15,549 mods in this category, of every kind an
agent can take. Each one carries what it costs per session, what the
scan found, and whether it is the original.
Lets the agent inspect and automate a live Chrome instance through the DevTools protocol: performance traces, network, console. Runs locally from the chrome-devtools-mcp npm package.
Build, flash/download, and debug STM32CubeIDE firmware safely using project-local memory, generated makefiles, STM32 Programmer CLI, ST-LINK/SWD, serial tools, and runtime verification. Use when working with STM32CubeIDE projects, .ioc/.cproject files, STM32 firmware compile/build/download/flash tasks, Debug/Release…
Use when Codex needs to read, analyze, fix, verify, or write back ZenTao bugs through zentao MCP tools. Trigger for requests that mention a ZenTao Bug ID, ZenTao defect fixing, Bug attachments, my work lists, product/project/execution Bug lists, REST v1 ZenTao routes, or safe assign/resolve/close/writeback actions…
Optimize functions by generating and analyzing compiler assembly output. Use when asked to optimize a function, analyze generated assembly, or improve performance by examining what the compiler produces.
Write helpful, actionable error messages instead of vague ones. Use this skill when writing error handling code, throw/raise statements, logging errors, or reviewing error messages. Triggers on tasks involving try/catch blocks, error responses, validation errors, API error handling, or any code that produces…
Web performance engineer focused on Core Web Vitals, loading, rendering, and network optimization. Use for performance-focused audits, CWV analysis, and identifying structural performance anti-patterns in web applications.
A software architecture review workflow that scans a codebase for structural risks and measures code quality. It checks issues such as overly complex code, repeated knowledge, changes spreading across many files, circular dependencies, and distorted domain models.
A troubleshooting guide for analysing alerts from monitoring systems. It connects alerts with affected services, computers, logs, performance data, request traces, and recent changes to help identify likely causes.
A MCP tool that builds Android project and send error back. It also helps to run test and feed the error back to llm. Runs locally from the mcpandroidbuild Python package.
★not rated 5 1y agoA
tokens not measured
originalMIT
CLI tool to analyze V8 .cpuprofile files and Chrome Performance traces and print top functions by self-time or total-time in the terminal. ALWAYS load this skill when CPU profiling JavaScript or TypeScript programs (Node, Vitest, Bun, Chrome DevTools exports, Cloudflare Workers startup or request CPU). It shows how to…
Frida 17 JavaScript API compatibility checker and fixer. Use when writing, reviewing, or fixing Frida scripts, especially when migrating from older Frida versions. Detects deprecated APIs removed in Frida 17 (May 2025) and provides correct replacements. Covers Module, Memory, Process APIs and common naming conflicts.
Fix Temporal Cloud connection, auth, and config problems. Use when users hit login failures, can't connect to Cloud, get x509/TLS errors, have namespace or endpoint mismatches, paste broken SDK connection snippets, are confused about which endpoint to use, see "no pollers" or RESOURCEEXHAUSTED, struggle with…
Run and analyze TypeScript compiler traces using --generateTrace. Identifies slow type-checking operations, maps them to source code, and suggests concrete fixes. Use when users mention slow tsc builds, TypeScript performance, type-checking bottlenecks, or compilation speed.
An MCP server that bridges to multiple OpenAI-compatible LLMs - your AI rubber duck debugging panel. Runs locally from the mcp-rubber-duck npm package. Needs 4 environment variables to run.
Lightweight code intelligence engine for AI agents. Dependency mapping, blast radius analysis, and call graph via MCP. Runs locally from the recon-mcp npm package.
★not rated 5 4mo agoA
tokens not measured
originalMIT
Fledgling gives you structured, token-efficient access to the codebase you're working in. Instead of reading raw files and guessing at structure, you get targeted tools backed by SQL macros and real parsers (AST for code, markdown parser for docs, git for history).
You are a Python programming assistant. You will be given a function implementation and a series of unit test results. Your goal is to write a few sentences to explain why your implementation is wrong, as indicated by the tests. You will need this as guidance when you try again later. Only provide the few sentence…
Evidence-first local MCP server and CLI for codebase discovery, search, and source-backed tracing adapters. Runs locally from the project-context-mcp npm package.
★not rated 5 1mo agoA
tokens not measured
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: