LLM Mart Basic

@llm-mart · Joined Jun 2026

0 Followers 0 Reputation 11715 Contributions
ChatGPT Skill fable-safe-prompt

Rewrite allowed prompts to reduce false-positive safety triggers without bypassing policy or changing intent.

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ChatGPT Skill file-uploads

Expert at handling file uploads and cloud storage. Covers S3,

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ChatGPT Skill find-bugs

Find bugs, security vulnerabilities, and code quality issues in local branch changes. Use when asked to review changes, find bugs, security review, or audit code on the current branch.

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ChatGPT Skill finishing-a-development-branch

Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup

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ChatGPT Skill firebase

Firebase gives you a complete backend in minutes - auth, database,

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ChatGPT Skill firmware-analyst

Expert firmware analyst specializing in embedded systems, IoT security, and hardware reverse engineering.

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ChatGPT Skill fitness-analyzer

分析运动数据、识别运动模式、评估健身进展,并提供个性化训练建议。支持与慢性病数据的关联分析。

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ChatGPT Skill fix-review

Verify fix commits address audit findings without new bugs

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ChatGPT Skill fixing-accessibility

Audit and fix HTML accessibility issues including ARIA labels, keyboard navigation, focus management, color contrast, and form errors. Use when adding interactive controls, forms, dialogs, or reviewing WCAG compliance.

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ChatGPT Skill fixing-metadata

Audit and fix HTML metadata including page titles, meta descriptions, canonical URLs, Open Graph tags, Twitter cards, favicons, JSON-LD structured data, and robots directives. Use when adding SEO metadata, fixing social share previews, reviewing Open Graph tags, setting up canoni

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ChatGPT Skill flutter-expert

Master Flutter development with Dart 3, advanced widgets, and multi-platform deployment.

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ChatGPT Skill food-database-query

Food Database Query

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ChatGPT Skill formik-patterns

Formik form handling with validation patterns. Use when building forms, implementing validation, or handling form submission.

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ChatGPT Skill frontend-api-integration-patterns

Production-ready patterns for integrating frontend applications with backend APIs, including race condition handling, request cancellation, retry strategies, error normalization, and UI state management.

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ChatGPT Skill frontend-architecture

A portable, framework-agnostic architecture style for any React or React Native frontend. Organizes apps into feature modules with page/screen directories, a strict server-state vs UI-state split, barrel-only cross-module imports, co-located styles, and clear component-promotion

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ChatGPT Skill frontend-data-contracts

A portable, framework-agnostic discipline for type safety at the network edge of any React or React Native app. Establishes one typed API client as the single fetch boundary, a parse-don't-validate rule that turns wire JSON into trusted domain types before it enters the app, a si

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ChatGPT Skill frontend-design

You are a frontend designer-engineer, not a layout generator.

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ChatGPT Skill frontend-developer

Build React components, implement responsive layouts, and handle client-side state management. Masters React 19, Next.js 15, and modern frontend architecture.

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ChatGPT Skill frontend-seo

A portable, framework-agnostic SEO system for any React or React Native-for-web frontend. Centralizes site metadata in one constants module, derives canonical URLs from a single base, builds per-route metadata (title, description, canonical, Open Graph, Twitter/X cards), generate

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ChatGPT Skill frontend-ui-dark-ts

A modern dark-themed React UI system using Tailwind CSS and Framer Motion. Designed for dashboards, admin panels, and data-rich applications with glassmorphism effects and tasteful animations.

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How to build an MCP server in TypeScript: step-by-step

Build an MCP server in TypeScript with focused tools, validated schemas, local and remote transports, Inspector tests, and production security controls.

security ai mcp
Sep 15
What is an MCP server? A practical guide

An MCP server exposes tools, resources, or prompts through a standard protocol so an AI application can discover and use external capabilities.

agents ai agent-skills claude-skills
Sep 11
How to vet AI agent skills before installing them

Treat an AI agent skill as both an instruction package and a software dependency: inspect what it says, what it runs, what it can access, and how it updates.

agents security ai-agents ai-agent-skills
Sep 10
How to add an MCP server to Claude Code safely

Add remote HTTP or local stdio MCP servers to Claude Code, choose the right scope, protect credentials, verify the connection, and test with least privilege.

agents agent-skills claude-skills claude-code
Sep 9
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
/chain Chain

Run an ad-hoc ordered chain of pm-skills with shared context (ephemeral; routes to the pm-workflow-orchestrator)

