LLM Mart Basic

Use when "launch plan", "go-to-market", "GTM strategy", "how to launch", "launch checklist", "growth plan", or product is built and needs distribution strategy. Do NOT use for content generation (/content-gen) or SEO audit (/seo-audit).

Use when "privacy policy", "terms of service", "legal pages", "GDPR", "CCPA", "app store legal", or project needs compliance documents. Do NOT use for NDA or contracts.

Use when "audit memory", "check CLAUDE.md", "memory map", "rules audit", "context budget", "what loads in my session", or need to optimize agent context loading.

Use when "set up metrics", "track KPIs", "PostHog events", "funnel analysis", "when to kill or scale", "success metrics", or need analytics plan. Do NOT use for SEO metrics (/seo-audit).

Take a trained neural model to devices — ONNX export, int8 quantization, Core ML conversion, on-device benchmarking, download-on-demand delivery. Use when user says "сожми модель", "quantize the model", "convert to Core ML / ONNX", "model is too big for the app", "run the model o

Use when "run pipeline", "automate research to PRD", "full pipeline", "research and validate", "scaffold to build", "loop until done", "chain skills", or need multi-skill automation. Do NOT use for single skills (use the skill directly).

Use when "plan this feature", "create implementation plan", "write a spec", "battle plan", describing a feature/bug/refactor, or need task breakdown before building. Do NOT use for idea validation (/validate) or execution (/build).

Use when "reddit comment", "engage reddit", "build karma", "post to reddit", or need to participate in Reddit threads. NOT for thread discovery (/community-outreach) or social copy (/content-gen).

Use when "research this idea", "find competitors", "check the market", "domain availability", "market size", "analyze opportunity", or need evidence before validation. Do NOT use for idea scoring (/validate) or SEO auditing (/seo-audit).

Use when "retro", "evaluate pipeline", "what went wrong", "pipeline review", "check pipeline logs", or after pipeline completes and needs quality assessment.

Use when "review code", "quality check", "is it ready to ship", "final review", or after /build or /deploy completes. Do NOT use for planning (/plan) or building (/build).

Use when "scaffold project", "create new project", "start new app", "bootstrap project", "set up from PRD", or need project from PRD + stack template. Do NOT use for planning features (/plan) or PRD generation (/validate).

Use when "check SEO", "audit this page", "SEO score", "check meta tags", "SERP position", or need website SEO health check. Do NOT use for landing content (/landing-gen) or social media posts (/content-gen).

Use when "set up workflow", "configure TDD", "wire up dev workflow", or after /scaffold before /plan to generate workflow config. Do NOT use for founder setup (/init) or scaffolding (/scaffold).

Use when "design schemas", "structured output", "agent loop", "SGR", "constrained decoding", "tool dispatch", "Pydantic schema for LLM", or need to design a schema-guided reasoning pipeline for an agent or API. Do NOT use for general code review (/review) or planning (/plan).

Use when "audit skill", "review skill quality", "check skill", "skill score", "skill checklist", "is this skill good", or evaluating skill against best practices. Do NOT use for KB audits (/audit) or code review (/review).

Use when "help me decide", "should I do this", "evaluate decision", "STREAM analysis", "run decision framework", "pros and cons", or facing a high-stakes founder choice. Do NOT use for idea validation with PRD (/validate).

Use when "swarm research", "parallel research", "investigate fast", "3 agents", "team research", or want faster multi-angle alternative to /research. Do NOT use for solo research (/research) or idea scoring (/validate).

Build and hold a SwiftUI design system — a 12-column grid, spacing/type/radius/motion scales, surface levels, a component gallery, and the guards that stop it drifting back. Use when the user says "сделай по сетке", "дизайн-система", "разъезжается вёрстка", "магические числа в pa

Use when "validate idea", "score this idea", "should I build this", "go or kill", "generate PRD", "evaluate opportunity", or need idea scoring with PRD output. Do NOT use for deep research (/research first) or decision-only framework (/stream).

Fourteen posts of being wrong in production, compressed to checkboxes

Healthy nodes, a quiet network, 300 restarts in three days, and a latency budget measured in milliseconds

Discovery worked. Ping worked. Every TCP connection timed out, and later the tunnel only worked when someone had a terminal open.

Every VM came back. The cluster did not. Declarative systems converge on config, and the datapath isn't config.

A surprising share of AI-in-the-terminal failures aren't the AI. They're zsh, and a version of bash from 2006.

A Claude Code plugin turns standalone project configuration into a namespaced, installable extension that teams and communities can update as one unit.

None of the safety came from the model. It came from six boring habits.

Skills package instructions and references. Subagents run work in a separate context and return results. They solve different problems and can be composed deliberately.

