Skills
100,928 packaged capabilities and playbooks for agents. Install any of them with one command.
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Find an app's real competitors in one region on one or both platforms, add the chosen ones to tracking, and build a competitive audit — share of search across live store results, newly discovered competitors, category position, and 30-day rating velocity with a star breakdown. Emits a structured findings.json plus a self-contained HTML report. Trigger on "who are our competitors", "competitor analysis", "competitive audit", "who outranks us in this country", "compare us against a named rival", "add competitors to tracking".
Use this skill to wire the correct Gradle dependency matrix for Jetpack Compose UI tests. Covers `androidTestImplementation("androidx.compose.ui:ui-test-junit4")`, the `debugImplementation("androidx.compose.ui:ui-test-manifest")` requirement that makes `createComposeRule()` work, the host-test (Robolectric) trio, the accessibility add-ons (`ui-test-accessibility`, `ui-test-junit4-accessibility`), and the `TestManifestGradleConfiguration` lint warning. Use when the user reports `ActivityNotFoundException: ComponentActivity`, `createComposeRule unresolved`, `lint warning ui-test-manifest`, `Cannot find test rule`, or asks "what dependencies do I need for Compose UI tests" / "why won't my Compose test compile".
Turn one piece of long-form content (blog post, video/podcast transcript, guide, talk) into a ready-to-post multi-platform content pack: LinkedIn posts, X/Twitter thread, newsletter item, short-video scripts, carousel outlines, quote pulls, and more — each natively adapted, not copy-pasted. Use when the user says 'repurpose this post', 'turn this into social content', 'atomize this', 'get more mileage out of my content', 'make LinkedIn posts from my article', or shares long-form content wanting distribution. Produces an idea inventory plus a per-platform atomization pack with a suggested posting order.
This skill MUST be used for growth-oriented article, video, newsletter, and social content work, including content analysis, ideation, rewriting, packaging, production, repurposing, and repeatable editorial workflows. MUST trigger on natural-language requests such as 幫影片想標題、拆解成功內容、 規劃內容主題、把文章改成社群貼文、設計內容生產流程; users need not name the skill or explicitly say growth. SHOULD be used when the context calls for improving content reach, retention, engagement, or conversion. MUST NOT trigger solely because a request contains a URL, notes, or general proofreading without a content-growth purpose. Supports source-led and brief-led work.
Generate and validate commit messages following the Conventional Commits specification. Use when creating git commits, writing commit messages, reviewing commit history, generating changelogs, or when the user mentions commits, commit messages, semantic versioning, or changelog generation.
Use this skill ONLY AFTER a teaching site is feature-complete and stable, when the user wants to produce a printable / archivable / shareable version — typically a PDF ebook with cover, page numbers, table of contents, or a DOCX for editorial review. Triggers on phrases like "做電子書", "產 PDF", "ebook", "PDF ebook", "印給學員", "課程講義 PDF", "course handbook", "DOCX deliverable", "book-style layout", "build:ebook". Do NOT invoke during early site development — this is a downstream consumer that breaks if the site changes underneath. The skill produces PDF via Playwright `page.pdf()` and DOCX via pandoc, both from a single composed markdown source.
Cross-chain interoperability for Stellar. Entry point with a rail-selection decision table and shared pitfalls, routing to three companion files — cctp.md (Circle CCTP V2, native USDC burn-and-mint between Stellar and EVM/Solana chains, domain 27, the CctpForwarder requirement for Stellar recipients), axelar.md (Axelar GMP for Soroban contracts calling contracts on other chains, and the Interchain Token Service for multichain tokens), and layerzero.md (LayerZero V2 OApp messaging with configurable DVN security, OFT omnichain tokens, and USDT0 — native USDT on Stellar). Also covers NEAR Intents (intent-based cross-chain swaps into XLM or Stellar USDC) at the routing level. Use when bridging USDC or USDT to or from Stellar, sending messages between a Stellar contract and another blockchain, making a token exist on multiple chains, or adding cross-chain swaps to an app.
Fetch, rank, and enrich recent arXiv and Hugging Face papers. English triggers: “fetch papers”, “fetch papers from the last three days”. This is pipeline stage 1. Paper fetching (step 1 of a 3-step pipeline). Fetch the latest arXiv + HuggingFace papers, score and filter them, enrich their information, and output daily_papers_enriched.json to a shared temporary directory for subsequent skills. Triggers: “论文抓取”, “跑一下论文抓取”. Supports multi-day mode: “过去3天论文推荐”, “过去一周论文推荐”, “过去一周的论文”, “抓 3 天的论文”, “最近5天”
Execute database migrations across ORMs and platforms with zero-downtime strategies, data transformation, and rollback procedures. Use when migrating databases, changing schemas, performing data transformations, or implementing zero-downtime deployment strategies.
When the user needs bulk SERP data, local pack data at scale, keyword volumes for hundreds of terms at once, Google Maps business data programmatically, or is building custom local SEO tools/dashboards. Trigger on "bulk keyword data," "SERP data at scale," "DataForSEO," "Google Maps API data," "business data API," or when any other keyword/SERP tool would be too slow for the volume needed.
Audit index coverage for the query workload — composite index column order (ESR), covering and partial indexes, specialized types (GIN/GiST/BRIN, FTS, geo, JSONB-GIN), and foreign keys with no covering index. Module M11. Feeds the Performance & Scale score.
