Developer Tools AI Agent Skills
Browse AI agent skills tagged "Developer Tools". Find and install skills, MCP servers, and plugins for your AI coding assistant.
60 listings
Optional: Enable auto-save hooks (new in v2.5.0)
MEMCORD v3.0.2 (mcp server) This privacy-first, self-hosted MCP server helps you organize chat history, summarize messages, search across past chats with AI — and keeps everything secure and fully under your control. Never Lose Context Again Transform your Claude conversations into a searchable, organized knowledge base that grows with you - Core Benefits - Prerequisites - Quick Start - IDE Config
CogmemAi — Cognitive Memory for Claude Code
Claude Code forgets everything between sessions. CogmemAi fixes that. One command. Claude Code remembers your architecture, patterns, decisions, bugs, and preferences — permanently. That's it. The setup wizard verifies your API key, configures Claude Code, and you're ready. Start Claude Code by typing claude and your memories are ready. Don't have an API key yet? Get one free at hifriendbot.com/de
CSV Profile And Sanity Check
Reads a CSV or spreadsheet export without changing it and reports what is in it, including row and column counts, each column's type, blanks, distinct values, numeric ranges, duplicates, mixed formats, odd outliers and case or spacing variants, then lists what to ask the data's owner before anyone uses it.
Maven Tools MCP Server
Dependency intelligence infrastructure for AI assistants and agents working with JVM projects. Traditional upgrade workflow: 1. Google "Spring Boot 2.7 to 3.2 migration guide" (5 minutes) 2. Read 50-page migration docs, cross-reference breaking changes (15 minutes) 3. Check Maven Central for compatible dependency versions (5 minutes) 4. Update pom.xml, compile, fix breaking changes (30 minutes) 5.
Omm Push
Push architecture docs to oh-my-mermaid cloud. Handles login, link, and push workflow with error guidance. Use when the user says "omm push", "push to cloud", "deploy architecture", or "share architecture".
Lucidity MCP 🔍
Clarity in Code, Confidence in Creation Lucidity is a Model Context Protocol (MCP) server designed to enhance the quality of AI-generated code through intelligent, prompt-based analysis. By providing structured guidance to AI coding assistants, Lucidity helps identify and address common quality issues, resulting in cleaner, more maintainable, and more robust code. Before you commit, just ask Lucid
Fact Claim Checker
Reads a draft article, post, newsletter, report or script and lists every claim that needs a source before it is published, sorted by risk, with what kind of source would settle each one. It marks which claims the draft itself already supports, which are plain opinion, and which are risky (numbers, studies, quotes, dates, "first/only/best", cause and effect, claims about people or companies). It does not rule claims true or false from memory.
Skill Portability Check
Checks Agent Skills (SKILL.md folders) for portability and common mistakes with a standard-library Python script, then explains each finding and the fix. It catches frontmatter that strict YAML parsers reject (such as an unquoted colon in the description, which makes tools like npx skills skip the skill), keys other than name and description, bad name format, a description that does not say when to use the skill, vendor tool names and paths, missing fallbacks when a tool or the network is...
MCP Local RAG
Provides score interpretation (< 0.3 good, > 0.5 skip), query optimization, and source naming for query_documents, ingest_file, ingest_data tools. Use this skill when working with RAG, searching documents, ingesting files, saving web content, or handling PDF, HTML, DOCX, TXT, Markdown.
Job Post Decoder
Reads a job post for a job seeker and says in plain words what the job is, which requirements are firm and which are wishes, what the post leaves out (pay, location, hours, team), which phrases are worth a question, and what to ask the recruiter. It quotes the post for everything and never guesses about the employer.
Tech Debt MCP Server
-brightgreen) A Model Context Protocol (MCP) server for analyzing technical debt across multiple programming languages. Designed to integrate with GitHub Copilot and other MCP-compatible tools. - Multi-language support: JavaScript, TypeScript, Python, Java, Swift, Kotlin, Objective-C, C++, C, C, Go, Rust, Ruby, PHP - Comprehensive analysis: Detects various types of tech debt including code quality
Faf MCP
IANA-Registered Format for AI Context · application/vnd.faf+yaml Universal version of claude-faf-mcp — Anthropic-approved MCP server, now compatible with all platforms. AI assistants forget. They misunderstand. They drift. Every new session, every new file, every new developer — AI starts guessing again. Your codebase context leaks away. Yesterday's perfect assistant becomes today's confused inter