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Break down complex questions into multi-source searches and rank useful results.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "search-strategy" skill from askskill: 1. Download https://raw.githubusercontent.com/anthropics/knowledge-work-plugins/main/enterprise-search/skills/search-strategy/SKILL.md 2. Save it as ~/.claude/skills/search-strategy/SKILL.md 3. Reload skills and tell me it's ready
Break down this task into a multi-step search plan: 'Research pricing, core features, and user feedback for three overseas AI note-taking products.' Specify the best sources, source-specific queries, and fallback strategies when information is missing.
A structured search plan with task decomposition, source-specific queries, result priorities, and fallback strategies.
I want to understand 'evaluation methods for RAG in enterprise knowledge bases.' Split this into search subtasks for academic databases, technical blogs, and product docs, and provide keywords and filters for each source type.
A source-by-source list of search subtasks with query expressions, filtering tips, and relevance criteria.
A user only says, 'Help me find the latest model safety standards.' Design a search strategy that handles ambiguity: identify possible meanings first, then generate search plans for regulations, industry standards, and vendor best practices, and explain fallback steps if results are insufficient.
A clarify-then-search strategy covering ambiguity branches, source selection, query syntax, and fallback paths when results are weak.
If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.
The core intelligence behind enterprise search. Transforms a single natural language question into parallel, source-specific searches and produces ranked, deduplicated results.
Turn this:
"What did we decide about the API migration timeline?"
Into targeted searches across every connected source:
~~chat: "API migration timeline decision" (semantic) + "API migration" in:#engineering after:2025-01-01
~~knowledge base: semantic search "API migration timeline decision"
~~project tracker: text search "API migration" in relevant workspace
Then synthesize the results into a single coherent answer.
Classify the user's question to determine search strategy:
| Query Type | Example | Strategy |
|---|---|---|
| Decision | "What did we decide about X?" | Prioritize conversations (~~chat, email), look for conclusion signals |
| Status | "What's the status of Project Y?" | Prioritize recent activity, task trackers, status updates |
| Document | "Where's the spec for Z?" | Prioritize Drive, wiki, shared docs |
| Person | "Who's working on X?" | Search task assignments, message authors, doc collaborators |
| Factual | "What's our policy on X?" | Prioritize wiki, official docs, then confirmatory conversations |
| Temporal | "When did X happen?" | Search with broad date range, look for timestamps |
| Exploratory | "What do we know about X?" | Broad search across all sources, synthesize |
From the query, extract:
For each available source, create one or more targeted queries:
Prefer semantic search for:
Prefer keyword search for:
Generate multiple query variants when the topic might be referred to differently:
User: "Kubernetes setup"
Queries: "Kubernetes", "k8s", "cluster", "container orchestration"
Semantic search (natural language questions):
query: "What is the status of project aurora?"
Keyword search:
query: "project aurora status update"
query: "aurora in:#engineering after:2025-01-15"
query: "from:<@UserID> aurora"
Filter mapping:
| Enterprise filter | ~~chat syntax |
|---|---|
from:sarah | from:sarah or from:<@USERID> |
in:engineering | in:engineering |
after:2025-01-01 | after:2025-01-01 |
before:2025-02-01 | before:2025-02-01 |
type:thread | is:thread |
type:file | has:file |
Semantic search — Use for conceptual queries:
descriptive_query: "API migration timeline and decision rationale"
Keyword search — Use for exact terms:
query: "API migration"
query: "\"API migration timeline\"" (exact phrase)
Task search:
text: "API migration"
workspace: [workspace_id]
completed: false (for status queries)
assignee_any: "me" (for "my tasks" queries)
Filter mapping:
| Enterprise filter | ~~project tracker parameter |
|---|---|
from:sarah | assignee_any or created_by_any |
after:2025-01-01 | modified_on_after: "2025-01-01" |
…
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