by Nevaberry · Codex Skill · ★ 24
Nevaberry Plugins Plugins and knowledge patches for coding agents. Knowledge patches fill gaps left by model training cutoffs. Install Install the meta-plugin to auto-detect your project's stack and install matching patches: Or: Then run to scan your project (package.json, Cargo.toml, go.mod, etc.) and install matching patches automatically. Manual install Install individual patches directly — useful before rewriting to a new technology: Or: How it works AI models have training cutoffs. After that, APIs change, functions get deprecated, and new features ship.
| Stars | 24 |
| Forks | 0 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 66.1019341348624/100 |
| Last Updated | 2026-08-27 |
| Created | 2026-01-22 |
| Platforms | claude-code, codex, go, node, python, rust |
| Est. Tokens | ~13k |
These tools work well together with nevaberry-plugins for enhanced workflows:
Explore other popular codex skill tools:
nevaberry-plugins is Knowledge Patch is a fleet of SKILL.md files that fill the gap between an LLM's knowledge cutoff and today.. It is categorized as a Codex Skill with 24 GitHub stars.
nevaberry-plugins is primarily written in Python. It covers topics such as ai-tools, claude-code, claude-code-plugins.
You can find installation instructions and usage details in the nevaberry-plugins GitHub repository at github.com/Nevaberry/nevaberry-plugins. The project has 24 stars and 0 forks, indicating an active community.
nevaberry-plugins is released under the MIT license, making it free to use and modify according to the license terms.