Your agent can do more. Find the skill that makes it happen.
Find your next superpower If you are an agent, refer to our llms.txt for full access.Supports UI implementation and frontend review with quick and full review modes. Covers micro-interactions, shadows, borders, optical alignment, icon states, typography, and restrained motion.
Turn any markdown file into a publication-quality PDF. (gstack)
Plans features, tasks, and multi-step implementations in detailed phases. Includes documentation discovery and supports later execution through the do skill.
Cleans noisy commit history, improves pull request descriptions, and adds reviewer guidance. Makes changes easier to review without changing code behavior.
Checks repository guidance before contribution activities. Covers filing issues, creating branches, writing commit messages, pushing code, and opening pull requests in accordance with repository procedures.
Convention for creating, updating, or modifying rule files in .agents/rules/. Use when adding, editing, or restructuring rule files to ensure compatibility across Claude Code, GitHub Copilot, Cursor, and OpenAI Codex.
Manages master and variant SpriteAtlases, texture settings, packing, and platform-specific configuration. Uses IPreprocessBuildWithReport for automated prebuild generation and covers adding sprites, optimization, and runtime atlas access.
Supports DAG authoring with environment discovery, Airflow 2 and 3 compatibility checks, and authoring best practices. Covers local and remote validation in Managed Service for Apache Airflow, formerly Cloud Composer.
Provides troubleshooting guidance for DAG run and task instance failures in Managed Service for Apache Airflow, formerly Cloud Composer. Focuses on failure diagnosis rather than general environment performance recommendations.
Supports DAG code upgrades in Managed Service for Apache Airflow through environment inspection, Cloud Storage transfers, and scanning for breaking changes. Covers Airflow 2.11.1 on Gen 2 and Gen 3 environments and Airflow 3 on Gen 3.
Guides requirements gathering, capability mapping, scaffolding, and deployment of Managed Deep Agents. Covers project layout, agent definitions, tools, middleware, memory, sandboxes, schedules, channels, evaluations, CLI lifecycle commands, and Context Hub.
Uses the Strix cloud CLI or REST API to test web apps, APIs, repositories, or local workspaces without local Docker or an LLM key. Covers source uploads, asset registration, scan monitoring, vulnerability triage, reports, PR reviews, schedules, and webhooks.
Skills give your agent reusable instructions for a specific job. Pick one, read what it does, and bring it into your workflow.
A name only tells half the story. Search the full description and instructions to find the right fit.
Read the skill, visit its source, and see exactly what you’re adding to your agent.
Copy the install command from a skill page and run it in your project.
npx skillycli add owner/repo --skill name