Ai Coding AI Agent Skills

AI Engine Optimization - semantic triples, page templates, content clusters for AI citations

A structural codebase indexer with an MCP server for AI-assisted development. Zero runtime dependencies — uses Python's ast module for Python analysis and regex-based parsing for TypeScript/JS, Go, and Rust. Requires Python 3.11+. Indexes codebases by parsing source files into structural metadata -- functions, classes, imports, dependency graphs, and cross-file call chains -- then exposes 18 query

:rocket: Serena is a powerful coding agent toolkit capable of turning an LLM into a fully-featured agent that works directly on your codebase. Unlike most other tools, it is not tied to an LLM, framework or an interface, making it easy to use it in a variety of ways. :wrench: Serena provides essential semantic code retrieval and editing tools that are akin to an IDE's capabilities, extracting code

Update properties or content across many pages in a Notion database with dry-run and error recovery

Find emails needing follow-up -- unanswered sent emails, flagged unreplied, draft contextual responses

Transform ideas into executable development plans — an MCP server that brings the ClaudeCode-DevPlanBuilder methodology to Claude Code. Or add to ~/.claude.json under the mcpServers key: If you already have DevPlan installed, remove from both scopes and re-add: That's it. DevPlan will guide Claude through the entire process. DevPlan uses a scaffold → enhance → validate workflow that ensures every

Your AI keeps breaking things you told it not to touch. SpecLock makes it stop. Website · npm · Smithery · GitHub Developed by Sandeep Roy · Free & Open Source (MIT License) 100/100 on Claude's independent test suite. 929 tests across 18 suites. 0 false positives. 15.7ms per check. Gemini Flash hybrid, Spec Compiler, Code Graph, Typed Constraints, Python SDK, ROS2 integration. That's it. One c

AI-assisted coding is transforming how software gets built. But the data tells a sobering story: - 1.7x more bugs in AI-generated code compared to human-written code (CodeRabbit, 2025) - 40% of AI-generated code contains security vulnerabilities - 2026 is "the year of technical debt from vibe coding" (Forrester) The root cause is not the AI. It is the absence of engineering discipline between sess

Compose and post formatted content to a Telegram channel -- MarkdownV2 escaping, message splitting, media ordering