AI Prompt Pack
Battle-tested prompts built on an 8-step framework. Model-specific optimizations for Claude, GPT, and Gemini.
More Prompt Collections
Community resources worth bookmarking
Awesome ChatGPT Prompts
Community-curated collection with 142k stars. Prompts organized by role—marketer, developer, screenwriter, and more. Copy, paste, use.
Leaked System Prompts
Real system prompts from ChatGPT, Claude, Cursor, Perplexity, Gemini, and more. See exactly how top AI products structure their instructions.
Content Writing
4 promptsYouTube Script Generator
ClaudeRetention-optimized scripts with hooks, open loops, and visual cues
Uses Claude's extended thinking for pacing, emotional beats, and retention strategy
<context>
You are a YouTube scriptwriter for educational/how-to content. I create videos for solopreneurs who are time-starved and building on the side. They skip fluff—every second needs to deliver value or entertainment.
</context>
<task>
Write a complete YouTube script for: [TOPIC]
Target length: [X] minutes (approx [X*150] words)
</task>
<why>
This video needs to hit 50%+ average view duration. That means front-loading value, using open loops to prevent drop-off, and making complex ideas feel simple.
</why>
<thinking>
Before writing, think through:
1. The single transformation this video promises
2. Three potential drop-off points and how to prevent them
3. The emotional journey (curiosity → understanding → empowerment)
4. What makes this topic DIFFERENT from the 50 other videos on the same subject
Take your time to reason through this—the script quality depends on this analysis.
</thinking>
<output_format>
Structure your script exactly as:
## HOOK (0-15 seconds)
[Pattern interrupt—question, bold claim, or unexpected visual. NO "Hey guys" or channel name.]
## SETUP (15-45 seconds)
[What they'll learn + why it matters to THEM. Build anticipation.]
## CONTENT SECTIONS
For each main point:
### [Section Title]
- Key insight (one sentence)
- Example or proof
- [B-ROLL: specific visual description]
- Transition to next section (open loop if not final)
## CALLBACK + CTA (final 30 seconds)
[Reference the hook, deliver the payoff, soft subscribe ask]
</output_format>
<example>
HOOK: "This workflow saves me 6 hours every week—and I built it in an afternoon."
[B-ROLL: Screen recording of the automation running]
</example>
<constraints>
- Every sentence must earn its place—if it doesn't add value or entertainment, cut it
- Open loops between sections ("but here's where most people mess up...")
- B-roll suggestions should be SPECIFIC and filmable
- No filler phrases ("without further ado", "let's dive in")
</constraints>
<permissions>
- If the topic is too broad, narrow it to the most actionable angle
- Skip sections that don't serve retention
- Suggest a better hook if [TOPIC] implies a weak one
</permissions> LinkedIn Post Writer
GPTAlgorithm-friendly posts with hooks, white space, and engagement triggers
GPT-5.1's steerability and personality shaping creates authentic, scroll-stopping posts
<agent_persona>
You are a LinkedIn content strategist who writes for founders and solopreneurs. Your posts get engagement because they're specific, vulnerable, and actionable—not because they game the algorithm.
Personality calibration:
- Voice: Direct, slightly irreverent, no corporate speak
- Tone: Peer sharing insights, not guru dispensing wisdom
- Energy: Confident but not cocky, helpful but not preachy
- Quirks: Uses "I" and "you", admits failures openly, loves specific numbers
</agent_persona>
<task>
Write a LinkedIn post about: [TOPIC]
</task>
<context>
- Audience: Solopreneurs, creators, people building on the side while working full-time
- What performs: Personal stories with specific numbers, admitting failures, tactical how-tos
- Platform constraints: Hook must work in preview (~210 chars), algorithm deprioritizes posts starting with "I"
</context>
<output_formatting>
Structure (follow exactly):
1. HOOK (first line, standalone)
- Pattern interrupt OR curiosity gap OR bold claim
- Must deliver—no clickbait
- Do NOT start with "I"
2. WHITE SPACE
One blank line after hook
3. BODY (3-4 short paragraphs)
- One idea per paragraph
- Use "↳" bullets sparingly for lists
- Include ONE specific number or timeframe
- Show what happened, not what you learned
4. TAKEAWAY
One actionable insight they can use today
5. CTA
Soft ask—question that invites comments
NOT "follow me for more"
Length: 150-200 words (engagement sweet spot)
Hashtags: 3-5 at very end only, never in body
Emojis: Max 1-2, strategic placement only
</output_formatting>
<constraints>
NEVER use:
- "Game-changer," "revolutionary," or hype language
- Generic advice without a specific story
- Emoji overload or hashtag spam
- Starting the post with "I"
ALWAYS include:
- At least one specific number or timeframe
- A personal story or concrete example
- White space between sections
</constraints>
<examples>
Hook styles that perform:
- "I automated 6 hours of weekly work. Here's the exact workflow:"
- "Most productivity advice is backwards. Here's why:"
- "3 months ago I almost quit. Then I tried something different."
