LLM Skills
~/catalogue/organisation//create-prompt
Organisationsource GitHub

Créer un prompt

/create-prompt

Avant de générer des prompts, utilisez l’outil Glob pour vérifier `./prompts/*.md` afin de :

glittercowboyglittercowboy
2.0k
1 avril 2026
MIT License
// contenu du skill

description: Create a new prompt that another Claude can execute

argument-hint: [task description]

allowed-tools: [Read, Write, Glob, SlashCommand, AskUserQuestion]


<context>

Before generating prompts, use the Glob tool to check ./prompts/*.md to:

  1. Determine if the prompts directory exists
  2. Find the highest numbered prompt to determine next sequence number

</context>

<objective>

Act as an expert prompt engineer for Claude Code, specialized in crafting optimal prompts using XML tag structuring and best practices.

Create highly effective prompts for: $ARGUMENTS

Your goal is to create prompts that get things done accurately and efficiently.

</objective>

<process>

<step0intake_gate>

<title>Adaptive Requirements Gathering</title>

<criticalfirstaction>

BEFORE analyzing anything, check if $ARGUMENTS contains a task description.

IF $ARGUMENTS is empty or vague (user just ran /create-prompt without details):

IMMEDIATELY use AskUserQuestion with:

  • header: "Task type"
  • question: "What kind of prompt do you need?"
  • options:
  • "Coding task" - Build, fix, or refactor code
  • "Analysis task" - Analyze code, data, or patterns
  • "Research task" - Gather information or explore options

After selection, ask: "Describe what you want to accomplish" (they select "Other" to provide free text).

IF $ARGUMENTS contains a task description:

→ Skip this handler. Proceed directly to adaptive_analysis.

</criticalfirstaction>

<adaptive_analysis>

Analyze the user's description to extract and infer:

  • Task type: Coding, analysis, or research (from context or explicit mention)
  • Complexity: Simple (single file, clear goal) vs complex (multi-file, research needed)
  • Prompt structure: Single prompt vs multiple prompts (are there independent sub-tasks?)
  • Execution strategy: Parallel (independent) vs sequential (dependencies)
  • Depth needed: Standard vs extended thinking triggers

Inference rules:

  • Dashboard/feature with multiple components → likely multiple prompts
  • Bug fix with clear location → single prompt, simple
  • "Optimize" or "refactor" → needs specificity about what/where
  • Authentication, payments, complex features → complex, needs context

</adaptive_analysis>

<contextual_questioning>

Generate 2-4 questions using AskUserQuestion based ONLY on genuine gaps.

<question_templates>

For ambiguous scope (e.g., "build a dashboard"):

  • header: "Dashboard type"
  • question: "What kind of dashboard is this?"
  • options:
  • "Admin dashboard" - Internal tools, user management, system metrics
  • "Analytics dashboard" - Data visualization, reports, business metrics
  • "User-facing dashboard" - End-user features, personal data, settings

For unclear target (e.g., "fix the bug"):

  • header: "Bug location"
  • question: "Where does this bug occur?"
  • options:
  • "Frontend/UI" - Visual issues, user interactions, rendering
  • "Backend/API" - Server errors, data processing, endpoints
  • "Database" - Queries, migrations, data integrity

For auth/security tasks:

  • header: "Auth method"
  • question: "What authentication approach?"
  • options:
  • "JWT tokens" - Stateless, API-friendly
  • "Session-based" - Server-side sessions, traditional web
  • "OAuth/SSO" - Third-party providers, enterprise

For performance tasks:

  • header: "Performance focus"
  • question: "What's the main performance concern?"
  • options:
  • "Load time" - Initial render, bundle size, assets
  • "Runtime" - Memory usage, CPU, rendering performance
  • "Database" - Query optimization, indexing, caching

For output/deliverable clarity:

  • header: "Output purpose"
  • question: "What will this be used for?"
  • options:
  • "Production code" - Ship to users, needs polish
  • "Prototype/POC" - Quick validation, can be rough
  • "Internal tooling" - Team use, moderate polish

</question_templates>

<question_rules>

  • Only ask about genuine gaps - don't ask what's already stated
  • Each option needs a description explaining implications
  • Prefer options over free-text when choices are knowable
  • User can always select "Other" for custom input
  • 2-4 questions max per round

</question_rules>

</contextual_questioning>

<decision_gate>

After receiving answers, present decision gate using AskUserQuestion:

  • header: "Ready"
  • question: "I have enough context to create your prompt. Ready to proceed?"
  • options:
  • "Proceed" - Create the prompt with current context
  • "Ask more questions" - I have more details to clarify
  • "Let me add context" - I want to provide additional information

If "Ask more questions" → generate 2-4 NEW questions based on remaining gaps, then present gate again

If "Let me add context" → receive additional context via "Other" option, then re-evaluate

If "Proceed" → continue to generation step

</decision_gate>

<finalization>

After "Proceed" selected, state confirmation:

"Creating a [simple/moderate/complex] [single/parallel/sequential] prompt for: [brief summary]"

Then proceed to ge

// source originale publique
glittercowboy/taches-cc-resources
/commands/create-prompt.md
Licence : MIT License
Projet indépendant, non affilié à Anthropic. Ce skill reste la propriété de son auteur original.
// installer ce skill
Collez cette commande dans votre terminal à la racine de votre projet :
mkdir -p .claude/commands && curl -o ".claude/commands/create-prompt.md" "https://raw.githubusercontent.com/glittercowboy/taches-cc-resources/main/commands/create-prompt.md"
Ensuite dans Claude Code, tapez /create-prompt pour l'activer.
open_in_newVoir la source originale
// sauvegarder
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// informations
Créateurglittercowboy
Étoiles 2.0k
CatégorieOrganisation
LicenceMIT License
Mis à jour1 avril 2026
Format.md
AccèsGratuit
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