Best all-in-one for everyone (prompts + skills + capture + MCP)
A personal prompt and skill library for anyone using ChatGPT, Claude or Gemini. A browser extension captures prompts and outputs in one click, an MCP server pulls your library into Claude/Cursor with /prompt, and a public community lets you discover and share. German + English, with a Mac app.
Key features
One-click capture of prompts + outputsSkills, not just promptsMCP server (/prompt in Claude, Cursor)Public community + magazineMac/desktop appGerman + English UI
Pros
- + Only tool combining capture + skills + MCP + community + German
- + Made for non-developers, not just engineers
- + Genuinely free tier to start
Cons
- – Newer product — community is still growing
- – No prompt evals/observability (use a dev tool for that)
Pricing: Free (30 prompts, 10 skills). Pro CHF 15/mo or CHF 120/yr.
Best for engineering teams (evals + observability)
A developer prompt CMS with strong versioning, evaluations and production monitoring. API/SDK-first — ideal inside an LLM codebase, overkill for a personal library.
Key features
Prompt versioning + release labelsEvaluations & A/B testingProduction monitoring/observabilityModel-agnostic API/SDK
Pros
- + Best-in-class evals & monitoring
- + Strong team governance workflows
Cons
- – Developer/API-first — not for non-coders
- – No capture, skills, MCP, community or German UI
Pricing: Free tier; paid team plans (promptlayer.com, as of 2026-06).
Best for team prompt versioning + public gallery
Prompt-as-code with versioning, team collaboration and a public gallery. The closest all-rounder to Prompt2Love, but without skills, browser capture, MCP or a German UI.
Key features
Prompt versioningTeam collaborationPublic prompt galleryMulti-model
Pros
- + Mature versioning + public gallery
- + Solid for collaborating teams
Cons
- – No skills, capture, MCP or desktop app
- – English-only, developer-leaning
Pricing: Free tier; paid plans (prompthub.us, as of 2026-06).
Best open-source (self-host) for developers
Open-source LLM observability and prompt management you can self-host. Developer/API-first, with tracing and evaluation — but no consumer UI, capture or community.
Key features
Open-source, self-hostableTracing + observabilityPrompt management + evalsSDKs for developers
Pros
- + Free and open-source — full data control
- + Strong observability for LLM apps
Cons
- – Developer-only; needs setup/self-hosting
- – No capture, skills, community or German UI
Pricing: Open-source (free self-host); managed cloud free tier + paid (langfuse.com).
Best for discovering ready-made prompts
Prompt marketplaces with huge public libraries of ready-made prompts, and (AIPRM) a browser extension that injects prompt templates into ChatGPT. Great for discovery, but not a personal, versioned library of your own.
Key features
Huge public prompt librariesBrowser extension for ChatGPT (AIPRM)Community-driven, multi-model
Pros
- + Massive ready-made prompt discovery
- + Free to browse and use
Cons
- – Not a personal/private library — no versioning
- – No skills, no output capture, no MCP
Pricing: Free / freemium (flowgpt.com, aiprm.com).
Best if you want one flexible workspace for everything
A general workspace many use with a prompt-library template. Flexible and familiar, but fully manual — no capture from AI tools, no model tagging, no prompt community.
Key features
Flexible databases for any notesTemplates for a prompt libraryNotion AI + workspace MCP server
Pros
- + One workspace for everything
- + Powerful, familiar, you may already use it
Cons
- – Fully manual — copy-paste every prompt/output
- – Not purpose-built: no model tagging, no prompt community, no skills
Pricing: Free plan; paid per-user plans (notion.so, as of 2026-06).