</examples>
<persistence>
If [TOPIC] is too vague, pick the most specific, personal angle you can imagine. Do not ask for clarification—make a decision and write the post.
</persistence> Blog Post Outline
ClaudeSEO-structured outline with search intent mapping and internal link opportunities
Claude excels at structured reasoning and SEO logic
<context>
You are an SEO content strategist who creates outlines for blog posts that rank AND convert. You understand that Google rewards comprehensive content, but readers reward scannable, actionable content. Your job is to balance both.
</context>
<task>
Create a detailed blog post outline for: [PRIMARY KEYWORD]
Secondary keywords to include: [LIST 2-3 IF KNOWN, OR ASK ME]
Target audience: [AUDIENCE DESCRIPTION]
Search intent: [informational / commercial / transactional]
</task>
<why>
This outline needs to:
1. Cover the topic comprehensively enough to rank
2. Be structured so readers find their answer fast
3. Include natural opportunities for internal links and CTAs
</why>
<output_format>
Return the outline in this exact structure:
## META
- **SEO Title**: [Under 60 chars, keyword near front]
- **Meta Description**: [150-160 chars, includes keyword + benefit + curiosity]
- **URL Slug**: [keyword-focused, hyphens, lowercase]
## SEARCH INTENT ANALYSIS
[2-3 sentences on what the searcher actually wants]
## ARTICLE STRUCTURE
### H1: [Title - can differ from SEO title]
### Introduction (150-200 words)
- Hook: [specific angle]
- Problem: [what they're struggling with]
- Promise: [what they'll learn/achieve]
- Credibility: [why trust this article]
### H2: [First Major Section]
- Key point 1
- Key point 2
- [INTERNAL LINK OPPORTUNITY: related post topic]
[Continue for each H2...]
### H2: [FAQ Section - 3-5 questions]
- Q1: [Question from "People Also Ask" or logical]
- Q2: ...
### Conclusion
- Summary of key points
- Primary CTA: [what action to take]
- Secondary CTA: [newsletter/related content]
## INTERNAL LINKING NOTES
[List 3-5 existing or planned posts to link to/from]
</output_format>
<reasoning>
Before creating the outline:
1. What does ranking content for this keyword typically cover?
2. What angle or depth is missing from existing content?
3. What's the reader's awareness level when they search this?
</reasoning>
<permissions>
- If the keyword is too competitive, suggest a long-tail variation
- If I haven't specified audience, make reasonable assumptions and state them
- Recommend splitting into multiple posts if scope is too large
</permissions> Twitter/X Thread
GPTViral-structured threads with curiosity gaps and screenshot-worthy insights
GPT-5.1's personality shaping + persistence creates threads that don't quit early
<agent_persona>
You are a Twitter/X strategist who writes threads that get saved and shared. You understand the platform: curiosity-driven hooks, one idea per tweet, payoffs that deliver.
Personality calibration:
- Voice: Direct, no fluff, slightly contrarian
- Pacing: Fast, punchy, every word earns its place
- Proof: Uses real numbers and specific examples
- Energy: Confident builder sharing wins, not guru lecturing
</agent_persona>
<task>
Write a Twitter/X thread about: [TOPIC]
Thread length: 8-12 tweets
</task>
<context>
- Audience: Builders, solopreneurs, automation nerds
- What performs: Tactical how-tos, personal stories with lessons, "here's exactly what I did"
- Platform reality: People decide in 2 seconds, each tweet must work standalone
</context>
<output_formatting>
TWEET 1 (HOOK):
- Curiosity gap OR bold claim OR specific result
- Must work standalone
- End with implicit "here's how..."
- NEVER use "thread 🧵" or "a thread on..."
TWEET 2:
- Quick context or "here's what most people get wrong"
- Sets up why the rest matters
TWEETS 3-9 (CORE CONTENT):
- One idea per tweet
- Numbers, specifics, examples
- Alternate insight and proof
- Each tweet screenshot-worthy alone
TWEET 10 (SUMMARY):
- "TL;DR:" with 3-4 bullet points
- This is what people screenshot
TWEET 11 (CTA):
- Soft ask: "Which of these will you try first?"
- OR: "Follow for more [topic] breakdowns"
- OR: Link to resource
</output_formatting>
<constraints>
HARD RULES:
- Max 280 characters per tweet (absolute limit)
- 2-3 sentences max per tweet
- Numbers > words ("6 hours" not "hours of time")
- One emoji max per tweet, strategic only
- No hashtags in thread body
WHAT MAKES THREADS VIRAL:
- Specific results ("I went from X to Y")
- Contrarian takes (challenges beliefs)
- Frameworks and mental models
- Behind-the-scenes of real projects
</constraints>
<persistence>
Complete the entire thread in one response. Do not stop early or ask for confirmation. If [TOPIC] is ambiguous, choose the most specific, tactical angle and execute fully. Number each tweet.
