Skills
100,696 packaged capabilities and playbooks for agents. Install any of them with one command.
All
Knip dead code detection best practices for JavaScript and TypeScript projects. Use when configuring Knip, analyzing unused code, setting up CI integration, or cleaning up codebases. Triggers on knip.json, dead code, unused exports, unused dependencies, bundle optimization.
This skill should be used when the user asks to "line edit", "edit my prose", "polish this chapter", "tighten the prose", "improve the sentences", "copyedit", "proofread", "proof pass", "check grammar and punctuation", "dialogue punctuation", "make the voices distinct", "everyone sounds the same", "read it aloud", "read-aloud pass", "text to speech", or wants a sentence-level quality pass on drafted chapters that preserves the author's voice. NOT for creating the style sheet, recording character voices, or checking voice consistency (use voice-style).
Retrieve and download Amazon seller store reports. Supports requesting, polling status, downloading, and extracting more than 95 report types, including inventory, orders, sales and traffic, FBA, financial settlements, returns, and Brand Analytics, and generates a downloadable URL for the extracted files. Trigger this skill when the user mentions pulling or downloading Amazon reports, inventory reports, order reports, sales and traffic reports, Business Report, FBA reports, settlement reports, returns reports, Brand Analytics, ABA search terms, Amazon store reports, or pulling or downloading Amazon reports. Also trigger it when the user wants to bulk export structured business data for a time period from Amazon Seller Central, even if they do not explicitly say “report.” For a small number of real-time orders, products, or prices, prefer the corresponding dedicated skill. This skill depends on linkfox-amazon-store-auth.
Analyzes pooled CRISPR screen FASTQ reads and guide-count matrices with MAGeCK, validates guide libraries and contrasts, measures replicate and library QC, and produces gene hit rankings with effect sizes and FDR. Use for new knockout, CRISPRi, or CRISPRa screen analysis, enrichment or depletion contrasts, and MAGeCK count/test workflows; existing public dependency-score lookup belongs to DepMap.
Solves seawater carbonate chemistry with PyCO2SYS for chemical oceanography, ocean acidification, and marine carbon-cycle research. Use for paired total alkalinity, dissolved inorganic carbon, pH, or seawater pCO2/fCO2 measurements; carbonate speciation; aragonite and calcite saturation; Revelle factors; lab-to-in-situ temperature and pressure corrections; and measurement uncertainty propagation. Applies to carbonate-system calculations, not general aqueous speciation or air-sea gas-flux estimation.
Comprehensive psychoeducation on mental health conditions, therapy modalities, evidence-based coping techniques, psychiatric medications, and self-assessment frameworks. Educational resource only — not medical advice, diagnosis, or treatment. Use when learning about mental health concepts, understanding therapy options, exploring coping strategies, or recognizing when to seek professional help. Trigger on "mental health", "therapy types", "coping strategies", "anxiety", "depression", "ADHD", "psychiatric medication", "when should I see a therapist".
MindOS is the user's local knowledge assistant and a knowledge base shared across sessions and Agents. It stores decision records, meeting notes, SOPs, troubleshooting experience, architecture choices, research findings, and preferences. Tasks are limited to the mindRoot knowledge base. Do not use it to modify code repositories, project source code, or paths outside the KB. Core concepts: spaces, instructions (INSTRUCTION.md), and skills (SKILL.md); notes can contain instructions and skills. Trigger scenarios: saving or recording anything; searching historical notes or context; updating or editing files; organizing or restructuring files; executing an SOP or workflow; capturing decisions from conversations; reviewing or summarizing experience; appending table or CSV data; handing off context across Agents; distilling lessons learned; syncing related documents; checking whether something was discussed before; querying past decisions; finding templates or SOPs; preparing context for a meeting; quickly saving to the inbox; organizing the inbox; checking knowledge health; detecting knowledge conflicts or contradictions; and finding outdated content. Trigger phrases: remember this for me, search my notes, update the knowledge base, organize files, run the workflow, save to the knowledge base, make a note, organize notes, review, distill lessons, sync documents, check previous records, are there related notes, what did I write before, save this, summarize and save, hand this off to another Agent, append to the table, put it in the inbox, organize the inbox, check knowledge health, detect knowledge conflicts. Proactive behavior—don't wait for the user to mention MindOS: (1) If the user's question suggests historical records may exist (past decisions, previous discussions, meeting notes), search MindOS first, even if they don't explicitly mention the knowledge base. (2) After completing valuable work (fixing a bug, making a decision, summarizing experience, choosing an architecture, or finishing a meeting), proactively suggest saving it to MindOS for future reference. (3) After a long or multi-topic conversation, suggest preserving key decisions and context.
