Continue a document with genuinely new appended content only.
Langue du texte source : chinois
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SkillsMP a collecté 23 skills depuis NxcoreAI/EverRoom. Ouvrez un skill pour examiner sa source et ses détails.
Affichage de 23 skills collectés sur 23.
Continue a document with genuinely new appended content only.
Langue du texte source : chinois
Draft a brand-new document from the instruction and material, returning the title and chunked body markdown.
Langue du texte source : chinois
Produce minimal patch hunks against the supplied document snapshot for the requested edits.
Langue du texte source : chinois
Organize a newly created Context Room from its title and description into structured room info. Use for room-enrich tasks.
Langue du texte source : chinois
One-shot export of a fixed Room document version to Feishu or Notion via the preinstalled lark-cli / OpenConnector channel, with explicit auth and confirmation gates.
Langue du texte source : chinois
Compute Room overview corrections—citation corrections as per-claim edits and general corrections as a single proposal.
Langue du texte source : chinois
Rewrite only the supplied selectedText per the instruction and return the replacement fragment.
Langue du texte source : chinois
Suggest names for a Context Room created by merging two rooms. Use for merge-name tasks.
Langue du texte source : chinois
Recommend Context Rooms to create from a user description, uploaded materials, and extracted entity anchors.
Langue du texte source : chinois
Generate a source-grounded Context Room overview from Room facts and applied user corrections.
Langue du texte source : chinois
Extract searchable entities and a concise summary from a document for EverRoom knowledge routing.
Langue du texte source : chinois
Regenerate a Context Room brief from the room's current documents and context. Use for brief-refresh tasks.
Langue du texte source : chinois
Parse and validate one authorized Office or PDF file version without overstating unsupported multimodal coverage.
Langue du texte source : anglais
将当天的多源事实整理为去重、按时间排序、可追溯的日记时间线。
Langue du texte source : chinois
Judge whether ingested materials contain information worth retaining in EverRoom.
Langue du texte source : chinois
Normalize read-only Gmail messages into EverRoom email records during connector synchronization. Use when the job service is gmail and resourceType is email.
Langue du texte source : anglais
Normalize read-only Google Calendar events into EverRoom calendar records during connector synchronization. Use when the job service is google_calendar and resourceType is calendar.
Langue du texte source : anglais
Normalize read-only Notion pages into EverRoom document records during connector synchronization. Use when the job service is notion and resourceType is document.
Langue du texte source : anglais
A structured method for evidence-based analysis of supplied content
Langue du texte source : anglais
Complete a rich-text document at the cursor using the EverRoom FIM protocol. Use for editor cursor-completion requests.
Langue du texte source : anglais
Judge whether two evidence-backed names refer to the same real-world entity.
Langue du texte source : chinois
Create canonical Room registration material from accumulated entity evidence.
Langue du texte source : chinois
Reconstruct a complete, searchable memory from an untrusted meeting or conversation transcript. Use for EverRoom background transcription-summary jobs when the caller requires the fixed memory JSON contract.
Langue du texte source : anglais