LLM Mart Basic

@llm-mart · Joined Jun 2026

0 Followers 0 Reputation 13039 Contributions
ChatGPT Skill testing-patterns

Jest testing patterns, factory functions, mocking strategies, and TDD workflow. Use when writing unit tests, creating test factories, or following TDD red-green-refactor cycle.

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ChatGPT Skill testng-skill

Generates TestNG tests in Java with groups, data providers, parallel execution, XML suite configuration, and listeners. Use when user mentions "TestNG", "@DataProvider", "testng.xml", "groups". Triggers on: "TestNG", "@DataProvider", "testng.xml", "TestNG suite", "parallel tests

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ChatGPT Skill threat-modeling-expert

Expert in threat modeling methodologies, security architecture review, and risk assessment. Masters STRIDE, PASTA, attack trees, and security requirement extraction. Use PROACTIVELY for security architecture reviews, threat identification, or building secure-by-design systems.

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ChatGPT Skill threejs-animation

Three.js animation - keyframe animation, skeletal animation, morph targets, animation mixing. Use when animating objects, playing GLTF animations, creating procedural motion, or blending animations.

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ChatGPT Skill threejs-fundamentals

Three.js scene setup, cameras, renderer, Object3D hierarchy, coordinate systems. Use when setting up 3D scenes, creating cameras, configuring renderers, managing object hierarchies, or working with transforms.

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ChatGPT Skill threejs-geometry

Three.js geometry creation - built-in shapes, BufferGeometry, custom geometry, instancing. Use when creating 3D shapes, working with vertices, building custom meshes, or optimizing with instanced rendering.

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ChatGPT Skill threejs-interaction

Three.js interaction - raycasting, controls, mouse/touch input, object selection. Use when handling user input, implementing click detection, adding camera controls, or creating interactive 3D experiences.

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ChatGPT Skill threejs-lighting

Three.js lighting - light types, shadows, environment lighting. Use when adding lights, configuring shadows, setting up IBL, or optimizing lighting performance.

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ChatGPT Skill tiktok-automation

Automate TikTok tasks via Rube MCP (Composio): upload/publish videos, post photos, manage content, and view user profiles/stats. Always search tools first for current schemas.

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ChatGPT Skill time-ledger

Natural-language time tracking: parse what the user says they did into Activity/Minutes/Date rows in their own Notion database — asking instead of guessing when unsure.

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ChatGPT Skill tmux

Expert tmux session, window, and pane management for terminal multiplexing, persistent remote workflows, and shell scripting automation.

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ChatGPT Skill to-prd

Turn the current conversation into a PRD and publish it to the project issue tracker — no interview, just synthesis of what you've already discussed.

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ChatGPT Skill tokenwise

Measurement-driven model router for Claude Code. Routes Haiku/Sonnet/Opus per task class, logs every routed task with real $ numbers, and A/B tests cheaper tiers before you trust the savings.

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ChatGPT Skill tool-design

Build tools that agents can use effectively, including architectural reduction patterns. Use when creating new tools for agent systems, debugging tool-related failures or misuse, or optimizing existing tool sets for better agent performance.

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ChatGPT Skill typescript-pro

Master TypeScript with advanced types, generics, and strict type safety. Handles complex type systems, decorators, and enterprise-grade patterns.

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ChatGPT Skill ui-lint

Quick automated lint — detects common design system violations in seconds

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ChatGPT Skill ui-skills

Opinionated, evolving constraints to guide agents when building interfaces

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ChatGPT Skill ux-flow

Design user flows and navigation structure following proven UX patterns

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ChatGPT Skill uxui-principles

Evaluate interfaces against 168 research-backed UX/UI principles, detect antipatterns, and inject UX context into AI coding sessions.

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ChatGPT Skill variant-analysis

Find similar vulnerabilities and bugs across codebases using pattern-based analysis. Use when hunting bug variants, building CodeQL/Semgrep queries, analyzing security vulnerabilities, or performing systematic code audits after finding an initial issue.

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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
/chore Chore

This is the lane for changes with no behavior to test-drive — prose edits, a version bump on an

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/cleanup Cleanup

Use this after a pull request has merged but your local checkout is still on the topic branch.

