Our review
This skill delegates tasks to specialized GLM-5 agents with thinking mode enabled, enabling parallel work and code review.
Strengths
- Delegation to agents with predefined roles (coder, reviewer, tester) for efficient specialization.
- Built-in thinking mode that enhances the quality of agent responses.
- Integration with existing commands (orchestrator, parallel, loop) for complex workflows.
Limitations
- Requires access to the GLM-5 API, which may be costly or limited in availability.
- Generates log and status files in the .ralph directory, adding noise to the project.
- Agents are not persistent; each invocation creates a new context.
Use this skill when you need specialized subtasks (coding, review, tests) to run in parallel or sequentially with deep reasoning.
Avoid using it for simple, quick tasks where a single agent without thinking is sufficient, or when the GLM-5 API is unavailable.
Security analysis
SafeThe skill calls a local script with arguments, creates status files, and uses only Bash, Read, and Write tools. No destructive commands, network calls, or exfiltration are present.
No concerns found
Examples
/glm5 coder "Implement a REST API endpoint for user login in Node.js"/glm5 reviewer "Review the security of the authentication module"/glm5 tester "Generate unit tests for the UserService class"VERSION: 2.87.0
name: glm5 description: GLM-5 Agent Teams skill for spawning teammates with thinking mode allowed-tools:
- Bash
- Read
- Write
GLM-5 Agent Teams Skill
Spawn GLM-5 powered teammates with native thinking mode.
Quick Usage
# Spawn single teammate
/glm5 coder "Implement auth"
# Spawn for review
/glm5 reviewer "Review this code"
# Spawn for testing
/glm5 tester "Generate tests"
Integration with Other Commands
This skill integrates with:
/orchestrator- GLM-5 as teammate option/parallel- GLM-5 for parallel review/loop- GLM-5 for iterative tasks
Agent Types
| Type | Role | Best For |
|------|------|----------|
| coder | Implementation | Features, refactoring, bugs |
| reviewer | Code Review | Security, quality, patterns |
| tester | Test Generation | Unit tests, coverage |
| planner | Architecture | Design, planning |
| researcher | Documentation | Docs, exploration |
Execution
When this skill is invoked:
- Parse Arguments: Extract role and task from
$ARGUMENTS - Generate Task ID:
task-{timestamp} - Call GLM-5 API: With thinking mode enabled
- Capture Output: Reasoning + result
- Fire Hooks: SubagentStop (native Claude Code hook)
Bash Commands
Spawn Teammate
.claude/scripts/glm5-teammate.sh <role> "<task>" "<task_id>"
Check Status
cat .ralph/team-status.json
View Logs
tail -f .ralph/logs/teammates.log
Output Files
| File | Content |
|------|---------|
| .ralph/teammates/{id}/status.json | Task status & metadata |
| .ralph/reasoning/{id}.txt | GLM-5 reasoning |
| .ralph/logs/teammates.log | Activity log |
Example Session
User: /glm5 coder "Implement factorial in TypeScript"
[GLM-5 thinking...]
Reasoning: The user wants a TypeScript factorial function...
Output: function factorial(n: number): number { ... }
✅ Task completed
📁 Status: .ralph/teammates/task-123/status.json
🧠 Reasoning: .ralph/reasoning/task-123.txt
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