GLM-5 Agent Teams with Thinking Mode

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Spawns GLM-5 powered AI teammates with native thinking mode. Supports different agent roles such as coder, reviewer, tester, planner, and researcher for collaborative task execution. Useful when you need structured team-based AI assistance with explicit reasoning notes, for code development, review, testing, architecture planning, or documentation.

Sby Skills Guide Bot
DevelopmentIntermediate
6/2/2026
Claude Code
#glm5#agent-teams#thinking-mode#task-delegation

Recommended for

Automated summary

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.
When to use it

Use this skill when you need specialized subtasks (coding, review, tests) to run in parallel or sequentially with deep reasoning.

When not to use it

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

Safe
Quality score90/100

The 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

How this analysis is made

Examples

Spawning a coder agent
/glm5 coder "Implement a REST API endpoint for user login in Node.js"
Spawning a reviewer agent
/glm5 reviewer "Review the security of the authentication module"
Spawning a tester agent
/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:

  1. Parse Arguments: Extract role and task from $ARGUMENTS
  2. Generate Task ID: task-{timestamp}
  3. Call GLM-5 API: With thinking mode enabled
  4. Capture Output: Reasoning + result
  5. 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

From the file to a first result

The download contains exactly the content displayed on this page. This copy may differ from the latest version in the source repository.

View the source and supporting files

This download contains SKILL.md only. Any scripts, references, templates and dependencies are not included. Get the required files from the source, preserving their directory structure, before continuing.

1. Download the file

Download SKILL.md

From the root of a test project, save the file as .skill-downloads/glm-5-agent-teams-with-thinking-mode-mm5t89qe/SKILL.md, or use the command below. This folder is for inspecting the skill before installation.

Command for macOS/Linux or WSL: requires a POSIX shell and curl. On Windows without WSL, use the download button and create the folder manually.

mkdir -p '.skill-downloads/glm-5-agent-teams-with-thinking-mode-mm5t89qe' && curl --fail --show-error --location 'https://skills-guides.com/api/skills/glm-5-agent-teams-with-thinking-mode-mm5t89qe/download' --output '.skill-downloads/glm-5-agent-teams-with-thinking-mode-mm5t89qe/SKILL.md.part' && mv '.skill-downloads/glm-5-agent-teams-with-thinking-mode-mm5t89qe/SKILL.md.part' '.skill-downloads/glm-5-agent-teams-with-thinking-mode-mm5t89qe/SKILL.md'

2. Check prerequisites

Read SKILL.md before using it. If it references scripts or external services, inspect them and prepare the required access in your test environment.

No recognized prerequisites section in this file. This does not mean it is self-contained: libraries, tools and access requirements may be mentioned elsewhere in the content or source repository.

The platforms on this page are catalog indications. The paths below follow tool documentation; they do not prove this skill has been run in those tools. No minimum tool version is confirmed for this listing.

3. Load the skill

After inspection, copy the complete folder into your project using one of the commands below, then open a new tool session. The command stops if a folder with the same name already exists: compare the files before replacing it.

Claude Code
test -f '.skill-downloads/glm-5-agent-teams-with-thinking-mode-mm5t89qe/SKILL.md' && test -s '.skill-downloads/glm-5-agent-teams-with-thinking-mode-mm5t89qe/SKILL.md' && mkdir -p '.claude/skills' && test ! -e '.claude/skills/glm5' && cp -R '.skill-downloads/glm-5-agent-teams-with-thinking-mode-mm5t89qe' '.claude/skills/glm5'

OpenSkills

OpenSkills must already be installed. The local install/read procedure is checked with OpenSkills 1.5.0, which requires Node.js ≥ 20.6.0. Catalog slugs are not resolved automatically.

Official OpenSkills installation
openskills install './.skill-downloads/glm-5-agent-teams-with-thinking-mode-mm5t89qe'

openskills read 'glm-5-agent-teams-with-thinking-mode-mm5t89qe'

Reading should display the installed file content and its base directory. It does not run the skill or install its dependencies.

For an agent that reads AGENTS.md, then sync the index. This command changes AGENTS.md: review the diff before using it.

openskills sync

Manual method or another tool: attach SKILL.md to a conversation, or open it in an agent that can read files. Include any required supporting resources. No universal folder is recognized by every tool.

4. Try a first task

Use a short, synthetic input: an API endpoint, a small document or an interface brief. In a new conversation, attach the file or give the agent its path, then adapt this request:

Read .skill-downloads/glm-5-agent-teams-with-thinking-mode-mm5t89qe/SKILL.md and apply its instructions to this example: [describe a test input]. Identify any missing files, dependencies or access. Produce the result requested by the skill without inventing data or running unreviewed scripts.

Expected result: output matching the skill instructions, or a precise list of missing prerequisites. A read confirmation alone does not validate a first use. If an external resource is unavailable, that path remains untested.

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