cluster-documents
Automated content similarity and grouping analysis. Groups related documents by topic, purpose, or content similarity.
npx skills add majiayu000/claude-skill-registry --skill cluster-documents-dandye-ai-runbooks --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Document Clustering Skill Analyze a repository of documents to group them based on content similarity, topic, or purpose. This skill helps organize large collections, identify redundancies, and discover relationships. ## Inputs - `PATH` - The repository to analyze (e.g., "/repository") - `SIMILARITY_THRESHOLD` - (Optional) Float (0.0-1.0), threshold for grouping (default: 0.8) - `VISUALIZATION` - (Optional) Boolean, whether to generate a visual representation (default: false) ## Workflow ### Step 1: Text Processing Ingest documents from `PATH`. - Normalize text (remove stop words, stemming/lemmatization). - Generate embeddings or TF-IDF vectors for each document. ### Step 2: Clustering Analysis Apply clustering algorithms (e.g., K-Means, DBSCAN) to the document vectors. - Group documents that meet the `SIMILARITY_THRESHOLD`. - Identify outliers or unique documents. ### Step 3: Cluster Labeling Analyze the centroid or representative terms of each cluster to assign a meaningful label (Topic). ### Step 4: Output Generation Generate the clustering report. - If `VISUALIZATION` is true, create a scatter plot or dendrogram data. ## Required Outputs A `CLUSTERING_REPORT` object containin
- Inputs
- Workflow
- Step 1: Text Processing
- Step 2: Clustering Analysis
- Step 3: Cluster Labeling
- Step 4: Output Generation
- Required Outputs
- Quick Reference
What does the cluster-documents skill do?
Automated content similarity and grouping analysis. Groups related documents by topic, purpose, or content similarity.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill cluster-documents-dandye-ai-runbooks --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.