Skills
101,174 packaged capabilities and playbooks for agents. Install any of them with one command.
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Generate free AI textures/skins (camo, gold plated, carbon fiber, rust, etc.) for Roblox game assets such as guns, weapons, tools, or any part/mesh, and apply them automatically inside Roblox Studio through the official Roblox Studio MCP—no manual clicking through Studio's Texture Generator plugin required. Use whenever the user wants to texture, skin, retexture, or reskin a Roblox model/mesh/gun/weapon/part, asks for an AI-generated texture or decal for a Roblox object, or wants to automate the Studio texture workflow end to end. Also trigger if the user asks for “free” or “no-cost” image/texture generation in a Roblox context, even if they do not name a specific tool. Requires the Roblox Studio MCP connected with Studio open—if that is unavailable, state so clearly instead of guessing.
Create and launch Testomat.io test runs with the `@testomatio/reporter` CLI. Covers manual runs for testers, mixed manual+automated runs, local test execution with reported results, and remote launches through a Testomat.io CI profile (`--remote`), and looking up existing runs (`fetch`). Runs can include the whole suite or be filtered by tag, plan, label, Jira ticket, or changed source files. Use when the user asks to start or create a test run from the command line, run a filtered group of tests, launch tests remotely, report results into an existing run, or find/list existing runs.
YC SAFE Agreement review and advisory skill for startup founders and lawyers. Use when user (1) uploads a SAFE agreement for review/comparison, (2) asks questions about how SAFEs work, or (3) requests to draft a standard YC SAFE. Triggers on keywords like SAFE, Simple Agreement for Future Equity, YC SAFE, valuation cap, discount, MFN, pro rata, convertible instrument.
Builds and validate revenue forecasts with pipeline coverage and gap analysis. Use when you're not confident in your commit number, pipeline coverage looks thin, a forecast call is coming and you need to tighten the number, weighted pipeline doesn't match gut feel, or there's a gap between target and what's realistic. Do NOT use for individual deal analysis (use /sales-deal-inspect) or building outbound cadences (use /sales-cadence).
Epiphan Video B2B sales - video capture/streaming lead qualification, pipeline metrics, MEDDIC discovery, and demo execution for Pearl devices, EC20 PTZ, and Epiphan Connect. Use for lead scoring, cold outreach to Higher Ed/Government/Corporate AV, and pipeline reviews.
Save & publish a Salla App Function — `salla_functions action=save` deploys to demo stores (poll `action=deploy_status`), then the app is published. Use after validating the handler, when you're ready to deploy and ship a function to production. Routed from salla-app-functions; test first → salla-app-functions-test; app publication → salla-app-builder / salla-publication-consistency; OAuth/tokens → salla-app-auth; webhook verification → salla-webhooks.
Build a Salla shipping app in two models — Shipping Management (one carrier: the modern Salla AWB model, App Functions inside Salla Partners, no backend) or Order Fulfilment (auto-dispatch across carriers). Create it, configure zones via salla_shipping, implement the sync App Functions shipment.creating (returns a Shipment with AWB + PDF label) and shipment.cancelling (returns Resp). Use when building for any carrier, AWB, label, tracking, COD, or return task. App Functions → salla-app-functions; OAuth → salla-app-auth; webhooks, publish → salla-webhooks, salla-app-builder.
Search and inspect local iOS 26 SDK documentation and Swift interfaces, especially SwiftUI and SwiftUICore. Use when Codex needs current iOS 26 SwiftUI APIs, Liquid Glass components, view modifiers, availability, signatures, deprecations, symbol docs, or SDK-only facts and should not rely on memory or public web docs being available.
Use when the user needs prompt design, optimization, few-shot examples, chain-of-thought patterns, structured output, evaluation metrics, or prompt versioning. Triggers: new prompt creation, prompt optimization, few-shot example design, structured output specification, A/B testing prompts, evaluation framework setup.
Mine longtail keywords + question keywords for a topic at scale to surface niche content opportunities. Outputs a content tier plan (template + URL pattern + sample pages + quality gates) suitable for programmatic publishing or steady editorial output. Distinct from `seo-keyword-cluster` (which plans pillar+spoke architecture from broad seeds) — this skill goes deeper into the long tail. Use when the user asks "longtail keywords", "question keywords", "niche content", "content opportunities at scale", "programmatic SEO", "content mining", or "what should I write about for {topic}".
Audit a web page, or crawl a whole site, for SEO and AEO gaps (crawlability, on-page, structured data, Core Web Vitals, AI-crawler access, answer extractability), then write a prioritized fix report and a long-term search and AI-visibility plan. Use when the user says "audit the SEO of <url>" (including a localhost URL), "check SEO before I deploy", "crawl my site for SEO issues", "why isn't this page ranking", "is my site ready for AI search or ChatGPT", "check my robots.txt for AI bots", or "did my SEO fixes land".
Conversation design skill for Salesforce Agentforce. Generates persona documents, topic architectures, instruction sets, utterance libraries, escalation matrices, and guardrail configurations. Validates existing agents against conversation design best practices with 120-point scoring.
