Skills
99,719 packaged capabilities and playbooks for agents. Install any of them with one command.
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Authoring or revising a Git commit message, titling a pull request, or judging whether a header conforms — the Conventional Commits v1.0.0 header contract, plus a validator that catches a malformed header before it reaches your history. Triggers on "write a commit message", "what type should this be", "is this header valid", "does this need a scope", "mark this as a breaking change", or preparing a squash-merge title that becomes a permanent commit subject. Not the pull request body, which a pull-request-description capability owns, and not issue titles. Covers types, scopes, footers, breaking-change markers, and SemVer correlation.
When the user wants to consolidate the financial results of multiple legal entities into a single set of statements. Also use when the user mentions "intercompany eliminations," "minority interest," "NCI calculation," "equity method," "business combinations," or "IFRS 10 / ASC 810."
Design and build sound self-prompting loops — loops where a model iterates toward a goal across turns (draft→critique→revise, autonomous task loops, multi-agent orchestration, human-checkpointed loops). Use whenever the user wants to make a model "keep improving X until Y", build a self-refinement or reflexion loop, an autonomous agent that works toward a goal with little supervision, a loop that orchestrates or fans out to other agents, a recurring self-driven/scheduled task, or any agentic loop — even if they don't say the word "loop"; also use it to audit or fix an existing loop that runs away, never stops, oscillates, drifts off-goal, or is vulnerable to prompt injection. It produces a filled loop spec, a runnable scaffold, and bakes in the mandatory safety properties (a hard stop backstop and the trusted/untrusted two-channel boundary) that loops fail without. Accepts a skill-contract task-plan envelope as the loop's plan. Honors a skill-contract autonomy grant at its write gate.
Guides creation of BKN (Business Knowledge Network) definition files following v2.0.1 spec. Covers network, object_type, relation_type, action_type, concept_group. Use when creating knowledge networks, BKN files, object types, relation types, action types, concept groups, or when user asks to model business knowledge in BKN format. When kweaver-core is also loaded, use it to run kweaver CLI (auth, bkn push) after files exist.
Create dimensioned 3D CAD parts from natural-language requirements and export validated STEP, STP, or STL files with OpenCAD. Use when a user asks an AI agent to model a mechanical part, make a printable STL, create an editable STEP file, convert a dimensional description into CAD, or revise a previously generated OpenCAD model.
Use when working with sunpeak, or when the user asks to "build an MCP App", "build a ChatGPT App", "add a UI to an MCP tool", "create an interactive resource for Claude Connector or ChatGPT", "build a React UI for an MCP server", or needs guidance on MCP App resources, tool-to-UI data flow, simulation files, host context, platform-specific ChatGPT/Claude features, or production builds. For testing (e2e, visual regression, live tests, evals), see the test-mcp-server skill.
Specialist for creating CodeSpring PRDs. Interactive — it lists the user's core features, asks which one and whether to generate a Frontend, Backend, or Both PRD, then deep-dives the real code and generates the PRD(s) and attaches them to the feature's bridge on the canvas. The PRDs capture the shared backend contracts and design system so new features are built without duplicating or breaking what exists. Use when the user wants a PRD / spec for a feature. Triggers, "create a PRD", "make a frontend PRD", "make a backend PRD", "generate PRDs for this feature", "document this feature in CodeSpring", "spec out X so I can design new features".
Gmail customer support triage with mandatory full-thread read-back before every reply or follow-up, a draft-only default, per-draft Codex project threads, approval-gated final closure replies with eligible optional Trustpilot review invitations, and approval-gated operations for verified DreamCut Discord invite requests. Use when the user asks to run the customer email automation, check unread/recent support emails, review a customer follow-up, prepare or send Gmail replies, close a positively confirmed resolved case, continue a support handoff, create agent/project threads for drafted follow-up, or fulfill DreamCut Discord access requests
Verify customer support work against the selected customer-case flow, full-thread evidence, account and canonical-thread matching, authority, financial approval, customer communication, eligible optional Trustpilot review-request rules, post-action read-back, send confirmation, thread-wide archive, and closure requirements. Use after every SaaS support triage, account/access or unsupported-platform response, duplicate or resolved acknowledgement, positive-confirmation closure reply, cancellation, failed-payment cancellation, refund, accidental-renewal case, support handoff, draft, send, or archive task before reporting completion. Triggers on: verify support case, support closure check, cancellation verification, refund verification, accidental-renewal case, duplicate/resolved acknowledgement, account-access ticket, Trustpilot eligibility, thread read-back before marking done.
