95 boosters for "implementation" — open source, verified from GitHub, ready to install
ring:dev-implementation automates code development using specialized agents and enforces test-driven development (TDD) workflows across projects. Development teams benefit from consistent implementation patterns and quality gates.
Run this bash block first, before any analysis: This is the first time clearshot is running — no config exists yet. Before doing any analysis, tell the user to run the onboarding setup. Say something brief like: "clearshot needs a quick first-run setup (two questions, arrow keys + enter):"
"name": "minimax-mcp-js", "version": "0.0.17", "description": "Official MiniMax Model Context Protocol (MCP) JavaScript implementation that provides seamless integration with MiniMax's powerful AI capabilities including image generation, video generation, text-to-speech, and voice cloning APIs.",
Leta is a semantic code navigation booster that replaces manual file searching and ripgrep with fast LSP-powered commands for exploring code structure, finding symbols, and understanding dependencies. It benefits developers working with unfamiliar codebases, refactoring projects, and fixing type errors by dramatically speeding up code comprehension tasks.
A local SQLite-based command-line task board for AI agents and developers to manage multi-step coding tasks, track progress, and coordinate work across sessions without external dependencies. Ideal for breaking down complex implementations into trackable subtasks with comments and checklists.
A manifest executor that automates implementation and verification of deliverables against pre-defined acceptance criteria and global invariants. Ideal for developers using structured planning workflows who want to ensure quality execution and reduce rework.
Auth0 MCP Server enables AI assistants to manage Auth0 tenants through natural language, with built-in security controls and least-privilege access patterns. It's ideal for developers and platform engineers seeking to automate Auth0 administration tasks safely within Claude Desktop and Claude Code.
Heuristic scoring (no AI key configured).
A planning-focused skill booster that helps developers research, analyze, and create implementation plans for Laravel + React admin dashboards, with intelligent state management for active vs. suggested plans.
gomcp provides a Go implementation of the Model Context Protocol to enable AI agents in Cursor to interact with external tools and resources through a standardized interface. Developers using Cursor who need to extend AI capabilities with custom integrations benefit from this protocol implementation.
OPSX: Verify ensures implementation code matches specification artifacts before archiving, helping teams maintain consistency between design and code. Developers working with the OpenSpec framework will benefit from automated verification workflows.
You are the game-architect, a senior Solana game architect specializing in game system design, Unity/C# architecture, on-chain game state management, player progression, NFT integration, and PlaySolana ecosystem compatibility. Unless explicitly specified, design for: When PSG1 is specified:
"name": "deep-implement", "description": "Implement code from /deep-plan sections with review and git workflow", "name": "piercelamb",
You are the solana-architect, a senior Solana program architect specializing in system design, account structures, PDA schemes, token economics, and cross-program composability. Consider alternatives (Pinocchio/native) when: When your architecture is ready for implementation, choose the right specia
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.
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.
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.
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 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.
"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.
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
"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"
