Skills
98,067 packaged capabilities and playbooks for agents. Install any of them with one command.
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Scores and ranks outbound hypotheses before launch and turns them into a launch queue—the pre-launch evaluation method from Victor Shulga's guide on testing cold-outreach hypotheses: a stop-filter gate, canonical hypothesis format with the number N, channel-capacity check, six-factor weighted score on the 0/1/3/5 scale, priority queue where the top three go into work, and a journal skeleton for the facts. Trigger when the user says "оціни гіпотези", "оцінка гіпотез", "пріоритизуй гіпотези", "яку гіпотезу запускати першою", "черга запуску", "відбери 3 гіпотези", "score these hypotheses", "prioritize hypotheses", "which hypothesis do we run first", or provides a list of campaign ideas or a hypothesis matrix and asks what goes into work. Also use to rescore a hypothesis matrix before launch, or audit a hypothesis list the team wrote itself. NOT for generating hypotheses from scratch (use hypo-generator), NOT for reading results after a test has already run
Generate app icons with transparent backgrounds. Triggers include: "generate icon", "create icon", "make icon", "app icon", "favicon", "icon for", "logo icon", "icon set", "icon pack", "transparent icon" Creates square PNG icons with transparent backgrounds suitable for app icons, favicons, and UI elements.
Analyze liquid markets with a strict ICT/SMC framework that combines multi-timeframe bias, liquidity sweeps, displacement, close-confirmed MSS/BOS, FVG/OB/Breaker/OTE retracements, premium-discount location, session timing, invalidation, targets, and risk-to-reward. Use for ICT chart reviews, live-market analysis, OHLCV scans, or validating a user's trade thesis. Return an auditable setup status and conditional plan; do not use for generic indicator analysis, order execution, or claims of proven institutional intent.
Scandit ID Capture (`IdCapture`) in React Native projects — scanning passports, driver's licenses, ID cards, residence permits, visas via MRZ, VIZ, barcode, or mobile documents. Use for integration, accepted-document and scanner configuration, captured-field result handling, anonymization, add-on capabilities (voided-ID detection, European driving-license back decoding, AAMVA barcode verification), and SDK version migration.
Use this skill for any image-related AI generation or editing task. Triggers include: GENERATE: "generate image", "create image", "make picture", "draw", "visualize", "image of", "create art", "generate art" EDIT: "edit image", "modify image", "change image", "update image", "fix image", "enhance image" ADD/REMOVE: "add to image", "put in image", "remove from image", "delete from image", "add element" STYLE: "style transfer", "make it look like", "convert style", "apply style", "in the style of" PRODUCT: "product photo", "product placement", "place product", "mockup", "put product on" COMPOSITE: "combine images", "merge images", "blend images", "create composite" Supports text-to-image generation, image editing with references, product placement, style transfer, and multi-image composition using Google Gemini (Nano Banana Pro) or OpenAI DALL-E.
Upscale and enhance images with Real-ESRGAN, Thera, Topaz, FLUX Upscaler via inference.sh CLI. Models: Real-ESRGAN, Thera (any size), FLUX Dev Upscaler, Topaz Image Upscaler. Use for: enhance low-res images, upscale AI art, restore old photos, increase resolution. Triggers: upscale image, image upscaler, enhance image, increase resolution, real esrgan, ai upscale, super resolution, image enhancement, upscaling, enlarge image, higher resolution, 4k upscale, hd upscale
Implements and audits GCP VPC firewall rules using gcloud, covering auditing overly permissive rules, creating restrictive ingress/egress rules, hierarchical firewall policies, and monitoring rule effectiveness with VPC Flow Logs. Use when deploying GCP workloads needing network access controls, auditing firewall configs, or responding to Security Command Center findings; not for Cloud Armor or DNS-based filtering.
