LLM Skills
~/catalogue/tests et qualité//checklist
Tests et qualitésource GitHub

Checklists (tests unitaires d'exigences)

/checklist

**CONCEPT CRITIQUE** : Les listes de contrôle sont des **TESTS UNITAIRES POUR LA RÉDACTION DES EXIGENCES** - elles valident la qualité, la clarté et l'exhaustivité des exigences dans un domaine donné.

githubgithub
129.6k
4 juin 2026
MIT
// contenu du skill

description: Generate a custom checklist for the current feature based on user requirements.

scripts:

sh: scripts/bash/check-prerequisites.sh --json

ps: scripts/powershell/check-prerequisites.ps1 -Json


Checklist Purpose: "Unit Tests for English"

CRITICAL CONCEPT: Checklists are UNIT TESTS FOR REQUIREMENTS WRITING - they validate the quality, clarity, and completeness of requirements in a given domain.

NOT for verification/testing:

  • ❌ NOT "Verify the button clicks correctly"
  • ❌ NOT "Test error handling works"
  • ❌ NOT "Confirm the API returns 200"
  • ❌ NOT checking if code/implementation matches the spec

FOR requirements quality validation:

  • ✅ "Are visual hierarchy requirements defined for all card types?" (completeness)
  • ✅ "Is 'prominent display' quantified with specific sizing/positioning?" (clarity)
  • ✅ "Are hover state requirements consistent across all interactive elements?" (consistency)
  • ✅ "Are accessibility requirements defined for keyboard navigation?" (coverage)
  • ✅ "Does the spec define what happens when logo image fails to load?" (edge cases)

Metaphor: If your spec is code written in English, the checklist is its unit test suite. You're testing whether the requirements are well-written, complete, unambiguous, and ready for implementation - NOT whether the implementation works.

User Input

text
$ARGUMENTS

You MUST consider the user input before proceeding (if not empty).

Pre-Execution Checks

Check for extension hooks (before checklist generation):

  • Check if .specify/extensions.yml exists in the project root.
  • If it exists, read it and look for entries under the hooks.before_checklist key
  • If the YAML cannot be parsed or is invalid, skip hook checking silently and continue normally
  • Filter out hooks where enabled is explicitly false. Treat hooks without an enabled field as enabled by default.
  • For each remaining hook, do not attempt to interpret or evaluate hook condition expressions:
  • If the hook has no condition field, or it is null/empty, treat the hook as executable
  • If the hook defines a non-empty condition, skip the hook and leave condition evaluation to the HookExecutor implementation
  • For each executable hook, output the following based on its optional flag:
  • Optional hook (optional: true):
    ## Extension Hooks

    **Optional Pre-Hook**: {extension}
    Command: `/{command}`
    Description: {description}

    Prompt: {prompt}
    To execute: `/{command}`
  • Mandatory hook (optional: false):
    ## Extension Hooks

    **Automatic Pre-Hook**: {extension}
    Executing: `/{command}`
    EXECUTE_COMMAND: {command}

    Wait for the result of the hook command before proceeding to the Execution Steps.
  • If no hooks are registered or .specify/extensions.yml does not exist, skip silently

Execution Steps

  1. Setup: Run {SCRIPT} from repo root and parse JSON for FEATUREDIR and AVAILABLEDOCS list.
  • All file paths must be absolute.
  • For single quotes in args like "I'm Groot", use escape syntax: e.g 'I'\''m Groot' (or double-quote if possible: "I'm Groot").
  1. IF EXISTS: Load /memory/constitution.md for project principles and governance constraints.
  1. Clarify intent (dynamic): Derive up to THREE initial contextual clarifying questions (no pre-baked catalog). They MUST:
  • Be generated from the user's phrasing + extracted signals from spec/plan/tasks
  • Only ask about information that materially changes checklist content
  • Be skipped individually if already unambiguous in $ARGUMENTS
  • Prefer precision over breadth

Generation algorithm:

1. Extract signals: feature domain keywords (e.g., auth, latency, UX, API), risk indicators ("critical", "must", "compliance"), stakeholder hints ("QA", "review", "security team"), and explicit deliverables ("a11y", "rollback", "contracts").

2. Cluster signals into candidate focus areas (max 4) ranked by relevance.

3. Identify probable audience & timing (author, reviewer, QA, release) if not explicit.

4. Detect missing dimensions: scope breadth, depth/rigor, risk emphasis, exclusion boundaries, measurable acceptance criteria.

5. Formulate questions chosen from these archetypes:

  • Scope refinement (e.g., "Should this include integration touchpoints with X and Y or stay limited to local module correctness?")
  • Risk prioritization (e.g., "Which of these potential risk areas should receive mandatory gating checks?")
  • Depth calibration (e.g., "Is this a lightweight pre-commit sanity list or a formal release gate?")
  • Audience framing (e.g., "Will this be used by the author only or peers during PR review?")
  • Boundary exclusion (e.g., "Should we explicitly exclude performance tuning items this round?")
  • Scenario class gap (e.g., "No recovery flows detected—are rollback / partial failure paths in scope?")

Question forma

// source originale publique
github/spec-kit
/templates/commands/checklist.md
Licence : MIT
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/checklist.md" "https://raw.githubusercontent.com/github/spec-kit/main/templates/commands/checklist.md"
Ensuite dans Claude Code, tapez /checklist pour l'activer.
open_in_newVoir la source originale
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// informations
Créateurgithub
Étoiles 129.6k
LicenceMIT
Mis à jour4 juin 2026
Format.md
AccèsGratuit
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