enterprise-information-search-enterprise-artifact-searchMulti-hop evidence search + structured extraction over enterprise artifact datasets (docs/chats/meetings/PRs/URLs). Strong disambiguation to prevent cross-pr...
Install via ClawdBot CLI:
clawdbot install wu-uk/enterprise-information-search-enterprise-artifact-searchGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Sep 1, 2026
An analyst needs to find the latest market research report about their product and extract the author's employee ID. The skill efficiently locates the correct report, verifies product grounding, and extracts structured data without loading entire documents.
A company has multiple product lines with similar document types. The skill prevents confusion by enforcing strict product grounding, ensuring that only artifacts about the target product are used, thus avoiding incorrect answers.
During an audit, a compliance officer must trace a decision from a meeting transcript to a related document and then to a PR. The skill follows references across artifact types, providing evidence pointers for regulatory compliance.
When asked 'Who reviewed the document?', the skill avoids the common mistake of listing meeting participants as reviewers. It extracts key reviewers by following specific rules, improving accuracy in collaborative environments.
An AI assistant with limited context must answer questions about a vast collection of documents, chats, and meetings. The skill retrieves only relevant snippets and structured entities, saving 70-95% context usage.
Offer the skill as part of an AI-powered enterprise search platform, charging a subscription fee per user. Revenue is recurring and scales with the number of users and data volume.
Use the skill internally to provide faster, more accurate research and analysis for clients. Revenue comes from billable hours and project-based fees, leveraging the skill to increase productivity.
Expose the skill as an API for developers to integrate into their own applications. Revenue is generated through usage-based pricing (e.g., per query or per data retrieval).
💬 Integration Tip
Integrate the skill as a subagent in your existing retrieval system, and ensure your data is structured with clear metadata (product tags, doc types) to fully leverage the anti-distractor filtering.
Scored Sep 1, 2026
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