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.
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.
Treat an AI agent skill as both an instruction package and a software dependency: inspect what it says, what it runs, what it can access, and how it updates.
/attach
Attach
`crabbox attach` follows the recorded events of an active coordinator run and
/azure
Azure
`crabbox azure` groups Azure provider setup commands. It currently has a single
/bench
Bench
`crabbox bench` records and reports local benchmark timing observations. It is a
/cache
Cache
`crabbox cache` inspects, purges, or warms package and build caches on a
/capsule
Capsule
`crabbox capsule` captures, replays, and tracks lightweight failure capsules.
/checkpoint
Checkpoint
Save the state of a lease, then restore it onto another box or fork it into a
/claims
Claims
`crabbox claims list` prints the lease claims stored on the current machine. It
/cleanup
Cleanup
`crabbox cleanup` sweeps direct-provider machines and local provider state that
/code
Code
`crabbox code` bridges a Linux lease's `code-server` workspace into the
/config
Config
`crabbox config` inspects and updates user configuration. It has three
/connect
Connect
`crabbox connect` resolves a lease and opens an interactive SSH session to it.
/cp
Cp
`crabbox cp` copies files or directories between the host and a Crabbox-owned
/desktop
Desktop
`crabbox desktop` drives a visible desktop session on a lease that was warmed
/doctor
Doctor
`crabbox doctor` runs a preflight before you commit to a long workflow. It is
/egress
Egress
`crabbox egress` gives a lease mediated outbound network: a lease-local browser
/events
Events
`crabbox events` prints the broker's event log for a recorded run.
/heartbeat
Heartbeat
`crabbox heartbeat` refreshes the idle deadline for one owned lease and prints
/history
History
`crabbox history` lists recorded remote command runs from the broker. Each run is
/image
Image
`crabbox image` holds the trusted-operator controls for provider base images:
/init
Init
`crabbox init` onboards the current repository: it writes the minimal config
Paper trading simulator for Polymarket — built for AI agents. MCP server, live order books, strategy backtesting. Install: npx clawhub install polymarket-paper-…
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0 views 0 likesGive your AI agent a real browser — with a human in the loop. Open-source MCP-native browser agent.
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3 views 0 likesRemote control for Claude Code, Codex, Grok, and Cursor on Mac or PC. View sessions, send tasks, and drive them remotely from your phone, PIN, or Ring. OpenClaw…
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1 views 0 likesProfessional cloud architecture diagrams with official AWS, Azure and GCP icons, from Terraform code or a plain JSON graph. MCP server + agent skill.
1 views 0 likesA ready-to-use self-growing desktop AI assistant for long-running tasks, memory, agents, tool reviews, MCP, and high-concurrency workspace automation. / 开箱即用的自我…
2 views 0 likesCollection of templates using the Alchemyst AI Platform for your next big AI app.
1 views 0 likesFast, exact LLM decoding on Apple Silicon (MLX) behind an OpenAI-compatible endpoint
1 views 0 likesThe open source AI research agent.
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