Skills
101,174 packaged capabilities and playbooks for agents. Install any of them with one command.
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Toolkit for creating and validating skills and subagents. Use when: creating a new skill (fast or full mode), validating an existing skill, deciding Skills vs Subagents, migrating docs to skills, estimating token cost, or running a security scan. Triggers: "create skill", "build skill", "validate skill", "new subagent", "skills vs subagents", "estimate tokens", "security scan".
Toolkit for creating animated GIFs optimized for Slack, with validators for size constraints and composable animation primitives. This skill applies when users request animated GIFs or emoji animations for Slack from descriptions like "make me a GIF for Slack of X doing Y".
Diagnoses GitHub Actions failures and attributes CI time and cost using StarSling's `sling` CLI. Invoke this before using `gh` or fetching logs whenever the user asks why a job or run failed, what made a run slow, about runner minutes or CI cost, asks to rerun or cancel a run, or pastes a GitHub Actions URL. `sling` returns server-classified failure causes and cost attribution that log-grepping misses; state changes are routed to `gh`. Not for repository-wide audits of workflow files (ci-score, ci-speedup, ci-secure), writing workflow YAML, or non-GitHub Actions CI.
Objectively evaluate a UI/web design against the pols.dev anti-slop design law: detect catalogued slop tells with cited evidence, score 8 weighted axes (color, type, components, layout, motion, execution, signature, cohesion), and emit a Slop Report with a 0–100 Slop Index and grade. Use when the user asks to "evaluate design slop", "slop report", "is this design AI slop", "audit this landing page design", "de-slop review", or wants an objective score of how generic/machine-made a design looks. To fix text (not design), use human-ai or humanizar skills instead.
Load this skill whenever the project must support speech input or voice control — dictation, "click by voice" grammars, Dragon NaturallySpeaking, Voice Control (iOS/macOS), Voice Access (Android), or any interface where users activate controls by speaking. Under no circumstances let an aria-label override a visible label without keeping the visible text intact and in order. Absolutely always ensure the accessible name contains the visible label, and load alongside keyboard/SKILL.md since speech tools commonly emulate keyboard and pointer input.
Build, repair, or continue a complete storyboard workflow from script to clean-board guidance. Use when the user wants story-first boarding grounded in FloobyNooby-style planning, clarity, staging, shot progression, motivated cuts, continuity, rough thumbnails, animatic review, structural revision, key panels, full rough board, and clean-pass rules rather than an analysis-heavy shot list.
Continuously improve Remotion Studio by making a video, reproducing real UX and performance issues, fixing them, and verifying the result. Use for ongoing Studio dogfooding and maintenance, including checkpoints that hand one PR over for review while work continues in a stacked PR.
Use this skill for Blazor apps needing Excel-like UI using the Syncfusion Spreadsheet Component. Trigger for creating, viewing, editing Excel (.xlsx, .xls) files; embedding spreadsheet editors; using formulas, filtering, sorting, or cell formatting. Also trigger when users reference spreadsheet files ("open xlsx", "load Excel file", "add Syncfusion spreadsheet"). Do NOT trigger for standalone file processing without UI components.
Systematic interpretation addresses disputes over meaning or scope of application that arise after literal interpretation of a legal norm: based on the norm's position in the legal system (e.g. which law, part, chapter or section), the meaning of related legal norms, or the implied meaning of law as a system, it produces the most systematic interpretation, thereby clarifying the norm's meaning and scope of application from a systematic perspective. Trigger conditions (any one suffices to invoke):
Manage technical projects from initiation through delivery and closure: choose and tailor predictive, iterative, Scrum, flow-based, or hybrid approaches; coordinate teams and vendors; track milestones, risks, issues, dependencies, forecasts, scope changes, and recovery. Use when a team has no project manager, a TPM needs decision-ready analysis, a project is slipping, or commitments and handoffs need coordination. Use `technical-program-management` instead when multiple related projects, teams, vendors, shared capacity, or benefits must be coordinated toward one outcome. Adapt depth to the user's expertise. Do not use for a standalone coding task, product discovery or strategy, only writing an implementation plan, only diagnosing Kanban flow, operating a ticket tool, incident command, or a release go/no-go decision; route those to specialists.
Build and maintain technology radars for adoption, trial, assessment, and hold decisions, and choose proportionate architecture-governance paths for technology portfolios. Use when governing technology choices, build-versus-buy decisions, architecture standards, exceptions, or engineering portfolio risk. Do not use for enterprise capability or target-state architecture, writing ADRs, implementing systems, security engineering, or operational incident/runbook work.
