# Send Prompt Architect 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": "prompt-architect", "name": "Prompt Architect", "source": "tencent", "type": "skill", "category": "AI 智能", "sourceUrl": "https://clawhub.ai/Abdullah4AI/prompt-architect", "canonicalUrl": "https://clawhub.ai/Abdullah4AI/prompt-architect", "targetPlatform": "OpenClaw" }, "install": { "downloadUrl": "/downloads/prompt-architect", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=prompt-architect", "sourcePlatform": "tencent", "targetPlatform": "OpenClaw", "packageFormat": "ZIP package", "primaryDoc": "SKILL.md", "includedAssets": [ "SKILL.md", "references/frameworks.md", "references/quality-criteria.md", "references/templates.md" ], "downloadMode": "redirect", "sourceHealth": { "source": "tencent", "status": "healthy", "reason": "direct_download_ok", "recommendedAction": "download", "checkedAt": "2026-04-30T16:55:25.780Z", "expiresAt": "2026-05-07T16:55:25.780Z", "httpStatus": 200, "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=network", "contentType": "application/zip", "probeMethod": "head", "details": { "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=network", "contentDisposition": "attachment; filename=\"network-1.0.0.zip\"", "redirectLocation": null, "bodySnippet": null }, "scope": "source", "summary": "Source download looks usable.", "detail": "Yavira can redirect you to the upstream package for this source.", "primaryActionLabel": "Download for OpenClaw", "primaryActionHref": "/downloads/prompt-architect" }, "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/prompt-architect", "downloadUrl": "https://openagent3.xyz/downloads/prompt-architect", "agentUrl": "https://openagent3.xyz/skills/prompt-architect/agent", "manifestUrl": "https://openagent3.xyz/skills/prompt-architect/agent.json", "briefUrl": "https://openagent3.xyz/skills/prompt-architect/agent.md" } } ``` ## Documentation ### The Prompt Architect Transform rough concepts into professional-grade LLM prompts. ### Core Workflow Follow these 4 steps for every interaction. Do not skip steps. ### Step 1: Ingest and Analyze When the user submits input, do NOT generate the final prompt immediately. Perform deep analysis: Text: Identify core intent, even if vague Images: Extract visual style, subject, mood, composition details Links: Browse or infer context to extract key information Documents: Review and summarize relevant constraints ### Step 2: Clarify (Mandatory) Ask 5-10 clarifying questions based on analysis. Cover these categories: CategoryWhat to AskPurposeWhat specific outcome do you need?AudienceWho consumes this output?Tone & StyleProfessional, witty, academic, cinematic?FormatCode block, blog post, JSON, narrative?ContextBackground info the model needs?ConstraintsWhat to avoid? Length limits?ExamplesSpecific styles or references to mimic? Adapt question count to complexity: simple requests get 5, complex/multimodal get up to 10-15. Opening format: I've analyzed your input. To craft the right prompt, I need a few details: [Question] [Question] ... ### Step 3: Language Selection After the user answers, ask exactly: Would you like the final prompt in English or Arabic? ### Step 4: Generate the Prompt Construct the optimized prompt using: User's input + media analysis + answers to clarifying questions Appropriate framework from references/frameworks.md Quality criteria from references/quality-criteria.md Output rules: Deliver inside a code block for easy copying Include a brief note explaining which framework was used and why If the prompt is complex, add inline comments Delivery format: Here's your optimized prompt: [Final Polished Prompt] Framework used: [Name] - [One-line reason] ### Framework Selection Guide Choose the right framework based on the task. See references/frameworks.md for full details. Task TypeRecommended FrameworkReasoning/analysisChain-of-Thought (CoT)Creative/open-endedPersona + constraintsStructured data outputJSON schema + few-shotMulti-step workflowsPrompt chainingClassification/decisionsFew-shot with edge casesComplex problem-solvingTree-of-ThoughtTask + tool useReAct pattern ### Output Templates See references/templates.md for ready-to-use prompt templates organized by use case: System prompt templates Analysis prompt templates Creative prompt templates Code generation templates Data extraction templates ### Quality Checklist Before delivering, verify against references/quality-criteria.md: Clarity: No ambiguity in instructions Structure: Logical flow, clear sections Specificity: Concrete examples over vague descriptions Constraints: Explicit boundaries (length, format, tone) Framework fit: Right technique for the task Testability: Can you tell if the output is correct? ### Anti-Patterns to Avoid Vague role assignments ("Be a helpful assistant") Contradictory instructions Over-specification that kills creativity Missing output format specification No examples when few-shot would help Ignoring the model's strengths (multimodal, reasoning, etc.) ## Trust - Source: tencent - Verification: Indexed source record - Publisher: Abdullah4AI - Version: 1.0.0 ## Source health - Status: healthy - Source download looks usable. - Yavira can redirect you to the upstream package for this source. - Health scope: source - Reason: direct_download_ok - Checked at: 2026-04-30T16:55:25.780Z - Expires at: 2026-05-07T16:55:25.780Z - Recommended action: Download for OpenClaw ## Links - [Detail page](https://openagent3.xyz/skills/prompt-architect) - [Send to Agent page](https://openagent3.xyz/skills/prompt-architect/agent) - [JSON manifest](https://openagent3.xyz/skills/prompt-architect/agent.json) - [Markdown brief](https://openagent3.xyz/skills/prompt-architect/agent.md) - [Download page](https://openagent3.xyz/downloads/prompt-architect)