Processes calibrated one-dimensional complex NMR free-induction decays with nmrglue into phased spectra, peak candidates, and signed integration regions. Use for raw 1D NMR processing, ppm-axis verification, apodization, Fourier transformation, manual phasing, baseline correction, or reproducible spectral integration.
Write, refine, run, and QA promptfoo evaluation suites: promptfooconfig.yaml, prompts, providers, vars, tests, assertions, model-graded rubrics, transforms, datasets, exports, and CI gates. Use for non-redteam eval coverage, regression tests, or new eval matrices. Do not use for adversarial redteam plugin or strategy setup.
Processes paired-end 16S amplicon reads into QIIME 2 ASVs and taxonomy with retained artifact provenance. Checks paired FASTQ manifests, primer orientation diagnostics, predicted post-trimming overlap, sample IDs, runtime versions and read retention, and guides selection of compatible taxonomic classifiers.
Configures Render private services—internal-only apps that accept traffic exclusively from other Render services over the private network. Use when the user needs an internal API, microservice, gRPC server, sidecar, or any service that should not be publicly accessible. Also use when choosing between a private service and a background worker. Trigger terms: private service, pserv, internal service, internal API, microservice, gRPC, not public, private network service.
Diagnose why a SigNoz alert fired by correlating the alert's own signal with neighbor signals (error rate, latency, throughput, CPU/memory), traces, and logs around the fire window, and rank likely causes. Make sure to use this skill whenever the user asks "why did this alert fire", "what caused alert X", "investigate this alert", "RCA for the alert that paged me", "what's wrong with [service]" in the context of a recent fire, or otherwise asks for a root-cause analysis of a firing or recently-fired alert. Read-only; does not modify any alert or notification.
When the user wants help creating, scheduling, or optimizing social media content for LinkedIn, Twitter/X, Instagram, TikTok, Facebook, or other platforms. Also use when the user mentions "LinkedIn post," "Twitter thread," "social media," "content calendar," "social scheduling," "engagement," or "viral content." This skill covers content creation, repurposing, and platform-specific strategies.
Comprehensive guide to sub-agents in Claude Code: built-in agents (Explore, Plan, general-purpose), custom agent creation, configuration, and delegation patterns. Use when: creating custom sub-agents, delegating bulk operations, parallel research, understanding built-in agents, or configuring agent tools/models.
Use this skill when working with symbolic mathematics in Python. This skill should be used for symbolic computation tasks including solving equations algebraically, performing calculus operations (derivatives, integrals, limits), manipulating algebraic expressions, working with matrices symbolically, physics calculations, number theory problems, geometry computations, and generating executable code from mathematical expressions. Apply this skill when the user needs exact symbolic results rather than numerical approximations, or when working with mathematical formulas that contain variables and parameters.
Implement Syncfusion Blazor Scheduler component for comprehensive appointment and event scheduling. Use this when building calendar interfaces, managing appointments with CRUD operations, implementing multiple view modes, setting up recurring events, or handling timezone-aware scheduling. This skill covers views (day, week, month, timeline, agenda), drag-and-drop functionality, resizing, resources, localization, data binding, state persistence, and advanced customization options for scheduling applications.
Simulates biochemical kinetic models from SBML or Antimony with Tellurium and libRoadRunner, checks model units, compares deterministic parameter perturbations, and exports and replays SBML plus SED-ML COMBINE archives. Use for reaction-network time courses, kinetic parameters, concentration dynamics and reproducible simulation experiments; steady-state constraint-based metabolic flux analysis belongs to cobrapy.
Analyze metabolomics data end-to-end — metabolite identification, quantification (TIC normalization, batch correction), differential analysis, and pathway interpretation. Use for processing mass-spec metabolomics output, normalization choice, untargeted metabolomics workflows, and integrating with other omics layers.
Use a consultative, modular, step-by-step approach to add or configure only the Maven plugins you need in pom.xml. Covers quality tools (enforcer, surefire, failsafe, jacoco, pitest, spotbugs, pmd), security scanning (OWASP), code formatting (Spotless), version management, container image builds (Jib), build information tracking, and benchmarking (JMH). Trigger for requests to add or improve Maven plugins in pom.xml, configure Maven quality plugins, add Maven build lifecycle plugins for Java verification, or review Maven plugin versions and executions. Part of Plinth Toolkit
Conduct accessibility audits against WCAG 2.2 guidelines. Evaluate pages, components, and flows for conformance at A, AA, and AAA levels. Identify issues, assess severity, provide code fixes, and generate audit reports. Covers automated testing, manual testing, keyboard navigation, screen reader compatibility, color contrast, and semantic HTML.
