peterbamuhigire/skills/content-writing/prompt-library-image-audio-video

AI Prompt Library — Image, Audio, and Video

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Use when

• Provides structured prompt frameworks and quality standards for AI-generated image, audio, video, and music content — ensuring all non-text AI assets meet the Golden Rule: output that looks, sounds, and feels like it was produced by the best skilled human creatives. Invoke when generating any AI-powered visual, audio, or video content for a client campaign, thought leadership asset, personalised outreach sequence, or brand content programme.
• Use this skill when it is the closest match to the requested deliverable or workflow.

Do not use when

• Do not use this skill for graphic design, video production, software development, or legal advice beyond the repository's stated scope.
• Do not use it when another skill in this repository is clearly more specific to the requested deliverable.

Workflow

1. Collect the required inputs or source material before drafting, unless this skill explicitly generates the intake itself.
2. Follow the section order and decision rules in this SKILL.md; do not skip mandatory steps or required fields.
3. Review the draft against the quality criteria, then deliver the final output in markdown unless the skill specifies another format.

Anti-Patterns

• Do not invent client facts, performance data, budgets, or approvals that were not provided or clearly inferred from evidence.
• Do not skip required inputs, mandatory sections, or quality checks just to make the output shorter.
• Do not drift into out-of-scope work such as code implementation, design production, or unsupported legal conclusions.

Outputs

• An AI-focused strategy, audit, system design, or prompt asset in markdown with human review and control points.

References

• Use the inline instructions in this skill now. If a references/ directory is added later, treat its files as the deeper source material and keep this SKILL.md execution-focused.

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Required Input

Ask for the following before generating any AI media prompts:

1. Client business name — the exact trading name used publicly
2. Industry — e.g. hospitality, financial services, retail, professional services
3. Country/city — default: Uganda/Kampala
4. Primary goal — what the asset is for: social media post, explainer video, voice-over, podcast, outreach video, background music
5. Medium — select one or more: image / voice-over / avatar video / podcast audio / background music
6. Platform or tool — specify the AI tool to be used (e.g. Midjourney, ElevenLabs, HeyGen, Suno AI)
7. Brand voice anchors — tone (warm/authoritative/conversational), visual palette, and any existing style references

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The Multi-Medium Golden Rule

Every AI-generated asset — image, audio, or video — must meet the same standard: it must look, sound, and feel as though it was produced by a skilled human creative. The failure signatures differ by medium:

• Image: uncanny skin texture, slightly off proportions, hyperrealistic fantasy-realist lighting
• Audio: robotic prosody, unnatural word stress, monotone delivery
• Video: jerky avatar motion, stilted pacing, mismatched lip sync
• Music: technically proficient but emotionally thin — what Cowen describes as lacking the "ineffable something" of human composition (Ching and Mothi, 2025)

Each medium has its own prompt structure to prevent these failures.

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Medium 1 — AI Image Generation

See image-prompt-engineer for the full Eight-Layer Prompt Anatomy, negative prompt library, platform technical parameters, and cultural accuracy review protocol.

Summary for this skill:

• Specify all eight layers: Subject, Environment, Lighting, Colours, Mood, Composition, Style, Technical Parameters
• Always include a negative prompt
• Always review images of East African subjects with a human reviewer who has direct cultural knowledge before client delivery
• Document the seed number for every approved image to maintain campaign consistency

Cross-reference image-prompt-engineer for full platform syntax (Midjourney, DALL-E 3, Stable Diffusion, Flux, Adobe Firefly).

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Medium 2 — AI Audio (Text-to-Speech and Voice Generation)

Tools: ElevenLabs, Murf, Resemble AI, Descript, NotebookLM (podcast-style audio)

What Makes AI Audio Sound Human

Four factors cause AI audio to sound robotic. Address each before generating:

1. Sentence length. AI voices stumble on sentences over 25 words. Break long sentences before entering text into a TTS tool.

2. Punctuation as prosody. Commas create micro-pauses; em dashes create dramatic pauses; ellipses suggest hesitation. Use punctuation deliberately to shape the spoken rhythm of the script — not just for grammar.

3. Consonant clustering. Consecutive words starting with the same consonant produce robotic, over-emphasised stress. Rewrite alliterative sequences before generating.

4. Speaking style selection. Choose a speaking style explicitly in platform settings — "conversational," "authoritative," "warm and friendly" — never default to the neutral tone.

Voice-Over Script Prompt Template

Script for [platform: LinkedIn video / Instagram Reel / explainer video / podcast]
Duration target: [X seconds / X minutes]
Speaking style: [conversational and warm / authoritative and clear / enthusiastic and energetic]
Audience: [describe the target listener — role, location, primary concern]
Core message: [one sentence — the single thing the listener must remember]
CTA at end: [specific instruction — WhatsApp number, website URL, or next step]
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[Script text — write in spoken register, not written register.
Short sentences. Active voice. No jargon. One idea per sentence.]

Spoken register rules: Write "you can" not "one may." Write "let's" not "let us." Write "here's what that means" not "the following section describes." Read the script aloud before generating — if it sounds unnatural when spoken, rewrite it.

NotebookLM Podcast Production

Upload source documents (a strategy report, blog post series, or research summary); NotebookLM generates a conversational two-host podcast episode.

Best use: internal knowledge-sharing, client education, thought leadership audio.

Important: Always review and edit the generated transcript before producing the final audio. The AI hosts occasionally add incorrect context, misattribute sources, or insert inaccurate statistics. The transcript is the editorial record — treat it as a draft.

