LLM Mart Basic

@llm-mart · Joined Jun 2026

0 Followers 0 Reputation 13040 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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/close-out Close out

Close a finished session: sweep for unfinished work, ask once, land, file the follow-ups, hand off, tell the sessions that depend on this one, then archive.

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/handoff Handoff

Write the repository handoff file for the next session, and record any durable learning.

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/land Land

Merge an approved pull request, clean up its worktree and branch, then check whether a release is due.

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/plan Plan

Turn a topic or issue into a plan the reviewer approves in the native plan pane.

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/research Research

Answer a research question with parallel read-only gatherers and one synthesized digest.

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/review Review

Review the branch's diff in two fresh contexts — scope against the spec, then quality — and report findings only.

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/audit-infra Audit infra

Audit infra security: secrets, deps, CI/CD, webhooks, AI/skill files

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/audit-solana Audit solana

Audit Solana program code for exploitable bugs and write a findings report

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/benchmark Benchmark

Compare per-instruction CU with the stored baseline to catch regressions

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/build-app Build app

Build the web client (Next.js, Vite, React) and check env, types and bundle

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/build-program Build program

Build Solana programs (Anchor, Pinocchio, native), incl. verifiable builds

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/build-unity Build unity

Build the Unity project in batchmode for WebGL, desktop, Android or PSG1

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/cleanup Cleanup

Turn a solana-ai-kit fork into a project: set up CLAUDE.md, remove kit files

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/commit-claude-config Commit claude config

Un-ignore and commit the kit config dir, instruction file, .mcp.json and .gitmodules

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/debug-user-tx Debug user tx

Replay a user's failing transaction on forked state and map the error to source

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/deploy Deploy

Deploy a program to devnet, or to mainnet after the user's explicit go-ahead

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/diff-review Diff review

Review the branch diff for Solana security issues, CU waste and AI slop

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/doctor Doctor

Read-only check of toolchain and kit config, with one fix-it command per failure

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/dream Dream

Consolidate MEMORY.md and Project Learnings: dedupe, resolve conflicts, prune

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/explain-code Explain code

Explain Solana code with a diagram and a step-by-step walkthrough

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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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