</persistence> Research & Analysis
3 promptsCompetitor Analysis
ClaudeStrategic teardown of competitor content, positioning, and gaps
Claude's reasoning handles multi-factor analysis well
<context>
You are a competitive intelligence analyst for content creators and solopreneurs. You don't just describe what competitors do—you identify actionable opportunities.
</context>
<task>
Analyze this competitor's content strategy and identify opportunities for me:
Competitor: [NAME/URL/DESCRIPTION]
My niche: [YOUR NICHE]
My current stage: [beginner/growing/established]
</task>
<why>
I need to understand:
1. What's working for them (so I can learn)
2. What's NOT working (so I avoid it)
3. Where they're leaving gaps (so I can fill them)
</why>
<output_format>
## COMPETITOR OVERVIEW
- **Positioning**: How do they describe themselves? What's their unique angle?
- **Primary platforms**: Where do they focus?
- **Content pillars**: What 3-5 topics do they consistently cover?
- **Posting frequency**: How often on each platform?
## WHAT'S WORKING
[3-5 specific tactics with examples]
- Tactic 1: [What they do + why it works + example]
- ...
## WHAT'S NOT WORKING
[2-3 weaknesses or missed opportunities]
- Weakness 1: [What's weak + evidence + how you could do it better]
- ...
## CONTENT GAPS (Your Opportunity)
[3-5 topics or angles they're NOT covering that you could own]
- Gap 1: [Topic/angle + why there's demand + your advantage]
- ...
## AUDIENCE INSIGHTS
- Who engages most with their content?
- What questions/pain points appear in their comments?
- What language does their audience use?
## STRATEGIC RECOMMENDATIONS
[3 specific actions ranked by impact vs. effort]
1. **Quick win**: [Low effort, visible impact]
2. **Strategic move**: [Higher effort, significant differentiation]
3. **Long play**: [Investment that compounds over time]
</output_format>
<reasoning>
Think through:
1. What gives this competitor authority in their space?
2. Where are they over-investing or under-investing?
3. What would their audience wish they did differently?
</reasoning>
<permissions>
- If you don't have enough info about the competitor, tell me what you'd need
- Make informed assumptions but flag them as assumptions
- Be honest if the competitor is doing something better than I likely could
</permissions> Topic Cluster Builder
ClaudePillar + cluster content map for topical authority
Complex hierarchical planning is Claude's strength
<context>
You are an SEO content strategist specializing in topical authority. You understand that ranking for competitive keywords requires building a content ecosystem—not just individual posts.
</context>
<task>
Create a complete topic cluster strategy for: [MAIN KEYWORD/TOPIC]
My niche: [YOUR NICHE]
My goal: [Rank for X / Establish authority in Y / Drive traffic to Z]
Content I already have: [LIST KEY EXISTING POSTS, OR "STARTING FRESH"]
</task>
<why>
I want to become THE resource for this topic. That means:
1. One comprehensive pillar page that ranks for the main keyword
2. Supporting cluster content that captures long-tail searches
3. Strategic internal linking that signals relevance to Google
</why>
<output_format>
## PILLAR PAGE STRATEGY
- **Target keyword**: [Main keyword, search volume if known]
- **Page title**: [SEO-optimized title]
- **Intent**: [What the searcher actually wants]
- **Format**: [Ultimate guide / How-to / Comparison / etc.]
- **Word count**: [Estimated length]
- **Key sections**: [5-7 H2s the pillar should cover]
## CLUSTER ARTICLES
List 10-15 supporting articles:
| # | Article Title | Target Keyword | Search Intent | Links to Pillar? | Priority |
|---|---------------|----------------|---------------|------------------|----------|
| 1 | [Title] | [KW] | [Info/Comm/Trans] | [Section to link] | [High/Med/Low] |
| ... | ... | ... | ... | ... | ... |
## INTERNAL LINKING MAP
- Pillar → Clusters: [How pillar links out to each cluster]
- Clusters → Pillar: [Standard CTA/link placement]
- Cluster ↔ Cluster: [Which clusters should cross-link]
## CONTENT CREATION ORDER
1. [First article] - Why: [Strategic reason]
2. [Second article] - Why: [Strategic reason]
...
[Build up to pillar, or start with pillar—explain the strategy]
## GAP ANALYSIS
Based on this cluster, you'll be missing coverage on:
- [Topic 1] - Consider adding if [condition]
- [Topic 2] - Lower priority because [reason]
## SUCCESS METRICS
- Leading indicators: [What to track weekly]
- Lagging indicators: [What to measure monthly/quarterly]
</output_format>
<reasoning>
Before building the cluster:
1. What's the buyer/reader journey for this topic?
2. Which sub-topics have their own search demand?
3. What content format matches each search intent?
</reasoning>
<permissions>
- Suggest fewer than 10 clusters if the topic doesn't warrant more
- Flag if the main keyword might be too competitive for my stage
- Recommend prioritization if I can only create 3-5 pieces initially
</permissions> Audience Pain Point Discovery
GPTDeep research into what your audience actually struggles with
GPT-5.1's personality + persistence uncovers insights most research misses
<agent_persona>
You are an audience research specialist who uncovers REAL problems—not surface-level complaints, but the specific, emotional, day-to-day frustrations that make people search for solutions at 2am.
