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Found 3,494 Skills
Test, commit, and push in one atomic workflow. Runs Go and Python tests, commits with conventional message, pushes to current branch.
Audit an LLM eval pipeline and surface problems: missing error analysis, unvalidated judges, vanity metrics, etc. Use when inheriting an eval system, when unsure whether evals are trustworthy, or as a starting point when no eval infrastructure exists. Do NOT use when the goal is to build a new evaluator from scratch (use error-analysis, write-judge-prompt, or validate-evaluator instead).
Skill for creating custom lint rules by leveraging the existing linter ecosystems of various programming languages. This is a linter designed for AI Agents rather than humans, and its error messages function as correction instruction prompts for AI. Create custom rules in the `lints/` directory using standard methods for each language, including Rust (dylint), TypeScript/JavaScript (ESLint), Python (pylint), Go (golangci-lint), etc. Use this skill in the following scenarios: (1) When you want AI to enforce project-specific coding rules; (2) When you want to create lint rules that output AI-readable correction instructions when violations occur; (3) When you want to enforce naming conventions, structural patterns, and consistency rules through AI-driven linting. Triggers: "Create a linter rule", "Add a lint rule", "Enforce this pattern", "AI linter", "Custom lint", "Code rules", "Naming rules", "Structural rules", "create a linter rule", "add a lint rule", "enforce this pattern", "AI linter".
This skill should be used when writing, modifying, or reorganizing documentation in docs/learned/. Use when creating new documents, updating frontmatter, choosing categories, creating index files, updating routing tables, or moving files between categories. Essential for maintaining consistent documentation structure.
Update all system packages and tools in parallel — winget (Windows), Windows Update (Windows), npm globals, agent skills, and apt (Linux). Each update category runs as an independent parallel task, with winget packages also upgraded in parallel internally. Use when you want to bring everything up to date quickly.
Generate and edit images using Google's Nano Banana 2 (Gemini 3.1 Flash Image Preview) API. This skill should be used when the user asks to create or modify images, especially when they need fast iteration, explicit aspect-ratio control, or resolution control from 512px to 4K.
Expert image creation and editing using Nano Banana 2 (Gemini 3.1 Flash Image). Use when creating visual content from scratch, editing existing images with delta editing, or needing professional-quality images for any visual purpose. Supports photorealistic photography, artistic styles, logos with advanced text rendering, stickers, product mockups, precise delta editing, and character consistency across generations. Features --image-size control (512/1K/2K/4K) and structured production-grade prompting.
Expert guide for Schema.org structured data and JSON-LD implementation. Use when creating schema markup, validating structured data, implementing rich results (FAQ, HowTo, Product, Article, LocalBusiness, Breadcrumb, Organization, etc.), troubleshooting rich snippet eligibility, or understanding Google's structured data requirements.
Develop secure smart contracts using OpenZeppelin Contracts libraries. Use when users need to integrate OpenZeppelin library components — including token standards (ERC20, ERC721, ERC1155), access control (Ownable, AccessControl, AccessManager), security primitives (Pausable, ReentrancyGuard), governance (Governor, timelocks), or accounts (multisig, account abstraction) — into existing or new contracts. Covers pattern discovery from library source, MCP generators, and library-first integration. Supports Solidity, Cairo, Stylus, and Stellar.
Execute PostHog production deployment checklist and rollback procedures. Use when deploying PostHog integrations to production, preparing for launch, or implementing go-live procedures. Trigger with phrases like "posthog production", "deploy posthog", "posthog go-live", "posthog launch checklist".
Generate test report. Use when user says "test report", "results summary", "test status", "show results", "test dashboard", or "how did tests go".
Capture a correction or lesson as a persistent learning rule with category, mistake, and correction. Stores, categorises, and retrieves rules for future sessions. Use after mistakes or when the user says "remember this", "don't forget", "note this", or "learn from this".