Skills
101,174 packaged capabilities and playbooks for agents. Install any of them with one command.
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Produce a self-contained context payload that lets a fresh agent continue without re-deriving what this session established. Use for cross-boundary transfer such as switching tools, starting a clean session, or handing off to another agent, and for DIY delegation flows where a focused side-session returns context to the parent
Runs a repo-aware expert huddle for engineering decisions, planning, research, verification, and spec capture. Trigger this skill when the user says anything like: "start a huddle", "open a huddle", "huddle up", "create a huddle", "call a team meeting", "assemble the team", "get the experts in", "let's have a huddle", "what does the team think", "I need multiple perspectives", "huddle up", "start a huddle", "open a huddle", "war room", "let's discuss this as a team", "bring in the team", "team sync", "daily standup", "what should we do about X", "help me think through this", "I'm stuck on X let's discuss", "resume the huddle", "continue our discussion", "what did we decide", "get me a spec", "summarise the huddle", "what are the action items". Also trigger when the user seems blocked, frustrated, or facing a decision with multiple tradeoffs — even if they don't explicitly ask for a huddle.
Performs a security review of Infrastructure as Code templates against the OWASP IaC Security Cheat Sheet, SLSA v1.0, and CIS Benchmarks. Auto-invoked when reviewing Terraform, CloudFormation, or Pulumi configurations. Detects hardcoded secrets, public exposure patterns, encryption gaps, overly permissive IAM, and misconfigurations equivalent to Checkov, tfsec, and KICS rules. Produces a structured findings report with remediation guidance.
30 inbound premises from Flip The Script - Content & Events, Product Interest, Social & Intent, and Sponsored Influencers. Use when building inbound follow-up sequences, categorizing marketing leads, or prioritizing inbound response.
Use this skill when a systematic review of a company's internal compliance management system is needed to identify gaps in policies, process deficiencies and data privacy compliance risks. Typical triggers include but are not limited to: - A company engages a lawyer or compliance consultant to conduct an internal compliance risk assessment - The company conducts a compliance self-inspection before an IPO, M&A or regulatory examination - After a compliance incident, the systematic deficiencies in the management system need to be investigated - When establishing or updating a compliance management system, the fit between existing policies and laws and regulations needs to be assessed - The user requests a review of the compliance of internal rules and regulations, core business processes or privacy policy agreements. This skill covers three review dimensions: completeness of the policy system, effectiveness of business process controls, and personal information protection compliance.
Run and inspect an app on an iOS Simulator: choose a target, install and launch, capture evidence, exercise accessibility-driven UI, and diagnose simulator failures. Use for explicit simulator testing or automation, not general iOS implementation, physical-device validation, or App Store approval.
Find out which clients and jobs actually make money -- allocate real costs (labor hours, materials, subs, overhead) against what each job billed, and rank every client by true margin. Most service businesses discover their biggest client is their least profitable.
Operate the Kalshi Trading Bot CLI for prediction-market research, edge discovery, basket construction, backtesting, portfolio monitoring, and guarded trade execution. Use when the user mentions kalshi-trading-bot-cli, Kalshi CLI, prediction market trading workflows, market edge scans, basket sizing, or CLI-based Kalshi trading.
Select a supported Kitaru adapter or build a project-local one for an unsupported Python or TypeScript agent framework. Use when a user wants to record or replay framework-native agent runs in Kitaru, needs a custom adapter, has no supported Kitaru integration for their framework, or needs to assess whether public framework hooks and the installed Kitaru SDK can support an adapter.
Build and validate a custom Kitaru trace importer when a provider, observability platform, export format, or agent framework has no suitable built-in importer. Use when a user wants to map provider traces into Kitaru sessions and nodes, add bounded provider API fetching, join per-turn traces into longer sessions, preserve incomplete or failed trace evidence, choose script or package installation, test importer fidelity, register an importer version, import a bounded sample, or diagnose a partial import.
Designs and builds knowledge graphs from unstructured or semi-structured data sources. Guides through data model selection (LPG, RDF, hypergraph, temporal), schema design, entity/relation extraction pipelines, and layered architecture construction. Use when designing knowledge graphs, choosing between LPG vs RDF, planning entity extraction, designing graph schemas, aligning ontologies, building a KG for RAG, or when user mentions knowledge graph construction.