This skill should be used when the user asks to "improve a skill", "make this skill better", "add features to a skill", "this skill is missing something", "upgrade my skill", "what's missing from this skill", "the skill doesn't do X", "make this more useful", or wants to improve skill effectiveness rather than structural correctness. Not for structural fixes — use repair-skill. Not for agents.
Searches Indeed job postings and pulls single job listings via the Crawlora API — keyword + location search, location autocomplete, and job detail by job key — returning clean JSON. Use when the user wants to search Indeed for jobs, look up location suggestions for an Indeed search, or fetch the full detail of a specific Indeed posting.
Edits raw travel footage into polished Instagram Reels (9:16, 1080×1920) with cinematic color grading, beat-synced cuts, text overlays, transitions, and background music. Use when the user mentions editing a reel, travel reel, Instagram video, cutting footage, travel clips, reel from footage, or provides folders with destination subfolders and optional shared _music or _fonts.
Guide an ISV developer or merchant through integrating Payroc's Hosted Payment Pages (HPP) from credential setup to first successful UAT test transaction. Use this skill whenever someone asks about integrating Payroc Hosted Pages, implementing HPP, setting up a Payroc payment form, generating a Payroc auth hash, handling a Payroc receipt callback, getting Payroc payments working in their application, running a pre-authorization, capturing a pre-auth, holding funds on a card, authorize and capture flows, saving or tokenizing a customer's card on the Payroc Hosted Page, getting a Payroc secure token or CARDREFERENCE, or setting up recurring billing, subscriptions, repeat payments, payment plans, free trials, installments, or merchant-initiated transactions on Payroc — even if they don't explicitly mention "integration" or ask for step-by-step guidance.
When the user wants to jointly optimize inventory and routing decisions, implement vendor-managed inventory (VMI) systems, or coordinate replenishment and delivery logistics. Also use when the user mentions "IRP," "inventory routing," "vendor-managed inventory," "VMI optimization," "integrated inventory and transportation," "delivery scheduling with inventory," "maritime inventory routing," "petrol station replenishment," or "coordinated inventory-distribution." For pure routing, see vehicle-routing-problem or route-optimization. For pure inventory, see inventory-optimization or multi-echelon-inventory.
Build a production-ready Ionic Capacitor mobile app with Angular standalone components, lazy-loaded routes, services for cross-cutting concerns, and @ngx-translate/core for i18n. Trigger when the user wants to create an Ionic Angular app, scaffold pages (onboarding, paywall, tabs, settings), or wire RevenueCat / AdMob / push notifications into an Angular Ionic project.
Use when iterating over object keys and values. Use when for...in loops produce type errors. Use when Object.entries returns any types. Use when dealing with prototype pollution concerns. Use when considering Map vs object.
Multi-conversation methodology for iterative stateful work with context accumulation. Use when users request work that spans multiple sessions (research, debugging, refactoring, feature development), need to build on past progress, explicitly mention iterative work, work logs, project knowledge, or cross-conversation learning.
JingSwap STX↔sBTC cycle monitor and participation agent. Reads live cycle state and prices directly from the Stacks contract via Hiro API and Pyth oracle — no API key required. Outputs PARTICIPATE / MONITOR / WAIT_FOR_DEPOSIT_PHASE / NO_SBTC_AVAILABLE with oracle-vs-DEX discount analysis.
Receive and verify Jira Cloud webhooks. Use when setting up Jira webhook handlers, debugging signature verification, or handling issue and comment events like jira:issue_created, jira:issue_updated, jira:issue_deleted, comment_created, or comment_updated.
Finds, evaluates, fills, submits, and tracks a candidate's own job applications using a verified resume, evidence-based targeting, secure local profile storage, and browser automation. Use for onboarding or migrating a job-search profile, searching active roles, assessing a posting, applying to an authorized URL or batch, recording outcomes, or reviewing application effectiveness.
