113 boosters for "implementation" — open source, verified from GitHub, ready to install
A multi-language quality validation tool that automatically runs linting, formatting, type checking, and tests across 9 programming languages to ensure code meets standards before PR submission. Developers use it to catch quality issues early and maintain consistent code standards throughout their projects.
Create detailed implementation plan using the implementation-planner agent. ⚠️ Requires ResearchPack from or 1. Checks ResearchPack exists and passed validation (80+)
An MCP server that integrates Claude with the Hevy fitness tracking app, enabling AI-powered workout analysis, progress tracking, and fitness insights. Ideal for fitness enthusiasts and developers building AI-assisted health applications.
This MCP server bridges AI assistants with Linear project management via GraphQL, enabling Claude and Cursor users to query and manage Linear projects directly through natural language. It's essential for teams using Linear who want AI-assisted workflow automation and issue management.
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.",
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.
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.
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).
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
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:
The user has described what they want. Check if they've stated outcomes or implementations. An outcome says what changes for the user or business. An implementation says what to build. If they wrote implementations, help them restate as outcomes. If they wrote outcomes, confirm them and move on. Kee
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.
There are a few overarching principles that summarize how to think about writing readable Go code. The following are attributes of readable code, in order of importance: The core goal of readability is to produce code that is clear to the reader. Clarity is primarily achieved with effective naming,
XMTP node implementation.
"name": "deep-implement", "description": "Implement code from /deep-plan sections with review and git workflow", "name": "piercelamb",
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.
"name": "@goplausible/algorand-mcp", "description": "Algorand Model Context Protocol Local Implementation", "build": "tsc && cp -r src/resources/knowledge/taxonomy src/resources/knowledge/taxonomy-categories dist/resources/knowledge/ && chmod +x dist/index.js",
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.
