Search connected MCP enterprise sources with parallel subqueries and return ranked results.
npx skills add https://github.com/ilove323/comlan-skills --skill search-ilove323
Please help me install this Agent Skill. Skill: search Source: https://github.com/ilove323/comlan-skills/tree/main/enterprise-search/skills/search Command: npx skills add https://github.com/ilove323/comlan-skills --skill search-ilove323
This Skill enables fast, comprehensive enterprise search by querying all connected MCP sources in parallel and synthesizing the results into a single, actionable answer, eliminating manual cross-tool hunting and fragmented context.
Ask the assistant to "Search for recent decisions about the Aurora API redesign across all connected sources and show the most authoritative references with links and dates."
High-intent search queries and answers about installing and using this skill.
To search across multiple enterprise sources, this Skill queries all connected MCP sources in parallel for a single user query. It applies source-specific subqueries to chat, email, cloud storage, trackers, and CRM, then synthesizes findings into one answer.
Yes, you can filter enterprise search results using specific syntax. The Skill intelligently parses filters like from:, in:, after:, before:, and type: to narrow down results across connected sources based on your constraints.
Cross-source search handles duplicates by applying deduplication to the aggregated findings. It then ranks results by relevance and groups them with metadata like timestamps, authors, and links, ensuring authoritative references are surfaced first.
When a query fails to retrieve data from a connected source, the Skill provides graceful handling of partial failures. It returns the available synthesized results alongside an error report detailing which sources failed.
To prepare a meeting brief, ask the assistant to search for recent decisions across all connected sources. The Skill aggregates relevant findings from chat, email, and trackers, surfacing authoritative documents with links and dates first.
Yes, semantic search works for finding people and project statuses across connected MCP sources. The Skill parses user intent for decision, document, people, and status queries, returning deduplicated, ranked results with metadata.
Conte777Configure MCP servers and authenticate tools for Claude Code plugins.
kiryteoConsolidate search results into deduplicated, source-attributed narratives with confidence scoring.
kousenTranslate natural language questions into Osquery SQL queries and parse JSON results.
cy-waliConsolidate search results into deduplicated answers with source attribution.
