Installable AI Agent Skills

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Generate customizable widget plugins for the prompts.chat feed system

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prompt-optimizer is a skill that refines and optimizes user prompts for AI agents, ensuring effective communication and improved outcomes.

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api-design is a skill for creating well-structured REST APIs, following best practices for resource naming, HTTP methods, and error handling.

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Patterns and architectures for autonomous Claude Code loops — from simple sequential pipelines to RFC-driven multi-agent DAG systems.

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click-path-audit is a behavioural flow audit skill that traces every interactive touchpoint to find bugs where functions individually work but cancel each other out.

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Codebase-onboarding is a skill that analyzes an unfamiliar codebase and generates a structured onboarding guide with architecture maps, key entry points, and conventions.

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Audits Claude Code context window consumption across agents, skills, MCP servers, and rules. Identifies bloat, redundant components, and produces prioritized token-savings recommendations.

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C++ coding standards based on the C++ Core Guidelines (isocpp.github.io). Use when writing, reviewing, or refactoring C++ code to enforce modern, safe, and idiomatic practices.

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Build a fully automated AI-powered data collection agent for any public source — job boards, prices, news, GitHub, sports, anything. Scrapes on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from user feedback. Runs 100% free on GitHub Actions. Use when the user wants to monitor, collect, or track any public data automatically.

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django-verification is a skill that automates the verification loop for Django projects, including migrations, linting, tests, security scans, and deployment readiness checks.

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foundation-models-on-device is a skill that integrates Apple's on-device language model into apps using the FoundationModels framework for text generation, structured output, and custom tool calling.

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kotlin-testing is a set of testing patterns for Kotlin, utilizing Kotest, MockK, and Kover for reliable and maintainable tests.