By petekp
Provides a library of specialized agent skills for UI development, parameter tuning, code quality auditing, documentation generation, and research, enabling AI-assisted creation and iterative design across the development lifecycle.
Remove LLM-isms and AI writing patterns from text. This skill should be used when editing prose to sound less like AI output — removing overused words, fixing structural tells, and restoring natural human voice. Triggers: "de-slop", "remove AI writing", "humanize this", "sounds too AI", "LLM-isms", "AI slop", or when reviewing text that reads like chatbot output.
Facilitate methodical review of proposals (technical designs, product specs, feature requests). Use when asked to "review this proposal", "give feedback on this doc", "help me review this RFC", or when presented with a document that needs structured feedback. Handles markdown files, GitHub gists/issues/PRs, and other text formats. Chunks proposals intelligently, predicts reviewer reactions, and produces feedback adapted to the proposal's format.
Enter todo recording mode to capture ideas without acting on them. Use when the user says "record todos", "let's capture some todos", "brainstorm mode", or wants to dump ideas without immediate execution. Captures thoughts to .claude/todos/, then organizes and prioritizes on exit.
Expert Unix and macOS systems engineer for shell scripting, system administration, command-line tools, launchd, Homebrew, networking, and low-level system tasks. Use when the user asks about Unix commands, shell scripts, macOS system configuration, process management, or troubleshooting system issues.
Compile a plain-language task into a concise, auditable Codex or Claude Code `/goal`, or explain why a normal prompt fits better. Use when the user asks to draft, formulate, rewrite, tighten, or create a goal for multi-step work that needs a durable objective, transcript-visible proof, constraints, bounded stop conditions, host-aware operation, and risk-based review depth.
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Agent Skills for UI development, parameter tuning, and design iteration.
# Install all skills
npx add-skill petekp/agent-skills
# Or install individually via Claude Code
/plugin install petekp/agent-skills
Create bespoke parameter tuning panels for iterating on animations, layouts, colors, typography, physics, or any visual parameters.
Trigger phrases:
Supports: leva (React), tweakpane (vanilla JS), dat.GUI, SwiftUI native controls
Robust Rust patterns for file-backed data, parsing, persistence, FFI boundaries, and system integration.
Trigger phrases:
Covers: UTF-8 safety, atomic writes, state machines, defensive error handling
Build world-class SwiftUI interfaces for iOS, iPadOS, macOS, and visionOS.
Trigger phrases:
Covers: Layout patterns, state management, design tokens, performance, accessibility
petekp/agent-skills/
├── .claude-plugin/
│ └── marketplace.json
├── skills/
│ ├── tuning-panel/
│ ├── rust/
│ └── swiftui/
└── README.md
MIT
npx claudepluginhub petekp/agent-skills --plugin rustStructured, resumable developer flows for Claude Code. /circuit:run is the default Circuit command for natural-language coding tasks and routes to the right flow with recorded evidence. Continuity is captured automatically across sessions; /circuit:handoff saves, resumes, or clears a deliberate handoff.
Multi-phase workflows for Claude Code that survive session crashes, enforce review gates, and resume exactly where they stopped.
Structured, resumable, multi-stage developer flows for Claude Code. /circuit:run selects the best flow for a natural-language task and invokes /circuit:explore, /circuit:review, /circuit:migrate, /circuit:fix, /circuit:build, or /circuit:sweep; /circuit:create and /circuit:handoff cover custom flows and continuity.
Design fluency for frontend development. 1 skill with 23 commands (/impeccable polish, /impeccable audit, /impeccable critique, etc.) and curated anti-pattern detection.
Lazy senior dev mode. Forces the simplest, shortest solution that actually works: YAGNI, stdlib first, no unrequested abstractions.
Behavioral guidelines to reduce common LLM coding mistakes, derived from Andrej Karpathy's observations on LLM coding pitfalls
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
Develop, test, build, and deploy Godot 4.x games with Claude Code. Includes GdUnit4 testing, web/desktop exports, CI/CD pipelines, and deployment to Vercel/GitHub Pages/itch.io.
Access thousands of AI prompts and skills directly in your AI coding assistant. Search prompts, discover skills, save your own, and improve prompts with AI.