Knowledge base rag
Skill lensetek/Digital-Marketing-Agent_Skills/capabilities/knowledge-base-rag
Digital-Marketing-Agent_Skills
npx -y skills add lensetek/Digital-Marketing-Agent_Skills --skill knowledge-base-ragAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
SKILL.md
1.2 KB, as published. Nobody here has run it
Knowledge Base / RAG Capability
When to Use
Use this capability for indexing documents, retrieving relevant context, building grounded answers, maintaining a project knowledge base, and citing evidence from approved files.
Preferred Implementation
- Use local indexing, embeddings, vector stores, keyword search, or connector search depending on available tools.
- Prefer source-grounded retrieval before generation.
- Use Computer Use only when the knowledge source is accessible only through a visual UI and user approves.
Inputs
- Approved document set.
- Query or task.
- Retrieval scope.
- Citation requirements.
- Sensitive data rules.
Outputs
- Retrieved Evidence.
- Grounded Answer.
- Source Citations.
- Knowledge Gap Notes.
- Index or Refresh Report.
Security and Ethics
- Do not index secrets, credentials, raw customer-sensitive data, or private files without approval.
- Do not present unsupported statements as sourced facts.
- Keep citations tied to actual retrieved evidence.
- Use
project-memory-learningfor approved preferences, decisions, and experiment history; use this capability for document retrieval and grounded evidence.