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Classeo/.agents/skills/bmad-workflow-builder/references/classification-reference.md
Mathias STRASSER b7dc27f2a5
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feat: Calculer automatiquement les moyennes après chaque saisie de notes
Les enseignants ont besoin de moyennes à jour immédiatement après la
publication ou modification des notes, sans attendre un batch nocturne.

Le système recalcule via Domain Events synchrones : statistiques
d'évaluation (min/max/moyenne/médiane), moyennes matières pondérées
(normalisation /20), et moyenne générale par élève. Les résultats sont
stockés dans des tables dénormalisées avec cache Redis (TTL 5 min).

Trois endpoints API exposent les données avec contrôle d'accès par rôle.
Une commande console permet le backfill des données historiques au
déploiement.
2026-04-04 02:25:00 +02:00

3.4 KiB

Workflow Classification Reference

Classify the skill type based on user requirements. This table is for internal use — DO NOT show to user.

3-Type Taxonomy

Type Description Structure When to Use
Simple Utility Input/output building block. Headless, composable, often has scripts. Single SKILL.md + scripts/ Composable building block with clear input/output, single-purpose
Simple Workflow Multi-step process contained in a single SKILL.md. Minimal or no prompt files. SKILL.md + optional references/ Multi-step process that fits in one file, no progressive disclosure needed
Complex Workflow Multi-stage with progressive disclosure, numbered prompt files at root, config integration. May support headless mode. SKILL.md (routing) + prompt stages at root + references/ Multiple stages, long-running process, progressive disclosure, routing logic

Decision Tree

1. Is it a composable building block with clear input/output?
   └─ YES → Simple Utility
   └─ NO ↓

2. Can it fit in a single SKILL.md without progressive disclosure?
   └─ YES → Simple Workflow
   └─ NO ↓

3. Does it need multiple stages, long-running process, or progressive disclosure?
   └─ YES → Complex Workflow

Classification Signals

Simple Utility Signals

  • Clear input → processing → output pattern
  • No user interaction needed during execution
  • Other skills/workflows call it
  • Deterministic or near-deterministic behavior
  • Could be a script but needs LLM judgment
  • Examples: JSON validator, schema checker, format converter

Simple Workflow Signals

  • 3-8 numbered steps
  • User interaction at specific points
  • Uses standard tools (gh, git, npm, etc.)
  • Produces a single output artifact
  • No need to track state across compactions
  • Examples: PR creator, deployment checklist, code review

Complex Workflow Signals

  • Multiple distinct phases/stages
  • Long-running (likely to hit context compaction)
  • Progressive disclosure needed (too much for one file)
  • Routing logic in SKILL.md dispatches to stage prompts
  • Produces multiple artifacts across stages
  • May support headless/autonomous mode
  • Examples: agent builder, module builder, project scaffolder

Module Context (Orthogonal)

Module context is asked for ALL types:

  • Module-based: Part of a BMad module. Uses bmad-{modulecode}-{skillname} naming. Config loading includes a fallback pattern — if config is missing, the skill informs the user that the module setup skill is available and continues with sensible defaults.
  • Standalone: Independent skill. Uses bmad-{skillname} naming. Config loading is best-effort — load if available, use defaults if not, no mention of a setup skill.