Transform passive "Verify X" test descriptions into active, observable test actions. Use when test ideas lack specificity, use vague language, or fail quality validation. Converts to action-verb format for clearer, more testable descriptions.
Analyzes a repository and any existing test suite, grades existing tests for weakness, classifies mocks, emits a phased roadmap for building a test suite that catches real regressions, then executes those phases one at a time. Use when planning or building a test suite, assessing whether existing tests are worth anything, adding tests to a legacy codebase, or when the user mentions test coverage, test strategy, or weak tests. Not for reviewing a branch for bugs, and not for fixing the bugs it logs.
High-volume, asynchronous offline inference at up to 50% lower cost via Together AI's Batch API. Prepare JSONL inputs, upload files, create jobs, poll status, and download outputs. Reach for it whenever the user needs non-interactive bulk inference rather than real-time chat or evaluation jobs.
Create and deploy a TON agentic wallet. Use when the user wants to create a wallet, set up an agent wallet, deploy an agentic wallet, onboard a new wallet, or when any wallet operation fails because no wallet is configured. This skill is a prerequisite before sending, swapping, or managing assets.
Work with the Toss Securities Open API for Korean and US stock market data, stock info, exchange rates, market calendars, account and holdings lookups, order history, buying power, sellable quantity, commissions, conditional orders, rankings, trading trends, market indicators, realtime WebSocket integration, and delegated trading workflows. Use when an agent needs to run user-delegated buy/sell/order-management loops, call or build against developers.tossinvest.com, inspect the Toss OpenAPI schema, generate client code, or operate with TOSS_API_KEY/TOSS_SECRET_KEY credentials.
Use when the user needs to analyze stocks, obtain trading signals, or make quantitative investment decisions with a multi-agent trading framework. Based on the TradingAgents project, it provides professional fundamental analysis, sentiment analysis, technical analysis, and risk management.
Connect third-party AI agents (OpenAI, Bedrock, LangChain, Microsoft Foundry) to Twilio's communication channels using the Twilio Agent Connect SDK. Covers identity resolution, memory and context management via Conversation Memory, conversation orchestration via Conversation Orchestrator, multi-channel handling (Voice, SMS, RCS, WhatsApp, Chat), and AI-to-human escalation. Use this skill when integrating an existing LLM agent with Twilio services.
Apply these opinionated TypeScript conventions whenever writing or reviewing TypeScript: branded types for domain modeling, discriminated unions for state, `satisfies` over `as`, const objects instead of enums, type-only imports, and the strict tsconfig baseline beyond `strict: true`. Also use for monorepo project references and incremental build setup.
Unity Editor tooling, build automation, and asset pipeline customization. PROACTIVELY activate for: (1) writing custom Editor scripts, (2) custom inspectors and PropertyDrawer attributes, (3) EditorWindow creation, (4) ScriptedImporter for custom asset types, (5) build pipeline scripting (BuildPipeline.BuildPlayer, IBuildPostprocessor), (6) platform-switching automation, (7) CI/CD for Unity (GameCI, GitHub Actions, Unity Build Automation), (8) Assembly Definition (.asmdef) organization, (9) preprocessor symbols and platform defines, (10) Editor-only code with #if UNITY_EDITOR. Provides: custom inspector templates, EditorWindow examples, build script patterns, GameCI setup, .asmdef best practices, and CI YAML for Unity builds.
Strip AI-slop patterns from reasoning traces (chain-of-thought, extended thinking, agent decomposition) — not final prose. Reasoning text has its own slop catalog that regular unslop doesn't target: over-explaining the question, over-hedging, over-decomposing trivial problems into 6-bullet substeps, infinite-loop rationalization. Trigger: /unslop-reasoning, "clean up my reasoning", "fix this chain of thought", "this CoT sounds robotic". Applies to reasoning output; does not override regular /unslop mode.
Traces user task flows with Playwright: click depth, step success, friction: and writes reports to .heyeddi/docs/ux-flows/. Use when measuring ease of use, clicks to complete a task, or onboarding friction. Not for static visual critique (use heyeddi-design critique) or layout screenshots (use visual-auditor).
UX measurement: HEART framework, SUS, UEQ, SUPR-Q, task success and time-on-task metrics, A/B testing statistics, AI-specific metrics, and design system ROI. Use when defining UX KPIs, building a measurement plan, interpreting a usability score, or proving UX impact.
Vercel AI SDK for building chat interfaces with streaming. Use when implementing useChat hook, handling tool calls, streaming responses, or building chat UI. Triggers on useChat, @ai-sdk/react, UIMessage, ChatStatus, streamText, toUIMessageStreamResponse, addToolOutput, onToolCall, sendMessage.
