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.Coordinates 10–20 dynamic agents per task for context-mode project operations. Covers issue triage, PR reviews and merges, releases, bug fixes, environment validation, adapter testing, branch synchronization, and marketing posts.
Creates comprehensive project handover documentation for AEM Edge Delivery Services. Produces guides tailored to content authors, developers, and administrators.
Uses Pruna P-Image, P-Image-LoRA, P-Image-Edit, and P-Image-Edit-LoRA through inference.sh. Supports text-to-image generation, image editing, LoRA styles, and multi-image compositing with an emphasis on fast inference.
Reads open comments from the tree browser and addresses them through code fixes.
Publishes worktree changes through a ready pull request using a unified body template and lifecycle labels. Releases issue claims when applicable and emits pull request and issue references for downstream workflow steps.
Defines intended behavior, reviews the scope of writes, and assesses reversible decisions. Supports clarifying or resuming discovery until a complete slice of work is actionable.
Helps evaluate microservices versus monoliths, database choices, scalability, and system design. Produces architecture decision records and diagrams in Mermaid, PlantUML, or ASCII, alongside technical stack and dependency analysis.
Describes workflow automation as infrastructure for reliable AI agents. Emphasizes durable execution so multistep workflows can resume where they stopped after network failures.
Defines a simplicity-focused design style. Emphasizes whitespace, readable typography, and restrained color to reduce visual clutter.
Provides maintenance support for generated Rust skill documentation references. Checks and fixes references when fix-skill-docs is explicitly invoked.
Computes odds conversions, de-vigging, edge detection, Kelly sizing, arbitrage, and parlay analysis using supplied odds. Accepts formats from sources such as ESPN, Polymarket, and Kalshi; it makes no API calls and does not fetch live data.
Supports posting, reading, and inspecting coordination messages on the AgentHub message board. Serves communication between competing agents in an AgentHub session.
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