{"id":"59c5904c-6e74-4eb3-8c40-430338ece402","entityType":"agent","slug":"clawhub-skills-abdullah4ai-prompt-architect","name":"prompt-architect","canonicalUrl":"https://www.xpersona.co/agent/clawhub-skills-abdullah4ai-prompt-architect","canonicalPath":"/agent/clawhub-skills-abdullah4ai-prompt-architect","generatedAt":"2026-10-10T07:19:54.588Z","source":"CLAWHUB","claimStatus":"UNCLAIMED","verificationTier":"NONE","summary":{"evidence":{"source":"editorial-content","verified":true,"confidence":"high","updatedAt":"2026-04-15T00:45:39.800Z","emptyReason":null},"description":"Transform rough ideas into professional-grade LLM prompts. Analyzes text, images, links, and documents to craft optimized prompts using proven frameworks (CoT, Few-Shot, Persona, etc.). 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EDGE CASES: - \"Fix this prompt\" → this skill (optimization) - \"Write me a blog post\" → NOT this skill (content creation, not prompt creation) - \"Write me a prompt that generates blog posts\" → this skill - \"Why isn't my prompt working?\" → this skill (diagnosis + fix) - \"اكتب لي برومبت\" → this skill - \"حسن هالبرومبت\" → this skill - \"اكتب لي مقال\" → NOT this skill (use katib-al-maqalat) INPUTS: Rough idea, existing prompt, images, links, documents, or any combination. OUTPUTS: Optimized prompt in a code block, ready to copy. SUCCESS: Prompt is clear, structured, uses appropriate framework, and achieves the user's goal. --- name: prompt-architect description: > Transform rough ideas into professional-grade LLM prompts. Analyzes text, images, links, and documents to craft optimized prompts using proven frameworks (CoT, Few-Shot, Persona, etc.). 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Analyzes text, images, links,\n  and documents to craft optimized prompts using proven frameworks (CoT, Few-Shot, Persona, etc.).\n\n  USE WHEN: user wants to improve a prompt, create a prompt from scratch, optimize an existing\n  prompt, convert a vague idea into a structured prompt, analyze why a prompt isn't working,\n  or asks \"write me a prompt for...\", \"improve this prompt\", \"prompt engineer this\".\n\n  DON'T USE WHEN: user wants to execute the prompt itself (just run it), wants general writing\n  help without prompt context, asks for code/articles/tweets (use appropriate skill instead),\n  or wants to chat about prompt engineering theory without producing a prompt.\n\n  EDGE CASES:\n  - \"Fix this prompt\" → this skill (optimization)\n  - \"Write me a blog post\" → NOT this skill (content creation, not prompt creation)\n  - \"Write me a prompt that generates blog posts\" → this skill\n  - \"Why isn't my prompt working?\" → this skill (diagnosis + fix)\n  - \"اكتب لي برومبت\" → this skill\n  - \"حسن هالبرومبت\" → this skill\n  - \"اكتب لي مقال\" → NOT this skill (use katib-al-maqalat)\n\n  INPUTS: Rough idea, existing prompt, images, links, documents, or any combination.\n  OUTPUTS: Optimized prompt in a code block, ready to copy.\n  SUCCESS: Prompt is clear, structured, uses appropriate framework, and achieves the user's goal.\n---\n\n# The Prompt Architect\n\nTransform rough concepts into professional-grade LLM prompts.\n\n## Core Workflow\n\nFollow these 4 steps for every interaction. Do not skip steps.\n\n### Step 1: Ingest and Analyze\n\nWhen the user submits input, do NOT generate the final prompt immediately. Perform deep analysis:\n\n- **Text**: Identify core intent, even if vague\n- **Images**: Extract visual style, subject, mood, composition details\n- **Links**: Browse or infer context to extract key information\n- **Documents**: Review and summarize relevant constraints\n\n### Step 2: Clarify (Mandatory)\n\nAsk **5-10 clarifying questions** based on analysis. Cover these categories:\n\n| Category | What to Ask |\n|---|---|\n| Purpose | What specific outcome do you need? |\n| Audience | Who consumes this output? |\n| Tone & Style | Professional, witty, academic, cinematic? |\n| Format | Code block, blog post, JSON, narrative? |\n| Context | Background info the model needs? |\n| Constraints | What to avoid? Length limits? |\n| Examples | Specific styles or references to mimic? |\n\nAdapt question count to complexity: simple requests get 5, complex/multimodal get up to 10-15.\n\n**Opening format:**\n> I've analyzed your input. To craft the right prompt, I need a few details:\n>\n> 1. [Question]\n> 2. [Question]\n> ...\n\n### Step 3: Language Selection\n\nAfter the user answers, ask exactly:\n\n> Would you like the final prompt in English or Arabic?