PROMPTS
1346 original and curated AI prompts across image, video, music, and tutorials. Browse by tool, use case, and difficulty; each entry shows its available notes and examples.
Filters1 activeExpandCollapse
Claude Code Hooks Builder: Auto Format/Lint/Tests After Every Edit
Uses hooks in .claude/settings.json to automatically run formatting, linting, type-checking, or tests at specific Claude Code lifecycle events (PostToolUse after an edit, PreToolUse before running a command, Stop when wrapping up)—producing correct JSON config plus an executable hook script, with exit code 2 hard-blocking dangerous actions.
Claude Code Subagent Fan-Out: Splitting Big Tasks Into Parallel Subagents
Has Claude Code break a large task into several independent, parallel subagents (each with its own context, restricted tools, and an assignable model), planning how to fan the work out, defining each subagent's responsibility boundaries and reporting format, and producing reusable .claude/agents subagent definition files when needed.
Safe Multi-File Refactoring: Map Blast Radius, Then Batch and Verify
A large-refactor playbook for agents: first do a read-only survey of the 'blast radius' — which files, call sites, and tests are affected — then split the change into small batches, each preserving behavior, each run through its own tests, each its own atomic commit. Puts an end to 'change 40 files at once, then the build breaks and no one knows where to start fixing it.'
Nano Banana Keyframes to Veo Interpolation (Image-to-Video Workflow)
An advanced workflow: generate two keyframes with Nano Banana first, then hand them to Veo to interpolate into a fully realized camera move.
Imaginary Movie Still: Director + Film Stock for a Movie Never Made
Generate cinematic film stills using a named director's style plus a specific film stock and lens—not vague adjectives. Specificity is the key to what goes viral in 2026.
AEO Content: Write Passages ChatGPT / Perplexity Will Actually Cite
The new traffic battleground in 2026 is getting cited by AI. Write your topic in the format AI models love to pull from: direct answers, clear structure, and authority signals.
AI Agent Task Spec: Turn Vague Requests into Executable Instructions
2026 has entered the agent era — this template turns 'I want X' into an executable spec for an agent: goal, steps, available tools, definition of done, and boundaries.
HappyHorse-1.0: One Portrait, Lip-Synced Spokesperson Videos in 7 Languages
Use Alibaba's HappyHorse-1.0 (the #1 audio-free video model of 2026, with lip-sync in 7 languages) to turn one portrait plus a script into a multilingual spokesperson / product voiceover video.
Image-to-Video Character Consistency: Lock In a Character with a Reference Image, No More Face Drift
2026 is the year of image-to-video — use a single character reference image so the people in Sora 2 / Veo 3.1 videos stay consistent from start to finish, without drifting.
Context Engineering: What Separates You in 2026 Isn't the Incantation, It's the Ingredients
Feed the AI structured background, what's already been tried, constraints, and available tools/data structures before giving it the task — in 2026 the real leverage point has shifted from 'prompt tricks' to 'context.'
Prompt Chaining: Split a Big Task into Three Steps for Better Quality
Don't feed an entire complex task into a single prompt — split it into three separate steps ('decompose → produce each part → integrate'), and the output is noticeably more stable and complete.
XML Tag Structuring: 28% Fewer Parsing Errors Than Markdown
Wraps instructions, data, rules, and schemas in XML tags when feeding them to an AI — tested to produce roughly 28% fewer errors on structured-extraction tasks than using Markdown headers.
A Red Teamer's View: 3 High-Capability Prompt Patterns That Work Across Models
Three patterns shared by the HackAPrompt 2.0 champion: frame the task as an audit, make the abstraction level explicit, and stage the context like production. They work on Claude, GPT, and Gemini alike.
AI Agent Harness Engineering: Separating the LLM from the Deterministic Orchestration Layer
Mitchell Hashimoto's "Agent = Model + Harness" framework. The reason 88% of enterprise AI agents never reach prod isn't the prompt — it's the missing deterministic orchestration layer. Four CS primitives you can't skip: state machine, idempotency, DAG, DLQ.
System vuln scanner: analyze your architecture, find attack chains, estimate time-to-compromise
More than "list the CVEs." It finds how individual weaknesses chain into an attack and estimates how long an AI-augmented attacker would need to break in. A take on the OpenAI Daybreak concept, built for small teams. Feed in a stack description (Next.js + Supabase + Clerk, etc.) and get back critical paths plus a patch-priority order.
reClaim: Turn a Frontier Model Into a Research Agent With Confidence Scores
Scores every claim on three axes (A: sources / B: counterevidence / C: completeness), plus a 4-tier source hierarchy, adversarial self-poking, and 4 output modes.
Suno Advanced: Pin Down Your Sound with Synth Models + Recording Details
Why does Suno always sound generic? Because you only describe "genre + vibe." Swap in "Jupiter-8 saw wave bass with reverb tail" and Suno gives you the exact sound you're after.
Grading essays as a teacher: a 3-step chain (lens → diagnose → tone)
A method dreamed up by a teacher 19 essays into a 30-essay all-nighter. Where typical AI prompts "act as an English teacher" and devolve into a wall of rubric noise, this chain solves the real grading workflow: don't comment on everything.
Flip Your AI Dev Workflow: Generate the Prompt First, Then the Code (4 Phases)
Instead of telling AI to write code directly, have it translate a vague goal into an executable prompt structure first, then use that structure to drive code generation. Phase 1 Intent → Phase 2 Structuring → Phase 3 Tool-Level → Phase 4 Implementation.
Read 10 papers at once and synthesize them with Gemini
Upload 10 PDFs and Gemini automatically maps the consensus, disagreements, and gaps, then drafts a literature review.
Auto-Brief a 10-K with Gemini
Upload a public company's annual or quarterly report PDF and auto-generate a management-quality + risk read plus an investment thesis
Prioritize your product feature list with Gemini
Upload customer feedback, NPS data, or support tickets alongside your feature backlog, and Gemini runs a RICE or Kano model analysis.
Kling Action Scene, 5 Seconds
For action ads and short films. A three-part motion structure: character + action + scene.
Runway Act-One Actor Monologue
Runway's exclusive Act-One feature. Upload a character photo plus a performance reference to generate a monologue clip.