loro
loro is a Frontend state & data fetching skill for AI agents, published by loro-dev in the loro repository on GitHub. Skillspace rates loro C (71/100) and it passed the safety scan; the rating is based on static analysis only.
Practical guide for helping app developers evaluate, adopt, and use Loro for local-first collaboration. Use when Codex needs to answer questions or write examples for `loro-crdt`, `loro`, `loro-prosemirror`, `loro-codemirror`, `loro-mirror`, language bindings such as Swift/Python/C#/Go/React Native, or Loro-powered apps about: (1) Deciding whether Loro fits a product, (2) Getting started in JavaScript/TypeScript, Rust, or another supported binding, (3) Choosing CRDT containers and document structure, (4) Designing sync, persistence, snapshots, versioning, undo, presence, or time travel, (5) Integrating rich-text editors and stable selections, (6) Mirroring app state with React, or (7) Understanding performance and tradeoffs.
- Grade
- C
- Quality
- 71 / 100
- Safety
- Passed
- GitHub stars
- 5,817
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 94 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Vendor-specific: built around one product. Guide to adopting the public Loro CRDT library and bindings
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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