Skills
101,323 packaged capabilities and playbooks for agents. Install any of them with one command.
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Alibaba Cloud STAROps Agent AIOps diagnostic skill. Use this skill to help users diagnose service errors, analyze root causes, query workspace/service topology, inspect APM metrics, and troubleshoot incidents through the STAROps Agent. Triggers: "排查根因", "根因分析", "服务报错", "服务异常", "APM 服务", "workspace 服务", "STAROps", "AIOps 诊断", "链路追踪", "告警分析".
Alibaba Cloud Tablestore (OTS) read-only operations skill. Use for querying Tablestore instances and data tables via Aliyun CLI. Triggers: "tablestore", "ots", "表格存储", "list instance", "describe instance", "list table", "describe table", "aliyun otsutil"
Apple's approach to interface design and fluid, physical motion, translated for the web. Use when building or reviewing gesture-driven UI, spring animations, drag/swipe/sheet interactions, momentum and interruptible transitions, translucent materials and depth, typography (optical sizing, tracking, leading), reduced-motion, or the design foundations (feedback, spatial consistency, restraint) behind Apple-style interfaces.
Use when reviewing Bagisto code changes or a pull request for correctness, convention compliance or quality, or when asked whether a change is ready to merge. Trigger phrases include "review", "code review", "PR review", "is this correct", "conventions", "violations", "code quality", "ready to merge".
Use when building or changing a Bagisto admin listing page — a DataGrid class with columns, search, filters, sorting, row actions, mass actions or export, and the controller and Blade view that render it. Trigger phrases include "datagrid", "admin listing", "add a column", "mass action", "prepareQueryBuilder", "listing page", "grid filter", "export grid".
Use when working on the Bagisto Appearance area — theme sections, the section editor and its storefront preview, draft and publish behaviour, section media, or the theme gallery. Trigger phrases include "section", "theme section", "appearance", "preview", "draft", "publish", "unsaved changes", "storefront layout", "theme gallery", "customize theme".
Manage Bithumb deposits: deposit address generation/lookup, deposit history (crypto and KRW), and KRW deposit requests. Requires API credentials. Do NOT use for deposit availability status (whether deposits are currently enabled) — use bithumb-account. 빗썸 입금 주소 조회·생성, 코인·원화 입금 내역 확인, 원화 입금 요청을 처리합니다. 입금 주소·입금 내역·원화 입금 관련 요청에 사용하세요. 입금 가능 여부 상태는 bithumb-account를 사용하세요.
Interactive tutorial that guides engineers through building their own coding agent (agentic loop) from scratch using raw HTTP calls to an LLM API. Supports Gemini, OpenAI (and compatible endpoints), and Anthropic. Supports TypeScript, Python, Go, and Ruby. Detects progress automatically. Use when someone says "build an agent", "teach me agents", or "/build-agent".
Automatically orchestrates BMAD implementation workflows, including the full Phase 4 epic/story pipeline and Quick Flow for small, well-understood changes. Use whenever the user wants to: (1) automate Phase 4 implementation (“auto implement,” “start implementation,” “begin phase 4,” “automatic working on phase 4,” “implement all stories,” “process the epics”); (2) check implementation progress or status (“what’s the status?”, “how many stories are done?”); (3) resume a previously interrupted session (“continue from where we left off,” “resume”); or (4) implement a small, self-contained change without full BMAD planning (“quick dev,” “quick flow,” “implement this change,” or a described bug fix, refactor, small feature, or patch). For a small change or a request for quick implementation, route to Quick Flow—`bmad-quick-dev` handles intent-to-code directly without a separate spec step. If a multi-story project is in flight (`sprint-status.yaml` exists) and the current request is a substantive epic/story task, route to Phase 4; if it is a small one-off, route to Quick Flow regardless. If unsure whether to use this skill, use it—it automatically detects the appropriate flow
Generates a Bill of Materials (BOM) from project descriptions for Arduino/ESP32/RP2040 projects. Use when the user needs component lists, parts shopping lists, cost estimates, or asks “what parts do I need”. Outputs formatted BOMs with part numbers, quantities, suppliers (DigiKey, Mouser, Amazon, AliExpress), and compatibility warnings. Run scripts/generate_bom.py for xlsx/csv export.
