Use when the user needs a prompt for ChatGPT, Claude, Gemini, Midjourney, Sora, or another external AI tool. Use content-writing for general copy and blog-writer for a complete article.
Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.
Une commande directe contourne le prompt de vérification. Examinez la source avant de l'exécuter.
Use when the user needs a prompt for ChatGPT, Claude, Gemini, Midjourney, Sora, or another external AI tool. Use content-writing for general copy and blog-writer for a complete article.
Use this skill to generate ready-to-use prompts or prompt-writing guidance for external AI tools. It is a utility layer for structured prompting, not a substitute for doing the underlying strategic or writing work inside this repository.
Use When
Use when the user needs a prompt for ChatGPT, Claude, Gemini, Midjourney, Sora, or another external AI tool.
Use when training a team to write better prompts for recurring workflows.
Use when the output should be a prompt package rather than the final artifact itself.
Do Not Use When
Do not use when the task can be completed directly inside the current workflow without a prompt handoff.
Do not use vague prompting to cover for weak task definition.
Do not assume one prompt format works equally well across all tools.
Route to content-writing instead for general copy, or blog-writer for a complete article.
Required Inputs
Input
Source / provider
Required?
If absent
Ai Prompt Writer brief and decision audience
Client, plan owner, or approved project files
Yes
Stop before making a recommendation; state the missing decision context.
Claims, assumptions, and supporting evidence
Source register, model, research notes, interviews, or operating records
Yes
Separate known facts from assumptions and return a qualified gap list.
Authority and delivery constraints
Requesting owner and repository instructions
Yes
Remain read-only and produce a draft or review only.
Target AI tool or tool category
Intended task, output format, and audience
Brand, country, or business context where relevant
Any must-include constraints, style rules, or source material
Workflow
Identify the target tool, task, and output type.
Clarify the audience, context, and constraints that the prompt must encode.
Choose the right prompt structure for that tool and task.
Draft the prompt so it is specific, testable, and easy to reuse.
Reconcile the prompt with any brand, business, or quality constraints.
Flag missing context that will weaken results.
Decision, stop, and recovery controls
Decision point: confirm that the requested output is the tested prompt specification and that the decision concerns which instructions and tests make the prompt usable.
Stop condition: halt the affected conclusion if required evidence is missing (target tool, task, inputs, constraints, examples, and prohibited outputs) or if the work could lead to this identified risk: shipping a prompt that fabricates sources or exceeds tool permissions.
Recovery: obtain the missing record or reviewer, repeat the affected check, and update the exception record before release.
Quality Bar
The prompt is specific enough to drive high-quality output.
Instructions fit the target tool rather than a generic AI abstraction.
Constraints, audience, and quality requirements are explicit.
The prompt can be reused or taught without further explanation.
Anti-Patterns
One-line generic prompts with no context or constraints.
Prompt templates that mix incompatible tool expectations.
Using prompt polish to avoid clarifying the real task.
Handing off sensitive or high-stakes work without review instructions.
Treating a generic ai prompt writer template as a conclusion. Correction: tie each choice to the named audience, evidence, and operating constraint.
Applying the wrong neighbouring route to ai prompt writer. Correction: confirm the decision and route to the named neighbour before analysis.
Treating an assumption as verified evidence. Correction: label it, cite its source or owner, and assign a verification action.
Recommending action without a decision threshold. Correction: state the measurable acceptance condition and review trigger.
Recording an unavailable check as passed. Correction: mark it not assessed and state the consequence for the decision.
Mutating or publishing during an analysis-only task. Correction: remain read-only until the owner gives explicit authority.
Outputs
Artefact
Consumer
Observable acceptance condition
Ai Prompt Writer deliverable
Named decision-maker or plan author
The recommended choice, assumptions, countercase, and next action are explicit.
Evidence and exception register
Reviewer, funder, board, or implementation owner
Every load-bearing claim is sourced or labelled as an assumption; missing checks are not shown as passes.
