LLM Mart Basic

@llm-mart · Joined Jun 2026

0 Followers 0 Reputation 11196 Contributions
ChatGPT Skill data-scientist

Expert data scientist for advanced analytics, machine learning, and statistical modeling. Handles complex data analysis, predictive modeling, and business intelligence.

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ChatGPT Skill deep-research

Run autonomous research tasks that plan, search, read, and synthesize information into comprehensive reports.

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ChatGPT Skill defuddle

Extract clean markdown content from web pages using Defuddle CLI, removing clutter and navigation to save tokens. Use instead of WebFetch when the user provides a URL to read or analyze, for online documentation, articles, blog posts, or any standard web page.

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ChatGPT Skill design-md

Analyze Stitch projects and synthesize a semantic design system into DESIGN.md files

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ChatGPT Skill design-orchestration

Orchestrates design workflows by routing work through brainstorming, multi-agent review, and execution readiness in the correct order.

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ChatGPT Skill design-philosophy

Visual philosophy and art-direction for frontend. Use when creating high-concept work, campaigns, or when the user asks for a visual philosophy, manifesto, or unmistakable art-like aesthetic.

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ChatGPT Skill design-spatial

Design — spatial composition

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ChatGPT Skill design-system

Mechanical implementation invariants for frontend design: token architecture, typography hierarchy, loading order, FOUT prevention, chrome stability, motion timing, color semantics. Use with design when building components, pages, or design systems. (Aesthetic direction lives in.

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ChatGPT Skill design-taste-frontend

Use when building high-agency frontend interfaces with strict design taste, calibrated color, responsive layout, and motion rules.

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ChatGPT Skill design-thinking

Direction and intent for frontend design. Use with design when defining purpose, tone, domain, color world, and review bar; includes cross-domain lens from cinema, architecture, marketing, UX, automotive, industrial design.

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ChatGPT Skill deterministic-design

Render the UI and prove it's balanced + usable: a deterministic layout audit (centroid / optical-center / pixel-oracle balance via explicit math + annotated screenshot) plus a vision-judged Nielsen usability audit by a separate fresh-eyes judge. The measurement layer taste-only d

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ChatGPT Skill devcontainer-setup

Creates devcontainers with Claude Code, language-specific tooling (Python/Node/Rust/Go), and persistent volumes. Use when adding devcontainer support to a project, setting up isolated development environments, or configuring sandboxed Claude Code workspaces.

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ChatGPT Skill developer-advocacy

When the user wants to do developer advocacy activities including conference talks, live coding, podcasts, and building in public. Trigger phrases include "developer advocacy," "devrel," "conference talk," "CFP," "call for papers," "live coding," "podcast," "building in public,".

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ChatGPT Skill developer-churn

When the user wants to understand, reduce, or recover from developer churn. Trigger phrases include "why developers leave," "churn rate," "win-back campaign," "at-risk users," "developer retention," "preventing churn," or "competitor switching."

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ChatGPT Skill devops-deploy

DevOps e deploy de aplicacoes — Docker, CI/CD com GitHub Actions, AWS Lambda, SAM, Terraform, infraestrutura como codigo e monitoramento.

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ChatGPT Skill doc2math

Convert narrative technical documents into grounded Mathematical Problem Specifications with variables, constraints, objectives, and uncertainty.

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ChatGPT Skill docs-architect

Creates comprehensive technical documentation from existing codebases. Analyzes architecture, design patterns, and implementation details to produce long-form technical manuals and ebooks.

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ChatGPT Skill docs-guard

Review generated or changed documentation before it ships, including READMEs, API references, docstrings, changelogs, tutorials, and documentation sites.

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ChatGPT Skill documentation

Documentation generation workflow covering API docs, architecture docs, README files, code comments, and technical writing.

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ChatGPT Skill documentation-and-adrs

Records decisions and documentation. Use when making architectural decisions, changing public APIs, shipping features, or when you need to record context that future engineers and agents will need to understand the codebase.

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Claude skills vs. connectors vs. plugins: what is the difference?

