alfredolopez80/glm5-parallel

GLM-5 Parallel Skill

Model-agnostic parallel execution with Agent Teams coordination for comprehensive task execution.

Note: Despite the name, this skill is model-agnostic as of v2.88.0. It works with any model configured in Agent Teams.

Usage

/glm5-parallel <task> [--roles coder,reviewer,tester]

Example

/glm5-parallel "Implement OAuth2 authentication" --roles coder,reviewer,tester

This spawns 3 teammates:

1. coder - Implements OAuth2
2. reviewer - Reviews the implementation
3. tester - Generates tests

Execution Pattern

# Generate task ID
TASK_ID="parallel-$(date +%s)"

# Parse roles
ROLES="coder,reviewer,tester"

# Spawn in parallel
for ROLE in $(echo $ROLES | tr ',' ' '); do
    .claude/scripts/glm5-teammate.sh "$ROLE" "<task>" "${TASK_ID}-${ROLE}" &
done

# Wait for all
wait

# Aggregate results
for ROLE in $(echo $ROLES | tr ',' ' '); do
    echo "=== $ROLE ==="
    cat .ralph/teammates/${TASK_ID}-${ROLE}/status.json | jq '.output_summary'
done

Default Roles

If no --roles specified:

• coder - Implementation
• reviewer - Code review
• tester - Test generation

Output

Creates parallel status files:

• .ralph/teammates/{task_id}-coder/status.json
• .ralph/teammates/{task_id}-reviewer/status.json
• .ralph/teammates/{task_id}-tester/status.json

Aggregated in .ralph/team-status.json

Agent Teams Integration (v2.88)

Optimal Scenario: Pure Agent Teams (Native)

This skill uses Pure Agent Teams with native coordination - no custom subagent specialization needed.

Why Scenario A for This Skill

• Parallel execution is a core Agent Teams capability
• Standard Task tool supports native parallel execution
• No specialized subagent configuration required
• Native agent types provide all needed tools (Read, Edit, Write, Bash)
• Lower complexity, faster setup

Configuration

1. TeamCreate: Recommended for parallel execution coordination
2. Task: Use native agent types with parallel execution
3. Hooks: TeammateIdle + TaskCompleted for quality gates
4. Simple: Leverage built-in Agent Teams parallelism

Workflow Pattern

TeamCreate
  → Task(prompt, subagent_type) for each parallel workstream
  → Native agents execute in parallel
  → Aggregate results
  → Complete

Parallel Execution Pattern

// Create team for coordination
TeamCreate(team_name="parallel-{timestamp}", description="Parallel execution for: {task}")

// Spawn native agents in parallel
const workstreams = [
  { task: "Implement feature X", files: ["src/a.ts"] },
  { task: "Implement feature Y", files: ["src/b.ts"] },
  { task: "Write tests", files: ["tests/*.test.ts"] }
];

workstreams.forEach(work => {
  Task(
    subagent_type="coder",  // Native agent type
    team_name="parallel-{timestamp}",
    input=work
  );
});

When This Is Sufficient

• Parallel code execution across files
• Standard implementation tasks
• No specialized tool restrictions needed
• Leverage native Agent Teams parallelism

Action Reporting (v2.93.0)

Esta skill genera reportes automáticos completos para trazabilidad:

Reporte Automático

Cuando esta skill completa, se genera automáticamente:

1. En la conversación de Claude: Resultados visibles
2. En el repositorio: docs/actions/glm5-parallel/{timestamp}.md
3. Metadatos JSON: .claude/metadata/actions/glm5-parallel/{timestamp}.json

Contenido del Reporte

Cada reporte incluye:

• ✅ Summary: Descripción de la tarea ejecutada
• ✅ Execution Details: Duración, iteraciones, archivos modificados
• ✅ Results: Errores encontrados, recomendaciones
• ✅ Next Steps: Próximas acciones sugeridas

Ver Reportes Anteriores

# Listar todos los reportes de esta skill
ls -lt docs/actions/glm5-parallel/

# Ver el reporte más reciente
cat $(ls -t docs/actions/glm5-parallel/*.md | head -1)

# Buscar reportes fallidos
grep -l "Status: FAILED" docs/actions/glm5-parallel/*.md

Generación Manual (Opcional)

source .claude/lib/action-report-lib.sh
start_action_report "glm5-parallel" "Task description"
# ... ejecución ...
complete_action_report "success" "Summary" "Recommendations"

Referencias del Sistema

• Action Reports System - Documentación completa
• action-report-lib.sh - Librería helper
• action-report-generator.sh - Generador