A ready-to-use prompt or prompt set
Optional training guidance or prompt-writing pattern
Any assumptions or missing context the user should resolve
Generate ready-to-paste prompts for any AI tool. Two modes:
Mode 1 Instant prompt: user needs a prompt right now during a session
Mode 2 Training guide: user wants to teach a team how to write AI prompts
Mode 1: Instant Prompt Generation
Step 1 Identify tool and task type
Ask (or infer from context):
Target AI tool ChatGPT / Gemini / Claude / Midjourney / DALL-E / Firefly / Runway / Sora / other
Output type text content / business document / image / video / other
Purpose what the output will be used for (caption, business plan section, logo concept, product video, etc.)
Audience and context who will see it; what brand, country, tone
If the user describes the need, infer the tool and proceed without asking.
Step 2 Select technique and build the prompt
Use the selector table below. Then build using the appropriate formula.
Section A Text Prompts (ChatGPT, Gemini, Claude, etc.)
The Alpha-Beta-Gamma-Delta-Epsilon Formula
Every high-quality text prompt contains five elements:
Alpha Role: "You are a [expert role] specialising in [domain] for [market]."
Beta Context: brand name, audience, platform, tone, product/offer details
Gamma Task: "Write [quantity] [format] using [framework]. [Length + required elements]."
Delta Constraints: "Do not mention [X]. Do not use the word [Y]. Avoid [Z]."
Epsilon Output format: "Present as [numbered list / table / plain text / JSON]."
Business document variant for plans, reports, proposals, pitch sections:
Alpha: You are a [role] with expertise in [domain] writing for [audience/funder].
Beta: [Business name], [industry], [country], [stage], [specific context].
Gamma: Write [section name]. Include: [required elements as numbered list].
Delta: Do not use AI cliches. Do not fabricate figures use placeholders [X] where data is needed.
Epsilon: Use headers and bullet points. British English. Max [word count].
Few-Shot (Examples-First) default for brand voice tasks
Here are [23] examples of [content type] in the voice and style I want:
###
[Example 1]
###
[Example 2]
###
Now write a new [content type] about [topic] in exactly the same voice and style.
Three or more examples produce reliable voice matching. Adjectives alone ("warm, professional, witty") do not.
Chain-of-Thought for strategy, analysis, reasoning tasks
Append to any prompt: "Think through this step by step before writing your answer."
Or for complex tasks: "First identify the key issues. Then analyse each one. Then give your conclusion."
Section B Image Generation Prompts (Midjourney, DALL-E 3, Adobe Firefly)
A confident Ugandan businesswoman in a modern Kampala office, reviewing a laptop screen, natural window light, editorial photography style, shallow depth of field, professional and warm mood --ar 16:9 --v 6
Example Product shot:
A jar of artisan honey on a wooden surface, scattered dried flowers, East African market backdrop, close-up macro photography, golden hour light, warm and natural mood --ar 1:1 --v 6 --style raw
DALL-E 3 formula (natural language)
DALL-E 3 responds better to descriptive sentences than comma-separated keywords:
A [detailed description of subject and action], set in [environment], in the style of [art style or photographer], [lighting description], [mood or atmosphere], [colour palette if relevant].
Example:
A smiling East African entrepreneur presenting to a small group in a bright co-working space in Nairobi, natural daylight, documentary photography style, warm and optimistic atmosphere, muted earth tones.
Adobe Firefly
Same as DALL-E 3 natural-language style. Add: [no text] if you do not want text in the image, and specify [photorealistic / illustrated / watercolour] for style control.
Section C Video Generation Prompts (Runway Gen-3, Sora, Kling)
Camera movement options: slow push in, slow pull back, aerial drone shot, handheld tracking shot, static wide shot, low-angle dolly, panning left/right
Example Business/brand video:
Slow push in on a young Ugandan entrepreneur typing on a laptop at a rooftop cafe in Kampala at golden hour, warm cinematic colour grading, professional documentary style, optimistic mood.
Example Product video:
Close-up slow-motion shot of honey being poured from a wooden dipper into a glass jar, natural light, warm amber tones, artisan food film style.