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/commands Commands

Prints the public command catalog straight from `COMMANDS.md` — the plugin's own single source

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/commit Commit

This is the single entry point for turning staged work into a commit — nothing in codeArbiter

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/conflict Conflict

The protocol for a rule conflict — not a skill route, an orchestrator-level halt. When two sources

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/context-check Context check

An optional, on-demand drift audit for the bypass case: a merge, a direct push, or a manual edit

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/create-context Create context

This is the populator for a project that already has code to read. Instead of interviewing you about

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/debug Debug

This is where an unexplained defect goes before anyone touches code. The investigation is

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/decompose Decompose

This is the populator for a project that has no code yet to read. Rather than guessing at

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/doctor Doctor

Proves the install is actually enforcing, rather than just present. codeArbiter's worst failure

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/feature Feature

This is the standard entry point for new work with a human in the loop at every step. A short

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/fix Fix

This is the entry point for a defect that already has a known cause, or one you can describe

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/init Init

This is how a repository opts into codeArbiter for the first time. It writes the root-level state

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/metrics Metrics

A bare-numbers governance glance — three metrics, each with a trend arrow against the prior

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/override Override

The sanctioned, logged escape hatch. A routine gate — a lint rule, a style check, a non-security

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/pr Pr

Explicit PR entry and a direct request to open a PR use the same branch-finishing owner.

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/preview Preview

A zero-onboarding, read-only dry-run of the reviewer fleet against whatever is currently

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/prune Prune

This is a Feature Forge preview command — the after-each-turn service ships **off** by default and

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/reconcile Reconcile

Compares architectural records with the scaffold and prior decisions using SMARTS.

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/refactor Refactor

This is the lane for moving or reshaping code without changing what it does — a rename, an extract,

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PiG

PiG (Pi in Go) is a faithful Go port of upstream Pi, the TypeScript codebase behind the Pi coding agent. It is a parity-bound translation, not a rewrite: upstre…

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Anythingllm Mobile

An AI Agent that lives in your pocket. Local-first and privacy focused.

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Building With Typesafe Jev

Unofficial skill that teaches coding agents to build with TypeSafe AI's Jev: typed decisions, calibrated confidence, and prior art from 150+ community projects.

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ATLAS

Adaptive Test-time Learning and Autonomous Specialization

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Oracle3

Prediction-market trading engine — Wang Transform pricing on 291K+ contracts; paper-traded across Kalshi · Polymarket · Solana DFlow (Jito bundles) · 633 tests

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Bkmr

Knowledge Management for Humans and Agents

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Openworkbuddy

Open-source Claude Cowork / Codex / WorkBuddy alternative — a local-first AI office agent that turns one request into real PPTX, DOCX, XLSX and HTML files. Runs…

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Deepagent Code

DeepAgent Code: AI coding agent with persistent memory and control plane

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Awesome Jev Live

Awesome Jev — evidence-graded index of TypeSafe System One: SDKs, MCP tools, agents, apps and open models. 20 languages, rebuilt every 2 hours.

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Tlgr

CLI for Telegram — agent-friendly, daemon-based, with webhook event push.

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Deep Research Web Ui

AI deep-research agent that turns any question into a cited report: plans searches, reads real sources, verifies evidence. Self-hosted, multi-provider, Docker-r…

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Cortico

Event-stream AI Agent framework for building your persona bot 🍊

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Coi

Give the agent a machine. Just not yours. Each AI coding agent gets its own isolated machine with root, Docker, and systemd - active defense detects and stops t…

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Emperor Agent

Local Emperor-style AI agent with Vue WebUI, multi-provider LLMs, streaming chat, tools, skills, memory, and token telemetry.

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Open Reverselab

Open-source AI reverse-engineering agent platform and MCP server for Ghidra, Frida, x64dbg and Rizin — automated PE/APK/binary analysis, CTF and malware researc…

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Agent Smith

"Never send a human to do a machine's job" - Open Source AI hacking agent

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PrismerCloud

Prismer Cloud

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Tingdeliu.github.io

My Personal Blog (Robotics)

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Tau

Tau Coding Agent - like Pi, but twice as much

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Open Dots

Open-source alternative to OpenAI Dots: self-hosted AI chat, tools, approvals, connectors, and computer tasks.

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