LLM Mart Basic

@llm-mart · Joined Jun 2026

0 Followers 0 Reputation 13128 Contributions
ChatGPT Skill blueprint

Turn a one-line objective into a step-by-step construction plan any coding agent can execute cold. Each step has a self-contained context brief — a fresh agent in a new session can pick up any step without reading prior steps.

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ChatGPT Skill brainstorming

Use before creative or constructive work (features, architecture, behavior). Transforms vague ideas into validated designs through disciplined reasoning and collaboration.

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ChatGPT Skill bug-hunter

Systematically finds and fixes bugs using proven debugging techniques. Traces from symptoms to root cause, implements fixes, and prevents regression.

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ChatGPT Skill c-pro

Write efficient C code with proper memory management, pointer

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ChatGPT Skill c4-architecture-c4-architecture

Generate comprehensive C4 architecture documentation for an existing repository/codebase using a bottom-up analysis approach.

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ChatGPT Skill c4-code

Expert C4 Code-level documentation specialist. Analyzes code directories to create comprehensive C4 code-level documentation including function signatures, arguments, dependencies, and code structure.

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ChatGPT Skill cc-skill-coding-standards

Universal coding standards, best practices, and patterns for TypeScript, JavaScript, React, and Node.js development.

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ChatGPT Skill cc-skill-frontend-patterns

Frontend development patterns for React, Next.js, state management, performance optimization, and UI best practices.

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ChatGPT Skill ci-cd-and-automation

Automates CI/CD pipeline setup. Use when setting up or modifying build and deployment pipelines. Use when you need to automate quality gates, configure test runners in CI, or establish deployment strategies.

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ChatGPT Skill clean-code

This skill embodies the principles of "Clean Code" by Robert C. Martin (Uncle Bob). Use it to transform "code that works" into "code that is clean."

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ChatGPT Skill cloud-architect

Expert cloud architect specializing in AWS/Azure/GCP multi-cloud infrastructure design, advanced IaC (Terraform/OpenTofu/CDK), FinOps cost optimization, and modern architectural patterns.

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ChatGPT Skill cloud-devops

Cloud infrastructure and DevOps workflow covering AWS, Azure, GCP, Kubernetes, Terraform, CI/CD, monitoring, and cloud-native development.

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ChatGPT Skill cloud-penetration-testing

Conduct comprehensive security assessments of cloud infrastructure across Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP).

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ChatGPT Skill coda-automation

Automate Coda tasks via Rube MCP (Composio): manage docs, pages, tables, rows, formulas, permissions, and publishing. Always search tools first for current schemas.

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ChatGPT Skill code-polish

Rewrites unprofessional code comments into clear ones and performs non-semantic cleanup. Use to professionalize code without altering logic or behavior.

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ChatGPT Skill code-reviewer

Elite code review expert specializing in modern AI-powered code

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ChatGPT Skill code-simplification

Simplifies code for clarity. Use when refactoring code for clarity without changing behavior. Use when code works but is harder to read, maintain, or extend than it should be. Use when reviewing code that has accumulated unnecessary complexity.

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ChatGPT Skill code-simplifier

Simplifies and refines code for clarity, consistency, and maintainability while preserving all functionality. Use when asked to "simplify code", "clean up code", "refactor for clarity", "improve readability", or review recently modified code for elegance. Focuses on project-speci

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ChatGPT Skill codebase-design

Shared vocabulary for designing deep modules. Use when the user wants to design or improve a module's interface, find deepening opportunities, decide where a seam goes, make code more testable or AI-navigable, or when another skill needs the deep-module vocabulary.

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ChatGPT Skill commit

ALWAYS use this skill when committing code changes — never commit directly without it. Creates commits following Sentry conventions with proper conventional commit format and issue references. Trigger on any commit, git commit, save changes, or commit message task.

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The AI-in-production safety playbook

Fourteen posts of being wrong in production, compressed to checkboxes

security prompt-engineering devops ai
Sep 30
The control plane was flapping because of a spinning disk

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

kubernetes sre incident-response observability
Sep 29
The overlay that pinged but wouldn't carry TCP

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

containers incident-response networking linux
Sep 28
Bringing a cluster back after the host rebooted

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

kubernetes sre containers incident-response
Sep 27
The agent is running in *your* shell

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

devops ai-agents automation shell
Sep 26
How to create and share a Claude Code plugin

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

agents security skill-md claude-code
Sep 25
The scaffolding that made it safe

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

git devops ai-agents claude-code
Sep 25
Claude Code skills vs. subagents: when to use each

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

agent-skills claude-code context
Sep 24
Knowing when to stop

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

prompt-engineering ai ai-agents sre
Sep 24
CLAUDE.md vs. skills: where should Claude Code instructions live?

