Skills
101,174 packaged capabilities and playbooks for agents. Install any of them with one command.
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Transform learning content (like YouTube transcripts, articles, tutorials) into actionable implementation plans using the Ship-Learn-Next framework. Use when user wants to turn advice, lessons, or educational content into concrete action steps, reps, or a learning quest.
Apply when writing or reviewing a spec, requirements, acceptance criteria, user stories, or tickets before any code exists, and when deriving acceptance tests from a spec you cannot change (fixed-spec mode). Two passes: an edge probe over a closed taxonomy of data-shape boundaries, and a prohibition probe for what the feature must never silently become. Every raised item is resolved, dismissed with a reason, or carried as an explicit gap.
Use this skill whenever the user wants to transcribe audio to text, convert speech to text, or get a transcript from an audio or video file. Triggers include: any mention of 'transcribe', 'transcription', 'speech to text', 'STT', 'convert audio to text', 'what does this audio say', 'get transcript', 'subtitle generation', or requests to extract spoken words from a file. Also use when the user wants speaker identification from audio, timestamps for captions, or multilingual transcription.
Produce a mock-audit storyboard: a single HTML page embedding related UX surfaces side by side, with per-mock audit checklists, a flow diagram, and gap cards for missing mocks. Use when reviewing several mocks together would materially reduce context switching or expose cross-surface gaps, or when the user asks to see or audit a whole flow in one place.
Design method engine that teaches agents design judgment, not just data. One entry-point skill routes to internal workflows for setup, build, review, scoring, rendered verification, tokens, motion, accessibility, copy and updates. Compiles project-specific rules from a design lock (STYLESEED.md), with brand skins and structural recipes, and a score-then-fix quality gate. Works with Claude Code, Codex and Cursor.
Спроектировать и проверить видимую обратную связь для уже выбранного перехода состояния: принято ли действие, продолжается ли операция, окончателен ли результат и что сохранилось при сбое. Использовать для невидимых, отложенных, оптимистичных и фоновых действий, async-данных и интерфейсов, где человек может разумно сомневаться в состоянии системы. Не использовать для мгновенного самоочевидного результата, выбора самого поведения, поиска всех корнеров или визуальной полировки.
Guide for Vercel AI SDK v6 implementation patterns including generateText, streamText, ToolLoopAgent, structured output with Output helpers, useChat hook, tool calling, embeddings, middleware, and MCP integration. Use when implementing AI chat interfaces, streaming responses, agentic applications, tool/function calling, text embeddings, workflow patterns, or working with convertToModelMessages and toUIMessageStreamResponse. Activates for AI SDK integration, useChat hook usage, message streaming, agent development, or tool calling tasks.
Expert guidance for Active Storage with activerecord-tenanted. Use when blobs 404 after save, Lexxy/Trix uploads, direct uploads, tenant-signed blob IDs, rails/active_storage redirects, or "Cannot generate a Blob key without a tenant". Requires the activerecord-tenanted skill. Not for single-database Active Storage.
Give your AI agent eyes to see the entire internet. 17 platforms via CLI, MCP, curl, and Python scripts. Zero config for 8 channels. Route by intent: search / social (小红书/抖音/微博/推特/B站/V2EX/Reddit) / career (LinkedIn) / dev (GitHub) / web (网页/文章/公众号/RSS) / video (YouTube/B站/播客). Use when user asks to search, read, or interact on any supported platform, shares a URL from a supported site, or asks to search the web. Triggers: "search twitter", "youtube transcript", "search reddit", "read this link", "bilibili", "web search", "research this", "search weibo", "wechat article", "xiaohongshu", "douyin", "podcast transcript", "V2EX", "RSS feed", "xueqiu", "stock".
