Agent Team Manager
CLI to manage CountBot multi-agent teams: CRUD, members, per-team models
Test report
- Verdict
- Works with setup
- Score
- Tested
- Jul 17, 2026
- Environment
- Claude Code 2.x (agent harness)
- Upstream re-checked
- Aug 10, 2026 · bf50fc4
Booted a real CountBot backend (uvicorn plus SQLite) and ran the skill end to end: template create, member add, task rewrite, team model config (zhipu/glm-5), and a pipeline-to-graph mode switch all succeeded first try with zero syntax errors, exactly as the strict-syntax notes promise. The docs are unusually honest — the documented positional-argument pitfalls and the 'prompt lives in task, not system_prompt' guidance both matched real behavior. The baseline is harder than it looks: the backend exposes no /openapi.json, and member updates require a whole-array read-modify-write that the script handles for you. The catch: nothing works until you install and launch the full CountBot application on localhost:8000 — this is a companion skill to that product, not a standalone tool.
Scored on four weighted criteria — install, triggering, output vs. baseline, docs. How scoring works
- Installs cleanly 5/5
- Triggers reliably 5/5
- Output vs. baseline 7/10
- Docs & honesty 5/5
What Agent Team Manager does
Command-line management of multi-agent teams for the CountBot framework: create teams from templates, run pipeline/graph/council modes, add or rewrite member roles and prompts, and set team-specific model configs via the local REST API. Triggers when a user asks to create or modify a CountBot agent team, adjust member roles or dependencies, or configure a team's model. Requires a running CountBot backend on localhost:8000.
How to install Agent Team Manager
git clone --depth 1 https://github.com/countbot-ai/CountBot
mkdir -p ~/.claude/skills
cp -r CountBot/workspace/skills/agent-team-manager ~/.claude/skills/agent-team-manager
Skills live in ~/.claude/skills/ (global) or .claude/skills/
(per-project). Restart Claude Code after installing.
Commands — how to trigger Agent Team Manager
-
/agent-team-managerCLI to manage CountBot multi-agent teams: CRUD, members, per-team models
It also activates on plain-language prompts like these:
-
Create a document-analysis agent team from the built-in template -
Add a reviewer member to my agent team with a custom prompt -
Switch my agent team from pipeline mode over to graph mode
Frequently asked questions
- Is the Agent Team Manager skill free?
- Yes. The skill itself is free from countbot-ai/CountBot. SkillProof publishes the install command and an independent test verdict at no cost.
- Does Agent Team Manager work with Claude Code?
- We tested it with Claude Code 2.x (agent harness) on Jul 17, 2026. Verdict: Works with setup. Booted a real CountBot backend (uvicorn plus SQLite) and ran the skill end to end: template create, member add, task rewrite, team model config (zhipu/glm-5), and a pipeline-to-graph mode switch all succeeded first try with zero syntax errors, exactly as the strict-syntax notes promise. The docs are unusually honest — the documented positional-argument pitfalls and the 'prompt lives in task, not system_prompt' guidance both matched real behavior. The baseline is harder than it looks: the backend exposes no /openapi.json, and member updates require a whole-array read-modify-write that the script handles for you. The catch: nothing works until you install and launch the full CountBot application on localhost:8000 — this is a companion skill to that product, not a standalone tool.
- What is the Agent Team Manager SkillProof Score?
- 8.8/10 — installs cleanly 5/5, triggers reliably 5/5, output vs. baseline 7/10, docs & honesty 5/5.
- How do I install Agent Team Manager?
- Copy the install command from this page, run it in your terminal, and restart Claude Code. Skills live in ~/.claude/skills/ (global) or .claude/skills/ inside a project.
- Can I use Agent Team Manager with Cursor, Copilot, Gemini CLI, Codex or other AI tools?
- The SKILL.md format is native to Claude (Claude Code, Desktop, claude.ai). The instructions inside adapt to other assistants: Cursor rules, GitHub Copilot instructions, Windsurf rules, Custom GPTs, AGENTS.md for OpenAI Codex, and GEMINI.md for Google Gemini CLI — our conversion guides cover each, and the free converter on the tools page does the wrapping for you.