Update rlm SKILL.md

haiku_rag_slim/haiku/rag/skills/rag-rlm/SKILL.md

@@ -1,33 +1,13 @@
 ---
 name: rag-rlm
-description: Analyze documents using code execution in a Docker sandbox.
+description: >
+  Computational analysis of the knowledge base via code execution in a Docker sandbox.
+  Use for questions requiring counting, aggregation, statistics, data traversal,
+  comparison across documents, or any task best answered by writing Python code.
+  Examples: "how many pages?", "compare table 3 across documents",
+  "calculate average word count", "extract all email addresses".
 ---
 
-# RLM (Reflexion Language Model) Analysis
+# RLM Analysis
 
-You have access to a computational analysis tool that can write and execute Python code against the knowledge base.
+Use the `analyze` tool for complex analytical questions. It writes and executes Python code against the knowledge base in an isolated Docker sandbox.
-
-## When to use `analyze`
-
-Use the `analyze` tool for questions that require:
-
-- **Computation** — counting, aggregation, averages, statistics
-- **Data traversal** — iterating over documents, comparing tables, extracting structured data
-- **Code execution** — any question best answered by writing and running Python code
-- **Complex reasoning** — multi-step analysis that goes beyond simple search or Q&A
-
-Examples:
-- "How many pages are in this document?"
-- "Compare the results in table 3 across all documents"
-- "Calculate the average word count per document"
-- "Write code to extract all email addresses"
-
-## Requirements
-
-The analyze tool requires Docker to be running, as code execution happens in an isolated Docker sandbox.
-
-## Parameters
-
-- `question` (required) — The analytical question to answer
-- `document` — Optional document ID or title to pre-load for analysis
-- `filter` — Optional SQL WHERE clause to filter documents