Vercel Daemons guidance — long-running background workers built from a Dockerfile and declared under the `daemons` key in vercel.json. Use when running queue consumers, Celery/Sidekiq/BullMQ workers, workflow workers, or job runners next to an app on Vercel; configuring daemon instances per region, memory, or command; handling SIGTERM; or choosing between Daemons, Functions, Queues, and Workflows.
Create a recurring daily UI inspiration capture. Use when the user asks to run, refresh, package, or validate dated UI inspiration bundles, especially for `articles/YYYY-MM-DD-ui-inspiration-capture/` outputs, Framer/Dribbble landing-page inspiration, motion-study screenshots or videos, AI-builder prompts, duplicate checking, or converting a project runbook into a repeatable workflow
Invoke when the user has formed a strong opinion or theory and needs to test its reliability. Typical trigger signals: confirmation bias, looking only at supporting evidence, instinctive rejection of new evidence, "I'm sure this is right", self-review before a major judgment. Not for urgent situations requiring fast decisions, nor for pure information-gathering stages (no falsification needed when there is no opinion yet).
Data analysis pro skill providing three core functions: data analysis, data interpretation, and data visualization. **Use Cases**: (1) Data Analysis - Statistics, filtering, aggregation, calculation (e.g., "Calculate total sales", "Filter data greater than 100") (2) Data Interpretation - Trend analysis, pattern discovery, report generation (e.g., "Analyze sales trends", "Interpret data changes") (3) Data Visualization - Chart generation, data display (e.g., "Draw a bar chart", "Generate a pie chart") **Trigger Keywords**: analyze data, statistics, calculate, interpret trends, generate chart, visualize, plot **Prerequisites**: Set environment variable CHARTGEN_API_KEY (obtain from chartgen.ai)
Use when designing BK-CI database tables, DDL scripts, indexes, table partitioning, or data archiving strategies. Prefer this when the user mentions table schemas, field design, index optimization, SQL script naming, sharding, or archive migration.
AI image generation and editing (都爆鸭) — use it when one sentence should yield one image: text-to-image, image-to-image, image editing, key visuals, or a single illustration. Give a description and it produces an image; give a reference image (a local file works too) and it edits on that basis. Slow operation: usually 1–2 minutes, up to 4 minutes; don't interrupt or retry while waiting (a retry means paying twice for the same image). After generation it saves a local file and gives you the path. Triggers: 画张图, 帮我画, 生成图片, 生成一张图, AI 出图, 出图, 文生图, 图生图, 改图, 改一下这张图, P 一下, 配图, 配张图, 配一张插图, 来张主视觉, 做张视觉图, 按这个描述画, 封面, 封面图, 公众号封面, 做张封面, 配张封面图, 首图灵感. Not for: wanting only cover formulas and reference data (no finished image) — use dby-api; placing images into an article and saving a draft — use dby-publish.
Set up the Datadog Azure integration with Terraform: creates an Entra ID app registration and service principal, assigns Monitoring Reader across the chosen subscriptions and management groups, grants the Microsoft Graph permissions Datadog needs for resource discovery, and registers the tenant so Azure metrics and resource collection start flowing. Use when the user wants to monitor Azure VMs, App Service, SQL Database, or AKS, wants to connect an Azure subscription or management group or tenant to Datadog, or asks to set up or repair the Azure integration. Does not set up log forwarding.
Build a business / industrial report deck in PowerPoint or Canva — executive summaries, stakeholder updates, project/pilot results, quarterly business reviews, R&D-to-business reports, client deliverables, and internal decision decks for a non-academic audience. Use when the user wants PowerPoint or Canva (not LaTeX/Beamer) slides aimed at executives, managers, or clients, organized around situation/recommendation/impact rather than a paper's contribution: "make a PowerPoint report", "build a .pptx for the leadership review", "executive deck for our pilot results", "industrial report slides", "QBR deck", "Canva slides for the client". Two phases — slide-spec, then a real .pptx via the python-pptx builder (or import-ready content + a design spec for Canva). For academic talks/lectures use deck-beamer-academic; for proposal/report decks in LaTeX use deck-beamer-proposal-report.