Runway-specific tips:
Keep prompts under 300 characters for Gen-3
Specify exact duration: [4 seconds], [8 seconds]
Avoid complex scene changes in one prompt generate separate clips
Quality Checklist for Any Generated Prompt
Before handing the prompt to the user, verify:
Role assigned (Alpha) not generic
Context specific brand, audience, country, tone stated
Task precise format, quantity, length, framework named
Constraints present at least 2 things to avoid
Output format specified how to present the result
No AI cliches in the prompt itself ("innovative", "seamless", "game-changing")
Uganda/EA context used where relevant (UGX pricing, local references, cultural markers)
Prompt is paste-ready user can copy and run immediately
East Africa Prompt Notes
Always include UGX [amount] when price is relevant never let the AI invent pricing
For WhatsApp: add plain text only, no markdown, no bullet symbols
For Luganda/Swahili: Include one [Luganda/Swahili] phrase with English translation in brackets
Local references that work: boda-boda, rolex (Ugandan street food), market day, Kampala traffic, Lake Victoria, matooke, mobile money
Avoid AI photo cliches: generic smiling call-centre staff, stock handshake photos, non-African faces in African context prompts
Mode 2: Team Training Guide
When the user needs a full AI prompt-writing training programme for client staff, read references/training-guide-modules.md and generate the complete 4-module guide substituting all client details.
Ask for: business name, industry, country/city, team size, AI experience level, primary content types, preferred AI tools, training format.
References
references/prompt-techniques-john.md 24 Ibrahim John prompt techniques with formulas and business plan applications (John, 2023)
references/training-guide-modules.md Mode 2 full training content: Modules 14, all worked examples, East Africa context notes, quality criteria
Evidence Produced
Evidence
Format
Acceptance condition
Tested prompt specification decision trace
Sources, calculations, assumptions, countercase, and selected action
A reviewer can trace the selected action and rejected alternatives to the cited inputs.
Exception record
Failed and not-assessed checks with owner and due action
The register exposes every unresolved exception that could lead to shipping a prompt that fabricates sources or exceeds tool permissions.
Capability and Permission Boundaries
Read supplied records and use non-mutating checks to produce the tested prompt specification; drafting and locally testing prompts without submitting private data externally is permitted when requested. Do not publish, contact third parties, alter live systems, commit funds, or claim legal, tax, audit, valuation, ESG, or investment assurance without the owner's explicit authorisation and the appropriate reviewer.
Degraded Mode
If target tool, task, inputs, constraints, examples, and prohibited outputs cannot be obtained, return a qualified tested prompt specification covering only the checks that remain supportable. Leave this decision unresolved: which instructions and tests make the prompt usable. Record the evidence owner and next check; an inaccessible source, tool, or reviewer is never a pass.
Decision Rules
Decision condition
Action
Failure or risk avoided
Evidence is sufficient to decide: which instructions and tests make the prompt usable
Record the conclusion, source trail, owner, and review trigger in the tested prompt specification.
Risk of shipping a prompt that fabricates sources or exceeds tool permissions
Material evidence conflicts or remains uncertain
Run both prompt variants on the same representative cases, including refusal and missing-input tests, and keep the simpler one that meets the rubric.
Selecting an option without resolving the decision-relevant uncertainty
Required evidence is missing: target tool, task, inputs, constraints, examples, and prohibited outputs
Mark the decision on which instructions and tests make the prompt usable not assessed in the tested prompt specification, and send it to the prompt owner and tool-risk reviewer.
Otherwise, the work risks shipping a prompt that fabricates sources or exceeds tool permissions
Quality Standards
Accept the tested prompt specification only when evidence is sufficient for this decision: which instructions and tests make the prompt usable. Assumptions and countercases remain visible, calculations and cross-references reconcile, and the reviewer can see how the recommendation addresses the risk of shipping a prompt that fabricates sources or exceeds tool permissions.
Worked Example
A research prompt asks the model to fill every missing statistic. Rewrite it to cite supplied sources, label gaps, refuse invention, and pass representative missing-input tests before handoff.