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

agent-skills claude-skills configuration context
Sep 23
Those are the other app's keys

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

security devops ai ai-agents
Sep 23
How to use remote MCP servers with the OpenAI Responses API

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

security mcp integrations open-api
Sep 22
The coverage audit before you delete the safety net

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

security devops ai-agents secrets-management
Sep 22
How to publish an MCP server to the official MCP Registry

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.

security mcp
Sep 21
Rotating a leaked credential, in the right order

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

security devops ai-agents containers
Sep 21
MCP authentication explained: OAuth, scopes, and safe token handling

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

security mcp
Sep 20
Byte-identical or bust

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

security kubernetes verification
Sep 20
MCP stdio vs. Streamable HTTP: which transport should you use?

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.

security mcp
Sep 19
Never let the AI print a secret

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

security kubernetes devops ai-agents
Sep 19
MCP tools vs. resources vs. prompts: when to use each

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.

security mcp
Sep 18
/rollback-deploy Rollback deploy

Rollback deployment to previous version

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/rsi Rsi

Read project commands and documentation to optimize AI-assisted development process

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/run-ci Run ci

Run CI checks and fix any errors until all tests pass

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/security-audit Security audit

Perform comprehensive security assessment

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/security-hardening Security hardening

Harden application security configuration

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/session-learning-capture Session learning capture

Capture and document session learnings

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/setup-automated-releases Setup automated releases

Setup automated release workflows

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/setup-cdn-optimization Setup cdn optimization

Configure CDN for optimal delivery

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/setup-comprehensive-testing Setup comprehensive testing

Setup complete testing infrastructure

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/setup-development-environment Setup development environment

Setup complete development environment

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/setup-formatting Setup formatting

Configure code formatting tools

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/setup-kubernetes-deployment Setup kubernetes deployment

Configure Kubernetes deployment manifests

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/setup-linting Setup linting

Setup code linting and quality tools

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/setup-load-testing Setup load testing

Configure load and performance testing

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/setup-monitoring-observability Setup monitoring observability

Setup monitoring and observability tools

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/setup-monorepo Setup monorepo

Configure monorepo project structure

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/setup-rate-limiting Setup rate limiting

Implement API rate limiting

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/setup-visual-testing Setup visual testing

Setup visual regression testing

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/share-your-story Share your story

Open the Build with Claude contribution guide for writing a community story

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/simulation-calibrator Simulation calibrator

Test and refine simulation accuracy with validation loops, bias detection, and continuous improvement frameworks.

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MovieClaw

Open-source, self-hosted AI media server. One server replaces your entire media stack, with a web app, native iPhone app, and an AI agent that gets things done.…

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Awesome Jev Tools

A curated list of tools built for Jev — TypeSafe AI's System One model for typed decisions.

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Crayotter

🦦 Crayotter: A Multimodal AI-Agent for Video-Editing, Video-Composing, and Video Production. Powered by Multimodal LLMs for autonomous Text-to-Video agentic fr…

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OdooTerminal

Webextension tool for Odoo

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Wechat Mac Rpa

基于多模态视觉感知与 LLM Agent 的 macOS 微信自动化框架 | Visual RPA for WeChat

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Pi Harness

The operational superset of Pi Coding Agent — everything Pi, plus observability, governance, recovery, evaluation and multi-agent orchestration. Pi Coding Agent…

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Metrik

Metrik 可以集中查看本机多个 Agent 的配额余量和 Token 消耗,目前支持 ChatGPT、Claude、GLM、Kimi 等主流 AI 服务。

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LISA

An AI agent with a real self — soul she wrote, desires that drive her, a heartbeat for autonomous action, dreams she processes when you're away. Capability supe…

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Easy Agent

Production-ready open source terminal coding agent with readable, layered code: permission rules, OS sandboxing, MCP, skills, sub-agents, and Anthropic, OpenAI-…

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Answer Me With Html

Answer me with HTML — an agent skill that answers hard questions with a one-page HTML you can actually read. 让 AI Agent 用一页 HTML 回答复杂问题。

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Awesome Latex Skills

Prompt packs that make any AI agent a LaTeX expert — fix errors, polish writing, format for venues, read papers, recover source

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Cc Tree

Claude Code plugin: universal radial-tree exploration engine. One tree skill + swappable presets (brainstorm / attack / design / code-audit) for divergent ideat…

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AI Coding Guide Zh

Claude Code + OpenClaw + Codex + WorkBuddy 中文教程 | 50篇完整教程 + 1张速查卡 | 80万+内容量 | 1500+实操示例 | AI Coding / Agent 四线学习路径(编程+助手+Agent+办公)

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OmniTag Forge

SmartLabelBench 2026: LLM-Powered Auto Annotation and Dataset Builder for Everything

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Awesome Openclaw Tutorial

从零开始玩转OpenClaw:最全面的中文教程,涵盖安装、配置、实战案例和避坑指南(github版)

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