Verl single-async DAPO training config generator. Trigger scenarios: (1) starting single-async DAPO training (2) generating training scripts (3) configuring feature parameters (4) pre-training checks. **Feature policy**: when the user does not specify, performance features (flash_attn/dynamic_batch/remove_padding/gradient_checkpointing) are enabled by default, while memory features (offload/recompute) are disabled by default. On OOM, memory features are automatically appended and retried. **Training monitoring**: after startup, output the SwanLab link for the user to check themselves, and notify the user only on errors. **Dependent skill**: SwanLab configuration is provided through the swanlab-setup skill.
One-click launch and configuration of Verl distributed training services. Trigger scenarios: (1) the user wants to start a Verl training job or deploy an RLHF/DAPO training environment (2) launching Verl training containers on an NPU cluster (3) configuring the Ray cluster and SwanLab monitoring (4) flexibly configuring acceleration features according to a 7-bit binary mask. Supports the full DAPO training workflow for Megatron models such as Qwen3-8B.
When the user wants to analyze a YouTube video's performance, review retention data, diagnose low CTR, or understand why a video underperformed or overperformed. Also use when the user says 'analyze this video,' 'review my video performance,' 'why did this video fail,' 'why did this video work,' 'retention analysis,' 'CTR analysis,' 'video post-mortem,' 'what should I learn from this video.' For full channel health check, see channel-audit. For improving future ideas based on learnings, see idea-generation.
Generate clean, playful low-density isometric voxel icon illustrations and explicitly requested four-frame physically credible loops built from large opaque face-lit acrylic blocks on an exact #F4F4F4 background. Preserve the subject's native palette by default, with optional explicitly selected Oreo preset-directed modes. Use for voxel art, macro-voxel 3D icons, isometric block-built objects, animated voxel icon loops or GIFs, blocky editorial symbols, emoji-to-voxel objects, or a visually consistent series. Prefer this skill for isolated objects rather than dense cube grids, Minecraft scenes, smooth low-poly renders, glossy edge-lit toys, transparent glass objects, or 2D pixel art.
Comprehensive Vue 3 frontend development skill. Use when developing Vue 3 applications, components, or composables. Covers: (1) Creating new Vue 3 projects and components, (2) Vue 2 to Vue 3 migration, (3) Code review and optimization, (4) Composition API implementation, (5) Best practices and common patterns, (6) TypeScript integration, (7) State management with Pinia, (8) Performance optimization. Includes component templates, composable examples, migration guides, and best practices documentation.
Implement web search capabilities using the z-ai-web-dev-sdk. Use this skill when the user needs to search the web, retrieve current information, find relevant content, or build applications with real-time web search functionality. Returns structured search results with URLs, snippets, and metadata.
Bypasses anti-bot protections using Oxylabs Web Unblocker, an AI-powered proxy that handles fingerprinting, JavaScript rendering, and retries automatically. Use when the user needs to scrape protected websites, bypass CAPTCHAs, access blocked content, or when regular proxies fail due to anti-bot measures.
Build, refactor, audit, and validate dense web application UI. Use this skill whenever the user asks for SaaS dashboards, admin panels, CRM screens, internal tools, tables, filters, settings flows, data-heavy workflows, empty/loading/error states, responsive app screens, accessibility fixes, or product UI implementation where hierarchy, state coverage, keyboard behavior, and visual verification matter. Do not use for landing pages unless the task is actually an app surface.
Extract metadata and content from WeChat Official Account articles. Use when user needs to parse WeChat article URLs (mp.weixin.qq.com), extract article info (title, author, content, publish time, cover image), or convert WeChat articles to structured data. Supports various article types including posts, videos, images, voice messages, and reposts.
Operate Woodpecker CI from installation through production troubleshooting: configure servers and agents, connect Forgejo/Gitea or another forge, write and validate pipelines, manage secrets and plugins, use Docker or Kubernetes backends, run the CLI, and diagnose failed builds. Use when setting up, administering, or debugging Woodpecker CI. Do not use this skill for unrelated requests; route to the nearest named specialist.
A comprehensive suite of protocols, meta-prompts, and orchestration tools designed to streamline software development workflows, project management, and team collaboration. Includes the VibeCode Protocol Suite with web interface, user manuals, and reusable templates for efficient development processes
Process YouTube videos into summarized Obsidian notes. Use when given a YouTube URL to summarize, extract insights, or turn videos into notes. Triggers on "summarize this video", "process this YouTube", "what's this video about", or any YouTube URL shared for processing.
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.