Six hours in, one step left, everything green, and the incident that didn't happen

CLAUDE.md carries persistent project context. Skills load reusable procedures when relevant. Separating stable facts from task-specific workflows keeps both easier to maintain.

Twenty minutes recovering secrets that never existed, and the one sentence from a human that ended it

An API request routing a model's tool call through an approval gate to a remote MCP server

31 config keys, two audits, and why the first one was wrong in both directions

The official MCP Registry stores standardized server metadata rather than package code. Publishers verify a namespace, describe installation or remote access, and submit immutable versions.

Everyone looks at the Dockerfile. The file that actually leaked the key was the project file.

Remote MCP authorization uses established OAuth standards, but secure integration still requires issuer validation, least-privilege scopes, protected token handling, and server-side enforcement.

"Copy it over and switch the reference" is two steps, and the outage lives in the one nobody checks

stdio fits local processes and prototypes. Streamable HTTP fits hosted services and shared integrations. The right choice follows where the capability runs and who must reach it.

The most important rule wasn't about what I could change. It was about what I was allowed to display.

Tools perform operations, resources expose readable context, and prompts provide reusable templates. Choosing the correct primitive makes an MCP server easier to understand and govern.

> **Usage:** Run before every commit to ensure code quality.

> **Usage:** Validate skill files for correctness, completeness, and quality.

credo - Run the optimisation audit for this repo (opt-in, read-only scan, findings offered one by one)

credo - Start, stop, or check the LAN peer relay (cross-machine peer messaging, no cloud)

Measure a launch film (a reference to match, or your own render) at its native frame rate and review it against its register. Returns the launch-video-review rubric table plus a per-film JSON.

LLM-powered toolkit for skill analysis, AI interviews, resume scoring, and job structuring. Automates professional skill taxonomy and interview processes with a…

【三年面试五年模拟】AIGC/LLM/AI Agent算法工程师面试资源平台。涵盖AIGC、LLM大模型、AI Agent、具身智能、传统深度学习、计算机视觉、自然语言处理、自动驾驶、机器学习、强化学习、大数据挖掘、世界模型、元宇宙、AGI等AI行业面试笔试干货经验与核心跨周期知识。

Easiest and laziest way for building multi-agent LLMs applications.

Drive Claude Code or OpenAI Codex from your phone — resume sessions, stream output, approve tool permissions remotely. End-to-end encrypted, zero-knowledge rela…

MCP server for autonomous agent economies: wallets, signed RTC micropayments, bounty discovery, BoTTube video publishing, and Beacon agent-to-agent messaging. G…

Free, open-source alternative to Microsoft Office with built-in AI agents — Word (.docx), Excel (.xlsx), PowerPoint (.pptx), PDF and Markdown editing for macOS,…

NSE BSE Indian Stock Market Data MCP server — search, screen & analyze all 8,200+ NSE/BSE stocks with 34 tools: live quotes, financials, technicals, 326-ratio s…

全流程 智能招投标 Agent：标书生成 · 招投标解读 · 标书检查 · 标书文档ai排版 · 商机发现 一键完成。 21 项合规检查 · 多模型切换 · RAG 知识库 · OCR 抽取。 从招标公告到可交付 docx 文档，全流程 AI 自动化。

Benzi is AI-native code intelligence infrastructure. Claude Code greps; Cursor embeds; Aider maps signatures; Benzi resolves — and answers in O(1). Every langua…

From ticket to reviewed pull request. Free and open-source, on your machine.

Get web data for AI agents and LLMs - fast, efficient, and reliable with Rust

Open-source, license-free MCP server for RTL waveform debug: reads FST waveforms (VCD/FSDB auto-convert) plus a SystemVerilog netlist, with 34 tools covering dr…

Open-source, desktop-grade AI agent that gets real work done — data analysis, slides, docs, video & web research. Built on OpenClaw; runs tools on your real des…

Parallel, isolated dev environments for humans and AI coding agents. Real containers. Real databases. Zero collisions.

OpenCode goal plugin for Codex-style goal mode, /goal slash commands, persistent objectives, and AI coding agent focus.

Battle-tested skill library for AI agents. Save 98% of API costs with ready-to-use code for crypto, PDFs, search, web scraping & more. No trial-and-error, no ex…

Deep Code 是专为 deepseek-v4 模型优化的终端 AI 编码助手，支持深度思考、推理强度控制以及 Agent Skills。

China Unicom's Yuanjing Wanwu Agent Platform is an enterprise-grade, multi-tenant AI agent development platform. It helps users build applications such as intel…

⚡ CloakBrowser MCP server for AI agents: Playwright-powered browsing, clean tool forwarding, Docker support, and multi-session HTTP transport.

MCP-NixOS - Model Context Protocol Server for NixOS resources