Load this skill when configuring or reviewing CI/CD pipelines, GitHub Actions workflows, or automated testing setups. Ensures accessibility regressions are caught before code reaches production by enforcing quality gates, structured reporting, and layered automated + manual testing across all pages and user preferences.
Write, modify, or debug Docker-based Composio CLI end-to-end tests under ts/e2e-tests/cli, including binary invocation, fixture isolation, output assertions, and package manifests. Use for CLI E2E test suites only; use cli-command for CLI source implementation.
All-in-one TikTok Shop selling-video skill for any AI agent (Claude Code, Codex, WorkBuddy, OpenClaw). Find viral TikTok videos, research TikTok Shop products, shops, creators and live rooms, break down why a video sells (script, scenes, hooks, music), search the largest library of real high-GMV AI selling videos and their reverse-engineered prompts and adapt the closest match to your own product, replicate a winning video, turn product photos — or your own raw prompt and images — into AI selling / UGC / talking-head / product-demo videos, generate e-commerce images from a text prompt, upscale to 1080p or 2K, and download TikTok or Douyin videos. Keywords — AI selling video, TikTok viral replication, TikTok Shop product research, competitor shop analysis, creator and influencer ranking, AI selling video prompt library, product-to-video, UGC video generator, AI product image, TikTok video downloader. Use whenever the user needs TikTok e-commerce data, viral video research, or AI video/image generation.
Rendering and perception layer for codebase-as-geohash-map visualisations — choosing what to encode on colour/size/position, picking perceptually honest colour scales (viridis/OKLCH, not rainbow), drawing tens of thousands of cells on Canvas2D + WebGL/deck.gl inside a 16ms frame budget, placing and decluttering labels, GPU or spatial-index picking, camera animation and level-of-detail crossfades, and keyboard plus screen-reader accessibility for the canvas. Sits on top of geohash-spatial-code-maps, which owns the geohash encoding, projection, tiling, and navigation math. Also covers nature-inspired rendering — Voronoi, circle packing, phyllotaxis, metaball hulls, edge bundling. Trigger even when the user does not say "visualisation" — if the work involves drawing, colouring, labelling, animating, or making navigable a code map, spatial heatmap, or large cell/point layer on the web, this is the skill.
Move code from one implementation to another function by function, tests first and code second, and check two implementations of one app for parity, with jscpd --compare as the progress measure and a coverage map binding each function to its tests. Use when porting a library or app to another language or framework (Java to Kotlin, JavaScript to Rust, a Python library to TypeScript, an iOS app to Android), when asked what is left to port, or when comparing the Android and iOS versions of an app.
Analyze a software codebase for algorithmic complexity and performance hotspots, then propose or implement safe optimizations without breaking behavior. Use when Codex is asked to scan many files, find inefficient loops, nested iteration, repeated scans, costly rendering/recomputation, N+1 queries, avoidable O(n^2) or O(n) operations, or reduce complexity such as O(n^2) to O(n log n) / O(n), while preserving tests, APIs, outputs, and maintainability.
When the user wants to turn content into revenue, build a content-led GTM motion, reverse engineer distribution, or repurpose content across platforms. Also use when the user mentions 'content marketing,' 'content-led growth,' 'content to pipeline,' 'distribution,' 'content repurposing,' 'content strategy,' 'thought leadership,' 'newsletter,' 'content flywheel,' 'organic growth.' This skill covers content-to-revenue systems from creation through pipeline attribution.
Place trusted contextual information into prompts or agent state using explicit boundaries, provenance, and templates. Use when relevant context has already been selected and must be inserted safely; use context-retrieval to find it or context-optimization to choose and order it.
Multi-perspective code review that synthesizes findings from multiple reviewers into a unified report. Use when the user asks to review code changes, audit a diff, check code quality, review a PR, review commits, or review uncommitted changes. Also covers 'code review', 'review my changes', 'check this before I merge', or wanting multiple perspectives on code. Do not use for documentation/markdown review or trivial single-line changes.
