Effect vs watch-and-learn
watch-and-learn is no longer listed on any marketplace we read: these are its last known data, as of 2026‑10‑25.
Effect is an MCP server published by tim-smart. Marketplaces we read that list it: 1 (Docker MCP Catalog). watch-and-learn is a plugin bundle for AI coding tools published by Axel Sooriah. No marketplace we read lists it any more. As of our marketplace pass on 2026-10-25. A plugin in this pair is no longer listed on any marketplace we read, so search engines are asked not to index the page.
Where each is published
| Marketplace |   Effect | |
|---|---|---|
| Docker MCP Catalog | Listed Version: sha256:a0e077abc890 Forks (GitHub): 13 Pulls (Docker Hub): 13 148 Stars (Docker Hub): 0 Stars (GitHub): 239 Not marked · First seen |
Not listed |
| Community marketplace axel-pm/watch-n-learn | Not listed | Removed on 2026-10-25 Version: 0.2.0 Forks (GitHub): 0 Stars (GitHub): 9 Not marked · First seen |
Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.
The facts side by side
| Fact | Effect | watch-and-learnno longer listed · |
|---|---|---|
| Marketplaces that list it (differs) | 1 | 0 |
| Stars (GitHub) (differs) | 239 | 9 |
| Pulls (Docker Hub) (differs) | 13 148 | No figure on Docker Hub |
| Forks (GitHub) (differs) | 13 | 0 |
| Last release | Not published | Not published |
| Where it runs (differs) | On your machine (mcp/effect-mcp) | Installs as a plugin bundle |
| Transport (differs) | stdio | Not stated |
| Tools it declares (differs) | 2 | Not published |
| Environment variables it asks for | Not published | Not published |
| Parts of the bundle (differs) | Not a bundle | 1 |
| Licence | MIT | MIT |
| Repository (differs) | github.com/tim-smart/effect-mcp | github.com/axel-pm/watch-n-learn |
| Changes in the last 7 days (differs) | 0 | 2 |
| First seen (differs) | 2026-10-11 | 2026-10-15 |
Lines where the two differ have a tinted background and bold values. No value is marked better or worse: a plugin no marketplace lists any more is shown with its last known data, which we do not rank against current figures.
What to use instead of watch-and-learn
Plugins still listed whose own names, descriptions, tools and skills are closest in meaning to it. Comparable, not endorsed.
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Inputs the content of any video into Claude Code prompt / context window as a multimodal bundle of voice transcription and data summary, time synced with keyframes - screenshots…
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Stop vibecoding blind. Darce teaches you what the AI just built, concept breakdowns, pattern analysis, and quizzes on your actual code. Three modes: Ship (just code), Understand…
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In-context coding tutor for Claude Code. Explains what AI just built, quizzes you on your own project, and tracks progress locally with a martial arts belt progression system.
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Learn any technology by building real projects — Claude guides step-by-step, you write every line of code
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Personalized coding tutorials that build on your existing knowledge and use your actual codebase for examples. Includes spaced repetition quizzes to reinforce learning. Includes 3…
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Reusable Codex skills and workflows from feiskyer/codex-settings.
What each says it does
Effect
Tools and resources for writing Effect code in Typescript.
watch-and-learn
Turn a how-to video into a reusable skill for your AI coding agent — watched locally, no API keys.
How to run each
Effect As a local MCP server: Docker image
claude mcp add --transport stdio effect-mcp -- docker run -i --rm mcp/effect-mcpwatch-and-learn
No data for an automatic command: what its marketplaces declare does not say unambiguously how to connect it.
Commands built only from what the marketplaces declare; the full set for every client is on each card.
Tools each declares
The marketplaces of watch-and-learn publish no list of tools, so we do not compare tools.
Settings each asks for
Neither one's marketplaces publish the settings it asks for.
What it can do: Effect · What it can do: watch-and-learn · Compare two other plugins
Data comes from the Docker MCP Catalog (desktop.docker.com/mcp/catalog) and Docker Hub. Data comes from public marketplace files in GitHub repositories of their authors. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.