بنقرة واحدة
glm5-parallel
Model-agnostic parallel execution with Agent Teams coordination
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
القائمة
Model-agnostic parallel execution with Agent Teams coordination
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Full orchestration workflow with swarm mode: evaluate -> clarify -> classify -> persist -> plan mode -> spawn teammates -> execute -> validate -> retrospective. Use when: (1) implementing features, (2) complex refactoring, (3) multi-file changes, (4) tasks requiring coordination. Triggers: /orchestrator, /orch, 'orchestrate', 'full workflow', 'implement feature'.
Comprehensive research skill using Zai MCP web search and native Claude Code tools
Smart Forking - Find and fork from relevant historical sessions using parallel memory search across vault, handoffs, and ledgers
Apply adversarial opposite-analysis to plans, specs, architecture, code changes, and claims. Use when the user asks for adversarial review, opposing analysis, contrarian review, red-team reasoning, or Z.ai and MiniMax cross-checks through the Ralph MCP router.
Test case mutation and variation generator for adversarial testing
Patterns for using Context7 MCP for library documentation (v2.25)
| name | glm5-parallel |
| description | Model-agnostic parallel execution with Agent Teams coordination |
| allowed-tools | ["Bash","Read","Write","Task","TaskCreate","TaskList","TaskGet","TaskUpdate","TeamCreate","SendMessage"] |
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.
/glm5-parallel <task> [--roles coder,reviewer,tester]
/glm5-parallel "Implement OAuth2 authentication" --roles coder,reviewer,tester
This spawns 3 teammates:
# 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
If no --roles specified:
coder - Implementationreviewer - Code reviewtester - Test generationCreates parallel status files:
.ralph/teammates/{task_id}-coder/status.json.ralph/teammates/{task_id}-reviewer/status.json.ralph/teammates/{task_id}-tester/status.jsonAggregated in .ralph/team-status.json
Optimal Scenario: Pure Agent Teams (Native)
This skill uses Pure Agent Teams with native coordination - no custom subagent specialization needed.
TeamCreate
→ Task(prompt, subagent_type) for each parallel workstream
→ Native agents execute in parallel
→ Aggregate results
→ Complete
// 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
);
});
Esta skill genera reportes automáticos completos para trazabilidad:
Cuando esta skill completa, se genera automáticamente:
docs/actions/glm5-parallel/{timestamp}.md.claude/metadata/actions/glm5-parallel/{timestamp}.jsonCada reporte incluye:
# 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
source .claude/lib/action-report-lib.sh
start_action_report "glm5-parallel" "Task description"
# ... ejecución ...
complete_action_report "success" "Summary" "Recommendations"