Alibaba Cloud MaxCompute Cost Analysis Skill. Analyze MaxCompute pay-as-you-go costs including billing, storage metrics, and compute metrics. Triggers: "maxcompute cost", "odps cost", "maxcompute billing", "maxcompute费用", "成本分析", "费用分析", "存储用量", "计算用量", "费用突增", "SQL签名", "SQL signature", "重复SQL", "扫描量最大", "daily billing details", "每日账单明细", "按计费项", "billing by fee item".
Expert knowledge for Azure Database for MySQL development, including troubleshooting, best practices, decision-making, architecture and design patterns, limits and quotas, security, configuration, integrations and coding patterns, and deployment. Use when using MySQL Flexible Server HA/replicas, backups/geo-restore, AKS connectivity, Entra auth, or migration tools, and for other Azure Database for MySQL-related development tasks. Not for Azure Database for PostgreSQL (use azure-database-postgresql), Azure SQL Database (use azure-sql-database), Azure SQL Managed Instance (use azure-sql-managed-instance), or SQL Server on Azure Virtual Machines (use azure-sql-virtual-machines).
Expert knowledge for Azure Virtual Machines development, including troubleshooting, best practices, decision-making, architecture and design patterns, limits and quotas, security, configuration, integrations and coding patterns, and deployment. Use when choosing VM sizes/GPUs, configuring disks/networking, using CLI/PowerShell/REST, or securing with Key Vault, and for other Azure Virtual Machines-related development tasks. Not for SQL Server on Azure Virtual Machines (use azure-sql-virtual-machines), Azure Virtual Machine Scale Sets (use azure-vm-scalesets), Azure Baremetal Infrastructure (use azure-baremetal-infrastructure), or Azure Stack Edge (use azure-stack-edge).
Tracks betting line movements across sportsbooks for NBA, MLB, and Soccer in real time, comparing odds from multiple bookmakers with sharp money detection and live game correlation. Triggers: betting odds, line movement, odds tracker, sports betting, spread changes, moneyline, over under, odds comparison, sharp money, live odds, point spread, value bets
BingX Agent (affiliate/broker) management — query invited users, daily commission details, agent user information, API transaction commission, and partner information. Use when the user asks about BingX agent invited users, affiliate commissions, referral relationships, partner data, or broker commission reports.
Product-management decision skills for solo founders and startup PMs: problem clarity, outcome definition, assumption mapping, prioritization, experiment design, PRD critique, launch readiness, and post-launch learning. Focused on deciding what is worth building rather than writing documents faster.
Professional code security audit skill covering 55+ vulnerability types. Enhanced with WooYun 88,636 real-world vulnerability cases (2010-2016). This skill should be used when performing security audits, vulnerability scanning, penetration testing preparation, or code review for security issues. Supports 9 languages: Java, Python, Go, PHP, JavaScript/Node.js, C/C++, .NET/C#, Ruby, Rust. Includes 143 mandatory detection items across all languages with language-specific checklists. Covers SQL injection, XSS, RCE, deserialization, SSRF, JNDI injection, JDBC protocol injection, authentication bypass, business logic flaws, race conditions, and modern security domains (LLM, Serverless, Android). WooYun integration adds: statistical-driven parameter priority, bypass techniques library, logic vulnerability patterns, and real-case references. v1.0: Initial public release with Docker deployment verification framework.
Enforces a deterministic build_runner codegen discipline: run one pinned `dart run build_runner build --delete-conflicting-outputs` pass BEFORE `flutter analyze` (never after), fence every builder with `generate_for:` globs in a per-package `build.yaml`, make one deliberate commit-vs-gitignore decision for `*.g.dart`/`*.freezed.dart`/`*.drift.dart` and back it with the matching CI gate (freshness diff if committed, codegen-first if gitignored), mirror the generated-file globs into the analyzer AND coverage excludes, pin the SDK, and never hand-edit generated output. Use when editing build.yaml, analysis_options.yaml, pubspec.yaml, .gitignore, .gitattributes, or CI workflows; wiring drift_dev/freezed/json_serializable/riverpod_generator/ gen-l10n/mockito codegen; fixing "missing part file", "undefined class _$Foo", or "conflicting outputs" errors; deciding whether to commit generated code; or scoping builders so one edit does not regenerate everything.
