# Marketing Human Guide ## What This Is For Helps with the user wants a campaign system, not one isolated asset. It gives the agent a clearer input/output frame for marketing: what context to ask for, what decisions to make, and what usable artifact to return. Use this as a human-readable version of the Marketing agent skill. It is meant for marketers, operators, founders, and other non-coders who want the workflow without reading agent-specific implementation instructions. ## When To Use This - Use this when you need a repeatable process for marketing. - Use this when the task needs judgment, examples, constraints, or a clear output format rather than a one-off prompt. - Use this when you want to hand an AI assistant enough context to produce a usable marketing artifact. ## When Not To Use This - Do not use this when you only need a quick factual answer. - Do not use this when the work depends on private data you cannot share with the assistant. - Do not use this as a replacement for legal, compliance, financial, or medical review. ## What You Need Before Starting - The goal or business outcome you want. - The audience, customer segment, or market context. - Any source material the assistant should respect, such as notes, briefs, examples, URLs, or brand guidance. - Constraints such as tone, length, channel, deadline, region, or approval requirements. - A clear definition of what a good final answer should look like. ## Step-By-Step Workflow 1. State the job clearly: "Use the Marketing guide to help me with..." 2. Add context: audience, goal, offer, channel, source material, and constraints. 3. Ask the assistant to identify missing inputs before producing the final output. 4. Have the assistant follow the skill-specific guidance below. 5. Review the result against the final checklist and ask for revisions where needed. ## Skill-Specific Guidance - `references/campaign-patterns.md` - Objective: launch, acquisition, retargeting, activation, education, event. - Audience: persona, market, use case, awareness level, objections. - Offer: product, feature, bundle, trial, waitlist, event, promotion. - Channels: paid social, organic social, landing page, email, display, app. - Required assets: stills, video, thumbnails, hero image, carousel, banner. - Brand rules: colors, logo use, typography, tone, taboo visuals, competitors. - Source media: product images, screenshots, app UI, people, logo, prior ads. - Claims: exact approved copy, proof points, disclaimers, compliance limits. - Budget preference: final-quality, draft exploration, or mixed pipeline. - Start from routed endpoint IDs. - Inspect the selected endpoint before planning exact payloads. ## Decision Points And Nuance The original skill emphasizes: Inputs to collect, Genmedia workflow, Brief build order, Prompt build order, Model routing, Quality bar, Supporting file: references/campaign-patterns.md, Hook, proof, context, conversion, Awareness ladder, Channel matrix. Use these questions to steer the work: - What is the intended audience or buyer? - What source material must be preserved? - What should the assistant optimize for: clarity, persuasion, accuracy, speed, creativity, or conversion? - What examples represent the desired quality bar? - What should the assistant avoid? ## Common Mistakes - plan, downloaded files, and clear defects. Do not add fake claims, fake social - Required assets: stills, video, thumbnails, hero image, carousel, banner. - Use schema fields exactly. Do not pass guessed flags. Mirror names such as - Product truth: what the product is and what must stay accurate. - Do not mix model changes and concept changes in the same test unless the ## Copy-And-Paste Prompt ```text Use the Marketing human guide. My goal: [Describe the business outcome] Audience: [Describe who this is for] Context and source material: [Paste notes, examples, links, or existing copy] Constraints: [Tone, length, channel, timeline, must-include items, must-avoid items] Before producing the final output, ask me for any missing information that would materially improve the result. ``` ## Final Checklist - [ ] The output matches the original goal. - [ ] The audience and context are reflected in the answer. - [ ] Important constraints and source material were preserved. - [ ] The assistant made the relevant decisions explicit. - [ ] The final artifact is ready to use, review, or hand to the next person. ## Source This guide was generated from the fal-ai-community/skills skill entry for `marketing`. ## Source Skill Notes These notes preserve the nuance from the original skill. Use them as supporting reference when the workflow above feels too generic. # Marketing production with genmedia Use this skill when the user wants a campaign system, not one isolated asset. Load references as needed: - `references/campaign-patterns.md` - `references/workflows.md` - `references/examples.md` Load `model-routing` alongside this skill for default endpoint choices. Marketing output should be executable: a brief, asset matrix, genmedia command plan, downloaded files, and clear defects. Do not add fake claims, fake social proof, fake partner logos, fake award badges, or invented legal copy. ## Inputs to collect Only ask when missing details would change the asset plan. - Objective: launch, acquisition, retargeting, activation, education, event. - Audience: persona, market, use case, awareness level, objections. - Offer: product, feature, bundle, trial, waitlist, event, promotion. - Channels: paid social, organic social, landing page, email, display, app. - Required assets: stills, video, thumbnails, hero image, carousel, banner. - Brand rules: colors, logo use, typography, tone, taboo visuals, competitors. - Source media: product images, screenshots, app UI, people, logo, prior ads. - Claims: exact approved copy, proof points, disclaimers, compliance limits. - Budget preference: final-quality, draft exploration, or mixed pipeline. ## Genmedia workflow 1. Start from routed endpoint IDs. ```bash genmedia models --endpoint_id openai/gpt-image-2 --json genmedia models --endpoint_id fal-ai/nano-banana-pro/edit --json genmedia models --endpoint_id fal-ai/nano-banana-2 --json genmedia models --endpoint_id bytedance/seedance-2.0/image-to-video --json genmedia models --endpoint_id bytedance/seedance-2.0/text-to-video --json genmedia models --endpoint_id veed/fabric-1.0 --json ``` Use text search only as fallback discovery for a missing channel role: ```bash genmedia models "marketing banner image typography" --json genmedia models "social ad video product campaign" --json genmedia docs "image generation text rendering" --json ``` 2. Inspect the selected endpoint before planning exact payloads. ```bash genmedia schema --json genmedia pricing --json ``` 3. Upload all source media. ```bash genmedia upload ./product.png --json genmedia upload ./logo.svg --json genmedia upload ./screenshot.png --json genmedia upload ./creator.jpg --json ``` 4. Build the campaign matrix before generating. Minimum matrix: - Hook asset: earns attention in the first frame. - Proof asset: shows product, result, process, feature, or evidence. - Context asset: places product in audience use case. - Conversion asset: clean end frame with safe space for external copy. 5. Run still assets synchronously when quick. ```bash genmedia run \ --prompt "" \