메뉴
Index and search documents using semantic search (RAG). Automatically indexes files in the project's documents/ folder and enables natural language document retrieval.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Deterministic communication metrics for the mirrored Teams channels. Computes reply-latency distributions, after-hours share, burst/fragmentation index, unanswered blockers, and interruption-cascade depth from data/teams/*/messages.jsonl, and refreshes the hyperscreen dashboard data. Use before making ANY quantitative claim about team communication.
Generate an interactive "application simulator" — a tiny, agent-built React mock of an external app (SAP MD04, a CRM, an ERP form) that the trainee can click through. The trainee's clicks stream back to you via viewerState so you can coach in real time. Each simulator is a single self-contained HTML file under `out/simulators/<app>.simulator.html`. Use this skill when the expert asks for a simulator (often in the context of curriculum topic 4 "Werkzeuge") or when a guest asks "can I practice this somewhere?".
Co-author a new roleplay scenario with an expert. Interview the expert about the persona, topic, hints with point values, and evaluation criteria, draft the JSON, and on confirmation write it to roleplay/<slug>.roleplay.json. Use when the expert invokes "Author a roleplay scenario" from the menu, asks "let me add a customer call to practice", "I want to script a difficult buyer", or equivalent. The scenarios authored here are consumed at runtime by the roleplay-engine skill.
Maintains a project knowledge wiki at wiki/ as the agent's long-term memory, dynamically structured around the mission in wiki/_meta/mission.md. Use whenever the user shares a fact, decision, preference, requirement, or finding worth remembering; whenever the user says "remember this", "add to wiki", "we decided", "save", "note that", or "for the record"; whenever the user asks "what do we know about X", "have we considered Y", "what did we decide", "summarize what we have"; whenever a file in the project codebase contains information relevant to the mission and should be ingested; at the end of a session to consolidate findings; and at session start to load relevant context. Reads index first, deduplicates before writing, tracks provenance, appends history rather than overwriting, and creates stubs for mentioned-but-unresearched topics. Pure markdown, no embeddings, no external network.
Engineering Design Support System. Use this skill whenever the user is doing long-horizon product/engineering design and wants to capture intent, decisions, risks, assumptions, evidence, open questions, or hypotheses; whenever they say 'add a decision', 'propose a hypothesis', 'what did we rule out', 'what changed', 'generate a status report', 'show whitespots', 'sharpen this', 'mission', 'realign', or ask what the project knows; at session start to load mission + state; and as the curator/researcher/synthesizer/critic loops. The mission is the versioned north star; the RDF knowledge graph is the system of record for a typed dependency graph (Concept/Decision/Risk/Assumption/Evidence/OpenQuestion/Gap/Whitespot/Hypothesis/Test); the scrapbook is a projected view; the wiki is synthesized prose; hypotheses run as stateful workflows. Pull-only: never push to the engineer except a critic mission-contradiction.
Use this skill whenever the user wants to take structured notes, collect ideas, organize project requirements, or manage a project notebook — trigger on phrases like 'scrapbook', 'add a note', 'what have we captured', 'notebook', 'show my notes', 'what should I focus on', 'jot this down', or any request to review, prioritize, or organize project items. Reads and writes to the project scrapbook via MCP tools, presenting content as a structured hierarchy with priorities and focus levels.
| name | document-search |
| description | Index and search documents using semantic search (RAG). Automatically indexes files in the project's documents/ folder and enables natural language document retrieval. |
This skill enables semantic document search using Retrieval-Augmented Generation (RAG). Documents are chunked, embedded, and stored in a vector database for fast natural language retrieval.
Documents are organized into libraries (scopes) that control where content is indexed and searched:
project_<project_name> (e.g., project_my-app)documents/ folder are auto-indexed hereglobaldomain_<name> (e.g., domain_legal, domain_engineering)Trigger this skill when the user:
documents/ directory (auto-indexed via event rule)rag_index_documentIndex a file for semantic search. Supports PDF, Word, Excel, PowerPoint, and text/markdown files.
scope_name: "project_<name>" | "global" | "domain_<name>"
document_path: "documents/report.pdf" (relative to project root)
rag_index_textIndex a short text snippet (up to 2000 characters). Use for notes, extracted content, or quick knowledge capture.
scope_name: "project_<name>" | "global" | "domain_<name>"
text_part: "The authentication system uses JWT tokens with..."
rag_index_searchSearch indexed documents using natural language. Returns the top matching chunks with similarity scores.
scope_name: "project_<name>" | "global" | "domain_<name>"
search_query: "How does authentication work?"
When this skill is provisioned, an event rule is created that watches for new files in the documents/ directory. When a file is added:
rag_index_document toolSupported file formats for auto-indexing:
.md, .txt, .csv, .tsv, .json, .yaml, .xml.pdf (including scanned PDFs with OCR).docx, .xlsx, .pptx, .doc, .xls, .ppt, .odt, .ods, .odpUser: "Index the file documents/architecture.pdf"
Agent: Calls rag_index_document with scope_name="project_<current_project>"
and document_path="documents/architecture.pdf"
Agent: "Indexed architecture.pdf — 12 chunks stored in your project library."
User: "I'm looking for a document about the authentication flow"
Agent: Calls rag_index_search with scope_name="project_<current_project>"
and search_query="authentication flow"
Agent: "Found 3 relevant documents: ..."
User: "Search across all projects for compliance guidelines"
Agent: Calls rag_index_search with scope_name="global"
and search_query="compliance guidelines"
User: "Add this legal document to the legal domain library"
Agent: Calls rag_index_document with scope_name="domain_legal"
and document_path="documents/terms-of-service.pdf"
workspace/<project>/documents/documents/ are supported