Design command-line interface parameters and UX: arguments, flags, subcommands, help text, output formats, error messages, exit codes, prompts, config/env precedence, and safe/dry-run behavior. Use when you're designing a CLI spec (before implementation) or refactoring an existing CLI's surface area for consistency, composability, and discoverability.
Helps engineering managers measure and improve team delivery — produces a history of why common metrics fail, the DORA four-key-metrics framework (deployment frequency, lead time, change failure rate, MTTR), DevEx's three dimensions (feedback loops, cognitive load, flow state), a translation layer from engineering metrics to business outcomes, and a list of measurement anti-patterns to avoid. Use when the user says "how do I measure productivity," "DORA metrics," "velocity," "cycle time," "developer experience," "DevEx," "how do I show our team is performing well," "metrics for engineering," "team is slow," "engineering performance," or "connect engineering to business." Do NOT use for managing an underperforming individual — use performance-reviews instead.
Running an in-bundle DOCA service as a container on a BlueField (Argus, DMS, Firefly, or UROM service): kubelet standalone watching a static-pod manifests directory, YAML pod-spec drop, kubelet status / ENTRYPOINT logs / per-service liveness. Trigger on “how do I run my built service on the BlueField?”, “where do I drop the pod-spec YAML?”, “pod stuck in Pending / ImagePullBackOff / CrashLoopBackOff”, “container Running but service isn't ready”, “pod restart-loops after edit”, or “DMS and Firefly together”, even without naming container deployment. A DOCA-linked binary launched directly on the host or Arm belongs to doca-bare-metal-deployment. Covers smoke-before-bulk and the layered error taxonomy (pod-spec, scheduling, image pull, runtime, mount, network, version, host). Refuse and route elsewhere for per-service config schemas, DOCA install, library-API questions, external NVIDIA services (BlueMan, HBN, SNAP, Virtio-net), or full Kubernetes-cluster ops
Set up and orchestrate multi-container Docker applications using docker-compose, including service configuration, networking, volumes, and environment management. Use when the user requests docker compose setup or provides relevant inputs for this workflow.
Work on Composio documentation content, Fumadocs configuration, changelogs, docs automation prompts, docs decisions, ADR-style records, and docs review guidance. Use for files under docs/, documentation workflows, or requests to record or update a docs decision. Do not use for SDK runtime changes unless docs are the main deliverable.
Estimates Fabric capacity cost before a migration by profiling Spark, SQL, Power BI, and Real-Time workloads, then recommending SKU size and comparing Reserved, Pay-As-You-Go, and Autoscale billing. Use only for capacity sizing and pricing questions, not for general migration or connectivity work.
Produce, direct, generate, QA, and integrate non-speech audio with ElevenLabs Text to Sound Effects / Sound Effects API. Use when an agent needs custom SFX, foley, ambience, loops, stingers, impacts, UI sounds, musical one-shots, trailer braams, or sound-design layers for video, ads, social edits, games, apps, podcasts, audiobooks, or interactive media using ElevenLabs.
Guides developers through Enonic CLI commands for sandbox management, project scaffolding, local development, app deployment, and CI/CD pipeline generation. Use when creating Enonic XP sandboxes, starting or stopping local instances, scaffolding projects from starters, running dev mode with hot-reload, deploying apps, or generating CI/CD workflows for Enonic apps. Don't use for writing XP application code (controllers, content types), querying via Guillotine or lib-content APIs, configuring non-Enonic environments, or Docker/Kubernetes deployment of XP.
Assertion-first AI eval framework aligned to Anthropic's 'Demystifying evals for AI agents' — typed deterministic asserts + a forced-structured LLM judge over an input→assert case schema, pass^k/pass@k, capability vs regression suites, subscription-billed. USE WHEN eval, evaluate, benchmark, regression test, assertion, assert, llm-rubric, judge, pass@k, pass^k, grade output, compare prompts/models, test agent. NOT FOR scientific-method framing (use Science), property/mutation testing of code (use Hardening), or live UI verification (use Interceptor).
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.