LLM Mart Basic

@llm-mart · Joined Jun 2026

0 Followers 0 Reputation 11567 Contributions
ChatGPT Skill markstream-react

Integrate the beta markstream-react renderer into React 18+ or Next.js with correct client/server entrypoints, CSS, streaming state, and component overrides.

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ChatGPT Skill markstream-vue

Integrate markstream-vue into plain Vue 3 with renderer modes, code and DOM choices, streaming state, virtualization, optional peers, and scoped components.

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ChatGPT Skill markstream-vue2

Integrate markstream-vue2 into Vue 2.6 or 2.7 with correct Composition API decisions, CSS, streaming state, optional peers, and scoped overrides.

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ChatGPT Skill mathguard

Math-heavy escalation for n >= 10^6 — Bloom, HyperLogLog, Count-Min, MinHash/LSH, FFT, JL projection, sweep line. Use when classical O(n log n) is the floor and approximate or math wins.

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ChatGPT Skill matplotlib

Matplotlib is Python's foundational visualization library for creating static, animated, and interactive plots.

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ChatGPT Skill maxia

Connect to MAXIA AI-to-AI marketplace on Solana. Discover, buy, sell AI services. Earn USDC. 13 MCP tools, A2A protocol, DeFi yields, sentiment analysis, rug detection.

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ChatGPT Skill memory-forensics

Comprehensive techniques for acquiring, analyzing, and extracting artifacts from memory dumps for incident response and malware analysis.

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ChatGPT Skill memory-systems

Design short-term, long-term, and graph-based memory architectures. Use when building agents that must persist across sessions, needing to maintain entity consistency across conversations, or implementing reasoning over accumulated knowledge.

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ChatGPT Skill mobile-design

(Mobile-First · Touch-First · Platform-Respectful)

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ChatGPT Skill monopoly

MONOPOLY is a Senior System Design Engineer skill for architecting, reviewing, and scaling systems. Triggers on requests involving architecture, databases, scaling, microservices, or infrastructure design. Proactively engages to design resilient backend systems.

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ChatGPT Skill neon-object-storage

S3-compatible object storage that branches with your Neon project, so files and the database stay in sync across every branch. Use when a user wants object storage, a bucket, blob/file storage, or somewhere to put uploads, images, documents, avatars, or user-generated files for t

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ChatGPT Skill neon-postgres

Guides and best practices for working with Neon Serverless Postgres. Covers setup, connection methods, branching, autoscaling, scale-to-zero, read replicas, connection pooling, Neon Auth, and the Neon CLI, MCP server, REST API, TypeScript SDK, and Python SDK. Use when users ask a

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ChatGPT Skill neon-postgres-egress-optimizer

Diagnose and fix excessive Postgres egress (network data transfer) in a codebase. Use when a user mentions high database bills, unexpected data transfer costs, network transfer charges, egress spikes, "why is my Neon bill so high", "database costs jumped", SELECT * optimization,

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ChatGPT Skill nestjs-expert

You are an expert in Nest.js with deep knowledge of enterprise-grade Node.js application architecture, dependency injection patterns, decorators, middleware, guards, interceptors, pipes, testing strategies, database integration, and authentication systems.

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ChatGPT Skill network-101

Configure and test common network services (HTTP, HTTPS, SNMP, SMB) for penetration testing lab environments. Enable hands-on practice with service enumeration, log analysis, and security testing against properly configured target systems.

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ChatGPT Skill network-engineer

Expert network engineer specializing in modern cloud networking, security architectures, and performance optimization.

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ChatGPT Skill notebooklm

Interact with Google NotebookLM to query documentation with Gemini's source-grounded answers. Each question opens a fresh browser session, retrieves the answer exclusively from your uploaded documents, and closes.

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ChatGPT Skill observability-and-instrumentation

Instruments code so production behavior is visible and diagnosable. Use when adding logging, metrics, tracing, or alerting. Use when shipping any feature that runs in production and you need evidence it works. Use when production issues are reported but you can't tell what happen

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ChatGPT Skill observability-engineer

Build production-ready monitoring, logging, and tracing systems. Implements comprehensive observability strategies, SLI/SLO management, and incident response workflows.