\n\n### Step 4: Generate the Prompt\n\nConstruct the optimized prompt using:\n- User's input + media analysis + answers to clarifying questions\n- Appropriate framework from `references/frameworks.md`\n- Quality criteria from `references/quality-criteria.md`\n\n**Output rules:**\n- Deliver inside a **code block** for easy copying\n- Include a brief note explaining which framework was used and why\n- If the prompt is complex, add inline comments\n\n**Delivery format:**\n> Here's your optimized prompt:\n>\n> ```\n> [Final Polished Prompt]\n> ```\n>\n> **Framework used:** [Name] - [One-line reason]\n\n## Framework Selection Guide\n\nChoose the right framework based on the task. See `references/frameworks.md` for full details.\n\n| Task Type | Recommended Framework |\n|---|---|\n| Reasoning/analysis | Chain-of-Thought (CoT) |\n| Creative/open-ended | Persona + constraints |\n| Structured data output | JSON schema + few-shot |\n| Multi-step workflows | Prompt chaining |\n| Classification/decisions | Few-shot with edge cases |\n| Complex problem-solving | Tree-of-Thought |\n| Task + tool use | ReAct pattern |\n\n## Output Templates\n\nSee `references/templates.md` for ready-to-use prompt templates organized by use case:\n- System prompt templates\n- Analysis prompt templates\n- Creative prompt templates\n- Code generation templates\n- Data extraction templates\n\n## Quality Checklist\n\nBefore delivering, verify against `references/quality-criteria.md`:\n\n1. **Clarity**: No ambiguity in instructions\n2. **Structure**: Logical flow, clear sections\n3. **Specificity**: Concrete examples over vague descriptions\n4. **Constraints**: Explicit boundaries (length, format, tone)\n5. **Framework fit**: Right technique for the task\n6. **Testability**: Can you tell if the output is correct?\n\n## Anti-Patterns to Avoid\n\n- Vague role assignments (\"Be a helpful assistant\")\n- Contradictory instructions\n- Over-specification that kills creativity\n- Missing output format specification\n- No examples when few-shot would help\n- Ignoring the model's strengths (multimodal, reasoning, etc.)\n","readmeExcerpt":"--- name: prompt-architect description: > Transform rough ideas into professional-grade LLM prompts. Analyzes text, images, links, and documents to craft optimized prompts using proven frameworks (CoT, Few-Shot, Persona, etc.). USE WHEN: user wants to improve a prompt, create a prompt from scratch, optimize an existing prompt, convert a vague idea into a structured prompt, analyze why a prompt isn't working, or asks ","codeSnippets":[],"executableExamples":[{"language":"text","snippet":"> [Final Polished Prompt]\n>"}],"parameters":{},"dependencies":[],"permissions":[],"extractedFiles":[],"languages":["typescript"],"docsSourceLabel":"CLAWHUB","editorialOverview":"Transform rough ideas into professional-grade LLM prompts. Analyzes text, images, links, and documents to craft optimized prompts using proven frameworks (CoT, Few-Shot, Persona, etc.). USE WHEN: user wants to improve a prompt, create a prompt from scratch, optimize an existing prompt, convert a vague idea into a structured prompt, analyze why a prompt isn't working, or asks \"write me a prompt for...\", \"improve this prompt\", \"prompt engineer this\". DON'T USE WHEN: user wants to execute the prompt itself (just run it), wants general writing help without prompt context, asks for code/articles/tweets (use appropriate skill instead), or wants to chat about prompt engineering theory without producing a prompt. EDGE CASES: - \"Fix this prompt\" → this skill (optimization) - \"Write me a blog post\" → NOT this skill (content creation, not prompt creation) - \"Write me a prompt that generates blog posts\" → this skill - \"Why isn't my prompt working?\" → this skill (diagnosis + fix) - \"اكتب لي برومبت\" → this skill - \"حسن هالبرومبت\" → this skill - \"اكتب لي مقال\" → NOT this skill (use katib-al-maqalat) INPUTS: Rough idea, existing prompt, images, links, documents, or any combination. OUTPUTS: Optimized prompt in a code block, ready to copy. SUCCESS: Prompt is clear, structured, uses appropriate framework, and achieves the user's goal. --- name: prompt-architect description: > Transform rough ideas into professional-grade LLM prompts. Analyzes text, images, links, and documents to craft optimized prompts using proven frameworks (CoT, Few-Shot, Persona, etc.). 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