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Semantic search capability over the workspace Knowledge Graph using ChromaDB
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Basierend auf der SOC-Berufsklassifikation
Build animejs.com-grade scroll-driven kinetic pages with the vendored anime.js v4 bundle (website/vendor/anime.esm.min.js). Use when working on the prime-silo marketing site (website/) or any scrollytelling/animation surface. Contains the VERIFIED v4 API, the design language to emulate, the Prime-Silo set-piece specs, and the verification protocol.
Operate, analyze, or extend the LONGVIEW session-synthesis pipeline (cards, graph, reports, book, audiobook). Use when working on scripts/longview, reviewing card output, planning card schema changes, or debugging a LONGVIEW run.
Operate the Prime-Silo delivery board (delivery/) autonomously — select, claim, execute, verify, and log work contracts without frontier supervision. Use whenever picking up a task from delivery/board/BOARD.md, authoring a gate script, verifying another agent's task, or deciding which model tier should take which contract.
The Prime-Silo product experience contract — identity (Prime-Silo + Agent Benny, never Space Agent), earth-tone design tokens, progressive-discovery doctrine, and the "motion is meaning" choreography rules that bring animejs.com-grade kinetics INTO the app without violating the C0 calm contract. Use for any user-facing UI work in app/, server/pages/, or packaging/ (login, first-run, shell, mascot, Studio, Bridge).
DRAFT — pick up and deliver one delivery/tasks/ work contract under the six-sigma protocol (deterministic selection, TDD, allowlist discipline, author≠verifier). Use when asked to "take the next task", "work the board", or deliver a specific task id. Full mechanization lands with W1 (work next) and W2 (sandbox provisioning).
Create, patch, inspect, and remove widgets in the current space
| name | knowledge_search |
| description | Semantic search capability over the workspace Knowledge Graph using ChromaDB |
Use this skill when you need to answer questions or find information within the user's workspace documents. It is backed by ChromaDB and local embeddings. You can search semantically, list all available documents, or retrieve an entire document's contents.
search_knowledge_workspace(query, workspace="default", top_k=20, active_nexus_id=None) - Perform semantic search and return relevant text chunks with relevance scores.list_available_documents(workspace="default") - Returns a list of all documents currently ingested into the ChromaDB knowledge base.read_full_document(document_name, workspace="default") - Retrieves the complete text of a specified document.Action: search_knowledge_workspace
Action Input: {"query": "governance policies for the Pypes engine"}
Observation: Returns chunks of requirement.md discussing Pypes engine governance.