LLM Mart Basic

@llm-mart · Joined Jun 2026

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Cursor Skill systematic-debugging

Structured debugging methodology — reproduce, isolate, hypothesize, verify. Covers git bisect, binary search, logging, and minimal reproduction.

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Cursor Skill tailing-build-output

Monitor a build process (webpack, turbo, docker) for warnings and errors as they stream. Summarize issues and fix them before the build finishes.

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Cursor Skill updating-npm-package

Safely update an npm package by checking npmjs.com for the latest version, reading release notes, and handling minor vs major upgrades differently. For minor updates, just do it. For major updates, find the upgrade guide, validate breaking changes, and produce a detailed migratio

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Cursor Skill using-ui-stack

Enforce a configuration-driven design system when generating UI. Ensures consistent spacing, colors, typography, dark mode, interactions, and accessibility across all AI-generated components.

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Cursor Skill verifying-in-browser

After making code changes, start the dev server, open the app in Cursor's built-in browser, and verify everything works — check rendering, console errors, and network health. Use proactively after any UI or API change.

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Cursor Skill verifying-markdown-formatting

Verify that a Markdown file has correct formatting — headings, lists, links, code blocks, spacing, and consistent style.

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Cursor Skill visual-qa-testing

Visually QA a web application by launching it in Cursor's built-in browser, taking screenshots, checking console errors, and auditing network requests. Use after making UI changes to verify they look correct.

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Cursor Skill writing-commit-messages

Write clear, conventional commit messages with proper type prefixes, scopes, and body content.

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Cursor Skill writing-copy

Write marketing copy for landing pages, product descriptions, CTAs, emails, and app UI text.

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Cursor Skill writing-tests

Analyze existing code and write comprehensive unit and integration tests for it. Detects the test framework, identifies untested code paths, and generates tests with proper mocking, edge cases, and assertions. Use when the user asks to add tests, improve coverage, or test a speci

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ChatGPT Skill agent-memory

A hybrid memory system that provides persistent, searchable knowledge management for AI agents.

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ChatGPT Skill agent-memory-systems

"Memory is the cornerstone of intelligent agents. Without it, every

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ChatGPT Skill agent-orchestrator

Meta-skill que orquestra todos os agentes do ecossistema. Scan automatico de skills, match por capacidades, coordenacao de workflows multi-skill e registry management.

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ChatGPT Skill agents-md

This skill should be used when the user asks to "create AGENTS.md", "update AGENTS.md", "maintain agent docs", "set up CLAUDE.md", or needs to keep agent instructions concise. Enforces research-backed best practices for minimal, high-signal agent documentation.

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ChatGPT Skill ai-agent-development

AI agent development workflow for building autonomous agents, multi-agent systems, and agent orchestration with CrewAI, LangGraph, and custom agents.

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ChatGPT Skill ai-agents-architect

Expert in designing and building autonomous AI agents. Masters tool

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ChatGPT Skill ai-analyzer

AI驱动的综合健康分析系统,整合多维度健康数据、识别异常模式、预测健康风险、提供个性化建议。支持智能问答和AI健康报告生成。

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ChatGPT Skill ai-engineer

Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, agent orchestration, and enterprise AI integrations.

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ChatGPT Skill ai-engineering-toolkit

6 production-ready AI engineering workflows: prompt evaluation (8-dimension scoring), context budget planning, RAG pipeline design, agent security audit (65-point checklist), eval harness building, and product sense coaching.

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ChatGPT Skill ai-loop

Runs a bounded spec-build-review development loop with explicit scope, stop conditions, and human approval gates for risky or ambiguous work.

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/ia-ideate ia-ideate

Generate ranked improvement ideas by scanning the codebase, divergent ideation, adversarial critique, and impact ranking

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/ia-lfg ia-lfg

Full autonomous engineering workflow (plan, build, review, ship)

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/ia-plan ia-plan

Transform feature descriptions into well-structured project plans following conventions

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/ia-report-bug ia-report-bug

Report a bug in the whetstone plugin

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/ia-reproduce-bug ia-reproduce-bug

Reproduce a GitHub issue bug with visual evidence (browser screenshots, log analysis). Takes a GitHub issue number. For non-issue bug validation, use the bug-reproduction-validator agent.

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/ia-resolve-pr ia-resolve-pr

Resolve PR review comments with cluster analysis and parallel agents. Use when bulk-fixing PR comments after triage.

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/ia-review ia-review

Perform exhaustive code reviews using multi-agent analysis, ultra-thinking, and worktrees

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/ia-setup ia-setup

Diagnose the whetstone environment and configure review agents. Checks CLI dependencies and plugin version, then runs the review-agent wizard that writes whetstone.local.md. Use when onboarding a project, troubleshooting missing tools, or configuring review agents.

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/ia-test-browser ia-test-browser

Run browser tests on pages affected by current PR or branch

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/ia-verify ia-verify

Run pre-PR verification chain: build, types, lint, tests, security scan, diff review

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/ia-work ia-work

Execute work plans efficiently while maintaining quality and finishing features

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/memory-compact Memory compact

Run a dry run first:

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/memory-forget Memory forget

Run:

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/memory-status Memory status

Run:

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/skill-creator Skill creator

Create or update an OpenCode skill using the bundled skill-creator workflow

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/skill-registry Skill registry

Rebuild the OpenCode skill registry for the current project and installed skills

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/agentation-fix agentation-fix

Session-2 fix loop for Agentation — read structured annotations from the dev overlay and apply targeted UI fixes.

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/apply-design-md apply-design-md

Consume the project's design contract — a .design file or DESIGN.md — and thread its tokens through UI code (CSS, Tailwind, or design-system components).

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/fork-pov fork-pov

Fork pov.md for installer taste, or append a one-liner to gotchas.md after a real agent failure.

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/motion-audit motion-audit

Audit animation timing, easing, springs, and transitions — decide first whether motion should exist, then apply the motion cluster.

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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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