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ruvnet-start

Discover and integrate RuV Stack projects when the user asks where to begin with ruvnet, which RuV tools fit a goal, or how the stack fits together.

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  • SKILL.md2.7 KB

SKILL.md(원문)

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Enter the RuV Stack

Use the user's goal and target environment to choose the smallest useful stack. Read the catalog, or call ruvnet_discover if the local companion is connected. The catalog is curated, dated, and lexical, not a live semantic index. An empty search is not evidence that no project exists.

Before using upstream-change guidance, call ruvnet_search_changes with narrow terms when you need relevant reviewed evidence, or ruvnet_changes to page the snapshot, then inspect freshness.state. Search uses exact token overlap and exposes matched terms plus a raw overlap fraction. Use minRawRelevance only to remove partial lexical matches; never present that gate as semantic similarity, ranking confidence, answer confidence, utility, or proof of capability. Use exact project and kind filters when appropriate. In the CLI these are --project <id> and --kind <kind> for both changes and search; in MCP they are the project and kind fields. Do not mix named changes options with its legacy positional form. Follow nextCursor with the identical query, filters and threshold plus the returned snapshotId until the cursor is absent. Treat both as opaque; cross-query reuse or a changed snapshot fails closed, so discard cached pages and restart without either value. Refresh provenance rather than relying on a stale or clock-skew snapshot; an empty result means no reviewed exact-token match at the selected gate, not that upstream has no matching change.

Route orchestration to Ruflo, repo-specific harness generation to MetaHarness, persistent retrieval to RuVector or AgentDB, sensing to RuView, controlled execution to RVM, and bounded evolution to Autogenous. Read the selected repository's current guidance before using its APIs. Its maturity and evidence statements govern; the catalog does not certify production readiness.

For connection requests read installation. Use the federation skill for cross-host coordination, the MetaHarness skill for generation and promotion, and the memory skill when persistent retrieval is justified. If those skills are not exposed, their SKILL.md files are siblings of this one.

Return the selected projects and source links, what each contributes, the principal uncertainty, and one runnable acceptance check. Do not install or execute merely because a project was suggested. Existing task authorization governs subsequent actions. Do not add external publishing, background schedules or broader data access to a discovery request.

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같은 저장소의 스킬

Connect to x.ruv.io, read federation channels and claims, or coordinate authorized work across Ruflo hosts with explicit identity and publishing boundaries.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

ruvnet/ruvnet2672026년 10월 17일 업데이트

Choose and validate RuVector or AgentDB memory for an agent application, including provenance, isolation, retention and workload-specific retrieval benchmarks.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

ruvnet/ruvnet2672026년 10월 17일 업데이트

Generate or evolve a repository-specific CLI, MCP and skills harness using MetaHarness, with bounded evaluation and explicit release authority.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

ruvnet/ruvnet2672026년 10월 17일 업데이트

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