Azure AI Document Intelligence SDK for .NET. Extract text, tables, and structured data from documents using prebuilt and custom models. Use for invoice processing, receipt extraction, ID document analysis, and custom document models. Triggers: "Document Intelligence", "DocumentIntelligenceClient", "form recognizer", "invoice extraction", "receipt OCR", "document analysis .NET".

Create JUI fragments — reusable DOM building blocks used in GWT/JUI applications. Use this skill when the user asks to: create a new fragment, build a reusable UI component that is not a full Component, create a DOM helper, or asks about fragment patterns. Also trigger when the user mentions fragment, DOM builder, or asks how to create a reusable piece of UI that can be inserted into builders.

When the user wants to submit their product to startup, SaaS, AI, agent, MCP, no-code, or review directories for backlinks, domain rating, and discovery. Also use when the user mentions "directory submissions," "submit to directories," "backlinks from directories," "list my product," "submit to Product Hunt," "BetaList," "TAAFT," "Futurepedia," "G2 listing," "Capterra listing," "AlternativeTo," "SaaSHub," "AI directories," "MCP registry," "agent directory," "dofollow backlinks," "launch directories," or "directory tracker." Use this whenever someone is planning the directory layer of a product launch or an ongoing backlink campaign. For the broader launch moment, see launch. For programmatic SEO pages that should live behind these backlinks, see programmatic-seo. For AI citation optimization, see ai-seo.

Generate complete, accessible colour palettes from a single brand hex. Produces 11-shade scale (50-950), semantic tokens, dark mode variants, Tailwind v4 CSS output, WCAG contrast checks. Use whenever the user supplies a brand hex and asks for a palette, mentions setting up a design system, wants Tailwind theme colours from a brand colour, or asks to check colour accessibility / contrast.

Receive and verify Alchemy Notify webhooks. Use when setting up Alchemy webhook handlers, debugging X-Alchemy-Signature verification, or handling onchain events like ADDRESS_ACTIVITY, NFT_ACTIVITY, or GRAPHQL (Custom Webhook).

Run backend tests and code quality checks for OPRE OPS. Covers ops_api pytest, data_tools pytest, and nox linting/formatting sessions. Use this skill when the user wants to run backend tests, check code quality, lint Python code, run pytest, or verify their backend changes pass CI checks — even if they just say "run the tests" or "does this pass".

Guide the user through authoring a new agent skill — when a skill is worth creating, the SKILL.md format, progressive disclosure, and common pitfalls. Also covers discovering skill opportunities from the user's work patterns and generating a SKILL.md from a description. Trigger phrases include "create a skill", "write a skill", "make a skill", "new skill", "SKILL.md format", "how do skills work", "skill best practices", "convert this workflow into a skill", "what should I automate", and "find skill opportunities". Don't use it for invoking existing skills — only when authoring a new one or understanding the skill format.

Routes Fusion Framework pull request reviews through the repository canonical review policy. USE FOR: review this PR, review these changes, Copilot code review, inspect a pull request diff. DO NOT USE FOR: dependency update PRs, resolving existing review comments, implementing fixes, or repository-wide audits.

Use when classifying, investigating, or fixing a suspected flaky test, intermittent test result, nondeterministic CI test failure, timing race, hang, or test-order dependency in dd-trace-js. Classifies infrastructure and deterministic failures before reproduction or code search.

Build custom Python data sources for Apache Spark using the PySpark DataSource API — batch and streaming readers/writers for external systems. Use this skill whenever someone wants to connect Spark to an external system (database, API, message queue, custom protocol), build a Spark connector or plugin in Python, implement a DataSourceReader or DataSourceWriter, pull data from or push data to a system via Spark, or work with the PySpark DataSource API in any way. Even if they just say "read from X in Spark" or "write DataFrame to Y" and there's no native connector, this skill applies.

Use when a CDS change in **cds-web**, **cds-common**, **cds-mobile**, **web-visualization**, or **mobile-visualization** needs a **jscodeshift** migration in `packages/migrator` to update callers or mitigate breaking API or import moves (add or change a transform, tests, or preset entry).

MUST be used when migrating an existing React app to Flows, or when no Flows auth is wired up. Detects classic vs Apps API flow from `app.json` `infra` field, installs the right packages, and wires up the entry file. No-op when a valid auth setup is already in place. Triggers: migrate to Flows, add Flows auth, DuneAuthProvider, AppSdkAuthProvider, connectToHostApp, useDune, Flows setup, setup auth, missing auth provider, CDF authentication, Fusion iframe auth.

Canonical Flows technical-review checks and scoring (hunt commands, coverage scope, package audit, public criteria, Must/Should/Nice). Loaded by flows-code-review and by any external review skill. Do not copy these checks into another skill. Do not use this skill to fix code. Use when an orchestrator says to load flows-review-checks, or when aligning two review flows on the same bar.

Guide for building applications with Apollo Kotlin, the GraphQL client library for Android and Kotlin. Use this skill when: (1) setting up Apollo Kotlin in a Gradle project for Android, Kotlin/JVM, or KMP, (2) configuring schema download and codegen for GraphQL services, (3) configuring an `ApolloClient` with auth, interceptors, and caching, (4) writing queries, mutations, or subscriptions,

Guide for building React applications with Apollo Client 4.x. Use this skill when: (1) setting up Apollo Client in a React project, (2) writing GraphQL queries or mutations with hooks, (3) configuring caching or cache policies, (4) managing local state with reactive variables, (5) troubleshooting Apollo Client errors or performance issues.

Draft a complete documentation page for a new Warp feature from its PRODUCT.md and/or TECH.md spec. Use when an engineer has written a spec and needs to produce a first-pass MDX draft for the warpdotdev/docs repo. Also handles features without specs by researching the codebase first. Invoke this skill whenever an engineer mentions writing docs for a feature, drafting a docs page, creating feature documentation, starting the eng-docs workflow, or converting a spec into documentation. Requires an interactive session with the engineer present - it confirms a content design plan, then an outline, before drafting, and cannot run unattended. For automated, release-triggered docs, use the missing_docs skill in warpdotdev/docs instead. Works from warp-internal or warp-server.

Use when a request needs shaping before any code is written — a rough or vague prompt to sharpen, an ambiguous idea to design, or a clear-enough task to decompose. One chain-starter that amplifies the prompt, designs the approach, and decomposes it into a batched task file, skipping whichever phases the request doesn't need, then STOPS at a build-location gate (build here, hand off to another session, or just keep the plan). Plan never implements. Trigger with /hyperflow:plan, "design this", "plan this", "decompose this", "how should we", "what's the best way to", "break this down", "enhance this prompt".

Apply Groq security best practices for API key management and data protection. Use when securing API keys, implementing least privilege access, or auditing Groq security configuration. Trigger with phrases like "groq security", "groq secrets", "secure groq", "groq API key security".

Optimize Groq API performance with model selection, caching, streaming, and parallel requests. Use when experiencing slow responses, implementing caching strategies, or optimizing request throughput for Groq integrations. Trigger with phrases like "groq performance", "optimize groq", "groq latency", "groq caching", "groq slow", "groq speed".

Use when you are moving a codebase off OpenAI, Anthropic, or another LLM provider onto Groq (or between Groq model generations) and want a zero-downtime, feature-flagged cutover with a benchmark and rollback plan. Trigger with phrases like "migrate to groq", "switch to groq", "groq migration", "openai to groq", "groq replatform".