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Medium 3 — AI Avatar and Video Generation

Tools: HeyGen, Synthesia, D-ID, Runway, Pika Labs

Avatar Video Script Rules

• Write all scripts in spoken register — as if speaking aloud, not writing
• Maximum 150 words per minute — AI avatars cannot deliver fast speech naturally
• One idea per sentence — compound sentences cause pacing and lip-sync errors
• Avoid contractions if the avatar uses a non-native English accent setting — they often distort
• Avoid idioms that may not translate to neutral delivery ("hit the ground running," "low-hanging fruit")

AI Avatar Video Script Template

[Opening — 5 seconds]
Hook. One sentence that names the viewer's problem or goal.
Example: "If you're losing customers to competitors and you don't know why, this is for you."

[Body — 60–90 seconds]
Three key points. One sentence per point. Transition word between each.
Point 1: [specific insight or fact]
Transition: "And there's more —" / "Here's why that matters —" / "But here's the part most people miss:"
Point 2: [specific insight or fact]
Transition: [as above]
Point 3: [specific insight or fact]

[CTA — 10 seconds]
One specific instruction. Include the contact method.
Example: "Send us a WhatsApp message on [number] today — we'll respond within the hour."

Total word count: under 250 words for a 90-second video.

Personalised Video Outreach

Personalised video achieves 75% open rates and 40% response rates in B2B outreach (Roth and neuroflash Team, 2024/2025). Use HeyGen or Tavus for campaign-scale personalised video.

Prompt structure: Write one master script with placeholder variables:

• {{first_name}} — recipient's first name
• {{company_name}} — recipient's company
• {{specific_detail}} — one personalised observation about their business

The AI renders a unique video per recipient with the avatar appearing to speak directly to them. Review the master script carefully — all placeholder replacements are machine-generated at scale.

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Medium 4 — AI Music and Sound

Tools: Suno AI, Udio, Soundraw, AIVA, Beatoven.ai

Background Music Prompt Template

Style: [genre: warm acoustic / energetic Afrobeats / calm ambient / professional corporate]
Mood: [emotional register: motivating / relaxing / celebratory / trustworthy / urgent]
Tempo: [slow / medium / upbeat]
Instruments: [specify if required: piano and strings / guitar and percussion / synths only]
Duration: [X seconds]
Use: [social media background / explainer video / podcast intro / presentation background]

The Human Quality Standard for AI Music

Ching and Mothi (2025) document that AI-generated music — even when technically proficient — frequently lacks the emotional depth and cultural resonance of human-composed music. Suno AI tracks were found to be technically acceptable but thin in emotional weight.

The test: after generating a track, ask a human reviewer with musical knowledge — "Does this music feel right for this moment, or is it merely technically acceptable?" If the answer is the latter, regenerate with a more specific mood and instrument brief, or commission a human musician.

All AI-generated music for client use must pass this review before deployment.

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Disclosure Requirements

Under the EU AI Act (Article 4) and emerging global standards, AI-generated audio and video must be disclosed where the content is presented as a real person or used commercially.

Apply the following to every AI media asset:

| Asset type | Disclosure requirement | |---|---| | AI voice-over | Disclose in the production record; inform the client | | AI avatar video (brand character) | No disclosure required if clearly a brand avatar, not a real person | | AI avatar video (presented as real person) | Disclose to the end audience | | AI-generated music (commercial distribution) | Disclose in metadata | | AI-generated images (commercial use) | Confirm Adobe Firefly or equivalent for licensing-safe output |

SynthID (Google/DeepMind) is the current standard for watermarking AI-generated audio; equivalent tools exist for images and video. Apply SynthID watermarking to all AI audio produced for commercial client distribution.

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Campaign Consistency Protocol

Maintain consistency across all AI-generated assets in a single campaign:

1. Image: document seed number and full prompt for every approved image — reuse the same seed for all campaign assets
2. Voice: use the same voice ID, speaking style, and speed setting throughout the campaign — document these in the production record
3. Video: use the same avatar, background, and script structure across all campaign videos
4. Music: use the same generated track (or the same generation parameters) across all videos in a campaign

Note the production record fields: Asset ID | Tool | Prompt or Script | Seed/Voice ID | Style Settings | Date Generated | Human Reviewer | Approved (Y/N).

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Quality Criteria

Good output from this skill meets all of the following standards:

• All AI-generated audio reviewed for prosody and natural rhythm — no robotic stress patterns, unnatural pauses, or monotone delivery before client delivery
• All AI-generated video scripts written in spoken register, at no more than 150 words per minute, with one idea per sentence
• All AI-generated images reviewed against the Eight-Layer quality standard and cultural accuracy protocol — cross-reference image-prompt-engineer
• All AI-generated music reviewed by a human with musical knowledge before deployment — the "ineffable something" test applied
• Disclosure recorded for every AI-generated media asset in the production record, with client informed
• Placeholder variables used in all video scripts intended for personalised outreach — no manual personalisation at scale
• Brand consistency maintained across all assets in a campaign — same seed, same voice ID, same style parameters documented and applied throughout

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References

• Ching, C. and Mothi, N. (2025) AI for Creatives. Referenced for the "ineffable something" AI music quality finding.
• Roth, H. and neuroflash Team (2024/2025) AI Strategy 2025 for Marketing Teams. Referenced for personalised video outreach performance data.
• LetsEnhance (2024) How to Write AI Image Prompts — From Basic to Pro. Referenced for image prompt anatomy.
• EU AI Act, Article 4 (2024) — AI-generated content disclosure requirements.