Loading...
Loading...
Found 3,129 Skills
Improve test coverage in the OpenAI Agents Python repository: run `make coverage`, inspect coverage artifacts, identify low-coverage files, propose high-impact tests, and confirm with the user before writing tests.
Issue creation expertise and convention enforcement. Auto-invokes when creating issues, writing issue descriptions, asking about issue best practices, or needing help with issue titles. Validates naming conventions, suggests labels, and ensures proper metadata.
Searches across your Notion workspace, synthesizes findings from multiple pages, and creates comprehensive research documentation saved as new Notion pages. Turns scattered information into structured reports with proper citations and actionable insights.
Create professional invoices with proper formatting for freelancers and small businesses. Supports multiple currencies and tax calculations.
Generates high-quality Gherkin (BDD) scenarios from functional requirements using a two-agent iterative cycle: a generator agent that creates/modifies the Gherkin and a reviewer agent that validates it and proposes improvements. The cycle repeats automatically until the Gherkin passes review. Use this skill whenever the user mentions: "generate Gherkin", "BDD scenarios", "Gherkin test cases", "Feature/Scenario/Given/When/Then", "requirements to Gherkin", "BDD specifications", or asks to transform functional requirements into behaviour tests. Also applies when the user brings a requirements document and wants test cases, acceptance criteria, or user stories with executable examples.
Conducts a guided conversational interview with the user about the image or scene they want to create, asking pertinent questions to fully understand their vision, then synthesizes a perfect model-appropriate prompt with recommended settings. Use when the user says "I want to create...", "help me make an image of...", "I have an idea for...", or asks for help crafting a prompt.
Use this skill when creating conference talks, live coding demos, technical blog posts, SDK quickstart examples, or community engagement strategies. Triggers on developer relations, DevRel, developer experience, tech evangelism, talk proposals, CFP submissions, demo scripts, tutorial writing, hackathon planning, community building, and any task involving advocating a product or API to a developer audience.
Use when users provide vague, underspecified, or unclear requests where they need help defining WHAT they actually want - across ANY domain (writing, analysis, code, documentation, proposals, reports, presentations, creative work). Trigger aggressively when users express VAGUE GOALS ("make this better", "improve our X", "figure out what to include", "I don't know where to start", "kinda lost on what to do", "not sure what this means"), UNDEFINED SUCCESS ("should look professional", "explain this clearly", "make it convincing", "whatever works best", missing constraints/audience/format), COMMUNICATION UNCLEAR ("how do I explain/communicate this", "my team gets confused when I describe it", "help me figure out what to ask about X"), AMBIGUOUS REQUIREMENTS ("analyze the data" without saying what to look for, "improve documentation" without saying how, "make it more robust" without defining robustness, any request with multiple valid interpretations), or META-PROMPTING ("optimize this prompt", "improve my prompt", "make this clearer", "review my instructions", learning about prompt frameworks like CO-STAR/RISEN/RODES, understanding what makes prompts effective). Trigger for non-technical users and ANY situation where the request needs refinement, structure, or clarification before execution can begin. When in doubt about whether a request is clear enough - trigger.
Generates production-ready React components with TypeScript, Tailwind CSS, proper accessibility, and test scaffolding. Use when asked to create a new React component.
Write, review, and adapt SQL for PolarDB-X 2.0 Distributed Edition (Enterprise Edition) in AUTO mode, properly handle differences between PolarDB-X and MySQL (such as partitioned tables, Global Secondary Index (GSI), Columnar Index (CCI), Sequence, distributed transactions, table groups, TTL tables, etc.). Suitable for scenarios where you need to generate SQL to run on PolarDB-X, migrate MySQL SQL to PolarDB-X, or debug PolarDB-X SQL compatibility issues.
A/B test evaluation, cohort retention analysis, funnel metrics, and experiment-driven product decisions. Use when analyzing experiments, measuring feature adoption, diagnosing conversion drop-offs, or evaluating statistical significance of product changes.
Implement Syncfusion React Scheduler component for calendar, event scheduling, and appointment management. Use this when building scheduling systems, calendar applications, booking systems, or time management interfaces. Covers all scheduler views (Day, Week, Month, Timeline, Agenda, Year), data binding, resource scheduling, recurring events, CRUD operations, drag-and-drop scheduling, customization, accessibility, and advanced features.