Developer

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swiftui-patterns is a set of modern SwiftUI architecture patterns for building efficient and scalable user interfaces on Apple platforms.

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frontend-slides is a skill that creates interactive, animation-rich HTML presentations from scratch or by converting PowerPoint files, inspired by visual exploration approaches.

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article-writing is an AI agent skill that generates long-form content including blog posts, tutorials, and newsletter issues using a distinctive voice derived from brand examples. It structures content with concrete examples, anecdotes, and evidence while maintaining voice consistency.

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content-engine is an MCP (Model Context Protocol) skill that enables AI agents to generate platform-native content from a single source asset. It specializes in adapting content for X threads, LinkedIn posts, TikTok scripts, YouTube explainers, and multi-platform campaigns.

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investor-materials is an MCP skill for AI agents like Claude that creates and revises investor-facing documents. It ensures all fundraising materials, from pitch decks to financial models, remain internally consistent by aligning them to a single source of truth.

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investor-outreach is an AI Agent Skill for Claude that drafts personalized investor communications for fundraising. It generates cold emails, warm intro blurbs, follow-ups, and update emails tailored to specific fund theses and partner fit.

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autonomous-loops is a skill providing patterns and reference implementations for running Claude Code in autonomous loops. It covers architectures ranging from simple sequential pipelines to RFC-driven multi-agent DAG systems for continuous AI agent operation.

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Plankton-code-quality is a write-time code quality enforcement system that integrates formatting, linting, and Claude-powered fixes directly into developer workflows via PostToolUse hooks. It automatically processes code modifications and applies corrections through AI-assisted subprocesses.

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agent-harness-construction is a developer skill for designing and optimizing AI agent action spaces, tool definitions, and observation formatting. It focuses on core constraints like action space quality and recovery quality to achieve higher completion rates for agents like Claude.

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agentic-engineering is an AI agent skill for engineering workflows that uses an eval-first execution loop, decomposes work into agent-sized units, and routes model tiers by task complexity to enforce quality and risk controls.

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ai-first-engineering is an operating model for development teams where AI agents generate a significant portion of code implementation. It focuses on process design, review methodologies, and architecture requirements specifically optimized for AI-assisted development workflows with tools like Claude Code.

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continuous-agent-loop is a canonical skill for v1.8+ that provides patterns for implementing continuous autonomous agent loops. It features a loop selection flow for different use cases and includes quality gates, evals, and recovery controls for building reliable AI agent systems.