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ChatGPT Skill observability-monitoring-monitor-setup

You are a monitoring and observability expert specializing in implementing comprehensive monitoring solutions. Set up metrics collection, distributed tracing, log aggregation, and create insightful da

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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
How to test an MCP server with MCP Inspector

Use MCP Inspector to connect to local or remote servers, inspect capabilities, call tools, read resources, test prompts, and diagnose failures before release.

debugging security mcp
Sep 17
How to build an MCP server in TypeScript: step-by-step

Build an MCP server in TypeScript with focused tools, validated schemas, local and remote transports, Inspector tests, and production security controls.

security ai mcp
Sep 15
/chain Chain

Run an ad-hoc ordered chain of pm-skills with shared context (ephemeral; routes to the pm-workflow-orchestrator)

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/workflow-customer-discovery Workflow customer discovery

Run the Customer Discovery workflow (research -> JTBD -> opportunities -> problem)

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/workflow-design-sprint Workflow design sprint

Run the Design Sprint workflow (5-day prototype-and-test arc producing a Decider's build/iterate/pivot/stop call)

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/workflow-feature-kickoff Workflow feature kickoff

Run the Feature Kickoff workflow (problem -> hypothesis -> PRD -> stories)

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/workflow-foundation-sprint Workflow foundation sprint

Run the Foundation Sprint workflow (2-day strategic-alignment arc producing a Founding Hypothesis)

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/workflow-foundation-to-design Workflow foundation to design

Run the end-to-end Foundation Sprint + Design Sprint workflow with narrative handoff

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/workflow-post-launch-learning Workflow post launch learning

Run the Post-Launch Learning workflow (instrumentation -> dashboard -> results -> retro -> lessons)

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/workflow-product-strategy Workflow product strategy

Run the Product Strategy workflow (competitive analysis -> stakeholders -> opportunities -> solution -> ADR)

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/workflow-sprint-planning Workflow sprint planning

Run the Sprint Planning workflow (refinement -> stories -> edge cases)

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/workflow-stakeholder-alignment Workflow stakeholder alignment

Run the Stakeholder Alignment workflow (stakeholders -> problem -> solution -> launch)

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/workflow-technical-discovery Workflow technical discovery

Run the Technical Discovery workflow (spike -> ADR -> design rationale)

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/c-one C one

Placeholder command file for the WS-T9 dual-shell parity smoke. No count phrases.

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/minutes-brief Minutes brief

Fast non-interactive briefing before any meeting — auto-detects your next calendar event, pulls relationship history, surfaces open commitments, and produces a one-page brief in under 30 seconds. Use this whenever the user says "brief me", "give me a quick brief", "what's coming up", "background on my next call", "who am I meeting next", "brief me on Sarah", "I have a call in 10 min", "quick rundown", or right before walking into a meeting. Different from /minutes-prep — brief is the fast hook-fireable version that doesn't ask questions and doesn't set goals. Use brief when speed matters; use prep when the user wants to think hard about goals first.

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/minutes-cleanup Minutes cleanup

Manage old recordings — find large files, archive old meetings, delete processed originals. Use when the user says "clean up recordings", "how much space are meetings using", "delete old recordings", "archive meetings", "manage meeting storage", or asks about disk space from minutes.

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/minutes-copilot Minutes copilot

Start and control Minutes Coach, the separate real-time copilot HUD, with an explicit meeting goal. Use only for explicit Coach or HUD lifecycle requests such as "start Minutes Coach", "open the Coach HUD", "pause Minutes Coach", "resume Minutes Coach", "Minutes Coach status", or "stop Minutes Coach". Do not use for requests that explicitly ask the current terminal agent to watch or strategize; those belong to minutes-live-sidekick. An ambiguous request such as "coach me live" requires one short surface clarification and must not automatically start Coach.

