bambu-studio-ai
Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pi...
Self-improving code reviewer that learns your codebase over time. Analyzes git history, spots patterns, identifies risk — and gets smarter every run.
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
SkillHub CLI
skillhub install 8co/review-evoExaminez la source et la compatibilité, puis suivez les étapes d’installation.
Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.
A self-improving code reviewer. It analyzes your git history, identifies risk hotspots, learns your team's conventions, and builds a persistent knowledge base that sharpens every review.
No external services. No API keys. No dependencies. It uses git and the agent's built-in tools — nothing else.
Follow these steps in order. Complete each step fully before moving to the next.
Verify git is available:
git --version and confirm outputThe user must be inside a git repository with at least 20 commits of history. Run git rev-list --count HEAD to confirm. If fewer than 20 commits, warn the user that analysis will be limited but can still proceed.
Check if this project has been reviewed before:
ls .review-evo/learnings.md 2>/dev/null
If the file exists: Read .review-evo/learnings.md in full. This contains findings from prior runs. Reference these throughout the review — confirm resolved issues, track recurring patterns, and build on previous analysis. Tell the user: "I found learnings from a previous review. I'll build on those."
If the file does not exist: This is a first run. Tell the user you'll create the knowledge base after analysis.
Then detect the project setup by checking for these files in the repo root:
tsconfig.json → TypeScriptpackage.json → Node.js (read scripts for build/test/lint commands)requirements.txt or pyproject.toml → Pythongo.mod → GoCargo.toml → Rustpom.xml or build.gradle → JavaReport what you found and confirm with the user.
Run each of these commands and capture the output. Do not summarize prematurely — collect all data before drawing conclusions.
Recent activity (last 50 commits):
git log --oneline -50
Contributor breakdown:
git log --since="6 months ago" --format="%an" | sort | uniq -c | sort -rn
**High-churn files (...
Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.
# ReviewEvo A self-improving code reviewer. It analyzes your git history, identifies risk hotspots, learns your team's conventions, and builds a persistent knowledge base that sharpens every review. **No external services. No API keys. No dependencies.** It uses git and the agent's built-in tools — nothing else. **Follow these steps in order.** Complete each step fully before moving to the next. ## Prerequisites Verify git is available: - Run `git --version` and confirm output The user must be inside a git repository with at least 20 commits of history. Run `git rev-list --count HEAD` to confirm. If fewer than 20 commits, warn the user that analysis will be limited but can still proceed. ## Step 1 — Detect Project and Load Prior Learnings Check if this project has been reviewed before: ``` ls .review-evo/learnings.md 2>/dev/null ``` **If the file exists:** Read `.review-evo/learnings.md` in full. This contains findings from prior runs. Reference these throughout the review — confirm resolved issues, track recurring patterns, and build on previous analysis. Tell the user: "I found learnings from a previous review. I'll build on those." **If the file does not exist:** This is a first run. Tell the user you'll create the knowledge base after analysis. Then detect the project setup by checking for these files in the repo root: - `tsconfig.json` → TypeScript - `package.json` → Node.js (read `scripts` for build/test/lint commands) - `requirements.txt` or `pyproject.toml` → Python - `go.mod` → Go - `Cargo.toml` → Rust - `pom.xml` or `build.gradle` → Java Report what you found and confirm with the user. ## Step 2 — Analyze Git History Run each of these commands and capture the output. Do not summarize prematurely — collect all data before drawing conclusions. **Recent activity (last 50 commits):** ``` git log --oneline -50 ``` **Contributor breakdown:** ``` git log --since="6 months ago" --format="%an" | sort | uniq -c | sort -rn ``` **High-churn files (...
Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pi...
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