Write and optimize prompts for AI-generated outcomes across text and image models. Use when crafting prompts for LLMs (Claude, GPT, Gemini), image generators (Midjourney, DALL-E, Stable Diffusion, Imagen, Flux), or video generators (Veo, Runway). Covers prompt structure, style keywords, negative prompts, chain-of-thought, few-shot examples, iterative refinement, and domain-specific patterns for marketing, code, and creative writing.
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Craft effective prompts for AI text and image generation models.
[Role] You are a {expert type} specializing in {domain}.
[Context] {Background information and constraints}
[Task] {Specific action to perform}
[Format] {Output structure - JSON, markdown, list, etc.}
[Examples] {1-3 few-shot examples if needed}
[Subject] {main subject with details}
[Style] {artistic style, medium, artist reference}
[Composition] {framing, angle, lighting}
[Quality] {resolution modifiers, rendering quality}
[Negative] {what to avoid - only if supported}
Example: Portrait of a cyberpunk hacker, neon lighting, cinematic composition, detailed face, 8k, artstation quality --ar 16:9 --style raw
Load for detailed guidance:
| Topic | File | Description |
|---|---|---|
| LLM | references/llm-prompting.md | System prompts, few-shot, CoT, output formatting |
| Image | references/image-prompting.md | Style keywords, model syntax, negative prompts |
| Nano Banana | references/nano-banana.md | Gemini image prompting, narrative style, multi-image input |
| Advanced | references/advanced-techniques.md | Meta-prompting, chaining, A/B testing |
| Domain Index | references/domain-patterns.md | Universal pattern, links to domain files |
| Marketing | references/domain-marketing.md | Headlines, product copy, emails, ads |
| Code | references/domain-code.md | Functions, review, refactoring, debugging |
| Writing | references/domain-writing.md | Stories, characters, dialogue, editing |
| Data | references/domain-data.md | Extraction, analysis, comparison |
| Model | Key Syntax |
|---|---|
| Midjourney | --ar, --style, --chaos, --weird, --v 6.1 |
| DALL-E 3 | Natural language, no parameters, HD quality option |
| Stable Diffusion | Weighted tokens (word:1.2), LoRA, negative prompt |
| Flux | Natural prompts, style mixing, --guidance |
| Imagen/Veo | Descriptive text, aspect ratio, style references |
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[00] TnR ABSOLUTE RIGOR — Systemic Verification Doctrine. Forced cognitive exertion for high-stakes investigations. Mandates absolute deconstruction, mathematical proof chains, and ≥95% derived certainty. Zero-tolerance for heuristics or sentiment-based reasoning. Shortcuts are defined as intentional hallucinations.
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Configures 2-Agent workflow between PM and implementation roles. Use when user mentions 2-Agent, 2エージェント, PM連携設定, Cursor設定, Cursor連携, 2-agent運用. Do NOT load for: 単独運用, ワークフロー実行, ハンドオフ処理.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Appends relevant hashtags to journal entries based on content analysis. Intended for LLM execution.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Add a new AI coding agent to Agent Sandbox. Creates all required files (Dockerfile, templates, CI, docs) and wires the agent into the CLI, proxy, and build system.
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Add a new property to the AI agents database. Use when the user wants to add, create, or introduce a new column, property, field, or feature to track across all agents in the comparison matrix. Handles all four required steps - database updates, groups.json, table display, and GitHub issue templates.
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Add new Agent templates to the meta-agent-skills framework.
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