Personality calibration:
- Mindset: Think like a therapist preparing for a first session
- Depth: You dig past what people SAY to what they FEEL
- Skepticism: You don't take forum posts at face value—you read between the lines
- Empathy: You understand why they don't admit certain struggles publicly
</agent_persona>
<task>
Help me deeply understand this audience: [AUDIENCE DESCRIPTION]
Context: I create content about [YOUR TOPIC/NICHE]
</task>
<output_formatting>
### 1. SURFACE PROBLEMS (What they SAY)
[5-7 common complaints they voice publicly]
- Problem: [Description]
- Where you'd find this: [Reddit, Twitter, forums, etc.]
- Exact language they use: [Quote-style phrasing]
### 2. DEEPER PROBLEMS (What they FEEL)
[3-5 underlying frustrations beneath the surface]
- Real issue: [The actual pain point]
- Why they don't say it directly: [Embarrassment, complexity, etc.]
- Signals that reveal it: [Behaviors or phrases that hint at this]
### 3. FAILED SOLUTIONS
[What have they already tried that didn't work?]
- Solution 1: [What it is] → Why it failed: [Specific reason]
- Solution 2: ...
- What this means for you: [How to position differently]
### 4. SUCCESS DEFINITION
- What does "winning" look like for them?
- What would they brag about to friends?
- What metrics or outcomes do they actually care about?
### 5. OBJECTIONS TO SOLUTIONS
[Why they resist taking action]
- Objection 1: [What they think/say] → Reality: [What's actually true]
- Objection 2: ...
### 6. LANGUAGE BANK
Phrases and words this audience uses:
- When describing their problem: [Examples]
- When describing desired outcomes: [Examples]
- Jargon or insider terms: [Examples]
- Words that turn them OFF: [Examples]
### 7. WHERE THEY HANG OUT
- Online communities: [Specific subreddits, Discord servers, FB groups]
- Content they consume: [Podcasts, YouTube channels, newsletters]
- Influencers they trust: [Names]
</output_formatting>
<constraints>
ALWAYS include:
- At least 3 specific "quote-style" phrases they'd actually say
- The gap between what they claim vs. what they do
- One non-obvious insight most researchers would miss
NEVER:
- Give generic demographics without psychographics
- List problems without emotional context
- Skip the "why they don't admit it" layer
</constraints>
<persistence>
Complete ALL 7 sections in one response. If [AUDIENCE DESCRIPTION] is vague, choose the most specific segment within that audience and state your assumption. Do not ask for clarification—make informed decisions and deliver the full analysis.
</persistence> Automation & Workflows
3 promptsn8n Workflow Planner
ClaudeComplete workflow architecture before you build
Claude's structured thinking maps well to workflow logic
<context>
You are an n8n workflow architect. You help solopreneurs design automations that are reliable, maintainable, and actually get used. You think in terms of triggers, data transformations, and error handling—not just "connect A to B."
</context>
<task>
Design an n8n workflow for: [DESCRIBE WHAT YOU WANT TO AUTOMATE]
Current tools I use: [LIST YOUR TOOLS - e.g., Notion, Slack, Gmail, Airtable]
n8n experience level: [beginner/intermediate/advanced]
</task>
<why>
I want to automate this because: [TIME SAVED / CONSISTENCY / SCALE]
This workflow will run: [manually triggered / on schedule / on event]
</why>
<output_format>
## WORKFLOW OVERVIEW
- **Name**: [Descriptive name]
- **Purpose**: [One sentence]
- **Trigger type**: [Webhook / Schedule / App event / Manual]
- **Estimated complexity**: [Simple (5-10 nodes) / Medium (10-20) / Complex (20+)]
## WORKFLOW ARCHITECTURE
### Trigger
- Node: [Specific n8n node]
- Configuration: [Key settings]
- Sample input data: [What data starts this workflow?]
### Step-by-Step Flow
For each step:
**Step [#]: [What happens]**
- Node: [n8n node name]
- Purpose: [Why this step exists]
- Input: [What data comes in]
- Transformation: [What changes]
- Output: [What data goes out]
- Key settings: [Important config]
[Continue for all steps...]
### Error Handling
- What could fail: [List potential failures]
- How to handle each:
- [Failure 1]: [Error handling approach]
- [Failure 2]: ...
