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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/plugin-review plugin-review

"Tiered plugin quality review: branch (quick gates),

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/promote-discussions promote-discussions

Check GitHub Discussions for highly voted learnings and promote them to Issues.

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/rules-eval rules-eval

Evaluate Claude Code rules in .claude/rules/ directories for quality

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/skills-eval skills-eval

Audit skill quality, frontmatter compliance, token efficiency, and activation reliability. Recommends improvements.

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/test-skill test-skill

Test Claude Code skills using RED/GREEN/REFACTOR TDD phases in fresh subagents to prevent priming bias.

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/validate-hook validate-hook

Validate hooks for security, performance, and SDK compliance

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/validate-plugin validate-plugin

Validate plugin structure, schema, and naming. Use for plugin creation, debugging, or verification.

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/arch-init arch-init

Initialize projects with architecture-aware templates using paradigm research and selection guidance for the target domain.

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/blueprint blueprint

Generate an implementation plan with system architecture design and dependency-ordered task breakdown from a specification.

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/brainstorm brainstorm

Guide project ideation through Socratic questioning to generate briefs with validated approaches and decision rationale.

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/execute execute

Execute implementation plan systematically with progress tracking and checkpoint validation

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/mission mission

Run full attune lifecycle as a mission with state detection and phase routing

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/project-init project-init

Initialize a new project with git setup, CI/CD workflows, pre-commit hooks, Makefiles, and language-specific tooling.

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/skill-library skill-library

Build a project skill library under .claude/skills/ as a resumable mission: discover, author in parallel, review adversarially.

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/specify specify

Create specs from project briefs with acceptance criteria and testable requirements

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/upgrade-project upgrade-project

Update existing project configurations to current best practices with selective component upgrades

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/validate validate

Validate project structure and configurations against best practices with detailed issue reporting

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/war-room war-room

Convene a multi-LLM expert panel to pressure-test strategic decisions with adversarial review and reversibility assessment.

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/visualize visualize

Generate visual diagrams of codebase structure using Mermaid Chart MCP rendering.

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/ai-hygiene-audit ai-hygiene-audit

Audit codebase for AI-generated code quality issues (vibe coding, Tab bloat, slop)

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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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