plugins/viral-video-master/skills/viral-video-hooks-retention/SKILL.md
Master hook creation and audience retention for viral video success. PROACTIVELY activate for: (1) Video hook optimization, (2) Opening second strategies, (3) Audience retention improvement, (4) Attention capture techniques, (5) Psychological triggers, (6) Pattern interrupts, (7) Watch time optimization, (8) Drop-off prevention, (9) Engagement psychology. Provides: Hook formulas, psychological trigger frameworks, retention benchmarks, pattern interrupt techniques, and actionable retention improvement strategies.
npx skillsauth add JosiahSiegel/claude-plugin-marketplace viral-video-hooks-retentionInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Complete guide to capturing attention in the first moments and maintaining engagement throughout your video content.
0-1.3 seconds: Scroll stop decision
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1.3-3 seconds: Continue or abandon
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Success: 65% who watch first 3 seconds will watch 10+ seconds
45% who watch first 3 seconds will watch 30+ seconds
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Completion → Replay → Viral Distribution
Our brains are wired to notice:
The Dopamine Mechanism:
People remember uncompleted tasks better than completed ones.
Application:
What It Is: Creating an information gap between what the viewer knows and what they want to know.
How to Use:
Examples:
Warning:
What It Is: Breaking expected patterns to reset the viewer's attention.
How to Use:
Examples:
Science: Pattern interrupts trigger the orienting response, an automatic brain function that refocuses attention on novel stimuli.
What It Is: Starting narratives or promises that demand completion.
How to Use:
Examples:
Advanced Technique: Open multiple loops at different points, closing them strategically to maintain engagement throughout.
What It Is: Humans feel losses more strongly than equivalent gains.
How to Use:
Examples:
Warning: Use authentically. False urgency erodes trust.
What It Is: Creating immediate personal relevance for the viewer.
How to Use:
Examples:
Why It Works: When viewers see themselves in content, they commit to watching because it becomes personally relevant.
Second-by-Second Breakdown:
| Second | Action | Purpose | |--------|--------|---------| | 0-1 | Visual/audio grab | Stop the scroll | | 1-2 | Value proposition | Why to keep watching | | 2-3 | Curiosity gap | Demand completion |
Formula:
[Pattern Interrupt] + [Value Promise] + [Open Loop]
0-10 Second Structure:
| Seconds | Action | Purpose | |---------|--------|---------| | 0-2 | Pattern interrupt | Capture attention | | 2-5 | Promise/benefit | Establish value | | 5-10 | Proof/preview | Build credibility |
Formula:
[Hook] + [Agenda/Promise] + [Credibility] + [First Value Point]
"Here's why [common belief] is completely wrong..."
"I discovered something that changed everything about..."
"Most people don't know this about [topic]..."
"The [industry] doesn't want you to know..."
"This is what they don't teach you about..."
"Here's what happens when you [action]..."
"I tested [thing] for [time], here's what I found..."
[Start mid-sentence] "...and that's why I stopped doing it"
[Show end result first without context]
[Controversial statement] "I quit [popular thing] and here's why"
[Action hook] Start with the most dramatic moment
[Counter-intuitive] "[Popular advice] is actually terrible advice"
"By the end of this video, you'll understand why..."
"What happened next shocked everyone..."
"The third tip is the one that actually works..."
"Wait until you see what happens at the end..."
"I didn't believe it until I tried it myself..."
"In just a minute, I'll show you the exact method..."
"If you're not doing this, you're losing..."
"This trend is about to explode..."
"Before everyone else figures this out..."
"Stop scrolling if you want to [benefit]..."
"This is going away soon..."
"You're probably making this mistake right now..."
"If you're someone who [struggle], this is for you..."
"POV: You're a [audience type] who..."
"Only [niche] people will understand this..."
"This is for my [audience] who..."
"Raise your hand if you've ever [common experience]..."
"If [specific situation], you need to hear this..."
"I was about to give up when..."
"Nobody believed me until..."
"This one decision changed my life..."
"The moment I realized..."
"Last week, something happened that..."
"Three years ago, I made a mistake that..."
"Here's exactly how to [result] in [timeframe]..."
"[Number] things I wish I knew before..."
"The simple trick that [achievement]..."
"Why [common approach] doesn't work..."
"The step everyone skips that costs them [outcome]..."
"I spent [time] learning this so you don't have to..."
Detailed audience retention mastery, emotional engagement techniques, and advanced retention strategies (pattern interrupts, open loops, callbacks, pacing) live in references/retention-emotional-advanced.md. Load that reference when optimizing beyond first-hook formulation into full-video retention curves.
What to Test:
How to Test:
Compare your retention to:
development
This skill should be used when the user asks to train, debug, scale, or improve ML models. PROACTIVELY activate for: (1) PyTorch, TensorFlow/Keras, JAX, Flax, Hugging Face Trainer/Accelerate training loops, (2) distributed training, DDP/FSDP/DeepSpeed, TPU/GPU setup, (3) mixed precision AMP/bf16, gradient accumulation, checkpointing, seeding, (4) overfitting, imbalance, loss functions, regularization, LR schedules, warmup, (5) memory optimization, gradient checkpointing, offloading, quantization-aware training. Provides: reproducible training best practices across deep learning and classical ML.
development
This skill should be used when the user asks to productionize, track, version, govern, monitor, or automate ML systems. PROACTIVELY activate for: (1) MLflow, Weights & Biases, Neptune, Comet, ClearML experiment tracking, (2) model registry, model versioning, artifact lineage, reproducibility, (3) Kubeflow, SageMaker Pipelines, Vertex AI Pipelines, Azure ML pipelines, Databricks workflows, (4) CI/CD, continuous training/evaluation, A/B tests, canary/shadow deployments, (5) drift detection, model monitoring, data validation, responsible AI governance. Provides: end-to-end MLOps architecture and operational safeguards.
development
This skill should be used when the user asks to optimize, export, serve, compress, or accelerate ML inference. PROACTIVELY activate for: (1) latency, throughput, p95/p99, batching, concurrency, KV cache, memory, or cost issues, (2) quantization INT8/INT4, GPTQ, AWQ, bitsandbytes, pruning, sparsity, distillation, (3) ONNX export, ONNX Runtime, TensorRT, TorchScript, torch.compile, XLA, OpenVINO, Core ML, TFLite, (4) Triton, TorchServe, TF Serving, BentoML, Seldon, KServe configuration, (5) edge deployment, CPU/GPU/TPU/Inferentia serving. Provides: hardware-aware inference optimization and safe benchmarking.
testing
This skill should be used when the user asks to tune hyperparameters, run sweeps, optimize search spaces, or use AutoML. PROACTIVELY activate for: (1) Optuna, Ray Tune, FLAML, AutoGluon, Hyperopt, Nevergrad, KerasTuner, W&B sweeps, (2) grid search, random search, Bayesian optimization, TPE, Gaussian processes, evolutionary search, (3) ASHA, Hyperband, successive halving, multi-fidelity optimization, population-based training, (4) learning-rate finder, batch-size search, early stopping, pruning, (5) reproducible sweep design and experiment analysis. Provides: budget-aware hyperparameter search strategy.