search-strategy-handling-ambiguity
Sub-skill of search-strategy: Handling Ambiguity.
Best use case
search-strategy-handling-ambiguity is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Sub-skill of search-strategy: Handling Ambiguity.
Teams using search-strategy-handling-ambiguity should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/handling-ambiguity/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How search-strategy-handling-ambiguity Compares
| Feature / Agent | search-strategy-handling-ambiguity | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Sub-skill of search-strategy: Handling Ambiguity.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Handling Ambiguity ## Handling Ambiguity When a query is ambiguous, prefer asking one focused clarifying question over guessing: ``` Ambiguous: "search for the migration" → "I found references to a few migrations. Are you looking for: 1. The database migration (Project Phoenix) 2. The cloud migration (AWS → GCP) 3. The email migration (Exchange → O365)" ``` Only ask for clarification when: - There are genuinely distinct interpretations that would produce very different results - The ambiguity would significantly affect which sources to search Do NOT ask for clarification when: - The query is clear enough to produce useful results - Minor ambiguity can be resolved by returning results from multiple interpretations
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