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Found 6,275 Skills
TensorLake SDK for building agentic workflows, sandboxed code execution, and document parsing/extraction. Use when the user mentions tensorlake, or asks about TensorLake APIs/docs/capabilities. Also use when the user is building AI agents or agentic applications that need serverless workflow orchestration (parallel map/reduce DAGs), sandboxed execution of LLM-generated code, or document parsing, structured extraction, and OCR from PDFs/images. Works with any LLM provider (OpenAI, Anthropic), agent framework (LangChain, CrewAI, LlamaIndex), database, or API as the infrastructure layer.
Use when you need data access with Quarkus Hibernate ORM Panache — including PanacheEntity / PanacheEntityBase, PanacheRepository, named and HQL queries, DTO projections (project(Class)), pagination (Page.of()), N+1 avoidance (JOIN FETCH), optimistic locking (@Version / OptimisticLockException), @NamedQuery for validated reusable queries, transactions, @TestTransaction for test isolation, and immutable-friendly patterns. This is the Quarkus analogue to Spring Data for relational persistence. Part of the skills-for-java project
Write unit and integration tests for a reproduced bug based on issue-analysis-<issue_number>.md.
A skill to improve test code quality based on the test principles from Google's "Software Engineering at Google". It supports creating new tests, reviewing and refactoring existing tests. Must be used when users make requests such as: "Write tests", "Add tests", "Review test code", "Refactor tests", "Improve test quality", "Check if test principles are followed", "Use good test writing practices", "I want tests for this method", "Insufficient test cases", "Review tests", "Increase coverage". Actively trigger this skill for any test-related work even if the skill name is not explicitly mentioned. It has three subcommands: review (test code review), refactor (refactoring existing tests), write (creating new tests).
Analyze a user's codebase to verify it can use Runway's public API (server-side requirement)
Customer.io platform help — customer engagement & marketing automation for behavior-based multi-channel messaging. Journeys (visual workflow builder with branching, delays, wait-untils), Campaigns (segment/event/date-triggered), Transactional Messages (API-triggered email, push, SMS), Segmentation (data-driven auto-updating and manual/static), Multi-channel (email, SMS via Twilio, push iOS/Android/web, in-app, WhatsApp), Data Pipelines (primary ingestion API, reverse ETL), Custom Objects, Ad Audience Sync (Google, Facebook, Instagram, YouTube), Design Studio (drag-and-drop email editor), A/B & cohort testing, Broadcasts (one-time/scheduled/API-triggered), Webhooks in workflows, and Analytics with AI-powered insights. Use when asking 'how do I do X in Customer.io', building behavior-triggered automation, setting up transactional messaging via Customer.io, configuring segments or journeys, integrating Customer.io Data Pipelines, or working with the Track/App/Transactional APIs. Do NOT use for general email marketing strategy (use /sales-email-marketing), cross-platform email deliverability (use /sales-deliverability), or email open/click tracking strategy (use /sales-email-tracking).
Run a structured design critique against the brief and codebase. Checks visual hierarchy, consistency, responsiveness, accessibility, and aesthetic fidelity. Use when user wants a design review, critique, QA pass, polish pass, or mentions "review" after building.
Lobstr.io platform help — no-code web scraping platform with 50+ ready-made scrapers for Google Maps, LinkedIn Sales Navigator, Twitter, YouTube, and more. Features cookie-based login sync, scheduled automation, multi-threading, and a full API with Python SDK and MCP Server. Use when configuring a Lobstr scraper, exporting data to Google Sheets or S3, setting up scheduled scraping, working with the Lobstr API or Python SDK, or managing credits. Do NOT use for general prospect list strategy (use /sales-prospect-list), cross-platform enrichment strategy (use /sales-enrich), or integration strategy (use /sales-integration).
Vercel agent-browser — Rust CLI for AI-driven browser automation via CDP. Use when: "agent-browser", "browse website", "automate browser", "scrape with browser", "fill form", "click button", "take screenshot", "browser automation", "headless chrome", "web interaction", "accessibility snapshot", "browser refs". Deterministic ref-based selectors, JSON output, daemon architecture. Replaces Playwright/Puppeteer for agent workflows.
Setup and workflow for using sqry semantic code search as an MCP server with OpenAI Codex CLI. Covers installation, MCP configuration via `~/.codex/config.toml`, and recommended patterns for code analysis tasks. Install this skill to give Codex access to sqry's 34 AST-based code analysis tools.
Create a detailed execution plan for implementing features or refactors in a codebase by leveraging existing research in the specified `research` directory.
Discover scientific equations from data using LLM-guided evolutionary search (LLM-SR). Multi-island algorithm with softmax-based cluster sampling, island reset, and LLM-proposed equation mutations. Use for symbolic regression and equation discovery.