Connect any tool (Notion, Stripe, ClickFunnels...) to every agent by installing its official CLI, or writing a one-file Python CLI over its API, then a global skill. Use for "connect-tool notion", "connect X", "make a CLI for X", "use my X API key"
Plan and write blog posts that cover missing AI search prompts from live MCP data. Use when the user wants content for ChatGPT gaps, citation listicles, competitor sources, or a content campaign from AI SEO Tracker. Trigger on "write posts for missing prompts", "content coverage", "what should we publish", or fetch https://aiseotracker.com/content-coverage/SKILL.md.
Distill an ex-partner into an AI Skill. Import WeChat history, photos, social media posts, generate Relationship Memory + Persona, with continuous evolution. | Distill your ex into an AI Skill, import WeChat chat history, photos, and Moments, generate Relationship Memory + Persona, and support continuous evolution.
Generate a criterion-referenced rubric with descriptive performance levels for a task or objective. Use for marking guides and general curriculum contexts. For Manning programmes where Competent = success, use coherent-rubric-logic-builder instead.
Build and deploy a Coralogix dashboard for a given service from its logs, spans, metrics, and service specs. Discovers telemetry via cx CLI commands, emits importable Coralogix JSON, verifies every PromQL and DataPrime query live through the `cx` CLI, and creates the dashboard via `cx dashboards create`. Use whenever the user asks to create, build, generate, or deploy a Coralogix dashboard, monitoring dashboard, or observability dashboard for a service, app, or pipeline.
Diagnose PostHog Surveys configuration and responses across all five SDKs (web/posthog-js, iOS, Android, Flutter, React Native). Use whenever a Surveys support ticket is pasted ("survey not showing", "fewer responses than expected", "responses disappeared", "responses are incomplete", "only the first question was answered", "the user says they didn't mean to submit", "survey shows on wrong platform"), or when diagnosing why a survey does or doesn't display. Covers the eligibility pipeline, how a response actually gets stored (partial responses, branching, optional questions, auto-submit), cross-SDK feature parity, the known-cause catalog, read-only diagnostic queries, staff access, and the customer-reply style guide.
How to explore and make sense of PostHog Signals scouts — the scheduled agents that scan a project and write reports into the Signals inbox. Use when a user wants to understand what scouts they have, how each one is behaving, and whether the fleet is actually working. Covers surveying the fleet and its schedules, reading recent scout runs and drilling into a single run's reasoning, inspecting the durable scratchpad memory the fleet has built up, tracing a run to the reports it wrote or edited, reading the follow-up checks still measuring a report, and assessing a scout's health and performance over time (cadence, success rate, report rate, signal-to-noise). Read-only and exploratory — to write or tune a scout, use `authoring-scouts` instead. Trigger on "what are my scouts doing", "how is my <x> scout performing", "show me recent scout runs", "why did this scout find/report nothing", "what has the fleet learned", "explore scout run <id>", "is my scout working".
Draft, edit, review, and refine all human-facing writing, from short-form copy to connected prose. Use whenever readers must follow ideas, context, reasoning, narrative, or tone. Apply across technical surfaces such as package and repository descriptions, README and technical document content or information architecture, CLI wording, JSDoc and docstrings, explanatory source comments, runtime messages, test titles, labels, and issue, pull request, and discussion copy. Don’t use for LICENSE text, formatting-only work, or tasks that neither evaluate nor change wording or information architecture. Agent responses alone aren’t a trigger.
Expert guidance for the Identity vs User split and tenant memberships in Rails. Use when adding users, workspaces, accounts, memberships, roles, join codes, invites, Current.identity, Current.user, or connecting magic-link auth to a tenant. Complements magic-link-auth and activerecord-tenanted. Not Nebula workspace members.
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.