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/minutes-debrief Minutes debrief

Post-meeting debrief — analyzes what happened, compares outcomes to your prep intentions, tracks decision evolution. Use when the user says "debrief", "what just happened in that meeting", "what did we decide", "debrief that call", "post-meeting", "what changed", or right after stopping a recording.

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/minutes-graph Minutes graph

Policy-safe relationship rankings, commitments, aliases, person profiles, and topic research. Always use Minutes' bounded native CLI surfaces; never build or read a durable graph cache.

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/minutes-ideas Minutes ideas

Surface recent voice memos and ideas captured from any device. Use when the user asks "what ideas did I have?", "what were my recent memos?", "what did I record while walking?", or wants to recall a captured thought.

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/minutes-ingest Minutes ingest

Extract facts from meetings and update your knowledge base — person profiles, chronological log, and index. Use when the user asks "ingest my meetings", "update my knowledge base", "extract facts from meetings", "sync meetings to wiki", "backfill knowledge", or wants their PARA/Obsidian/wiki profiles updated from conversation data.

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/minutes-lint Minutes lint

Health-check your meeting knowledge for contradictions, stale commitments, and decision conflicts. Use when the user asks "any conflicts in my meetings", "check for stale action items", "lint my meetings", "consistency check", "are there contradictions", or wants to audit their decision history.

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Siyuan

An open-source, privacy-first, self-hosted knowledge workspace where humans and AI agents work together 开源、隐私优先、自托管的知识工作空间,让人与智能体在此协作

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Cua

Scale computer-use 2.0 with open-source drivers, cross-OS fleets, and benchmarks for training, evaluation, and data generation.

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Wigolo

The go-to web for your AI coding agent — local-first search, fetch, crawl & research over MCP. No API keys, no cloud, $0/query. Public beta.

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Llm Docs Builder

Transform and optimize your markdown documentation for Large Language Models (LLMs) and RAG systems. Generate llms.txt automatically.

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Zhouli Translator

合乎周礼:DeepSeek-powered Zhouli-style Chinese translator, web app, and distributable Skill package.

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Warden

This is a fork of the https://dockbox.dev project I made

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Best Of Agent Harnesses

🏆 Curated, ranked list of AI agent harnesses (100+) — plus an MCP server, llms.txt & JSON so agents can recommend them too. Rescored weekly.

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Skillware

A Python framework for modular, self-contained skill management for machines.

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Adhd

ADHD — a skill for coding agents. Tree-of-thought with pruning, built on the Claude & Codex Agent SDK. Fans out parallel divergent thoughts under different cogn…

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ArcReel

AI Agent 驱动的开源可自部署视频工作台:将小说与剧本转为角色、场景、道具资产、分镜、视频和剪映草稿,支持跨镜头一致性、多供应商与费用追踪 | Self-hosted AI video workspace for stories, storyboards and short-form video producti…

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Dsh Desktop

DeepSeek Harness Desktop App: a local AI desktop workspace for DSH Sessions, projects, files, web research, plugins, and Office artifacts.

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Cybermes

Autonomous Offensive Security, Bug Bounty & Red Teaming Agent Framework powered by Hermes Agent, specialized reasoning skills, and multi-model LLM orchestration…

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Oh My Pi

⌥ Coding agent with the IDE wired in

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Mcpproxy Go

Supercharge AI Agents, Safely

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X Twitter Scraper

X (Twitter) Scraper API and X API Alternative. You do not need an official X developer account. You do not need to connect or use an X account for supported scr…

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Sutando

My AI Stand. Realtime by day, rewriting itself by night. Summon my AI superpower.

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CodeWhale

Open-source coding agent for your terminal, built in Rust and on a journey of continuous community improvement. Issues and PRs welcome.

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Guanlan

观澜 / Guanlan:AI Agent 的中文互联网研究、阅读与信源路由工具。

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Agent

Mac Agent for macOS 26: the agentic AI harness for your Mac Desktop. Computer use, automation, scripting, coding, and more. Powered by 18+ providers across loca…

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Sem

Semantic version control => entity-level diffs, blame, and impact analysis on top of git. 28 languages via tree-sitter. Built for coding agents.

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