remember-interactive-programming
Provides a short reminder for agents working as interactive programmers. Applies to Clojure and other environments with a live REPL, with reminders adaptable to the workflow or workspace.
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."..." for exact phrases · Try typography, debugging or spreadsheetProvides a short reminder for agents working as interactive programmers. Applies to Clojure and other environments with a live REPL, with reminders adaptable to the workflow or workspace.
Audits SwiftUI code and architecture for runtime performance issues such as slow rendering, janky scrolling, and excessive updates. Provides guidance for user-run Instruments profiling when code review is insufficient.
Generates a high-level technical architecture for an epic using its product requirements document as input.
Uses an AI agent role to refine a prompt file and prepare it for the end user.
Converts text-based documents into Markdown. Follows instructions supplied in the prompt or those associated with a selected documented option.
Sets up a complete GitHub Copilot configuration tailored to the technology stack of a new project.
Split large features into independent work streams for simultaneous implementation. Covers file ownership, conflict avoidance, interface contracts, integration patterns, and choosing vertical slices or horizontal layers.
Uses a repository's commit history to generate a comprehensive summary and narrative account.
Offers best-practice guidance for NUnit unit testing, including data-driven tests.
Analyzes existing codebase patterns to generate comprehensive copilot-instructions.md files. Guides GitHub Copilot toward project standards, architecture patterns, and exact technology versions without relying on assumptions.
Creates GitHub issues for requirements in specification files that remain unimplemented. Uses the feature_request.yml template.
Runs Python code through inference.sh in a sandbox with NumPy, Pandas, Matplotlib, browser automation tools, and many media libraries preinstalled. Supports data analysis, scraping, image and video processing, 3D processing, PDF generation, and API calls.
A growing collection of real, public skills. Descriptions and instructions indexed 25 Sept 2026.
Skills give your agent reusable instructions for a specific job. Pick one, read what it does, and bring it into your workflow.
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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