Skills teach Claude a repeatable method, connectors provide governed access to apps and live data, and plugins package related capabilities for installation and sharing.

ai ai-agents ai-agent-skills claude-skills
Sep 8
AI agent skills vs. MCP servers: which should you build?

Use an agent skill to package reusable know-how and workflow instructions. Use an MCP server when an agent needs live, governed access to external data or actions.

agents agent-skills mcp integrations
Sep 4
Claude Code skills vs. slash commands: what changed

Custom commands and skills can both create a slash-invoked workflow in Claude Code. The important choice is how the workflow is discovered, shared, and permissioned.

workflows agent-skills claude-code commands
Sep 3
10 best Claude skills for developers in 2026

A useful Claude skill solves one recurring engineering job, is easy to inspect, and saves more time than it creates in setup and review.

coding workflows agent-skills claude-code
Sep 2
How to install Claude skills in Claude and Claude Code

Claude skills can live in your Claude account, your local Claude Code setup, or a repository. Install them where the sessions that need them can load them.

agent-skills claude-code setup
Sep 1
How to create an AI agent skill: a practical SKILL.md guide

Build a portable AI agent skill from one repeatable job: a precise description, concise instructions, focused resources, and tests that prove it works.

writing workflows agent-skills
Aug 31
What are AI agent skills? How SKILL.md works

AI agent skills package instructions, scripts, references, and templates into portable folders an agent loads only when the task calls for them.

ai-agent-skills agent-skills skill-md claude-skills
Aug 30
AI content SEO: how to publish pages that earn their place

AI made publishing cheap, which is exactly the problem. What separates a page worth ranking from a competent summary of the first ten results.

writing workflows verification seo
Aug 21
Prompt testing: build a lightweight eval set

A prompt that works once isn't a quality system. Five cases, an observable rubric, and a regression set will tell you whether a change helped.

prompt-engineering workflows verification evals
Aug 21
The version bump that took down an app (and how it self-healed)

One character of YAML, four pods that never started, and two safety nets I didn't know were holding. Every restart is an audit. Schedule them before they schedule you.

kubernetes helm deployment containers
Aug 19
What counts as proof

"Verify your work" isn't an instruction. It's a mood. Here's the version that's an instruction. Verify with a different mechanism than the one that made the claim.

kubernetes devops verification ai-agents
Aug 19
Prompt Testing: Build a Lightweight Eval Set

A prompt that works once may still fail in production. A lightweight eval set gives you repeatable cases, a clear rubric, and a way to see whether a prompt change actually improved the workflow.

prompt-evaluation llm-evals test-prompts ai-quality
Aug 17
How to Choose an AI Tool: A Practical Evaluation Checklist

The best AI tool is not the one with the longest feature list. It is the one that solves a defined job reliably, fits the workflow, handles data appropriately, and remains useful after the novelty wears off.

ai-tool-evaluation ai-software-checklist compare-ai-tools ai-productivity
Aug 17
How to Research with AI Without Losing the Source Trail

Use AI to speed research without losing trust. Learn to find primary sources, verify claims, preserve uncertainty, and keep an auditable source trail.

ai-research verification knowledge-work source-checking
Aug 14
How to Write Better AI Prompts: A Practical Framework

Better prompts aren't magic wording. They're short briefs that hand the model a task, the context it can't infer, the limits, and a quality bar.

writing prompt-engineering workflows
Aug 14
The deploy that merged but never deployed

A green PR, a controller reporting success, and not one line of the new code running

kubernetes gitops devops ai
Aug 10
/attach Attach

`crabbox attach` follows the recorded events of an active coordinator run and

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/azure Azure

`crabbox azure` groups Azure provider setup commands. It currently has a single

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/bench Bench

`crabbox bench` records and reports local benchmark timing observations. It is a

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/cache Cache

`crabbox cache` inspects, purges, or warms package and build caches on a

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/capsule Capsule

`crabbox capsule` captures, replays, and tracks lightweight failure capsules.

