ReddRadar
Agent skill
rewriting
Enhances vague queries for better retrieval with context-aware improvements. Use during adaptive retry when no relevant documents found, when queries are unclear, or when the user mentions query enhancement or rewriting.
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Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/data/rewriting
SKILL.md
Query Rewriting
Instructions
Rewrite queries using rewrite_query() in components/rewriter.py. Typically triggered when len(relevant_docs) == 0 during adaptive retry.
Default usage:
python
# During retry after no relevant docs found
previous_context = f"Previous query '{current_query}' found {len(docs)} documents but none were relevant."
rewrite_result = rewrite_query(current_query, previous_context=previous_context)
current_query = rewrite_result['rewritten_query']
Rewriting strategies:
- Expand abbreviations: "fast computer" → "high performance laptop processor"
- Clarify vague terms: "won't work" → "troubleshooting device not powering on"
- Incorporate context: "What about warranty" + product context → "warranty coverage for [product]"
- Add synonyms: "cheap" → "affordable budget inexpensive"
Returns:
rewritten_query: Enhanced query stringreasoning: Explanation of changes
Critical for adaptive retry: Call only when len(relevant_docs) == 0 and num_retries < RETRY_LIMIT. Pass context from previous failed attempt.
Implementation: components/rewriter.py, uses REWRITE_MODEL from config.py (default: Haiku 4.5), temperature 0.3.
Examples
Example 1: Basic rewriting (no context)
python
# Input
result = rewrite_query("fast computer")
# Output
{
"rewritten_query": "high performance laptop with fast processor and SSD storage",
"reasoning": "Expanded 'fast' to specific performance characteristics"
}
Example 2: Context-aware rewriting
python
# Input
result = rewrite_query(
"What about warranty",
previous_context="User interested in ZenithBook 13 Evo laptop"
)
# Output
{
"rewritten_query": "What is the warranty coverage and terms for ZenithBook 13 Evo laptop",
"reasoning": "Incorporated product context and made question explicit"
}
Example 3: Adaptive retry integration
python
# After grading finds no relevant docs
if len(relevant_documents) == 0 and num_retries < RETRY_LIMIT:
# Build context
previous_context = f"Previous query '{current_query}' found {len(retrieved_documents)} documents but none were relevant."
# Rewrite
rewrite_result = rewrite_query(current_query, previous_context)
current_query = rewrite_result['rewritten_query']
print(f"Retry {num_retries + 1}: {current_query}")
num_retries += 1
# Loop back to retrieval
Example 4: Vague troubleshooting
python
# Input
result = rewrite_query("won't work")
# Output
{
"rewritten_query": "troubleshooting device not functioning properly or not turning on",
"reasoning": "Clarified vague complaint into specific troubleshooting query"
}
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