Scan an AEM Edge Delivery Services page for WCAG 2.1 AA accessibility violations and generate specific fixes. Identifies missing alt text, heading hierarchy issues, link text problems, color contrast concerns, and EDS-specific accessibility patterns. Use when fixing accessibility issues, preparing for compliance audits, or remediating WCAG violations.
Diagnose and manage Alibaba Cloud databases through natural language. Use when users need to troubleshoot database performance issues (high CPU, slow queries, abnormal connections, lock waits), check instance status, analyze disk space, optimize SQL, run health inspections, or detect security baseline violations. Supports RDS (MySQL/PostgreSQL/SQL Server), PolarDB, MongoDB, Redis (Tair), and Lindorm. Trigger this skill even for casual descriptions like “my database is slow”, “can't connect to the database”, “help me check this SQL”, or “database disk is almost full”. Also suitable for consulting Alibaba Cloud-specific database features (e.g., PolarDB Serverless, DAS autonomy capabilities) and comparing product differences (RDS vs PolarDB). Do NOT use this skill for general SQL tutorials, non-Alibaba Cloud databases, or local database administration.
Geometry Nodes in Blender 5.2 - fields, domains, attributes, instancing, zones (simulation/repeat/for-each), closures/bundles, lists, SDF grids, node tools, baking, plus a JSON-to-node-tree builder and socket inspector. Use for scattering, procedural assets/environments, parametric tools and modifier inputs.
Learn from public breach disclosures — extract the audit question each one implies and check your own stack. Capital One IMDS abuse, LastPass vault exfiltration, Okta Lapsus$, Snowflake credential reuse, MOVEit, SolarWinds, Equifax, Target POS, Codecov, Uber, Twilio, Polymarket's compromised DebugBear script — what would you check now if your boss said 'could that happen to us?' Use when the user mentions 'breach analysis,' 'lessons learned,' 'security postmortem,' 'breach patterns,' 'breach lessons,' 'has this happened to us,' 'apply breach lessons,' 'preempt breaches,' 'security retrospective,' 'real-world security incidents,' or wants to harden against known attacker playbooks.
Audit and update metadata across multiple AEM Edge Delivery Services pages. Scans pages via the query index, identifies missing or inconsistent metadata (titles, descriptions, og tags, robots), and generates a corrected bulk metadata spreadsheet. Use when standardizing metadata across a site, preparing for launch, or fixing SEO issues at scale.
Connect a CALL-E / HeyCall account, verify access, prepare or place real outbound phone calls, query results, and cancel tasks. Honor explicit interface choices and keep existing calls on their original interface. For other new operations, use MCP whenever the host supports it, completing authorized connection setup and OAuth when needed. Select API Key before any related business write only when the host explicitly lacks MCP support or complete discovery confirms the required capability is missing. Missing connections, unloaded tools, authentication failures, cancelled authorization, incomplete discovery, and unknown write outcomes do not trigger automatic fallback.
Runs reproducible CellProfiler microscopy pipelines for nuclear segmentation, cell counts, and per-object fluorescence measurements. Supports image/channel manifests, headless batch execution, segmentation overlays, and measurement QC for 2D fluorescence assays.
Route repo-navigation requests to one search packet before editing: exact-text, symbol/indexed, structural, config/content, hosted search, or graph/path trace. Use when the user asks where something is defined or referenced, which files own config/content surfaces, or what must be inspected before a change
Scan container images for vulnerabilities using Trivy, Grype, and cloud-native tools. Identify security issues in base images, packages, and configurations. Use when implementing container security, building secure images, or meeting compliance requirements.
Explain core Contentful concepts and direct users to the right implementation skill or documentation. Use when users ask conceptual questions, need terminology clarified, want help choosing between APIs (CDA/CMA/CPA/GraphQL), or need guidance on the Contentful MCP server. Also triggers on "Contentful 101", "which Contentful API", "how do I get started", "which skill should I use", "what does X mean in Contentful", "Contentful glossary", "CDA vs CPA", "CDA vs GraphQL", "how does Contentful work", "Contentful architecture", "explain environments", "what are aliases", "content model design", "headless CMS", "Contentful MCP", "MCP server", "set up MCP", "Remix Contentful", "Astro Contentful", "Gatsby Contentful", "SvelteKit Contentful", "Nuxt Contentful". Not for framework-specific implementation (contentful-nextjs), migrations (contentful-migration), personalization (contentful-personalization), or hands-on REST/GraphQL request examples (contentful-api).
