LLM Mart Basic
@llm-mart · Joined Jun 2026
Expert guide on prompt engineering patterns, best practices, and optimization techniques. Use when user wants to improve prompts, learn prompting strategies, or debug agent behavior.
A comprehensive collection of battle-tested prompts inspired by [awesome-chatgpt-prompts](https://github.com/f/awesome-chatgpt-prompts) and community best practices.
You are a Python project architecture expert specializing in scaffolding production-ready Python applications. Generate complete project structures with modern tooling (uv, FastAPI, Django), type hint (Alias for python-development-python-scaffold)
You are a Python project architecture expert specializing in scaffolding production-ready Python applications. Generate complete project structures with modern tooling (uv, FastAPI, Django), type hint
Python FastAPI backend development with async patterns, SQLAlchemy, Pydantic, authentication, and production API patterns.
Python development principles and decision-making. Framework selection, async patterns, type hints, project structure. Teaches thinking, not copying.
Master Python 3.12+ with modern features, async programming, performance optimization, and production-ready practices. Expert in the latest Python ecosystem including uv, ruff, pydantic, and FastAPI.
Helps an AI agent provide non-judgmental, evidence-informed quit-smoking support with user-consented tracking, craving check-ins, and escalation to human or clinical help. Not medical care.
Expert in building Retrieval-Augmented Generation systems. Masters
Generate React code with Rayden UI components using correct props, tokens, and premium layout patterns
Build and maintain Rayden UI components and screens in Figma via Figma MCP with full design token enforcement
Completely delete and rewrite a file or module from scratch when structural rot makes patching impossible.
Master React version upgrades, class to hooks migration, concurrent features adoption, and codemods for automated transformation.
Modern React patterns and principles. Hooks, composition, performance, TypeScript best practices.
Turn vague research needs into one precise deep-research prompt with context and output criteria.
Monitor portfolio risk, R-multiples, and position limits. Creates hedging strategies, calculates expectancy, and implements stop-losses.
Master Rust async programming with Tokio, async traits, error handling, and concurrent patterns. Use when building async Rust applications, implementing concurrent systems, or debugging async code.
Master Rust 1.75+ with modern async patterns, advanced type system features, and production-ready systems programming.
Patterns for managing distributed transactions and long-running business processes.
This is the core skill for the deep research and writing tool—combining AI-driven deep research with well-formatted written outputs. Every document produced is backed by comprehensive literature search and verified citations through the research-lookup skill.
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.
Use MCP Inspector to connect to local or remote servers, inspect capabilities, call tools, read resources, test prompts, and diagnose failures before release.
Build an MCP server in TypeScript with focused tools, validated schemas, local and remote transports, Inspector tests, and production security controls.
An MCP server exposes tools, resources, or prompts through a standard protocol so an AI application can discover and use external capabilities.
/setup-ci-cd
Setup ci cd
Setup CI/CD pipeline with automated security checks for Solana programs
/setup-mcp
Setup mcp
Configure MCP server API keys in .env
/test-and-fix
Test and fix
Run tests and automatically fix common issues
/test-dotnet
Test dotnet
Run .NET/C# tests for Unity projects and backend services
/test-rust
Test rust
Run Rust tests for Solana programs and backend services
/test-ts
Test ts
Run TypeScript tests for Solana frontends and Anchor programs
/update
Update
Update solana-ai-kit to latest version from upstream
/write-docs
Write docs
Generate documentation for Solana programs, APIs, and components
/README
README
Seventy-two slash commands for Claude Code, grouped by what you are doing.
/aliases
Aliases
Find missing aliases
/archive
Archive
Move cold material out of the wiki
/ask
Ask
Ask a question answered only from the vault
/audit
Audit
Audit what an agent did
/backfill
Backfill
Bulk import an archive in batches
/bridges
Bridges
Find the pages holding the graph together
/changed-my-mind
Changed my mind
What I have revised
/claude-md
Claude md
Build or update your CLAUDE.md
/clusters
Clusters
Show what the vault is actually about
/commit
Commit
Commit the current state with a useful message
/commitments
Commitments
List open commitments
AI assistant in Telegram that remembers everything and helps you run your life. Self-hosted in one command.
10 views 0 likes知更 — 本地 AI 的上下文与记忆层。Mac 上用语音输入、情境代回并调度 Codex / Claude Code;iOS 正在成为随身记忆终端和本地 Agent 遥控器。Local-first · BYOK.
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18 views 0 likesNotion MCP server for Claude, Cursor, ChatGPT & Claude Desktop. Connect AI agents to Notion via Model Context Protocol — pages, databases, blocks, comments, fil…
9 views 0 likesHook-based token compressor for 5 AI CLI hosts (Claude Code, Copilot CLI, OpenCode, Gemini CLI, Codex CLI). Up to 95% bash compression, signature-mode for code…
14 views 0 likesModel-neutral agent desktop/runtime for private, enterprise, and OpenAI-compatible / Anthropic-compatible model API. Tested on DeepSeek, Qwen, Kimi, GLM models.…
9 views 0 likesAI agent skill for end-to-end hotel search and booking—compare live rates across leading OTAs and hotel suppliers, verify availability, book stays, and manage r…
18 views 0 likesMore than just Karpathy’s LLM Wiki, 100% local with Ollama. Drop Markdown notes → AI extracts concepts → your Obsidian wiki auto-links and grows. Zero sharing.…
11 views 0 likesClaude Code Guide - Setup, Commands, workflows, agents, skills & tips-n-tricks from beginner to power user!
19 views 0 likesA magical tool that changes how you use Agents. Install once — every Agent automatically discovers and uses all your MCP tools, and saves your tokens along the…
11 views 0 likesOpen-source 24/7 Cowork app for OpenClaw, Hermes, Claude Code, Codex, OpenCode and 20+ more CLI Agent | Customize your assistants | Team them up|Star if you lik…
19 views 0 likesAgenticX is a unified, production-ready multi-agent platform — Python SDK + CLI (agx) + Studio server + Machi desktop app. Features Meta-Agent orchestration, 15…
13 views 0 likesQuery, provision and operate Cloud, SaaS, API and Model Context Protocol (MCP) resources through a unified SQL-based framework for humans and AI agents.
13 views 0 likesOpen-source AI job search: scan job portals, evaluate listings into a structured A-H report with a global 1-5 score, tailor your CV, track applications — runs l…
12 views 0 likesA self-healing scraper for hostile sites: broken selectors repair themselves, browser rendering kicks in when needed, and a coherent identity layer (Chrome TLS…
11 views 0 likesLightweight AI-native workflow builder for individuals and small teams — describe your idea in natural language, get a runnable workflow on a visual canvas, pub…
18 views 0 likesMinimal AI coding agent (~1,000 lines of Python) inspired by Claude Code. Works with any LLM. Think NanoGPT for coding agents. Formerly NanoCoder.
22 views 0 likes