Marketing Foundation
Compact two-skill starter: clarify positioning and choose a lead magnet. Use Marketing Launch for the broader eight-skill go-to-market workflow.
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Compact two-skill starter: clarify positioning and choose a lead magnet. Use Marketing Launch for the broader eight-skill go-to-market workflow.
Build an evidence-led marketing plan from ICP and competition through positioning, campaigns, growth and measurement.
Diagnose architecture and context, plan agent-team responsibilities, then organize project context and session handoffs. Memory and cost-runtime reviews remain outside this pack.
Review the journey from landing page and lead capture through registration, first value and transparent upgrades.
Plan a campaign, draft its channel content and review the work against actual brand guidance.
Prioritize an editorial roadmap and plan how to launch and distribute it across suitable channels.
Understand customer needs, compare competitors and plan a community around real member value.
Choose a relevant lead magnet, then draft a permission-based nurture journey with entry, suppression and exit rules.
Define the API contract, then plan how to observe its latency, failures and retries. Guidance and checklist; no production changes.
Profile a dataset, choose and interpret statistical methods, then validate calculations and conclusions before sharing.
Write timed cinematic video prompts with motion, camera and continuity cues.
--- name: cinematic-video-prompting description: "Generate text-to-video and image-to-video prompts with shot timing, subject motion, camera movement, lensing, lighting, audio cues, continuity anchors, and model-aware constraints." --- # cinematic-video-prompting ## When to use - The user wants text-to-video, image-to-video, first/last-frame, video extension, multi-shot, audio-aware, or motion-control prompts. - The user has a shot list or still image and wants to animate it. - The task requires duration math, camera movement, subject motion, physical consequence, lip sync, or video-specific failure prevention. ## When not to use - The user only needs a still image prompt. - The user is still developing story with no visual beat. - The user wants editing of a real video file rather than prompt design. ## Required inputs - Scene or shot goal - Target duration - Subject and action - Camera/framing - Continuity anchors ## Optional inputs - Reference image/video/audio roles - Target model - Aspect ratio/resolution - Dialogue line - Audio design - Negative constraints ## Workflow 1. Identify the shot purpose and emotional turn. 2. Respect the clock: choose one dominant action and one dominant camera behavior for short clips unless the model explicitly supports multi-shot. 3. Write time blocks or beat blocks when the model benefits from sequential structure. 4. Pair every action with physical consequence: weight, friction, follow-through, environmental reaction, or sound. 5. Specify camera movement, lens feel, framing, lighting, palette, texture, and realism guardrails. 6. For I2V, preserve source composition and describe only motion, camera, lighting shift, and audio. 7. Add audio layers where supported: dialogue, ambience, foley/SFX, and music mood. 8. Add edit/post notes when this prompt belongs to a larger AI short-film package: take count, cut point, color-grain unification, and audio bed. 9. Route to model-adaptation when a named model is involved. ## Decision logic - If a prompt contains two or more big actions, split into shots. - If identity drift is likely, generate/reference a character sheet first. - If hands, mirrors, text, or logos are central, redesign framing or use a more suitable model. - If the model supports negative prompts, cap constraints to the few failures that would ruin the clip. ## Output formats - Universal video prompt brief - Text-to-video prompt - Image-to-video prompt - Time-blocked prompt - Audio cue block - Continuity guardrails - Model-adaptation handoff ## Quality checks - Duration, shot count, camera movement, and action complexity are compatible. - Motion is concrete and continuous, not a vague mood. - Subject and camera motion do not conflict. - Continuity anchors protect identity, wardrobe, props, and location state. - Known failure modes are addressed without over-constraining. ## Anti-patterns - Trying to direct a full film in one prompt - Multiple camera moves in one short clip - Long dialogue in an 8-second clip - Describing an uploaded image again instead of animating it - Using negative prompts as a dumping ground for every fear. ## Exit criteria - The video prompt is ready for the target workflow or for model-specific export. ## Supporting files Read only the supporting file needed for the active task: - `references/video_prompt_components.md` - `references/camera_lens_movement.md` - `references/audio_motion_timing.md` - `references/ai_film_production_pipeline.md` - `references/prompt_anatomy.md` - `templates/text_to_video_prompt.md` - `templates/image_to_video_prompt.md`
Write timed cinematic video prompts with motion, camera and continuity cues.
The complete original workflow, with source attribution and the limitations below.
Confirm the task, check actual dependencies, then apply the relevant original instructions within authorized scope.
Shot goal, duration, subject/action, continuity anchors and target model if known.
Published after an obvious-danger screen under the user-requested policy, not a functional test. Supporting files required conditionally by the original are not supplied: references/video_prompt_components.md, references/camera_lens_movement.md, references/audio_motion_timing.md, references/ai_film_production_pipeline.md, references/prompt_anatomy.md, templates/text_to_video_prompt.md, templates/image_to_video_prompt.md. Related model-adaptation/continuity handoffs must be available for the actual task; loading this source does not load them. No media generation, model-capability verification or code execution was performed. Treat named-model parameters as unknown until checked and use authorized references/assets.
Use Cinematic Video Prompts for [TASK]. Ask for missing inputs: Shot goal, duration, subject/action, continuity anchors and target model if known. Check the declared dependencies and limitations before execution. Return the original output structure with known facts, assumptions and unresolved requirements separated.
Claiming that unavailable source dependencies are bundled or that generated outputs, integrations or model behavior have been tested. Actual media generation without a separately available authorized tool.
M11 added German routing, task inputs and explicit source-package limitations; the original author remains separate from M11 curation. Published after an obvious-danger screen under the user-requested policy, not a functional test. Supporting files required conditionally by the original are not supplied: references/video_prompt_components.md, references/camera_lens_movement.md, references/audio_motion_timing.md, references/ai_film_production_pipeline.md, references/prompt_anatomy.md, templates/text_to_video_prompt.md, templates/image_to_video_prompt.md. Related model-adaptation/continuity handoffs must be available for the actual task; loading this source does not load them. No media generation, model-capability verification or code execution was performed. Treat named-model parameters as unknown until checked and use authorized references/assets.
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