusing a Skill, finding PDF/code-review tools, inspecting a Skill, listing installed/popular/recent Skills, or installing/updating/removing Claude Code Skills/plugins
Pre-mortem plan analysis. Imagine the plan failed 12 months from now and work backwards to find the weaknesses. Surfaces assumptions, dependencies, and execution risks before committing resources. Use before significant resource commitments, before presenting to a board or investors, when feedback has been one-sidedly positive, or when there is pressure to move fast and figure it out later.
Execute crypto trades (buy, sell, swap, exchange), manage cash deposits and withdrawals, and query account balances, market prices, and transaction history via the Crypto.com APP API. View weekly trading limits, portfolio positions, bank accounts, and payment networks. Use when the user wants to trade cryptocurrency, deposit or withdraw cash, check bank account details, view deposit instructions, or manage fiat wallet operations. Supports BTC, ETH, CRO, and 200+ tokens across fiat and crypto wallets
Use when the requested deliverable includes creating, reviewing, moving, splitting, or updating a repository AGENTS.md; produces scoped repo guidance. Do not trigger for standalone skills, prompts, non-AGENTS instruction files, READMEs, changelogs, or architecture docs.
Audit websites, apps, screenshots, mockups, and design code for harmful AI-design clichés, generic generated defaults, and established UI defects. Use when the user wants evidence-backed design feedback, an anti-slop review, or a removal-first cleanup plan without a speculative redesign.
Guidance for working with Pulumi ESC (Environments, Secrets, and Configuration). Use when users ask about managing secrets, configuration, environments, short-term credentials, configuring OIDC for AWS, Azure, GCP, integrating with secret stores (AWS Secrets Manager, Azure Key Vault, HashiCorp Vault, 1Password), or using ESC with Pulumi stacks
Salesforce DevOps automation using sf CLI v2. TRIGGER when: user deploys metadata, creates/manages scratch orgs or sandboxes, sets up CI/CD pipelines, or troubleshoots deployment errors with sf project deploy. DO NOT TRIGGER when: writing Apex/LWC code (use sf-apex/sf-lwc), creating metadata XML (use sf-metadata), or querying org data (use sf-data).
Use this skill whenever LMX is used, produced, reviewed, migrated, or modified. This includes composing campaigns, loops, lifecycle emails, or email-message bodies for the Loops editor or Content API. LMX (Loops Markup Language) is the format used for Loops email content. Trigger on phrases like "create a campaign", "generate an email", "write a welcome email", "draft a lifecycle email", "build an email template", "create an onboarding email", "copy this into LMX", "migrate this email", "convert this email to LMX", "design a new Loops email", "use imagegen for a Loops email", "use gpt-image for an LMX reference", "visual reference for a Loops email", "LMX", "Loops email", or any request to produce, copy, migrate, convert, review, or modify email body content intended for Loops. For net-new emails or major visual redesigns, follow this skill's Net-New Email Design Flow before generating or sourcing new visual assets. Source copy, existing HTML, MJML, Markdown, screenshots, and migration instructions do not bypass this skill's rules unless the user explicitly overrides a specific rule. Do not trigger for questions about the Loops HTTP API, SDK integration, or CLI unless email body content is also involved.
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.