Manipulation and analysis of planar geometric objects. Based on the widely deployed GEOS library. Provides data structures for points, curves, and surfaces, and standardized algorithms for geometric operations. Use for 2D geometry operations, spatial relationships, set-theoretic operations (intersection, union, difference), point-in-polygon queries, geometric calculations (area, distance, centroid), buffering, simplifying geometries, linear referencing, and cleaning invalid geometries. Essential for GIS operations, spatial analysis, and geometric computations.
Find and evaluate Claude skills for specific use cases using semantic search, Anthropic best practices assessment, and fitness scoring. Use when the user asks to find skills for a particular task (e.g., "find me a skill for pitch decks"), not for generic "show all skills" requests.
Use when you need to audit, evaluate, govern, safely retire, or transactionally upgrade locally installed or distributed agent skills. Triggers include skill sprawl, stale, broken, or conflicting skills, local cleanup or quarantine, managed physical collections, pre-migration review, and periodic inventory checks.
Explain and interpret a skill, a skills repository, or a skills system in a deep yet accessible teaching style. Use when the goal is to help readers truly understand how it works, why it works, what is worth learning, and how to design better skills.
Compose GitHub spec-kit, Ouroboros (ooo), and HKUDS CLI-Anything into one spec-driven delivery stack — Write → Freeze → Run, verified. Author the spec with `/speckit.*`, freeze it as an immutable ooo seed with machine-checkable acceptance criteria, arm the loop with agent-native CLI harnesses from CLI-Hub (`--json` output as evaluate evidence), and loop until verification passes. Routes three patterns — full-stack (spec-kit → ooo → cli-anything), loop-only (ooo), docs-only (spec-kit) — with explicit anti-patterns (two spec SSOTs, harness-first builds, seedless ralph loops). Use when the user wants spec-to-verified-artifact delivery, wants spec-kit and ooo to work together without fighting, or needs real software driven inside a verified loop. Triggers on: spec-stack, spec stack, write freeze run, spec to verified, speckit + ooo, ooo + cli-anything, spec-driven loop, verified delivery stack, seed with tools.
Diagnose and operate Spring AI projects with version-aware Maven or Gradle checks for ChatClient, advisors, retrieval, conversation memory, tool/MCP boundaries, streaming, configuration, and observability. Use for setup compatibility, local smoke checks, and failure triage; do not use for provider-specific model evaluation, general Java/Spring development, security threat modeling, or production rollout governance.
Format papers for Springer Lecture Notes in Computer Science (LNCS) and related proceedings series (LNAI, LNBI, CCIS) and Springer Nature journals using the llncs class or Springer Nature's sn-jnl template, covering page limits, abstract and keywords, splncs04 references, ORCID, running heads, camera-ready packages and the consent-to-publish form. Use when writing for conferences published in LNCS (e.g. ECCV, MICCAI, ESWC, many workshops), preparing an LNCS camera-ready, or targeting Springer Nature journals.
Use this skill when the user wants to check for stale PRs, "find old pull requests", "stale PRs", "PRs needing attention", or wants to identify pull requests that have been inactive for too long. This skill scans repositories for PRs that need action and generates a prioritized reminder report. Requires Gitee MCP Server to be configured.
Statistical models library for Python. Use when you need specific model classes (OLS, GLM, mixed models, ARIMA) with detailed diagnostics, residuals, and inference. Best for econometrics, time series, rigorous inference with coefficient tables. For guided statistical test selection with APA reporting use statistical-analysis.
Storybook story-writing and CSF 3.0 best practices skill. Use when: (1) writing new story files (.stories.tsx, .stories.ts); (2) editing existing stories; (3) configuring Args, Decorators, Parameters; (4) working with Storybook configuration files (.storybook/); (5) tasks include keywords such as “story,” “stories,” “storybook,” or “CSF”
Design, implement, review, or repair CI/CD pipelines, release artifacts, environment promotion, deployment rollout, verification, and rollback workflows. Use when software delivery or release safety is a primary part of the task. Do not use merely to run an existing local build or to deploy without explicit authorization for the target environment
When the user wants to analyze supply chain performance, build analytics dashboards, or track KPIs. Also use when the user mentions "supply chain metrics," "performance analytics," "KPI tracking," "dashboard design," "business intelligence," "data visualization," "supply chain reporting," "metrics analysis," or "performance measurement." For forecasting specifically, see demand-forecasting. For optimization, see optimization-modeling.
Coordinate multi-agent swarm workflows. Use when working in parallel with other agents, managing shared resources, or orchestrating distributed tasks. Covers conflict prevention, handoffs, and two-tier task tracking (native task list + artifacts).
Implements Syncfusion JavaScript 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, hierarchy grids, state persistence, and advanced data management features for data-intensive applications.
Guides implementation of the Syncfusion WinForms AutoLabel control for automatic label positioning with form controls. Use when users want to add labels that automatically reposition when controls move, create form layouts with paired label-control units, implement complex form designs with FlowLayout, or ensure labels stay synchronized with their associated controls. Covers labeling controls, positioning, spacing, size settings, theming, and events.
Implementation guide for Syncfusion Windows Forms Bullet Graph control for compact data visualization. Use this when working with bullet graphs, performance indicators, KPI visualization, comparative measures, or qualitative ranges in WinForms. This skill covers dashboard gauges, target vs actual comparisons, and performance range visualization in Windows Forms desktop applications.
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.