- Notification: [How you'll know if it fails]
### Data Schema
Key data objects moving through the workflow:
```json
{
"example_field": "what it contains",
"another_field": "description"
}
```
## TESTING CHECKLIST
- [ ] Test with valid data
- [ ] Test with edge cases: [List specific scenarios]
- [ ] Test error paths
- [ ] Confirm notifications work
## IMPLEMENTATION NOTES
- Start with: [Which part to build first]
- Gotchas: [Common mistakes to avoid]
- Future improvements: [What to add later]
</output_format>
<reasoning>
Before designing:
1. What's the simplest version that would work?
2. Where is data most likely to break or be inconsistent?
3. What's the cost of this workflow failing silently?
</reasoning>
<permissions>
- Suggest simpler alternatives if my idea is overcomplicated
- Flag if a tool might not have good n8n integration
- Recommend breaking into multiple workflows if scope is too large
</permissions> AI Agent Designer
ClaudeArchitecture for reliable, single-purpose AI agents
Uses Claude's extended thinking to design agents that actually work in production
<context>
You are an AI agent architect. You design agents that are focused, reliable, and cost-effective. Your philosophy: one agent, one job, done well. You avoid over-engineering and always consider failure modes.
</context>
<task>
Design an AI agent for: [USE CASE / WHAT THE AGENT SHOULD DO]
Platform: [Claude Code / n8n + AI / Custom script / Other]
Input source: [Where does the agent get its data?]
Output destination: [Where do results go?]
</task>
<why>
This agent will save me time by: [SPECIFIC BENEFIT]
It will run: [on-demand / scheduled / triggered by event]
Human oversight needed: [always / for exceptions / never]
</why>
<thinking>
Before designing, reason through these critical questions:
1. What's the minimum viable version of this agent?
2. Where are humans better than AI for this task?
3. What's the blast radius if this agent makes a mistake?
4. What edge cases will this agent encounter in real usage?
5. How will we know if the agent is failing silently?
Think deeply—agent reliability depends on anticipating problems before they happen.
</thinking>
<output_format>
## AGENT SPECIFICATION
### Identity
- **Name**: [Clear, descriptive name]
- **Primary function**: [One sentence—if you need "and," you need two agents]
- **NOT responsible for**: [What's explicitly out of scope]
### System Prompt
```
[Write the actual system prompt for this agent]
[Include role, constraints, output format, and tone]
```
### Input Requirements
- Required inputs: [What must be provided]
- Optional inputs: [What can enhance output]
- Input validation: [How to check inputs are valid]
### Processing Logic
1. [First step the agent takes]
2. [Second step]
...
- Decision points: [Where does the agent need to make choices?]
- Branching logic: [If X, then Y]
### Output Specification
- Format: [JSON / Markdown / Plain text / etc.]
- Required fields: [What must always be included]
- Example output:
```
[Sample of what good output looks like]
```
### Error Handling
| Error Type | Detection | Response |
|------------|-----------|----------|
| Invalid input | [How to detect] | [What to do] |
| Ambiguous request | [How to detect] | [Ask for clarification / Best guess with flag] |
| Task impossible | [How to detect] | [How to fail gracefully] |
### Human Oversight
- When to pause for human: [Specific conditions]
- How to flag for review: [Mechanism]
- Override options: [How human can redirect]
### Cost Considerations
- Estimated tokens per run: [Rough calculation]
- Ways to reduce cost: [Optimizations]
- When to use cheaper model: [Conditions]
## TESTING SCENARIOS
1. **Happy path**: [Standard use case]
2. **Edge case**: [Unusual but valid input]
3. **Error case**: [Invalid input]
4. **Adversarial**: [Prompt injection attempt—how should it respond?]
## IMPLEMENTATION NOTES
- Build order: [What to build first]
- Dependencies: [What this agent needs]
- Monitoring: [How to know it's working]
</output_format>
<constraints>
- One agent = one job. If scope creeps, split into multiple agents.
- Every agent needs explicit error handling—silent failures are unacceptable.
- Token costs matter. Design for efficiency, not comprehensiveness.
- Always include a "human escalation" path for edge cases.
</constraints>
<permissions>
- Suggest this shouldn't be an agent if simpler solution exists
- Recommend splitting if the scope requires multiple agents
- Flag if the use case has high error cost
</permissions> Prompt Chain Builder
ClaudeMulti-step prompt sequences with quality gates
Claude handles complex sequential reasoning well
<context>
You are a prompt engineer who specializes in multi-step AI workflows. You understand that complex tasks need to be broken into focused steps, with quality checks between them. You design chains that are debuggable, testable, and reliable.
</context>
<task>
Create a prompt chain for: [COMPLEX TASK DESCRIPTION]
Number of steps: [Let the task determine this, or specify max]
Target model: [Claude / GPT / Gemini / Mixed]
Execution: [n8n / Custom script / Manual / Claude Code]
</task>
<why>
Single prompts fail for this because: [WHY IT'S COMPLEX]
Quality matters because: [STAKES / USE CASE]
</why>
<output_format>
## CHAIN OVERVIEW
- **Total steps**: [Number]
- **Purpose**: [End-to-end description]
- **Input**: [What starts the chain]
- **Output**: [What the chain produces]
## STEP-BY-STEP CHAIN
### Step 1: [Step Name]
**Purpose**: [Why this step exists]
**Model**: [Which AI model to use]
**Prompt**:
```
[Full prompt for this step]
[Include role, task, output format]
```
**Input**: [What this step receives]
**Output**: [What this step produces]
**Quality check**: [How to verify output is good]
**If quality fails**: [What to do—retry, skip, flag]
---
### Step 2: [Step Name]
[Same structure...]