Account charter · creative DNA (Doubaoya) — one IP profile handles two things: ① **positioning consultation** helps you think through three layers of positioning (what to write / who to write for / how to make money) and produces a structured "account charter" that later topic selection, writing, and reviews all follow (three entry points: L0 three questions in 5 minutes, L1 full fifteen-question consultation, reverse inference from an existing account); ② **style distillation** distills a "creative DNA" (persona / niche / personal product / writing style) from your sample pieces, which is then read throughout writing articles for this account so the AI writes more like you. Both consultation and distillation run on your own agent with your own model; doubaoya only provides storage and read/write interfaces, does not call an LLM, and is free with no credit deduction. Triggers: positioning, account positioning, monetization path, account charter, figuring out what account to run, positioning coach, what account should I run, how to monetize, IP profile, WeChat official account persona, writing style DNA, style distillation, re-distillation, write like me, imitate my writing style, my writing style, update persona, personal product, sales script, IP avatar.
Use when drawing or auditing model boundaries — phrases like "bounded context", "where do we draw the line between X and Y", "this model is getting muddled", "should this be one service or two", "the same word means different things in different places". Defines what a bounded context is, what it isn't, and the signals that say a boundary should exist. Pairs with ddd-context-mapping for the relationships across boundaries.
Use when the user wants to transform existing code toward DDD — phrases like "refactor this to use aggregates", "extract a value object from this primitive", "split this god aggregate", "make this domain model less anemic", "introduce a bounded context boundary here". Sequences refactor steps and points at the pattern skill that explains the target shape. Do NOT use for code review (route to ddd-review) or initial design (route to ddd-design).
Use when a Hetzner node is unreachable, SSH fails, cloud-init seems broken, or provisioning hangs. Boots into rescue mode via hcloud CLI to inspect filesystem, logs, SSH keys, sshd config, and cloud-init state without needing SSH access to the node itself.
Debugging workflows for Python (pdb, debugpy), Go (delve), Rust (lldb), and Node.js, including container debugging (kubectl debug, ephemeral containers) and production-safe debugging techniques with distributed tracing and correlation IDs. Use when setting breakpoints, debugging containers/pods, remote debugging, or production debugging.
Stress-test an existing implementation plan and selectively strengthen weak sections with targeted research. Use when a plan needs more confidence around decisions, sequencing, system-wide impact, risks, or verification. Best for Standard or Deep plans, or high-risk topics such as auth, payments, migrations, external APIs, and security. For structural or clarity improvements, prefer document-review instead.
Extract clean markdown content from web pages using Defuddle CLI, removing clutter and navigation to save tokens. Use instead of WebFetch when the user provides a URL to read or analyze, for online documentation, articles, blog posts, or any standard web page. Do NOT use for URLs ending in .md — those are already markdown, use WebFetch directly.
Assesses an open Dependabot pull request and emits a recommendation (Merge / Review before merging / Do not merge) plus confidence (High / Medium / Low) with concise prose grounded in upstream source changes. Advisory only: it posts a single comment and never merges, approves, or labels. Designed to run as a scheduled reconciler that comments exactly once per PR state and re-comments only when the PR head commit changes.
Create, repair, and calibrate ToDiagram custom-format diagrams (.todiagram) for end users, including system architecture maps, process/flow diagrams, schema normalization, and readability-driven grouping/splitting. Use when users ask for ToDiagram JSON generation, invalid payload fixes, architecture/flow modeling, simplification/detail tuning of existing diagrams, or stable file-based diagram output.
Provides comprehensive guidance for Django framework including models, views, templates, forms, admin, REST framework, and deployment. Use when the user asks about Django, needs to create web applications, implement models and views, or build Django REST APIs.
Migrate an existing Django API from Django REST Framework to django-modern-rest while preserving routes, request/response contracts, auth, permissions, throttling, pagination, and test coverage. Use when replacing APIView/ViewSet/GenericAPIView and DRF serializers/routers with dmr controllers/routers and typed DTOs.
Takes the path to a fix task file in review/review-[N]/fixes/ (e.g. review/review-1/fixes/fix-R-01-critico-senha.md), implements the fix, runs the test suite, and updates the file status. Use when do-execute-review generated fix task files and the user wants to resolve a specific issue. Do not use for batch fixes—invoke once per file. Do not use for QA, fixing QA bugs (use do-execute-qa-fix), or implementing new features.
Define and maintain the codebase's shared domain terms and architectural decisions. Use when a domain term is unclear or disputed, when a lasting architectural decision is made or stops holding, when the user asks to update or clean up the glossary or decision records, or when another skill runs it.
Use when authoring or modifying a Datex Studio embed (configurationTypeId=20, *-embed.json suffix, CLI type `embed`) on a branch — an iframe-hosting component that renders an external URL or an in-memory HTML string in a dialog or inline panel. Owns the iframe-only rule (no srcdoc, no inline-HTML type), the `data:text/html` URI pattern for rendering an HTML string, the `$shell.open<name>Dialog` wiring (package-scoped when the embed lives in a module), and the in-iframe `window.print()` print pattern. Triggers: "create an embed", "render HTML in a dialog", "preview/print HTML", "embed a map/iframe", "show an external page in a dialog", "$embed iframe is blank", "print button does nothing in the preview".
Optimizing vector embeddings for RAG systems through model selection, chunking strategies, caching, and performance tuning. Use when building semantic search, RAG pipelines, or document retrieval systems that require cost-effective, high-quality embeddings.
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.