KubeSense observability skills for AI agents — query logs, traces, metrics and real user monitoring (RUM) data from Kubernetes clusters and the apps on them, inspect cluster inventory, manage service level objectives, and generate alert and dashboard configuration
Landing page conversion optimization with layout rules, hero section design, and CTA psychology. Covers above-the-fold formula, social proof placement, mobile design, and F-pattern reading. Use for: startup landing pages, product pages, SaaS marketing, conversion optimization. Triggers: landing page, hero section, above the fold, conversion optimization, landing page design, CTA button, hero image, landing page layout, SaaS landing page, product page design, conversion rate, landing page best practices
Execute Ledger Device Management Kit (DMK) signing operations safely: initialize the SDK, establish a device session, verify device state, open the correct chain app, perform signing or device management operations, and return the result. Use when a developer needs to implement a signing operation (transaction, message, typed data), derive or retrieve an address from a Ledger device, send any command to a Ledger device, or perform device management operations such as genuine check, app install, or app uninstall.
Query a single Shopee public product detail. Input a product direct link containing -i.numeric shop ID.numeric item ID, supporting the Singapore, Indonesia, Malaysia, Philippines, Thailand, Taiwan, Vietnam and Brazil sites, and returns structured data currently available from the source, such as price, discount, sales, stock, SKU variants, images, brand, category, shop and rating. Triggered when the user mentions Shopee product details, Shopee product link parsing, price and stock checks, SKU variants, competitor page breakdown, Shopee product details, Shopee listing lookup. Even if the user does not explicitly say "product details", trigger this skill whenever they provide a Shopee product direct link and want to read the current public page data.
Convert Markdown documents to professionally typeset PDF files. Primary engine: reportlab (cover pages, frontispiece, back cover, bookmarks). Fallback engine: pandoc + XeLaTeX (better table handling, LaTeX-quality typesetting). Handles CJK/Latin mixed text, fenced code blocks, tables, blockquotes, clickable TOC, watermarks, headers/footers, and page numbers. Supports multiple color themes and is battle-tested for Chinese technical reports. Trigger when user mentions "markdown to PDF", "md2pdf", "any2pdf", "md转pdf", "报告生成", "导出pdf", or wants a professionally formatted PDF from markdown.
Hands-on playbook for macOS disk cleanup, dev-machine optimization, and proactive health alerting. Use when the Mac is full or slow, when a process persistently burns CPU, when a kernel panic / watchdog timeout / vm-compressor-space-shortage / Jetsam event happened, when the user asks to free disk space, audit storage, set up disk/memory/CPU alerts, or restore the same monitoring on a new Mac. Built around Mole (`mo` CLI) for safety guards plus a custom LaunchAgent-based alerter for active warnings. Covers Apple Silicon laptops with heavy AI/Docker workloads. Not for general macOS support, hardware diagnostics, networking issues, GUI / window-manager bugs, Time Machine recovery, or broken app installs.
Deterministic workflow to download MATLAB Package Manager (mpm) and install MathWorks products from the OS command line with consistent, repeatable behavior. Use when installing MATLAB, Simulink, toolboxes, or support packages via command line, or setting up scripted installations for CI/CD, containers, or fleet provisioning.
Two-tier memory system that makes Claude a true workplace collaborator. Decodes shorthand, acronyms, nicknames, and internal language so Claude understands requests like a colleague would. CLAUDE.md for working memory, memory/ directory for the full knowledge base.
Create or revise Mermaid diagrams that render inside Markdown, README files, GitHub, GitLab, wikis, and documentation sites. Use when the user explicitly requests Mermaid or needs a Markdown-native flowchart, sequence diagram, state diagram, class diagram, ER diagram, journey, Gantt chart, mind map, timeline, or lightweight architecture diagram. Prefer PlantUML for strict UML/C4 deliverables and ProcessOn only when editable hosted output is requested.
Agent-callable Microsoft SharePoint tools — find sites and document libraries, browse, search, upload, move and share files, manage lists and list items, and author site pages. Use when the user mentions SharePoint or wants to work with SharePoint sites, files, folders, lists, or pages, even if they don't name SharePoint explicitly.
