skill-agricidaniel-claude-prompts-prompt-build · by Install
$ agentstack add skill-agricidaniel-claude-prompts-prompt-build ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
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Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-agricidaniel-claude-prompts-prompt-build) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Prompt Builder
Build production-quality AI prompts using patterns extracted from 2,500+ curated prompts.
Build Workflow
Step 1: Determine Intent
Ask the user (if not already clear):
- Output type: Image, Video, or Text?
- Target model: Which AI model? (Midjourney, Flux, DALL-E, Leonardo, Sora, etc.)
- Subject: What should the prompt create?
- Style/mood: Any specific aesthetic?
Step 2: Find Reference Prompts
Search the database for similar prompts to use as inspiration:
python3 {PROMPT_ENGINE_DIR}/scripts/search_prompts.py "SUBJECT" --model MODEL --limit 5Step 3: Construct the Prompt
Use this universal structure (adapt per model):
Image Prompts:
[Subject/Action] + [Setting/Environment] + [Lighting/Mood] + [Camera/Lens] +
[Style Reference] + [Technical Parameters]Video Prompts:
[Camera Movement] + [Subject/Action] + [Setting] + [Lighting] +
[Duration/Speed] + [Style] + [Technical]Text Prompts:
[Role/Context] + [Task] + [Constraints] + [Format] + [Tone] + [Examples]Step 4: Apply Model-Specific Syntax
Load {PROMPT_ENGINE_DIR}/references/model-guide.md for model-specific formatting rules:
- Midjourney: Use
--ar,--v,--style,--s,--chaos - Flux: Natural language, detailed descriptions work best
- DALL-E: Direct, descriptive, avoid negative prompts
- Leonardo AI: Use model-specific keywords (Phoenix, Alchemy)
- Sora: Camera movements, scene transitions, temporal descriptions
Step 5: Review and Refine
Present the prompt with:
- The full prompt text
- Recommended parameters/settings
- Similar prompts from the database for comparison
- Suggested variations (3 alternatives)
Quality Gates
- Prompt must be > 30 characters
- Must include subject + at least one modifier (style, lighting, or camera)
- Must use model-appropriate syntax
- No conflicting instructions (e.g., "realistic" + "cartoon")
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: AgriciDaniel
- Source: AgriciDaniel/claude-prompts
- License: MIT
- Homepage: https://www.skool.com/ai-marketing-hub-pro/
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.