# Send RAG Engineer to your agent Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually. ## Fast path - Download the package from Yavira. - Extract it into a folder your agent can access. - Paste one of the prompts below and point your agent at the extracted folder. ## Suggested prompts ### New install ```text I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete. ``` ### Upgrade existing ```text I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run. ``` ## Machine-readable fields ```json { "schemaVersion": "1.0", "item": { "slug": "mupeng-rag-engineer", "name": "RAG Engineer", "source": "tencent", "type": "skill", "category": "AI 智能", "sourceUrl": "https://clawhub.ai/mupengi-bot/mupeng-rag-engineer", "canonicalUrl": "https://clawhub.ai/mupengi-bot/mupeng-rag-engineer", "targetPlatform": "OpenClaw" }, "install": { "downloadUrl": "/downloads/mupeng-rag-engineer", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=mupeng-rag-engineer", "sourcePlatform": "tencent", "targetPlatform": "OpenClaw", "packageFormat": "ZIP package", "primaryDoc": "SKILL.md", "includedAssets": [ "SKILL.md" ], "downloadMode": "redirect", "sourceHealth": { "source": "tencent", "slug": "mupeng-rag-engineer", "status": "healthy", "reason": "direct_download_ok", "recommendedAction": "download", "checkedAt": "2026-05-03T07:48:05.361Z", "expiresAt": "2026-05-10T07:48:05.361Z", "httpStatus": 200, "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=mupeng-rag-engineer", "contentType": "application/zip", "probeMethod": "head", "details": { "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=mupeng-rag-engineer", "contentDisposition": "attachment; filename=\"mupeng-rag-engineer-1.0.0.zip\"", "redirectLocation": null, "bodySnippet": null, "slug": "mupeng-rag-engineer" }, "scope": "item", "summary": "Item download looks usable.", "detail": "Yavira can redirect you to the upstream package for this item.", "primaryActionLabel": "Download for OpenClaw", "primaryActionHref": "/downloads/mupeng-rag-engineer" }, "validation": { "installChecklist": [ "Use the Yavira download entry.", "Review SKILL.md after the package is downloaded.", "Confirm the extracted package contains the expected setup assets." ], "postInstallChecks": [ "Confirm the extracted package includes the expected docs or setup files.", "Validate the skill or prompts are available in your target agent workspace.", "Capture any manual follow-up steps the agent could not complete." ] } }, "links": { "detailUrl": "https://openagent3.xyz/skills/mupeng-rag-engineer", "downloadUrl": "https://openagent3.xyz/downloads/mupeng-rag-engineer", "agentUrl": "https://openagent3.xyz/skills/mupeng-rag-engineer/agent", "manifestUrl": "https://openagent3.xyz/skills/mupeng-rag-engineer/agent.json", "briefUrl": "https://openagent3.xyz/skills/mupeng-rag-engineer/agent.md" } } ``` ## Documentation ### RAG Engineer 🐧 Role: RAG Systems Architect I bridge the gap between raw documents and LLM understanding. I know that retrieval quality determines generation quality - garbage in, garbage out. I obsess over chunking boundaries, embedding dimensions, and similarity metrics because they make the difference between helpful and hallucinating. ### Capabilities Vector embeddings and similarity search Document chunking and preprocessing Retrieval pipeline design Semantic search implementation Context window optimization Hybrid search (keyword + semantic) ### Requirements LLM fundamentals Understanding of embeddings Basic NLP concepts ### Semantic Chunking Chunk by meaning, not arbitrary token counts - Use sentence boundaries, not token limits - Detect topic shifts with embedding similarity - Preserve document structure (headers, paragraphs) - Include overlap for context continuity - Add metadata for filtering ### Hierarchical Retrieval Multi-level retrieval for better precision - Index at multiple chunk sizes (paragraph, section, document) - First pass: coarse retrieval for candidates - Second pass: fine-grained retrieval for precision - Use parent-child relationships for context ### Hybrid Search Combine semantic and keyword search - BM25/TF-IDF for keyword matching - Vector similarity for semantic matching - Reciprocal Rank Fusion for combining scores - Weight tuning based on query type ### ⚠️ Sharp Edges IssueSeveritySolutionFixed-size chunking breaks sentences and contexthighUse semantic chunking that respects document structure:Pure semantic search without metadata pre-filteringmediumImplement hybrid filtering:Using same embedding model for different content typesmediumEvaluate embeddings per content type:Using first-stage retrieval results directlymediumAdd reranking step:Cramming maximum context into LLM promptmediumUse relevance thresholds:Not measuring retrieval quality separately from generationhighSeparate retrieval evaluation:Not updating embeddings when source documents changemediumImplement embedding refresh:Same retrieval strategy for all query typesmediumImplement hybrid search: ### Related Skills Works well with: ai-agents-architect, prompt-engineer, database-architect, backend 🐧 Built by 무펭이 β€” 무펭이즘(Mupengism) μƒνƒœκ³„ μŠ€ν‚¬ ## Trust - Source: tencent - Verification: Indexed source record - Publisher: mupengi-bot - Version: 1.0.0 ## Source health - Status: healthy - Item download looks usable. - Yavira can redirect you to the upstream package for this item. - Health scope: item - Reason: direct_download_ok - Checked at: 2026-05-03T07:48:05.361Z - Expires at: 2026-05-10T07:48:05.361Z - Recommended action: Download for OpenClaw ## Links - [Detail page](https://openagent3.xyz/skills/mupeng-rag-engineer) - [Send to Agent page](https://openagent3.xyz/skills/mupeng-rag-engineer/agent) - [JSON manifest](https://openagent3.xyz/skills/mupeng-rag-engineer/agent.json) - [Markdown brief](https://openagent3.xyz/skills/mupeng-rag-engineer/agent.md) - [Download page](https://openagent3.xyz/downloads/mupeng-rag-engineer)