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/workflow-customer-discovery Workflow customer discovery

Run the Customer Discovery workflow (research -> JTBD -> opportunities -> problem)

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/workflow-design-sprint Workflow design sprint

Run the Design Sprint workflow (5-day prototype-and-test arc producing a Decider's build/iterate/pivot/stop call)

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/workflow-feature-kickoff Workflow feature kickoff

Run the Feature Kickoff workflow (problem -> hypothesis -> PRD -> stories)

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/workflow-foundation-sprint Workflow foundation sprint

Run the Foundation Sprint workflow (2-day strategic-alignment arc producing a Founding Hypothesis)

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/workflow-foundation-to-design Workflow foundation to design

Run the end-to-end Foundation Sprint + Design Sprint workflow with narrative handoff

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/workflow-post-launch-learning Workflow post launch learning

Run the Post-Launch Learning workflow (instrumentation -> dashboard -> results -> retro -> lessons)

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/workflow-product-strategy Workflow product strategy

Run the Product Strategy workflow (competitive analysis -> stakeholders -> opportunities -> solution -> ADR)

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/workflow-sprint-planning Workflow sprint planning

Run the Sprint Planning workflow (refinement -> stories -> edge cases)

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/workflow-stakeholder-alignment Workflow stakeholder alignment

Run the Stakeholder Alignment workflow (stakeholders -> problem -> solution -> launch)

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/workflow-technical-discovery Workflow technical discovery

Run the Technical Discovery workflow (spike -> ADR -> design rationale)

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/c-one C one

Placeholder command file for the WS-T9 dual-shell parity smoke. No count phrases.

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/minutes-brief Minutes brief

Fast non-interactive briefing before any meeting — auto-detects your next calendar event, pulls relationship history, surfaces open commitments, and produces a one-page brief in under 30 seconds. Use this whenever the user says "brief me", "give me a quick brief", "what's coming up", "background on my next call", "who am I meeting next", "brief me on Sarah", "I have a call in 10 min", "quick rundown", or right before walking into a meeting. Different from /minutes-prep — brief is the fast hook-fireable version that doesn't ask questions and doesn't set goals. Use brief when speed matters; use prep when the user wants to think hard about goals first.

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/minutes-cleanup Minutes cleanup

Manage old recordings — find large files, archive old meetings, delete processed originals. Use when the user says "clean up recordings", "how much space are meetings using", "delete old recordings", "archive meetings", "manage meeting storage", or asks about disk space from minutes.

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/minutes-copilot Minutes copilot

Start and control Minutes Coach, the separate real-time copilot HUD, with an explicit meeting goal. Use only for explicit Coach or HUD lifecycle requests such as "start Minutes Coach", "open the Coach HUD", "pause Minutes Coach", "resume Minutes Coach", "Minutes Coach status", or "stop Minutes Coach". Do not use for requests that explicitly ask the current terminal agent to watch or strategize; those belong to minutes-live-sidekick. An ambiguous request such as "coach me live" requires one short surface clarification and must not automatically start Coach.

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/minutes-debrief Minutes debrief

Post-meeting debrief — analyzes what happened, compares outcomes to your prep intentions, tracks decision evolution. Use when the user says "debrief", "what just happened in that meeting", "what did we decide", "debrief that call", "post-meeting", "what changed", or right after stopping a recording.

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/minutes-graph Minutes graph

Policy-safe relationship rankings, commitments, aliases, person profiles, and topic research. Always use Minutes' bounded native CLI surfaces; never build or read a durable graph cache.

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/minutes-ideas Minutes ideas

Surface recent voice memos and ideas captured from any device. Use when the user asks "what ideas did I have?", "what were my recent memos?", "what did I record while walking?", or wants to recall a captured thought.

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/minutes-ingest Minutes ingest

Extract facts from meetings and update your knowledge base — person profiles, chronological log, and index. Use when the user asks "ingest my meetings", "update my knowledge base", "extract facts from meetings", "sync meetings to wiki", "backfill knowledge", or wants their PARA/Obsidian/wiki profiles updated from conversation data.

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/minutes-lint Minutes lint

Health-check your meeting knowledge for contradictions, stale commitments, and decision conflicts. Use when the user asks "any conflicts in my meetings", "check for stale action items", "lint my meetings", "consistency check", "are there contradictions", or wants to audit their decision history.

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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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