data-structure-protocol
About
This skill provides agents with persistent structural memory of a codebase by creating a queryable graph in a `.dsp/` directory. It captures meaning, boundaries, and connection reasons so agents can navigate dependencies and understand APIs without re-reading the entire repository. Use it to improve agent efficiency on large codebases by reducing orientation overhead during refactoring and code generation tasks.
Quick Install
Claude Code
Recommendednpx skills add sickn33/antigravity-awesome-skills -a claude-code/plugin add https://github.com/sickn33/antigravity-awesome-skillsgit clone https://github.com/sickn33/antigravity-awesome-skills.git ~/.claude/skills/data-structure-protocolCopy and paste this command in Claude Code to install this skill
GitHub Repository
Frequently asked questions
What is the data-structure-protocol skill?
data-structure-protocol is a Claude Skill by sickn33. Skills package instructions and resources that Claude loads on demand, so Claude can perform data-structure-protocol-related tasks without extra prompting.
How do I install data-structure-protocol?
Use the install commands on this page: add data-structure-protocol to Claude Code as a plugin, or clone its repository into your skills directory, then restart Claude so it picks up the skill.
What category does data-structure-protocol belong to?
data-structure-protocol is in the Development category, tagged api and data.
Is data-structure-protocol free to use?
Yes. data-structure-protocol is listed on AIMCP and free to install. It runs inside Claude, so no separate service account is required to use the skill itself.
Related Skills
qmd 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.
This 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.
The 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.
This 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.