Continual Learning vs superpowers-optimized
Continual Learning is a plugin bundle for AI coding tools published by Eric Zakariasson. Marketplaces we read that list it: 1 (Cursor: cursor/plugins). superpowers-optimized is a plugin bundle for AI coding tools published by REPOZY. Marketplaces we read that list it: 1 (Claude Code: claude-plugins-community). As of our marketplace pass on 2026-10-12. This pair was picked by a reader, not by our comparison rule, so search engines are asked not to index the page.
Where each is published
| Marketplace | ||
|---|---|---|
| Cursor: cursor/plugins | Listed Version: 1.0.0 Forks (GitHub): 1 066 Stars (GitHub): 11 026 Not marked · First seen |
Not listed |
| Claude Code: claude-plugins-community | Not listed | Listed Version: 6.6.1 Forks (GitHub): 8 Stars (GitHub): 141 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 | Continual Learning | superpowers-optimized |
|---|---|---|
| Marketplaces that list it | 1 | 1 |
| Stars (GitHub) (differs) | 11 026 (better) | 141 (worse) |
| Forks (GitHub) (differs) | 1 066 (better) | 8 (worse) |
| Last release | Not published | Not published |
| Where it runs | Installs as a plugin bundle | Installs as a plugin bundle |
| Transport | Not stated | Not stated |
| Tools it declares | Not published | Not published |
| Environment variables it asks for | Not published | Not published |
| Hooks it runs (differs) | 1 | 10 |
| Parts of the bundle (differs) | 3 | 32 |
| Licence | MIT | MIT |
| Repository (differs) | github.com/cursor/plugins | github.com/repozy/superpowers-optimized |
| Changes in the last 7 days | 0 | 0 |
| First seen (differs) | 2026-10-11 | 2026-10-12 |
Lines where the two differ have a tinted background and bold values. Where the data itself says which value is better (more marketplaces, a larger figure of the same marketplace, a fresher release, a verified mark on a marketplace that lists both), the better one is also marked green with ▲ and the worse one red with ▼. Where it runs, the transport, the tools, the settings, hooks, the bundle's parts, the licence and the week's changes are marked only as different: more or fewer is not better in itself.
What each says it does
Continual Learning
Incremental transcript-driven memory updates for AGENTS.md using high-signal bullet points only.
superpowers-optimized
Built on the trusted obra/superpowers workflow and refined through research into LLM agent behavior, it adds automatic 3-tier workflow routing, proactive safety hooks, self-consistency verification at critical decision points, cross-session memory, and adversarial red-teaming — everything the original does, plus the discipline layer it was missing. Cross-session memory changes the experience fundamentally. Without it, every session starts blind: the AI re-explores structure it already mapped, re-proposes approaches that were already rejected, re-debugs errors that were already solved. With the four-file memory stack, it arrives knowing what was tried, what was decided, and why — and builds forward instead of sideways. Five research-backed principles run throughout: *less is more* (minimal always-on instructions), *fresh context beats accumulated context* (subagents get clean scoped prompts, not polluted history), *compliance ≠ competence* (instructions must be carefully engineered, not just comprehensive), *v
How to run each
Continual Learning
No data for an automatic command: what its marketplaces declare does not say unambiguously how to connect it.
superpowers-optimized
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
Neither one's marketplaces publish a list of tools, so there is nothing to compare.
Settings each asks for
Neither one's marketplaces publish the settings it asks for.
What it can do: Continual Learning · What it can do: superpowers-optimized · Compare two other plugins
Data comes from the public marketplace file https://github.com/cursor/plugins/blob/HEAD/.cursor-plugin/marketplace.json. Data comes from the public marketplace file https://github.com/anthropics/claude-plugins-community/blob/HEAD/.claude-plugin/marketplace.json. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.