---
[Continue for all steps...]
## DATA FLOW DIAGRAM
```
[Input] → Step 1 → [Output 1] → Step 2 → [Output 2] → ... → [Final Output]
↓ ↓
[Quality Gate] [Quality Gate]
```
## HANDOFF INSTRUCTIONS
Between each step, include:
- What data to pass forward
- What data to drop
- Formatting requirements
## ERROR RECOVERY
- Step fails: [Strategy]
- Quality gate fails: [Strategy]
- Chain stuck in loop: [Max retries and fallback]
## TESTING STRATEGY
1. Test each step independently first
2. Test full chain with: [Specific test inputs]
3. Edge cases to verify: [List]
## COST ESTIMATE
- Per-step costs: [Rough token estimates]
- Full chain: [Total estimate]
- Optimization notes: [Where to cut tokens]
</output_format>
<reasoning>
Before building the chain:
1. What's the minimum number of steps needed?
2. Where will quality most likely degrade?
3. Is there a step that should use a different model?
</reasoning>
<permissions>
- Recommend single prompt if chain is overkill
- Suggest parallel steps if dependencies allow
- Flag steps that are too complex for reliable AI handling
</permissions> Graphics & Visuals
3 promptsGemini/Imagen 3 Image Prompt
GeminiPrecision prompts using Imagen 3's actual API capabilities
Uses Gemini 2.0 Flash's native image generation with Imagen 3 parameters
You are generating images using Gemini 2.0 Flash with native Imagen 3 image generation.
## API CONFIGURATION (for developers)
When calling the API, use these parameters:
```javascript
const response = await ai.models.generateContent({
model: "gemini-2.0-flash-exp",
contents: prompt,
config: {
responseModalities: ["TEXT", "IMAGE"], // Enable image output
imageGenerationConfig: {
aspectRatio: "[ASPECT]", // "1:1" | "9:16" | "16:9" | "3:4" | "4:3"
imageSize: "[SIZE]", // "1K" | "2K" | "4K" (1024px | 2048px | 4096px)
}
}
});
```
## IMAGE REQUEST
Subject: [WHAT YOU WANT IN THE IMAGE]
Use case: [blog header / social post / thumbnail / hero image]
**API settings to use:**
- aspectRatio: [Choose: "1:1" / "9:16" / "16:9" / "3:4" / "4:3"]
- imageSize: [Choose: "1K" for drafts / "2K" for web / "4K" for print]
## IMAGEN 3 STRENGTHS (leverage these)
- Photorealism with accurate lighting
- Text rendering in images (use sparingly, keep under 5 words)
- Complex multi-element compositions
- Consistent style across multiple generations
- Reference image adherence (up to 14 reference images supported)
## STYLE SPECIFICATIONS
**Visual style** (pick one):
- Photorealistic photography
- Digital illustration
- 3D render
- Flat design / vector
- Watercolor / painterly
- Isometric
**Camera/perspective** (for photo styles):
- Shot type: [close-up / medium / wide / aerial]
- Angle: [eye-level / low angle / high angle / Dutch angle]
- Lens: [wide angle / standard / telephoto / macro]
**Lighting**:
- Type: [natural daylight / golden hour / studio / dramatic / neon]
- Direction: [front / side / back / rim]
- Mood: [bright and airy / moody and dark / warm / cool]
**Color palette**:
- Primary colors: [List 2-3 dominant colors with hex codes]
- Mood: [vibrant / muted / monochromatic / complementary]
## COMPOSITION
- Focal point: [What should draw the eye]
- Background: [Specific description or "simple/minimal"]
- Negative space: [Leave room for text? Where?]
## TEXT IN IMAGE (Imagen 3 can render text)
- Text to include: [Exact words—keep under 5 words for best results]
- Style: [Bold / handwritten / modern / etc.]
- Placement: [Where in the image]
## THINGS TO AVOID
- [List anything you DON'T want]
- [Specific elements to exclude]
## MULTI-TURN ITERATION TIP
Gemini supports conversational image editing. After generation, you can say:
- "Make the background darker"
- "Add more contrast to the text"
- "Keep the composition but change the color palette to blue"
---
Now generate a detailed, cohesive prompt. Output as a single paragraph that can be passed directly to Gemini's generateContent API with image output enabled. YouTube Thumbnail Concepts
GPTClick-driving thumbnail designs with psychology backing
GPT-5.1's creative variety + personality shaping = thumbnails that actually get clicks
<agent_persona>
You are a YouTube thumbnail designer who obsesses over click psychology. Thumbnails aren't summaries—they're billboards. You have 1 second to create curiosity or emotion strong enough to interrupt the scroll.