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/checkpoint Checkpoint

Save the state of a lease, then restore it onto another box or fork it into a

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/claims Claims

`crabbox claims list` prints the lease claims stored on the current machine. It

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/cleanup Cleanup

`crabbox cleanup` sweeps direct-provider machines and local provider state that

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/code Code

`crabbox code` bridges a Linux lease's `code-server` workspace into the

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/config Config

`crabbox config` inspects and updates user configuration. It has three

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/connect Connect

`crabbox connect` resolves a lease and opens an interactive SSH session to it.

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/cp Cp

`crabbox cp` copies files or directories between the host and a Crabbox-owned

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/desktop Desktop

`crabbox desktop` drives a visible desktop session on a lease that was warmed

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/doctor Doctor

`crabbox doctor` runs a preflight before you commit to a long workflow. It is

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/egress Egress

`crabbox egress` gives a lease mediated outbound network: a lease-local browser

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/events Events

`crabbox events` prints the broker's event log for a recorded run.

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/heartbeat Heartbeat

`crabbox heartbeat` refreshes the idle deadline for one owned lease and prints

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/history History

`crabbox history` lists recorded remote command runs from the broker. Each run is

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/image Image

`crabbox image` holds the trusted-operator controls for provider base images:

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/init Init

`crabbox init` onboards the current repository: it writes the minimal config

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Suno

Make any song you can imagine

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HeyGen

Leading AI-powered video generation platform that specializes in creating hyper-realistic talking avatars

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Hermes Agent

Hermes Agent is an open-source, self-improving autonomous AI agent developed by Nous Research

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Kilo Code

Kilo Code is a popular, open-source AI coding agent and "agentic engineering" platform designed to help developers build, refactor, and debug software faster

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Coddy Agent

General-purpose agent in one static Go binary. ReAct loop, ACP server for IDEs, OpenAI-compatible REST API with embedded web UI, Telegram gateway, cron schedule…

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Boucle Framework

Autonomous agent framework with structured memory, safety hooks, and loop management. Built by the agent that runs on it.

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Tick Stock Panel

TSP自托管、零运维的 A 股「选股 + 监控 + 回测」量化工作台 | 基于 TickFlow 数据源 | LLM能力驱使策略定制+个股分析+复盘 | 自由接入第三方数据源与个性化扩展数据 | 个人开源 ,非TickFlow官方项目

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Skills

Curated, verified Agent Skills powered by ModelStudio.

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Claw Orchestrator

Run Claude Code, Codex, Antigravity, Cursor Agent and OpenCode as one runtime — persistent sessions, multi-agent councils, an OpenAI-compatible endpoint, an MCP…

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Senpi

pi had nothing (nothing), so I made something (something) — sorry mariozechner-senpai, I went ahead and lovingly soiled your pure pi for you. opinionated fork o…

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KiroCrew

A persistent workspace for development work that self-improves and continues beyond one session.

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Remnic

Open-source memory and context for user-aware agents: scoped memory, provenance, retrieval quality, correction, boundaries, evals, and MCP/HTTP access.

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MisakaNet

📚 A zero-dependency, git-backed micro-lesson library for AI Agents to asynchronously share and search verified debugging experience. Python stdlib only. | http…

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OpenLore

Deterministic, local-first memory and guardrails for AI coding agents with no LLM in the hot path.

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Pi Task

Deterministic spec-orchestration for local LLMs in the pi coding agent — drives prompts through refine→research→grill→compose→critique, with bundled web/docs/fe…

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Safari Mcp

Native Safari browser automation for AI agents. 97 tools via AppleScript — zero overhead, keeps logins, runs silently in background. Drop-in alternative to Chro…

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Agentlas OS

Agent OS: keep specialist agents in a hub, spin up a temporary orchestrator per task. Local-first, works with any model.

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Amfs

Git for agent memory. Branches, diffs, PRs, and rollback for what your agents know.

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Model Hotel

Multi-Provider AI Gateway - No personal logs by design. Model autodiscovery, Failover groups, High availability, Android companion app, and more - "Because we h…

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MikroMCP

Production-grade MCP server for MikroTik RouterOS with secure AI-native network automation.

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