LLM Mart Basic

@llm-mart · Joined Jun 2026

0 Followers 0 Reputation 13128 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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/setup Setup

credo - Set up Claude Code with recommended workflows and plugins

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/cleanup Cleanup

dogma - Find and fix AI-typical patterns in code (reactive cleanup)

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/docs-update Docs update

dogma - Sync documentation across README files and wiki articles

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/force Force

dogma - Interactively collect and apply CLAUDE rules to the project

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/ignore Ignore

dogma - Add ignore patterns to multiple locations at once

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/lint Lint

dogma - Run project-specific linting and formatting on staged files (non-interactive)

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/permissions Permissions

dogma - Create or update DOGMA-PERMISSIONS.md interactively (Git, File, and Workflow permissions)

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/sanitize-git Sanitize git

dogma - Sanitize git history from Claude/AI traces and fix tracking issues

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/sync Sync

dogma - Intelligently sync Claude instructions from a source to the current project with interactive review

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/versioning Versioning

dogma - Check and fix version mismatches across all version files

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/setup gsd:setup

Install GSD resources into the active Claude config dir (${CLAUDE_CONFIG_DIR:-$HOME/.claude}/get-shit-done/) (required before using other GSD commands)

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/uninstall gsd:uninstall

Remove GSD resources from the active Claude config dir (${CLAUDE_CONFIG_DIR:-$HOME/.claude})

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/cleanup Cleanup

hydra - Remove already merged worktrees and their branches

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/create Create

hydra - Create a new Git worktree for isolated work

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/delete Delete

hydra - Safely remove a Git worktree

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/help Help

hydra - Show available commands and explain the concept

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/list List

hydra - List all Git worktrees of the repository

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/merge Merge

hydra - Merge a worktree branch back into current branch

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/parallel Parallel

hydra - Start multiple agents in parallel across worktrees

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/spawn Spawn

hydra - Start an agent in an existing worktree

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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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