Search the web using DuckDuckGo via the ddgr CLI tool. Use when the user asks to search the web, look something up online, find information on the internet, get instant answers, or needs current/real-time data. Also use for DuckDuckGo Bang searches (e.g., "!w" for Wikipedia, "!so" for StackOverflow).
Broad DeFi market overview combining category rankings, chain comparison, total TVL trends, top protocols, and market events. Use when the user asks for a market summary, "what's happening in DeFi", weekly recap, overall market state, DeFi dashboard, or wants a high-level snapshot of the ecosystem.
Screens for core stock candidates with high returns on capital, stable moats, long-term compounding potential, and strong earnings quality, then outputs priorities, valuation discipline, and key points for ongoing monitoring. Suitable for selecting long-term core holdings, building a pool of compounding assets, and comparing high-quality companies.
SIF overview analysis of keyword competition in the Amazon marketplace. Trigger this skill when the user mentions keyword competition, supply-demand ratio, competitor count, keyword search volume estimates, market competitiveness assessment, keyword popularity rankings, ad competition analysis, the number of products under a keyword, keyword competition, supply-demand ratio, competitor count, search popularity, market competition analysis, SIF, or keyword overview. Trigger it even if the user does not explicitly say “SIF,” as long as their request involves assessing keyword-level competitive intensity, supply-demand balance, or the number of products in Amazon search results.
Look up patent bibliographic data in the PatSnap database by patent ID or publication number. Trigger this skill when the user mentions patent bibliographic data, patent metadata, applicant or inventor lookup, patent classification, abstract retrieval, citation analysis, priority claims, citations in patent applications, patent examiner information, PatSnap, or patent citations. Also trigger it when the user needs detailed metadata for a specific patent by patent ID or publication number, even if they do not explicitly mention bibliographic data.
Query patent legal status information from the PatSnap database. Trigger this skill when the user mentions patent legal status, patent validity checks, patent status lookup, patent event history, simple legal status, legal events such as transfer, licensing, pledging, opposition, litigation, or reexamination, or terms such as patent legal status, patent validity, patent events, transfer/license/pledge, PatSnap, or patent status lookup. Also trigger it when the user asks whether a patent is active, inactive, under examination, expired, granted, withdrawn, or revoked, or wants to look up legal status by patent ID or publication number.
Delegate complex, long-running tasks to Manus AI agent for autonomous execution. Use when user says 'use manus', 'delegate to manus', 'send to manus', 'have manus do', 'ask manus', 'check manus sessions', or when tasks require deep web research, market analysis, product comparisons, stock analysis, competitive research, document generation, data analysis, or multi-step workflows that benefit from autonomous agent execution with parallel processing.
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
Create and edit Obsidian Bases (.base files) with views, filters, formulas, and summaries. Use when working with .base files, creating database-like views of notes, or when the user mentions Bases, table views, card views, filters, or formulas in Obsidian.
Evidence-first development — surround the implementation with an executable spec and a gauntlet of constraints (tests, types, coverage, mutation) so line-by-line review becomes optional. Use when the user explicitly asks for high-assurance or evidence-first work ("reliable", "TDD", "prove it works", "I won't read the code"), or when the change touches high-stakes domains (money, auth, data loss, concurrency, public API). For routine changes where the user just wants normal tests, write good tests directly instead of invoking this loop.
Computes finite-temperature CALPHAD equilibria, phase fractions, and phase compositions from thermodynamic TDB databases using pycalphad. Use for alloy phase stability, equilibrium temperature sweeps, tie lines, lever-rule checks, or reproducible phase-fraction calculations with explicit components and mole-fraction conditions.
Comprehensive guide for implementing Syncfusion Blazor calendar components including Calendar, DatePicker, DateRangePicker, DateTimePicker, and TimePicker. Use this when building date selection interfaces, date range selection, date/time input, calendar displays, date constraints, formatting, globalization, and accessible calendar experiences in Blazor applications. Covers all calendar components from Syncfusion.Blazor.Calendars package.
Implements Syncfusion Blazor SfDataManager for data access, data binding, and adaptor configuration in Blazor Server, WebAssembly, and Web App. Used when binding components like SfGrid and SfDropDownList to local or remote data sources, choosing adaptors (UrlAdaptor, ODataAdaptor, WebApiAdaptor, GraphQLAdaptor), or performing CRUD. Includes custom binding using DataAdaptor, DataManagerRequest, DataOperations, and the Syncfusion.Blazor.Data package.
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.