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Analyze and optimize a prompt for the DQIII8 ecosystem. Classifies prompt type (LLM routing, image gen, TTS, agent instruction, Telegram), scores 5 dimensions, produces optimized version.
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| name | prompt-optimize |
| description | Analyze and optimize a prompt for the DQIII8 ecosystem. Classifies prompt type (LLM routing, image gen, TTS, agent instruction, Telegram), scores 5 dimensions, produces optimized version. |
| command | /prompt-optimize |
| allowed-tools | ["Read"] |
| user-invocable | true |
Analyze and optimize a prompt for maximum effectiveness in the DQIII8 ecosystem (LLM routing, scene director, TTS, Telegram bot, or agent instructions).
/prompt-optimize [the prompt text or file path]
Given the prompt in $ARGUMENTS:
| Dimension | What to check |
|---|---|
| Clarity | Unambiguous intent, no vague instructions |
| Specificity | Concrete examples, exact formats, numbers |
| Conciseness | No filler words, no redundant instructions |
| Output contract | Explicit format (JSON/markdown/text) stated |
| Edge cases | Handles empty input, failure, ambiguity |
Apply these DQIII8-specific improvements:
For LLM prompts:
Output ONLY JSON (no markdown): if structured output neededFor image prompts (fal.ai):
no text no watermarks no logosFor TTS narration:
For agent instructions:
## When NOT to use section if missingFor Telegram messages:
*bold* for key metrics, `code` for commandsPROMPT OPTIMIZATION REPORT
===========================
Type: [classified type]
Original score: [X]/50
Scores:
Clarity: [X]/10 — [one-line finding]
Specificity: [X]/10 — [one-line finding]
Conciseness: [X]/10 — [one-line finding]
Output contract:[X]/10 — [one-line finding]
Edge cases: [X]/10 — [one-line finding]
Key issues:
1. [issue + fix]
2. [issue + fix]
Optimized prompt:
---
[full optimized prompt text]
---
Optimized score: [X]/50
$ARGUMENTS