Skills
99,719 packaged capabilities and playbooks for agents. Install any of them with one command.
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Concurrency debugging skill for diagnosing data races and deadlocks. Use when reading TSan race reports, debugging deadlocks with GDB thread inspection, analyzing lock-order graphs with Helgrind, identifying std::atomic misuse patterns, or reasoning about happens-before in C++ and Rust. Activates on queries about data races, TSan reports, deadlocks, Helgrind, lock ordering, thread sanitizer output, or atomic ordering issues.
Tools for creating, querying, editing and managing Feishu Bitable (multidimensional table). Supports 27 field types, advanced filtering, batch operations and view management. **Use this skill when**: (1) you need to create or manage a Feishu Bitable app; (2) you need to add, query, update or delete records (rows) in a Bitable; (3) you need to manage fields (columns), views or data tables; (4) the user mentions "多维表格", "bitable", "data table", "record" or "field"; (5) you need to import data in bulk or batch-update a Bitable
Makes every report a Mobbin skill writes read like a person wrote it, in plain interface terms. Use only when a Mobbin skill writes prose for the user or asks for this skill by name; not for writing outside Mobbin skills. Removes the tells of AI-generated writing (em dashes, puffery, design buzzwords, rule-of-three, sign-offs) without changing a fact or adding one
Build applications where agents are first-class citizens. Use this skill when designing autonomous agents, creating MCP tools, implementing self-modifying systems, or building apps where features are outcomes achieved by agents operating in a loop.
Design and build an official Apify integration for a company's product - workflow-automation apps (Zapier/n8n-style), AI agent plugins (coding-agent skills+MCP bundles or OpenClaw/Hermes-style harnesses), AI framework packages (LangChain/LlamaIndex-style), or direct application clients via apify-client. Use when planning, creating, or reviewing an integration that exposes Apify Actors, runs, datasets, or key-value stores inside another product.
Define reusable Airflow task group templates with Pydantic validation and compose DAGs from YAML. Use when creating blueprint templates, composing DAGs from YAML, declaring shared variables or per-environment profiles, validating configurations, sharing templates as an installable package, or enabling no-code DAG authoring for non-engineers.
Reconstructs why code exists from local git history, including the introducing commit, later changes, current authors, repeated companion files, and likely intent. Use when the user asks "why does this code exist", "who wrote this function and why", or to "explain the history of this function" before a rewrite, refactor, or risky edit. Runs entirely locally.
Precision Financial Insights - Analyze stocks, companies, and market sentiment using authoritative data. Powered by Yahoo Finance and enhanced with intelligent news synthesis by we-crafted.com/agents/financial-market-analysis - Buy CRAFTED_API_KEY in our website to start using
Guides users through documenting business flows step-by-step in EventCatalog, including services, agents, messages, channels, systems, data stores, actors, and external systems. Use when user asks to “document a flow”, “map a business process”, “create a flow diagram”, “walk through a process”, “document an end-to-end flow”, “map an agent workflow”, or “map out how something works in my architecture”.
Generate targeted test scenarios for a LiveKit voice or chat agent and run them as simulations — locally, from the agent's own code plus what the user wants stress-tested. Use whenever the user wants to "test my agent", "what should I test", "create/generate simulation scenarios", "make a sim test suite", "use lk agent simulate", "stress-test the X flow", "set up scenarios for my agent", or wants to probe edge cases / refusals / regressions before shipping. Generates scenarios on the user's machine (their code is never uploaded) and lets the user deeply steer what gets tested. Trigger even without the word "simulation" when the user clearly wants to decide what to test and verify how their agent behaves across realistic conversations. Not for building a new agent from scratch (use the livekit-agents skill), load-testing, or ordinary unit tests.
Deploy applications and websites to Vercel. Use this skill when the user requests deployment actions such as "Deploy my app", "Deploy this to production", "Create a preview deployment", "Deploy and give me the link", or "Push this live". No authentication required — returns a preview URL and a claimable deployment link.
Search DigiKey for electronic components and download datasheets — primary source for prototype orders and the preferred API method for fetching datasheets. Find parts by keyword or MPN, check pricing/stock, download datasheets via API, analyze specifications. Sync and maintain a local datasheets directory — extract components from schematics, download missing datasheets, keep them up to date. Also supports batch MPN-list seeding (`--mpn-list`) for bulk workflows without a KiCad project. Use when the user asks about electronic components, part specs, datasheets, pricing, stock, footprints, or needs to download a datasheet — even without mentioning "DigiKey". Also for "sync datasheets", "download datasheets for my board/project", or mentions a datasheets directory. DigiKey is the default distributor for prototyping. For BOM workflows, see the bom skill.
Create Earth2Studio diagnostic model wrappers for single-step data transformations, including simple derived diagnostics, packaged AutoModel diagnostics, and generative or diffusion diagnostics. Do NOT use for prognostic time-stepping models, data sources, or installation.
Load when authoring, writing, or designing a Kotlin Toolchain local plugin to extend the declarative build with code generation, build-time processing, custom verification, or packaging that module.yaml cannot express, or when referencing @TaskAction, @Configurable, plugin.yaml, or jvm/amper-plugin. Skip for porting an existing Gradle plugin.
Turn finished local work into a commit, an ordinary pull request, or a pull request stack. Use this skill to commit changes or to publish a branch. Use it to open or update a pull request. Use it to create, sync, restack, or submit a pull request stack. You can also run /plate. This skill owns all staging, commits, pushes, pull request creation, and stack changes. GitHub inspection, reviews, comments, CI, issues, releases, and repository administration are outside this skill. Use the gh CLI directly for that work.
Upgrade an existing website or app to premium quality without breaking functionality. Audit the current design, identify generic/AI tells, then apply taste and system rules surgically. Use when the user wants to improve, modernize, polish, or “make better” an existing UI/codebase.
Conduct an IPPF Member Association (MA) accreditation desk review against the IPPF EN Internal Guidelines Accreditation Review (Cycle 4 / ARV cycle, where ARV means Accreditation Review, NOT antiretroviral). Use when Ane assesses an MA self-assessment against accreditation principles, standards or checks, writes reviewer conclusions in the desk-review Word template, or prepares pre-interview document requests and interview questions, including on a bare principle, standard or check number ('do principle 8'). Not for literature reviews (evidence-synthesis), interview or survey guides (instrument-designer), indicator design (indicator-designer), or any clinical antiretroviral 'ARV' question.
NgRx SignalStore best practices for Angular. Covers shared state, computed state, entity management, and RxJS integration with rxMethod. Activates when working with @ngrx/signals and @ngrx/signals/entities. Do not use for NgRx Store or class-based state services. Install alongside angular-best-practices for full coverage.
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.