implement-sonnet
About
The implement-sonnet skill executes approved implementation plans by writing clean, tested code using the Sonnet model for efficiency. It maintains full context access to project files and follows established coding standards while utilizing tools like Read, Write, Edit, and Bash. Use this skill when you need to convert refined technical plans into production-ready code within a multi-AI pipeline.
Quick Install
Claude Code
Recommendednpx skills add cskwork/llm-review -a claude-code/plugin add https://github.com/cskwork/llm-reviewgit clone https://github.com/cskwork/llm-review.git ~/.claude/skills/implement-sonnetCopy and paste this command in Claude Code to install this skill
GitHub Repository
Related Skills
qmd
Developmentqmd is a local search and indexing CLI tool that enables developers to index and search through local files using hybrid search combining BM25, vector embeddings, and reranking. It supports both command-line usage and MCP (Model Context Protocol) mode for integration with Claude. The tool uses Ollama for embeddings and stores indexes locally, making it ideal for searching documentation or codebases directly from the terminal.
subagent-driven-development
DevelopmentThis skill executes implementation plans by dispatching a fresh subagent for each independent task, with code review between tasks. It enables fast iteration while maintaining quality gates through this review process. Use it when working on mostly independent tasks within the same session to ensure continuous progress with built-in quality checks.
mcporter
DevelopmentThe mcporter skill enables developers to manage and call Model Context Protocol (MCP) servers directly from Claude. It provides commands to list available servers, call their tools with arguments, and handle authentication and daemon lifecycle. Use this skill for integrating and testing MCP server functionality in your development workflow.
adk-deployment-specialist
DevelopmentThis skill deploys and orchestrates Vertex AI ADK agents using A2A protocol, managing AgentCard discovery, task submission, and supporting tools like Code Execution Sandbox and Memory Bank. It enables building multi-agent systems with sequential, parallel, or loop orchestration patterns in Python, Java, or Go. Use it when asked to deploy ADK agents or orchestrate agent workflows on Google Cloud.