Explorer: Clarification de Tâche Adaptative

VérifiéSûr

Transforme les demandes vagues en spécifications exploitables via un questionnement socratique systématique. Utile lorsque l'utilisateur présente une tâche ambiguë, un problème complexe, ou une décision stratégique qui nécessite une clarification avant exécution. Ne fournit pas de solutions tant que la tâche n'est pas complètement explorée.

Spar Skills Guide Bot
ProductiviteIntermédiaire
02/06/2026
Claude Code
#task-clarification#requirements-elicitation#socratic-questioning#problem-definition#vague-request

Recommandé pour

Synthèse automatique

Transforme des demandes vagues en spécifications exploitables via un questionnement systématique.

Points forts

  • Empêche de résoudre le mauvais problème
  • S'adapte à différents types de tâches
  • Révèle les contraintes et les vrais objectifs
  • Réduit les malentendus

Limites

  • Nécessite une participation active de l'utilisateur
  • Peut sembler long si l'utilisateur est pressé
  • Moins utile pour des tâches très simples
Quand l'utiliser

Utilisez cette compétence lorsque vous recevez une demande ambiguë ou complexe nécessitant de clarifier le besoin réel.

Quand l'éviter

Ne l'utilisez pas si les exigences sont déjà claires, précises et sans ambiguïté.

Analyse de sécurité

Sûr
Score qualité90/100

The skill only provides conversational guidance for task clarification and contains no executable code, tool usage, or network operations.

Aucun point d'attention détecté

Comment cette analyse est faite

Exemples

Vague product idea
I want to build a better customer support system.
Unclear goal
Help me plan my website redesign.
Ambiguous need
I need a tool to track team productivity.

name: explore description: > Adaptive task exploration and clarification skill for transforming vague requests into actionable specifications. Use when a user presents any task, problem, or goal that requires clarification before execution. Triggers on ambiguous requests, complex multi-part tasks, "I want to...", "help me with...", strategic decisions, product ideas, creative briefs, and any situation where understanding the real need is essential before proposing solutions. Does NOT provide solutions until task is fully explored.

Explore: Adaptive Task Clarification

Transform vague requests into crystal-clear, actionable task specifications through systematic Socratic questioning.

Core Philosophy

Never solve before you understand. Most failed solutions solve the wrong problem. This skill ensures the real problem is understood before any solution is proposed.

Key principles:

  • Questions unlock understanding; answers often hide assumptions
  • The stated goal is rarely the real goal
  • Constraints reveal opportunities
  • Success criteria prevent scope creep

Task Classification

Before asking questions, classify the task type to select appropriate exploration dimensions:

| Task Type | Indicators | Primary Dimensions | |-----------|------------|-------------------| | Product/Feature | "build", "create app", "develop" | Outcome, Users, Constraints, Success | | Problem Solving | "fix", "solve", "issue with" | Root Cause, Constraints, Attempted Solutions | | Decision Making | "should I", "choose between", "evaluate" | Criteria, Tradeoffs, Timeline, Reversibility | | Creative | "write", "design", "make content" | Audience, Tone, Format, Examples | | Research | "find out", "analyze", "understand" | Scope, Depth, Sources, Deliverable | | Process/Workflow | "how to", "improve process" | Current State, Desired State, Blockers |

Exploration Dimensions

Select 3-5 dimensions based on task type. Each dimension has multiple question variants—choose the most natural for context.

1. The Real Objective

Uncover what success truly looks like, beyond the stated request.

Questions:

  • "If this worked perfectly, what would be different in your [work/life/business]?"
  • "What outcome would make you say 'this was absolutely worth it'?"
  • "Is this goal a means to something else, or the end itself?"
  • "If you could wave a magic wand and have any result, what would you choose?"

Red flags to probe: Generic goals ("make it better"), proxy metrics, solutions presented as requirements.

2. Constraints & Boundaries

Identify hard limits that shape the solution space.

Questions:

  • "What's absolutely off the table—budget, time, technology, or approach-wise?"
  • "What existing systems, processes, or decisions must this work with?"
  • "Who needs to approve this, and what are their non-negotiables?"
  • "What would disqualify a solution, even if it technically works?"

Red flags to probe: No constraints mentioned (usually means hidden ones), unrealistic expectations.

3. Available Resources

Understand leverage points and existing assets.

Questions:

  • "What do you already have that we could build on—data, tools, people, prior work?"
  • "Who else is involved, and what can they contribute?"
  • "What similar problems have you solved before, and what worked?"
  • "What's your actual capacity to implement this?"

