Skills
96,981 packaged capabilities and playbooks for agents. Install any of them with one command.
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Use this skill when the user asks to "repair an agent", "audit an agent", "fix my agent", "review agent quality", "check if my agent is well-written", "diagnose agent problems", "what's wrong with this agent", "improve this agent", or "what's wrong with this agent file". Not for skills — use repair-skill.
Repository packaging for AI/LLM analysis. Capabilities: pack repos into single files, generate AI-friendly context, codebase snapshots, security audit prep, filter/exclude patterns, token counting, multiple output formats. Actions: pack, generate, export, analyze repositories for LLMs. Keywords: Repomix, repository packaging, LLM context, AI analysis, codebase snapshot, Claude context, ChatGPT context, Gemini context, code packaging, token count, file filtering, security audit, third-party library analysis, context window, single file output. Use when: packaging codebases for AI, generating LLM context, creating codebase snapshots, analyzing third-party libraries, preparing security audits, feeding repos to Claude/ChatGPT/Gemini.
Design probes and diagnostics to inspect what a model representation has learned. Use for embeddings, intermediate features, collapse checks, retrieval behavior, clustering structure, mechanistic interpretation-lite, or when aggregate accuracy does not explain internal behavior.
Proactively analyze user requests at the start of conversations to determine task type, assess prompt quality, and intelligently recommend which skills to activate. Should activate for ALL user requests to ensure optimal workflow. Evaluates clarity, specificity, and completeness to suggest prompt-optimizer when needed. Identifies UI design tasks for ui-analyzer and component requests for react-component-generator. Acts as intelligent skill coordinator.
Review revenue recognition policy impacts for SaaS, subscriptions, usage billing, credits, discounts, bundles, upgrades, downgrades, renewals, cancellations, refunds, implementation fees, marketplaces, deferred revenue, contract modifications, and finance handoffs. Use when product, pricing, billing, or sales changes could affect when revenue should be recognized.
Use when writing Python code with the Rich library — console output with markup, tables, progress bars, syntax highlighting, pretty printing, logging, or tracebacks. Covers Console, markup syntax, renderables (Panel/Table/Tree), Progress, Live, RichHandler, and the __rich_console__ protocol.
Gate 0 research phase for pre-dev workflow. Dispatches 4 parallel research agents to gather codebase patterns, external best practices, framework documentation, and UX/product research BEFORE creating PRD/TRD. Outputs research.md with file:line references and user research findings.
Build risk-adjusted return-optimized A-share portfolios for Chinese investors, with asset allocation based on capital size, risk appetite, and investment horizon. Use this skill when users ask about building portfolios, asset allocation, A-share portfolio optimization, position management, or rebalancing strategies, or request portfolio construction advice based on a specific amount and risk appetite.
A command guide for operating the ROCK platform with rockcli (rc): manage sandboxes, run and view agent evaluations, manage experiments, dump images, manage datasets, and more. Use when the user wants to look up rc command usage or use rockcli to start or stop sandboxes, run commands in sandboxes, transfer files, run agent evaluations, manage experiments, move images, or manage datasets.
Perform read-only troubleshooting on ROCK sandboxes with rockcli (rc): use logs, operation history, status, and replay to locate problems without modifying the sandbox. Use when a user's sandbox fails to start, is unresponsive, reports errors, or has an abnormal status and the cause needs to be diagnosed.
Use RocketSim to inspect visible UI and interact with iOS Simulator apps. Detects the installed RocketSim version, loads the matching bundled RocketSim CLI guidance, and helps agents read visible accessibility elements, navigate screens, tap, long-press, swipe, type text, press simulator hardware buttons, and automate simulator flows reliably. Use when: (1) the user mentions RocketSim, the rocketsim command, or RocketSim CLI, (2) interacting with an app in the iOS Simulator, (3) navigating or testing a simulator app with AI, (4) reading visible UI state or accessibility elements, (5) tapping, long-pressing, swiping, typing, or pressing simulator buttons, (6) using RocketSim instead of ad-hoc simulator automation.
Technical SEO auditor and fixer. Use when the user wants to: - Run a Lighthouse/PageSpeed audit on a website or local dev server - Analyze SEO, performance, accessibility, or best practices scores - Fix technical SEO issues in their codebase - Optimize meta tags, structured data, Core Web Vitals - Improve page speed, accessibility, or PWA compliance Triggers: "audit my site", "check SEO", "fix SEO", "lighthouse", "pagespeed", "improve performance", "meta tags", "structured data", "core web vitals"
Plans and builds a roughcut, sequence, or scene from a library. First walks the user through shaping a plan (concepts, beats, length, footage), then builds the timeline as YAML and exports XML for Final Cut, Premiere, or Resolve. Use when the user asks for a "roughcut", "sequence", or "scene".
Analyzes legacy RPG (Report Program Generator) programs from AS/400 and IBM i systems for migration to modern Java applications. Extracts business logic from RPG III/IV/ILE source code, identifies data structures (D-specs), file operations (F-specs), program dependencies (CALLB/CALLP), and converts RPG constructs to Java equivalents. Generates migration reports, complexity estimates, and Java implementation strategies with POJO classes, JPA entities, and service methods. Use when modernizing AS/400 or IBM i legacy systems, analyzing RPG source files (.rpg, .rpgle, .RPGLE), converting RPG to Java, mapping data specifications to Java classes, planning legacy system migration, or when user mentions RPG analysis, Report Program Generator, RPG III/IV/ILE, AS/400 modernization, IBM i migration, packed decimal conversion, or mainframe application rewrite.
Plan and run a high-signal team offsite/retreat and produce an Offsite Pack (offsite brief, agenda + run-of-show, prework, facilitation guide, logistics checklist, post-offsite decisions + action plan + comms). Use for offsite planning, team retreat, strategy offsite, planning offsite, quarterly burst, onsite. Category: Communication.
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.