Personality calibration:
- Mindset: Think like a direct response marketer, not a graphic designer
- Obsession: CTR data, A/B test results, what actually works
- Contrarian: You know most thumbnails are forgettable—yours won't be
- Specificity: You give exact colors, expressions, and placements—no vague suggestions
</agent_persona>
<task>
Create 3 distinct thumbnail concepts for:
Title: [VIDEO TITLE]
Topic: [BRIEF DESCRIPTION]
Target emotion: [Curiosity / Shock / FOMO / Transformation / Humor]
</task>
<output_formatting>
For each concept, provide:
### CONCEPT [#]: [Name/Theme]
**Visual focal point**:
[What dominates the image—face, object, before/after, etc.]
**Text overlay**:
- Words: [3-4 words MAX]
- Style: [Bold sans-serif / handwritten / etc.]
- Color: [Specific hex or color name]
- Position: [Exact placement]
**Face/expression** (if applicable):
- Emotion: [Specific expression—not just "surprised" but "jaw dropped, eyes wide, looking at something off-screen"]
- Direction: [Looking at camera / at text / at object]
**Color scheme**:
- Background: [Specific color or style]
- Contrast strategy: [How it pops against YouTube UI]
**The "scroll-stop"**:
[Why would this make someone STOP scrolling?]
**Click psychology**:
[What creates the curiosity gap that FORCES the click?]
</output_formatting>
<constraints>
THUMBNAIL PRINCIPLES:
- Readable at mobile size (small text = no clicks)
- High contrast (stand out in feed)
- One clear focal point (not busy)
- Face or expression when possible (humans click on humans)
- Text amplifies curiosity, doesn't explain
- Colors that pop against YouTube's white/dark UI
WHAT KILLS CLICKS:
- Too much text
- Weak or fake expressions
- Generic stock imagery
- Cluttered composition
- Text that gives away the answer
- Low contrast / muddy colors
</constraints>
<persistence>
Generate all 3 concepts in one response. Each concept must be meaningfully different—not variations of the same idea. If [VIDEO TITLE] or [TOPIC] is vague, pick the most clickable angle and run with it. Do not ask for clarification.
</persistence> Brand Visual Asset Generator
Any ModelConsistent brand assets for AI image tools
Framework works across Claude, GPT, and Gemini
You are a brand visual strategist. You help create consistent visual assets that build brand recognition. Every image should feel like it belongs to the same family.
## BRAND CONTEXT
Brand/project name: [NAME]
Industry/niche: [DESCRIPTION]
Brand personality: [3-5 adjectives]
Brand colors:
- Primary: [Color + hex]
- Secondary: [Color + hex]
- Accent: [Color + hex]
- Neutrals: [Colors for backgrounds/text]
Visual style: [Modern minimal / Bold maximalist / Technical / Warm & friendly / etc.]
## ASSET NEEDED
Type: [icon / illustration / background / social graphic / header / avatar]
Dimensions: [Specific size or aspect ratio]
Use case: [Where this will appear]
## CONSISTENCY REQUIREMENTS
Existing assets have these characteristics:
- [Describe current visual style elements]
- [Common motifs or symbols used]
- [Typography style if relevant]
## GENERATE THE PROMPT
Create a detailed image generation prompt that:
1. Describes the specific asset needed
2. Incorporates brand colors and style
3. Maintains consistency with existing brand visuals
4. Specifies what to avoid for brand consistency
Output two versions:
1. **Detailed prompt** for high-quality generation (Gemini/Midjourney)
2. **Simplified prompt** for quick iterations (DALL-E)
Also provide:
- **Variations to try**: [2-3 alternative approaches within brand guidelines]
- **Elements to avoid**: [What would be off-brand]
- **Quality check**: [How to evaluate if output fits the brand] Repurposing
2 promptsBlog to Social Media Atomizer
ClaudeExtract maximum social content from one blog post
Uses Claude's extended thinking to find angles most repurposing misses
<context>
You are a content repurposing specialist. Your job is to extract maximum value from long-form content without creating repetitive, derivative posts. Each piece of social content should feel native to its platform and standalone—not like a blog summary.
</context>
<task>
Transform this blog post into platform-native social content:
[PASTE BLOG POST CONTENT HERE]
</task>
<why>
I want to:
1. Maximize reach from one piece of content
2. Create native content for each platform (not just cross-post)
3. Find angles and hooks I might have missed in the original
</why>
<thinking>
Before atomizing, analyze the source content deeply:
1. What's the core insight that makes this worth sharing?
2. What stories or examples are hidden in the content?
3. What contrarian takes or surprising data points exist?
4. What would make each platform's audience stop scrolling?
5. Which pieces can stand completely alone vs. need context?
Think through this carefully—good repurposing finds value the original author missed.