Red flags to probe: Overestimated capabilities, unacknowledged dependencies.

4. Timeline & Urgency

Distinguish real deadlines from arbitrary ones.

Questions:

  • "What happens if this takes 2x longer than expected?"
  • "Is there a hard deadline, and what's driving it?"
  • "Would you prefer a quick 80% solution or a slower 100% solution?"
  • "What's the cost of delay vs. the cost of getting it wrong?"

Red flags to probe: Artificial urgency, no clear driver for deadline.

5. Success Criteria

Define what "done" actually means.

Questions:

  • "How will you know this is successful? What will you measure?"
  • "Who decides if this is good enough, and what will they look for?"
  • "What's the minimum viable outcome that would still be valuable?"
  • "In 6 months, what would make you regret the approach we took?"

Red flags to probe: Vague criteria ("stakeholders will be happy"), moving targets.

6. Attempted Solutions (for problems)

Learn from what hasn't worked.

Questions:

  • "What have you already tried, and why didn't it work?"
  • "What solutions have you considered but rejected?"
  • "What would the obvious solution be, and why isn't that good enough?"

7. Audience & Stakeholders (for products/content)

Understand who this serves.

Questions:

  • "Who specifically will use this, and what's their context when they do?"
  • "What does your audience already know or believe about this?"
  • "Who might be negatively affected, and does that matter?"

Execution Protocol

Phase 1: Initial Assessment (1 turn)

  1. Parse the user's request
  2. Identify what's already clear from context
  3. Classify task type
  4. Select 3-5 most critical dimensions
  5. Note any immediate red flags or assumptions

Phase 2: Adaptive Questioning (3-7 turns)

Rules:

  • Ask ONE question at a time
  • Make questions specific and decision-shaping, not generic
  • Challenge vague answers: "Can you be more specific about...?"
  • Acknowledge answers before next question
  • Skip dimensions already clarified
  • Stop when you have enough to create a clear brief

Question Sequencing:

  1. Start with Real Objective (reveals the most)
  2. Follow with Constraints (narrows solution space)
  3. Then Success Criteria (defines done)
  4. Fill gaps with other dimensions as needed

Adaptive behavior:

  • If user gives detailed answer → compress follow-ups
  • If user seems frustrated → summarize and ask if they want to continue
  • If contradiction detected → gently probe: "Earlier you mentioned X, but now Y—help me understand?"

Phase 3: Task Brief Synthesis (1 turn)

After sufficient exploration, synthesize into a Task Brief:

## Task Brief

**Objective:** [Clear statement of what we're actually solving]

**Context:** [Relevant background and constraints]

**Success Criteria:**
- [Measurable criterion 1]
- [Measurable criterion 2]

**Constraints:**
- [Hard constraint 1]
- [Hard constraint 2]

**Resources Available:** [What we can leverage]

**Timeline:** [Deadline and urgency level]

**Key Assumptions:** [Things we're assuming that could change the approach]

**Out of Scope:** [Explicitly excluded items]

Ask user: "Does this capture what you need? Anything to add or correct?"

Phase 4: Handoff

Once validated, either:

  • Proceed to solution (if user wants immediate help)
  • Export brief for later use
  • Suggest appropriate next steps/skills

Anti-Patterns to Avoid

❌ Interrogation mode: Don't fire questions robotically ❌ Assuming context: Don't skip clarification because you "think" you understand ❌ Premature solutions: Don't hint at solutions before exploration is complete ❌ Over-questioning: Stop when you have enough clarity ❌ Generic questions: Each question should be tailored to this specific task ❌ Ignoring signals: If user provides info proactively, don't re-ask

Example Flow

User: "I want to create a dashboard for my team"

Claude (Phase 1 assessment):

  • Task type: Product/Feature
  • Unclear: Who uses it, what data, what decisions it enables, timeline
  • Dimensions needed: Real Objective, Audience, Constraints, Success Criteria

Claude: "Before we dive in—what decisions will your team make differently once they have this dashboard? What's the main insight they're missing today?"

[User answers about tracking project delays]

Claude: "Got it—so the core need is visibility into project health to catch delays early. How do you know a project is delayed today? What's the current process for catching these issues?"

[Continues adaptively based on answers...]

Integration Notes

After exploration, this skill can hand off to:

  • problem-solver-enhanced (for complex problems)
  • goap-research (for research tasks)
  • frontend-design (for UI/product tasks)
  • Any implementation skill with the structured Task Brief

Du fichier au premier essai

Le téléchargement contient exactement le contenu affiché sur cette fiche. Cette copie peut différer de la dernière version du dépôt source.

