Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Prompt Architect
Transform rough ideas into professional-grade LLM prompts. Analyzes text, images, links, and documents to craft optimized prompts using proven frameworks (Co...
skill openclawclawhub Free
Transform rough ideas into professional-grade LLM prompts. Analyzes text, images, links, and documents to craft optimized prompts using proven frameworks (Co...
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0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, references/frameworks.md, references/quality-criteria.md, references/templates.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- 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.
New install
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
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.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- Abdullah4AI
- Source page
- View original listing
- Canonical URL
- Open canonical page
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.)
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
4 Docs
- SKILL.md
- references/frameworks.md
- references/quality-criteria.md
- references/templates.md