95 boosters for "implementation" — open source, verified from GitHub, ready to install
A skill booster that structures implementation execution by dispatching independent subagents for each task with two-stage review (spec compliance, then code quality), designed for developers managing multi-task implementation plans in a single session.
Helps developers critically evaluate code review feedback by verifying technical soundness before implementation, preventing blind acceptance of potentially incorrect suggestions.
A collaborative design-first booster that guides developers through brainstorming and specification before implementation, preventing premature coding and misaligned requirements.
Helps developers create isolated git worktrees for parallel feature development without disrupting their current workspace. Essential for teams managing multiple branches simultaneously.
Guides developers through the final stages of completing a development branch by verifying tests pass and presenting structured options for merging, creating PRs, or cleanup. Useful for developers who want a systematic approach to integrating completed work.
A skill for executing pre-written implementation plans with critical review and checkpoint validation, ideal for breaking complex tasks into separate sessions with human oversight.
Guides AI coding assistants to follow Test-Driven Development principles by writing failing tests before implementation code. Useful for developers who want to maintain code quality and ensure comprehensive test coverage.
A senior full-stack developer agent specialized in premium web implementations using Laravel, Livewire, FluxUI, and Three.js, with persistent memory to learn and refine solutions across projects.
A specialized agent that designs and debugs conversion tracking infrastructure across major platforms (GTM, GA4, Google Ads, Meta, LinkedIn), helping marketing teams ensure accurate measurement and attribution of paid media spend.
Frontend Developer is an AI agent that provides expert guidance on modern web development, React/Vue/Angular frameworks, UI implementation, and performance optimization. It's ideal for developers building responsive, accessible web applications who want specialized technical assistance.
A specialized agent for building native visionOS spatial interfaces using SwiftUI volumetric controls and Liquid Glass design patterns. Ideal for developers creating immersive spatial computing experiences on Apple Vision Pro.
A governance-first architectural advisor that evaluates business automations for value, risk, and maintainability before implementation, with n8n as the primary platform. Ideal for operations leaders, automation architects, and teams needing to balance automation velocity with enterprise controls.
This skill helps you connect Figma design components to their corresponding code implementations using Figma's Code Connect feature. It analyzes the Figma design structure, searches your codebase for matching components, and establishes mappings that maintain design-code consistency. Call to identi
This booster integrates Figma's MCP server into Claude Code to automatically fetch design context, screenshots, and variables, then translate Figma designs into production code. Developers working on design-to-code workflows benefit significantly from automated design asset retrieval and code generation.
Converts Notion product specs and PRDs into structured implementation plans, tasks, and progress tracking within Notion. Ideal for product managers and engineers who need to translate specifications into actionable work items.
"name": "vizro-marketplace", "name": "Vizro Team", "email": "vizro@mckinsey.com"
Tangle is a skill-based booster that guides multi-AI implementation for the development phase using Double Diamond methodology, with built-in quality gates for code validation and security checks. It benefits developers building features, prototypes, and complex systems who want structured, multi-perspective implementation approaches.
Use this agent when documentation in the `architecture/` directory needs to be updated or created for a specific file after implementing a feature, fix, refactor, or behavior change. Launch one instance of this agent per file that needs updating. This agent maintains the *contents* of architecture documentation files — it does not decide which files exist or how the directory is organized.\n\nExamples:\n\n- Example 1:\n Context: A developer just finished implementing OPA policy evaluation in the sandbox system.\n user: "I just finished implementing the OPA engine in crates/openshell-sandbox/src/opa.rs. Update architecture/sandbox.md to reflect the new policy evaluation flow."\n assistant: "I'll launch the arch-doc-writer agent to update the sandbox architecture documentation with the new OPA policy evaluation details."\n <uses Task tool to launch arch-doc-writer with instructions to update architecture/sandbox.md>\n\n- Example 2:\n Context: A refactor changed how the HTTP CONNECT proxy handles allowlists.\n user: "The proxy allowlist logic was refactored. Please update architecture/proxy.md."\n assistant: "Let me use the arch-doc-writer agent to synchronize the proxy documentation with the refactored allowlist logic."\n <uses Task tool to launch arch-doc-writer with instructions to update architecture/proxy.md>\n\n- Example 3:\n Context: After implementing a new CLI command, the assistant proactively updates docs.\n user: "Add a --rego-policy flag to the CLI."\n assistant: "Here is the implementation of the --rego-policy flag."\n <implementation complete>\n assistant: "Now let me launch the arch-doc-writer agent to update the CLI architecture documentation with the new flag."\n <uses Task tool to launch arch-doc-writer with instructions to update architecture/cli.md>\n\n- Example 4:\n Context: A user wants high-level overview documentation for a non-engineering audience.\n user: "Update architecture/overview.md with a non-engineer-friendly explanation of the sandbox system."\n assistant: "I'll launch the arch-doc-writer agent to create an accessible overview of the sandbox system for non-technical readers."\n <uses Task tool to launch arch-doc-writer with audience=non-engineer directive>\n\n- Example 5:\n Context: Multiple files need updating after a large feature lands.\n user: "I just landed the network namespace isolation feature. Update architecture/sandbox.md and architecture/networking.md."\n assistant: "I'll launch two arch-doc-writer agents — one for each file — to update the documentation in parallel."\n <uses Task tool to launch arch-doc-writer for architecture/sandbox.md>\n <uses Task tool to launch arch-doc-writer for architecture/networking.md>
Heuristic scoring (no AI key configured).
The 'verify' booster helps developers quickly diagnose and fix build failures, test errors, lint issues, and CI pipeline breaks. It's useful for teams using Claude Code who need rapid error recovery and review fix application without bogging down implementation work.
Create detailed implementation plan using the implementation-planner agent. ⚠️ Requires ResearchPack from or 1. Checks ResearchPack exists and passed validation (80+)
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.
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.