Trade swing setups in the style of Mark Minervini, 3x US Investing Champion with 220%+ annual returns. Emphasizes SEPA methodology, trend templates, volatility contraction patterns (VCP), and strict risk management. Use when swing trading momentum stocks, identifying breakout setups, or building systematic trend-following strategies.
Professional DOCX document creation, editing, and formatting using OpenXML SDK (.NET). Three pipelines: (A) create new documents from scratch, (B) fill/edit content in existing documents, (C) apply template formatting with XSD validation gate-check. MUST use this skill whenever the user wants to produce, modify, or format a Word document — including when they say "write a report", "draft a proposal", "make a contract", "fill in this form", "reformat to match this template", or any task whose final output is a .docx file. Even if the user doesn't mention "docx" explicitly, if the task implies a printable/formal document, use this skill.
Expert in Machine Learning Operations bridging data science and DevOps. Use when building ML pipelines, model versioning, feature stores, or production ML serving. Triggers include "MLOps", "ML pipeline", "model deployment", "feature store", "model versioning", "ML monitoring", "Kubeflow", "MLflow".
Query Web3 blockchain data from Moralis API. Use when user asks about wallet data (balances, tokens, NFTs, transaction history, profitability, net worth), token data (prices, metadata, DEX pairs, analytics, security scores), NFT data (metadata, transfers, traits, rarity, floor prices), DeFi positions, entity/label data for exchanges and funds, or block and transaction data. Supports EVM chains (Ethereum, Polygon, BSC, Arbitrum, Base, Optimism, Avalanche, etc.) and Solana. NOT for real-time streaming - use moralis-streams-api instead.
Trigger this skill when multiple related documents need comprehensive analysis, extraction of shared viewpoints, identification of conflicts, and a unified overview. Typical triggers include but are not limited to: - the user uploads multiple judgments or rulings and asks for a summary of adjudication gist in similar cases - the user provides multiple contract texts and asks for the similarities, differences, and key variations among clauses - the user provides multiple laws, regulations, and judicial interpretations and asks for the evolution of the rules and points of application - the user provides multiple pieces of evidence and investigation records and asks for an integrated factual thread - the user provides several academic papers or research reports and asks for the consensus and disagreements in the research - the user asks to compare the viewpoints across multiple legal opinions. The core value of this skill: not simply compressing a single document, but building cross-document relational analysis, identifying commonalities and differences, and generating new integrated insights.
Production-grade NestJS backend standards for writing, reviewing, and evolving NestJS/Nest-style TypeScript services. Use when a repo has modules, controllers, providers/services, DTOs, guards, pipes, or Nest-oriented boundaries, or when designing NestJS APIs, modules, migrations, auth/RBAC, multi-tenant isolation, DDD layered/hexagonal architecture, ports/adapters, use cases, repository/query patterns, N+1/slow queries, validation, pagination, caching, error handling/exception filters, BullMQ/jobs, webhooks, uploads, decorators, provider scopes, dynamic modules, circular deps, health/readiness/shutdown, observability/logging/tracing, OpenTelemetry, testing, code review, modernization/version/runtime advice, or AI backend patterns like LLM gateways, SSE streaming, usage metering, and quotas. Verify volatile versions/commands/model IDs/APIs against official docs and the repo. Plain Express/Fastify/Hono/Koa without Nest boundaries: cross-cutting guidance only. Not for non-Node backends or pure frontend work.
Read the project's Ticket store, choose the single best Ticket for the human-plus-AI session to work on now, claim it, and present it with the reason it leads. Use when asking what's next, what should I work on, or pulling the next Ticket from the backlog. Selection stops after presentation; execution belongs to run-ticket or the person holding the claim.
Next.js 15+ App Router development patterns including Server Components, Client Components, data fetching, layouts, and server actions. Use when creating pages, routes, layouts, components, API route handlers, server actions, loading states, error boundaries, or working with Next.js navigation and metadata.
This skill should be used when the user asks to "get data from a website", "scrape a website", "extract product details", "compare prices across stores", "pull data from Amazon or Walmart", "generate a web scraper", "build a data extraction pipeline", or mentions Nimble. Covers discovering existing extraction agents, running them interactively, generating scripts for large-scale extraction, and creating new custom agents.
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.
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.