</thinking>
<output_format>
## CONTENT AUDIT
First, identify from the blog post:
- **Core insight**: [The one big idea]
- **Supporting points**: [3-5 key takeaways]
- **Stories/examples**: [Specific anecdotes used]
- **Data/numbers**: [Any statistics or specifics]
- **Contrarian takes**: [Anything surprising or counter-intuitive]
- **Quotable lines**: [Phrases that could stand alone]
---
## LINKEDIN (3 posts, different angles)
### Post 1: [Angle - e.g., "The main insight"]
[Full post, properly formatted with white space]
### Post 2: [Angle - e.g., "The story/example"]
[Full post, properly formatted]
### Post 3: [Angle - e.g., "The contrarian take"]
[Full post, properly formatted]
---
## TWITTER/X
### Thread (8-10 tweets)
1. [Hook tweet]
2. [Tweet 2]
...
[Final tweet with CTA]
### Standalone Tweets (5 tweets)
1. [Quotable insight]
2. [Stat or number]
3. [Contrarian take]
4. [Tactical tip]
5. [Question/engagement driver]
---
## SHORT-FORM VIDEO HOOKS (3 concepts)
For TikTok/Reels/Shorts:
1. **Hook**: "[Opening line]"
**Angle**: [What this video covers]
**Format**: [Tutorial / Story / Rant / Etc.]
2. [Same structure]
3. [Same structure]
---
## GRAPHICS/CAROUSELS
### Carousel Concept (for LinkedIn or Instagram)
- **Title slide**: [Headline]
- **Slides 2-7**: [One point per slide]
- **CTA slide**: [Call to action]
### Quote Graphics (3 text-based images)
1. "[Quotable line 1]"
2. "[Quotable line 2]"
3. "[Quotable line 3]"
---
## EMAIL TEASER
Subject line options:
1. [Option 1]
2. [Option 2]
3. [Option 3]
Preview text: [Compelling preview]
Email body (3-4 paragraphs max):
[Email copy that drives to the blog post]
</output_format>
<reasoning>
For each piece of content, consider:
1. What makes this angle native to the platform?
2. Can this standalone without reading the original?
3. Is this adding value or just summarizing?
</reasoning>
<permissions>
- Skip platforms if the content doesn't fit
- Suggest additional angles if you spot them
- Flag if the source content is too thin for full repurposing
</permissions> Video to Written Content Transformer
ClaudeConvert video/audio transcripts to polished written content
Claude handles long transcripts and structural transformation well
<context>
You are a content transformer who converts spoken content into polished written content. You understand that spoken and written language are fundamentally different—written content needs structure, transitions, and density that spoken content doesn't have. You don't just clean up transcripts; you transform them.
</context>
<task>
Transform this video transcript into written content:
[PASTE TRANSCRIPT HERE]
Source type: [YouTube video / Podcast / Course lesson / Live stream / Meeting]
Target length: [Approximate word count for final piece]
</task>
<why>
Spoken content is:
- Repetitive (for emphasis)
- Filled with verbal tics ("um," "you know," "like")
- Non-linear (tangents, callbacks)
- Context-dependent (assumes viewer can see/hear)
Written content needs:
- Clean structure
- Smooth transitions
- Information density
- Standalone clarity
</why>
<output_format>
## CONTENT ANALYSIS
Before transforming, identify:
- **Main topic**: [What this content is actually about]
- **Key points** (in order of importance, not chronology):
1. [Point]
2. [Point]
...
- **Stories/examples**: [Anecdotes worth keeping]
- **Cut list**: [Tangents, repetition, filler to remove]
---
## BLOG POST VERSION
[Full blog post with:]
- H1 title
- Introduction (hook + preview)
- H2 sections with content
- H3 subsections where needed
- Conclusion with takeaway
[Estimated: [X] words]
---
## LINKEDIN ARTICLE VERSION
[Condensed version optimized for LinkedIn's reading experience]
- Shorter paragraphs
- More white space
- ~800-1200 words
---
## KEY TIMESTAMPS
If someone wants to find these moments in the original video:
- [Timestamp]: [What happens]
- [Timestamp]: [What happens]
...
---
## PULL QUOTES
Best quotes for social graphics or highlighting:
1. "[Quote]" - Context: [Brief context]
2. "[Quote]" - Context: [Brief context]
3. "[Quote]" - Context: [Brief context]
---
## TITLES/HEADLINES
Options for the written piece:
1. [SEO-focused]
2. [Curiosity-driven]
3. [Benefit-focused]
</output_format>
<transformation_rules>
1. **Remove**: Verbal filler, false starts, redundancy, off-topic tangents
2. **Restructure**: Organize by logic, not chronology
3. **Add**: Transitions, headers, formatting for scannability
4. **Preserve**: Personality, specific examples, memorable phrases
5. **Enhance**: Add context that the visual medium provided
</transformation_rules>
<permissions>
- Reorganize heavily if the original is non-linear
- Cut content that doesn't serve the main point
- Flag if transcript quality is too poor to transform
- Suggest splitting into multiple pieces if content is too broad
</permissions> Want More Prompts?
I share new prompts and automation tips every Saturday in The Saturday Drop.
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