Use when asked to "jobs to be done", "JTBD", "why customers churn", "prep for customer interviews", "hire and fire products", or "find real competitors". Helps discover unmet needs and the context behind purchasing decisions. The Jobs to be Done framework (created by Clayton Christensen and Bob Moesta) explains why customers hire and fire products.
AI video creation. Supports text-to-video (generating video from text descriptions) and image-to-video (animating images), with configurable resolution, duration, and aspect ratio; automatically waits for generation to complete and downloads the video locally. Use cases: user says "帮我生成一段夕阳海浪的视频", "把这张图片生成动态视频", "创作一段1080P的城市夜景延时视频", "生成一个9:16竖版的产品展示短视频", "做一段10秒的水墨山水动态画面", etc. Submits asynchronous tasks through the 聚合数据 (juhe.cn) API, automatically polls for results, and downloads the finished mp4 video file locally once generation completes.
Kubernetes container escape and cluster attacks. Use when the target runs in a K8s environment, when ports 6443/10250/2379 are discovered, when a ServiceAccount Token is obtained, or when you are already inside a container. Covers container escape, Pod privilege escalation, API Server unauthorized access, etcd leakage, RBAC abuse, and node takeover. This skill should be used in any scenario involving Kubernetes, container orchestration, or cloud-native security.
Kubernetes storage and file share exploitation. Use when a Pod mounts NFS/EFS/PV/ConfigMap/Secret, when /efs or /mnt directories are found, or when a remote file system appears in mount output. Covers NFS mount exploitation, AWS EFS uid/gid spoofing, mountless reading with nfs-cat, and sensitive data extraction from PVs. Use this skill whenever any remote mount or shared storage is found in a container.
Scaffold a production-ready Python Kafka producer and consumer using `confluent-kafka-python`, with Schema Registry, graceful shutdown, idempotent producer, tests and a complete project layout. Discovers the target topic, partition count and registered JSON Schema directly from the live cluster via any attached Kafka MCP server (Lenses MCP, Confluent's MCP, Aiven's, custom) before asking the user. Use when user says "build a Python Kafka consumer", "scaffold a Kafka client in Python", "add Kafka to my Python service", "consume from `<topic>` in Python" or "write a Kafka producer". Do NOT use for Kafka Connect connectors, schema-evolution reviews or non-Python clients.
Create and format commit messages with a fixed 5-character prefix and a Japanese subject. Always use this skill whenever the user asks to commit, wants a commit message, needs a commit message reformatted, wants help choosing a prefix or commit type from the changes, or uses short prompts like "commit", "commit plz".
Makes and fixes 3D assets in Blender, for games, the web and AR. Use when the user wants a 3D model, prop, character or GLB/glTF/FBX/USDZ file made — from a text brief, a reference image, a free marketplace (PolyHaven, Sketchfab) or AI generation — AND when they bring an existing 3D file to fix: too heavy or too many polygons (optimize, compress, LODs), broken normals, scale or origin, materials lost on glTF export, conversion between GLB, FBX and USDZ, texturing, rigging for animation, animating it (walk and idle cycles, text-to-motion, looping clips, articulated props), or inspection. Drives Blender through a Blender MCP server (ahujasid's or the official Blender Lab one). Batch mode produces many consistent assets unattended. Kiln Studio (`/kiln studio`) opens the project's models in the browser, where the user reviews them and pins notes for Claude to act on.
Multimodal knowledge pipeline skill — ingest documents (PDF/image/video/Office) into a persistent knowledge wiki, supporting knowledge fusion, cross-source contradiction detection, multi-source aggregate queries, and knowledge graph construction. Trigger this skill when the user mentions ingesting documents, building a knowledge base, querying the wiki, checking consistency, building a knowledge graph, document analysis, multimodal understanding, data pipelines, and similar needs. Even if the user does not explicitly say pipeline or knowledge-pipline, this skill should trigger whenever the task involves turning documents into structured knowledge, cross-document analysis and comparison, or knowledge graph visualization.
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.