gonzalezpazmonica/dag-scheduling
.claude/skills/dag-scheduling/SKILL.md
Orquestar agentes SDD en paralelo usando gráficos de dependencias
$ install --global
skillsauthnpx skillsauth add gonzalezpazmonica/pm-workspace dag-schedulingInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Apr 19, 2026, 2:36 AM4.4s1 file scanned
SKILL.md
- name:
- dag-scheduling
- description:
- Orquestar agentes SDD en paralelo usando gráficos de dependencias
- summary:
- |
- Input:
- spec con tasks. Output: plan DAG + ejecucion.
- maturity:
- stable
- context:
- fork
- context_cost:
- high
- agent:
- developer
- category:
- sdd-framework
- tags:
- ["dag", "parallel", "orchestration", "pipeline"]
- priority:
- high
Skill: DAG Scheduling — Orquestación de agentes en paralelo
Ejecuta el pipeline SDD con ejecución paralela inteligente mediante gráficos acíclicos dirigidos (DAG). Detecta fases independientes, calcula el camino crítico y ejecuta grupos de agentes en paralelo respetando dependencias.
Problema
El pipeline SDD actual ejecuta fases de forma secuencial. Muchas fases pueden ejecutarse en paralelo:
- spec-slice y security-review son independientes
- unit-tests, integration-tests, docs-update pueden correr juntos
- El tiempo total se reduce significativamente
DAG de ejemplo
spec-generate
↓
├─→ spec-slice ──────────────┐
└─→ security-review ─────────┤
↓
dev-session
↓
┌──────────────────────┼──────────────────────┐
↓ ↓ ↓
unit-tests integration-tests docs-update
└──────────────────────┼──────────────────────┘
↓
code-review
↓
comprehension-report
↓
merge
Fases (6 pasos)
Fase 1 — Parsear DAG
Leer especificación de dependencias:
- Extraer lista de fases
- Identificar dependencias
- Construir grafo dirigido
- Validar sin ciclos
Output: grafo en memoria, topología validada
Fase 2 — Camino crítico
Calcular:
- Camino más largo desde inicio a fin
- Holgura (slack) de cada fase
- Fases críticas (slack = 0)
- Fases paralelizables
Output: tabla de holgura, estimación
Fase 3 — Agendar
Agrupar fases en cohortes paralelas:
- Identificar grupos independientes
- Respetar SDD_MAX_PARALLEL_AGENTS (default 5)
- Garantizar sin conflictos de escritura
Output: plan de agendamiento
Fase 4 — Ejecutar (wave-executor)
Delegar ejecucion al motor generico scripts/wave-executor.sh:
- Recibe task-graph JSON con IDs, comandos, dependencias y timeouts
- Agrupa tareas en waves por nivel topologico (max SDD_MAX_PARALLEL_AGENTS)
- Ejecuta cada wave en paralelo con timeout por tarea
- Verifica expected_files tras cada wave; fallo detiene pipeline
Output: execution-report JSON (status, waves, timing, speedup)
Fase 5 — Sincronizar
Tras completar cohorte:
- Validar ficheros y tests
- Mergear outputs
- Proceder a siguiente cohorte
Fase 6 — Reportar
Informe de ejecución con timeline, mejora porcentual, cuellos de botella
Configuración
SDD_MAX_PARALLEL_AGENTS: 5
SDD_DEFAULT_TIMEOUT_MIN: 30
SDD_WORKER_ISOLATION: worktree
Referencia
- Skill: .claude/skills/spec-driven-development/SKILL.md
- Regla: docs/rules/domain/parallel-execution.md
- Comandos: /dag-plan, /dag-execute
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