113 boosters for "implementation" — open source, verified from GitHub, ready to install
For best results, use GPT-5.3 Codex or Gemini 3.0 Pro. Build every interface with senior-level craft, intent, and consistency. Includes specialized support for Fintech Dashboards, SaaS Landing Pages, and Developer Tools. 1. — direction selection and example systems
A skill that guides AI assistants through a structured wrap-up workflow for code changes, ensuring linting, tests, docs, and skill updates are completed before context runs out. Useful for developers working with Claude-based coding assistants who need systematic quality checks.
Senior Solana program architect for system design, account structures, PDA schemes, token economics, and cross-program composability. Use for high-level design decisions, architecture reviews, and planning complex multi-program systems. Use when: Designing new programs from scratch, planning account structures, optimizing PDA schemes, reviewing architecture for security, or deciding between implementation approaches.
Deep research specialist for Solana ecosystem. Performs comprehensive investigation of protocols, SDKs, APIs, and blockchain patterns with systematic methodology and evidence-based analysis. Use when: Researching Solana protocols, investigating SDK capabilities, comparing implementation approaches, or gathering information about ecosystem tools and patterns.
Structured workflow for complex feature development. Creates living documentation that guides implementation and serves as team reference. 1. One phase at a time — NEVER generate documents for subsequent phases in advance 2. Mandatory confirmation — After each phase, STOP and wait for user confirmat
A Windsurf prompt that guides Python code writing for QuantConnect's Lean options framework by eliminating unnecessary hasattr() checks. Useful for traders and algorithmic developers implementing option strategies.
Senior Solana game architect for game system design, Unity/C# architecture, on-chain game state, player progression, NFT integration, and PlaySolana ecosystem. Use for high-level game design decisions, architecture reviews, and planning complex game systems. Use when: Designing new Solana games from scratch, planning game state on-chain, Unity project architecture, integrating with PlaySolana/PSG1, or deciding between implementation approaches.
"description": "Implementation of the Dr. Ralph technique - continuous self-referential AI loops for interactive iterative development. Run Claude in a while-true loop with the same prompt until task completion.", "name": "Mike Endale", "email": "mike@blencorp.com"
Game development specialist supporting all aspects of game creation from concept to implementation. Use PROACTIVELY when designing games, implementing game mechanics, balancing gameplay, or creating interactive experiences. Covers planning, design, programming, and polish.
Compliance gap analysis specialist. Use PROACTIVELY when analyzing discrepancies between legal requirements and actual operations, detecting regulatory drift, and identifying implementation gaps. Specializes in law-vs-practice analysis for GDPR, labor laws, financial regulations, and industry standards.
"description": "Context-Driven Development: draft specs and plans before implementation. Structured workflows for features and fixes.", "homepage": "https://github.com/mayurpise/draft", "context-driven-development",
"description": "AI-assisted spec crafting through research, interviews, and multi-LLM review. Like Geppetto carved Pinocchio from wood, transform rough ideas into living implementation plans.", "name": "Leonardo Flores", "url": "https://github.com/leonardocouy"
You are the TESTER - the visual QA specialist who SEES and VERIFIES implementations using Playwright MCP. Test implementations by ACTUALLY RENDERING AND VIEWING them using Playwright MCP - not just checking code! 1. Understand What Was Built
You are the CODER - the implementation specialist who turns requirements into working code. Take a SINGLE, SPECIFIC todo item and implement it COMPLETELY and CORRECTLY. 1. Understand the Task
Execute verbatim. All gates, evidence, output format, and compression receipts are defined there. This agent exists solely to leverage Claude Code's native skill frontmatter injection — DO NOT add logic here.
The implement booster activates specialized AI personas (architect, frontend, backend, security, QA) to coordinate feature and code implementation with framework-specific best practices and MCP tool integration. It's designed for developers needing structured, multi-domain implementation workflows in Claude Code.
This sub-skill generates a complete email marketing strategy tailored to your business type, including: Invoked by from the main email skill. First, check if exists and contains business type. If not, analyze context signals:
Enables Claude to delegate code review, debugging, and alternative implementation exploration to Google Gemini CLI through a JSON bridge script. Useful for developers who want multi-model validation and second opinions on code without manual context switching.
LangSmith MCP Server is a TypeScript-based Model Context Protocol server that integrates LangSmith's debugging and monitoring capabilities into Claude, enabling developers to track and analyze LLM interactions directly within their development workflow.
An enhanced MCP server for Coolify that enables AI assistants to automate deployment, infrastructure management, and DevOps tasks directly through Claude, Cursor, or Windsurf. Ideal for developers and platform engineers managing self-hosted applications who want AI-assisted infrastructure automation.
"name": "ai-driven-engineering", "description": "AI-Driven Engineering workflow commands for managing issues, tasks, implementation, and PRs.", "name": "Sascha Heyer"
"description": "Plan-to-code pipeline: automated planning with 5-actor verification, then TDD execution with parallel agents. Formerly beast-plan.", "name": "Dmitrii Malakhov" "skills": "./skills/"
"version": "1.13.0", "description": "Structured agentic development methodology - from issue analysis to merge", "name": "Kevin Ryan"
"$schema": "https://anthropic.com/claude-code/marketplace.schema.json", "name": "XiaoConstantine", "email": "constantine124@gmail.com"