Use when writing or reviewing JavaScript/TypeScript in this repo that builds an interactive voice agent via `agent.deepgram.com/v1/agent/converse`. Covers `client.agent.v1.createConnection()` / `connect()`, `sendSettings`, `sendMedia`, runtime updates, event handling, and function-call responses. Use `deepgram-js-text-to-speech` for one-way synthesis, `deepgram-js-speech-to-text` or `deepgram-js-conversational-stt` for transcription only, and `deepgram-js-management-api` for project/model admin rather than live agent runtime. Triggers include "voice agent", "agent converse", "full duplex", "barge-in", "function calling", and "agent.v1".
Use when deploying Deno apps to production, asking about Deno Deploy, or working with `deno deploy` CLI commands. Covers deployment workflows, environment variables, KV database access, custom domains, the --tunnel flag for local development, and the `deno deploy` command reference.
Use when working with Fresh framework, creating routes or handlers in Fresh, building web UIs with Preact, or adding Tailwind CSS in Deno. Covers Fresh 2.x project structure, route handlers, islands, createDefine, PageProps, context patterns, and Fresh 1.x to 2.x migration. Essential for any Fresh-related question.
Provide expert UX/UI design critique and feedback on screens, mockups, wireframes, or live implementations. Use this skill when the user wants design feedback, a critique, a review of visual design quality, or opinions on UX decisions. This goes beyond compliance checking (that's design-reviewer) — this is about design quality, usability, visual hierarchy, clarity, and user experience. Also trigger when the user says 'what do you think of this design', 'critique this', 'give me feedback on', 'how can I improve this UI', 'does this look good', 'rate this design', or shares a screenshot or mockup for review.
Transform feature briefs into structured design briefs that give designers the context they need before opening Figma. Use when asked to write a design brief, create a design handoff, brief a designer on a new feature, or translate a PRD into design requirements. Produces a brief with user goal, emotional context, success criteria, constraints, edge cases, and out-of-scope boundaries.
Apply Gang of Four design patterns to solve architectural problems in TypeScript. Use when refactoring code architecture, implementing extensible systems, decoupling components, or following SOLID principles. Covers all 22 GoF patterns: Creational (Factory Method, Abstract Factory, Builder, Prototype, Singleton), Structural (Adapter, Bridge, Composite, Decorator, Facade, Flyweight, Proxy), and Behavioral (Chain of Responsibility, Command, Iterator, Mediator, Memento, Observer, State, Strategy, Template Method, Visitor).
Detect command injection against Modbus TCP/RTU in ICS/SCADA environments by monitoring unauthorized writes, anomalous function codes, malformed frames, and deviations from communication baselines using ICS-aware IDS and deep packet inspection. Use when deploying IDS for Modbus OT networks, investigating unauthorized PLC register/coil changes, or responding to FrostyGoop-style Modbus attacks.
Guide for creating, editing, and using parameter sets (paramsets) in IBM watsonx.data integration. Covers parameter types, value sets, PROJDEF, local parameters, runtime parameters, flow parameters, #param# and ${param} reference syntax for both DataStage (batch) and StreamSets (streaming) flows, and parameterizing connection properties with external parameter sets. Use when the user wants to create, list, update, or delete parameter sets; manage value sets; attach parameter sets to flows or connections; parameterize connection properties; or reference parameters inside a flow or connection.
Creates, reads, edits, and comments on monday.com docs - the rich-content surface inside monday for meeting notes, RFCs, runbooks, weekly updates, postmortems, and any work-adjacent writing. Goes beyond markdown shuffling by embedding live board column values inline (so the doc reflects real-time status), tagging users / docs / boards via mentions, scaffolding common doc shapes, and routing each edit through the correct update_doc operation. Use when user asks to "create a doc", "make a monday doc", "draft meeting notes", "write an RFC", "scaffold a runbook", "summarize a meeting in a doc", "add a section to my doc", "edit my doc", "update the doc", "comment on a doc", "tag someone in a doc", "embed a status in a doc", "show live board data in a doc", "rename a doc", or "show me my docs".
Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files). Triggers include: any mention of "Word doc", "word document", ".docx", or requests to produce professional documents with formatting like tables of contents, headings, page numbers, or letterheads. Also use when extracting or reorganizing content from .docx files, inserting or replacing images in documents, performing find-and-replace in Word files, working with tracked changes or comments, or converting content into a polished Word document. If the user asks for a "report", "memo", "letter", "template", or similar deliverable as a Word or .docx file, use this skill. Do NOT use for PDFs, spreadsheets, Google Docs, or general coding tasks unrelated to document generation.
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.