Consulter la source et ses fichiers annexes

Ce téléchargement contient uniquement SKILL.md. Les scripts, références, modèles et dépendances éventuels ne sont pas inclus. Récupérez les fichiers nécessaires depuis la source en conservant leur arborescence avant de poursuivre.

1. Télécharger le fichier

Télécharger SKILL.md

Depuis la racine d’un projet de test, enregistrez le fichier sous .skill-downloads/explore-adaptive-task-clarification-mm78nmq9/SKILL.md, ou utilisez la commande suivante. Ce dossier sert à examiner la skill avant son installation.

Commande pour macOS/Linux ou WSL : un shell POSIX et curl sont nécessaires. Sous Windows sans WSL, utilisez le bouton de téléchargement et créez le dossier manuellement.

mkdir -p '.skill-downloads/explore-adaptive-task-clarification-mm78nmq9' && curl --fail --show-error --location 'https://skills-guides.com/api/skills/explore-adaptive-task-clarification-mm78nmq9/download' --output '.skill-downloads/explore-adaptive-task-clarification-mm78nmq9/SKILL.md.part' && mv '.skill-downloads/explore-adaptive-task-clarification-mm78nmq9/SKILL.md.part' '.skill-downloads/explore-adaptive-task-clarification-mm78nmq9/SKILL.md'

2. Vérifier les prérequis

Lisez SKILL.md avant de l’utiliser. Si le fichier cite des scripts ou services externes, examinez-les et préparez les accès nécessaires dans votre environnement de test.

Aucune section de prérequis reconnue dans ce fichier. Cela ne signifie pas qu’il est autonome : les bibliothèques, outils et accès peuvent être cités ailleurs dans le contenu ou dans le dépôt source.

Les plateformes de la fiche sont des indications du catalogue. Les chemins ci-dessous suivent la documentation des outils ; ils ne prouvent pas que cette skill y a été exécutée. Aucune version minimale de ces outils n’est attestée pour cette fiche.

3. Charger la skill

Après vérification, copiez le dossier complet dans le projet avec l’une des commandes ci-dessous, puis ouvrez une nouvelle session de l’outil. La commande s’arrête si un dossier du même nom existe déjà : comparez les fichiers avant de le remplacer.

Claude Code
test -f '.skill-downloads/explore-adaptive-task-clarification-mm78nmq9/SKILL.md' && test -s '.skill-downloads/explore-adaptive-task-clarification-mm78nmq9/SKILL.md' && mkdir -p '.claude/skills' && test ! -e '.claude/skills/explore' && cp -R '.skill-downloads/explore-adaptive-task-clarification-mm78nmq9' '.claude/skills/explore'

OpenSkills

OpenSkills doit déjà être installé. La procédure locale install/read est contrôlée avec OpenSkills 1.5.0, qui exige Node.js ≥ 20.6.0. Aucun slug du catalogue n’est résolu automatiquement.

Installation officielle d’OpenSkills
openskills install './.skill-downloads/explore-adaptive-task-clarification-mm78nmq9'

openskills read 'explore-adaptive-task-clarification-mm78nmq9'

La lecture doit afficher le contenu du fichier installé et son dossier de base. Elle ne lance ni la skill ni ses dépendances.

Pour un agent qui lit AGENTS.md, synchronisez ensuite l’index. Cette commande modifie AGENTS.md : relisez le diff avant de l’utiliser.

openskills sync

Mode manuel ou autre outil : joignez SKILL.md à une conversation, ou ouvrez-le dans un agent capable de lire les fichiers. Ajoutez les ressources annexes nécessaires. Il n’existe pas de dossier universel reconnu par tous les outils.

4. Faire un premier essai

Utilisez une entrée courte et fictive : un endpoint d’API, un petit document ou un brief d’interface. Dans une nouvelle conversation, joignez le fichier ou donnez son chemin à l’agent, puis adaptez cette demande :

Lis .skill-downloads/explore-adaptive-task-clarification-mm78nmq9/SKILL.md et applique ses instructions à cet exemple : [décrire une entrée de test]. Indique les fichiers, dépendances ou accès qui manquent. Produis le résultat demandé par la skill sans inventer de données ni exécuter de script non examiné.

Résultat attendu : une sortie correspondant aux instructions de la skill, ou une liste précise des prérequis manquants. Une simple confirmation de lecture ne valide pas le premier usage. Si une ressource externe est indisponible, ce parcours reste à tester.

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