jpeetz/agent-skills

hermes-bot-team-design

Use this skill when an agent needs to design a team of specialist Hermes bots from a project specification.

소스 보기

사용 방법

  1. 설치 명령을 복사하고 자신의 에이전트 환경에 설치하기 전에 소스 패키지를 확인하세요.
  2. 필요한 도구, 인증 정보, 지원 환경은 원본 문서에서 확인하세요.
  3. 입력과 원하는 산출물을 설명하고 출처와 결과를 대조하세요.
npx skills add https://github.com/jpeetz/agent-skills --skill hermes-bot-team-design

시작 전 확인

  • 설치에는 모델 구독, API 한도, 파일 접근 권한이 포함되지 않습니다.
  • 별점 수와 설치 수는 활동 지표이며 독립적인 품질·보안 검증이 아닙니다.
원본 Skill 문서

원본 저장소의 제목, 예시, 코드, 표, 링크, 이미지를 유지해 표시합니다.

Hermes Bot Team Design

Design a team of specialized Hermes bots from a project specification. Each bot gets a SOUL.md with identity, behavior rules, handoff protocols, shared Memory section, and group chat integration. MCP servers (MeMex Zero RAG, HermesVault) are wired by default.

When to use

  • A new project needs a team of specialist bots
  • You are expanding an existing fleet
  • You are migrating an OpenClaw workflow to Hermes Bot Mode

The team design workflow

1. Read the project spec

Understand the full pipeline before deciding roles. Identify: pipeline phases, which need deep reasoning (expensive model) vs high-volume/mechanical (cheap model), outputs, and handoffs.

2. Decide team size and roles

Map each phase to a bot role:

  • Discovery / Research — high-volume, cheap model (DeepSeek V4 Flash)
  • Improvement / Creation — deep reasoning, expensive model (DeepSeek V4 Pro)
  • Validation / Publishing — mechanical, cheap model (DeepSeek V4 Flash)
  • Strategy / Direction — deep reasoning, expensive model (DeepSeek V4 Pro)
  • Content / Copy — creative, expensive model (DeepSeek V4 Pro)
  • UX / Design — creative, expensive model (DeepSeek V4 Pro)
  • Frontend / Backend — implementation, cheap model (DeepSeek V4 Flash)
  • Commerce / Marketplace — mechanical, cheap model (DeepSeek V4 Flash)

3. Create a group chat directory

bash
mkdir -p ~/workspace/MeMex-Zero-RAG/wiki/agentforge/group-chat/<project-name>/

Write a README.md with: protocol (file-based messaging), team roster (bot name, role, phase, model), pipeline flow, and communication rules.

4. For each bot, create the profile

~/.hermes/profiles/<name>/
├── SOUL.md      # Identity, Memory, behavior, handoffs
├── config.yaml  # model, provider, inherit_mcp_toolsets: true

SOUL.md sections: Frontmatter (name, description, role, teammates) → Identity → Memory (shared across all profiles — MeMex + HermesVault) → Group Chat → Browser verification → Behavior → Handoffs → Agent Inbox Protocol.

config.yaml:

yaml
model:
  default: <provider>/<model>
  provider: <provider>
platforms:
  telegram:
    enabled: false  # Team bots don't need Telegram

5. Wire MCP servers (mandatory)

Set inherit_mcp_toolsets: true to inherit MeMex Zero RAG (wikisearch, wikiread, wikiquery, wikiingest, wikilint) and HermesVault (readfile, searchfiles, listdirectory, readfileheader) from global config.

6. Write roster + drop initial message

Add the roster to the group chat README. Write a message from the director introducing the team, pipeline, and first task.

7. Verify

  • ls ~/.hermes/profiles/<name>/ — SOUL.md + config.yaml exist
  • hermes gateway list — gateway loads the new profile
  • Group chat has README.md + first message

Pitfalls

  • Do NOT create a bot without a SOUL.md
  • Do NOT skip the Memory section (shared brain between all bots)
  • Do NOT use expensive models for mechanical work — Scout (discovery) and Overseer (publishing) are cheap
  • Do NOT wire Telegram to team bots — they communicate via the group chat
  • Do NOT suggest UI buttons that don't exist — if the user says "there's no such button," find an alternative
  • Verify catalog files after rebase — conflict resolution can silently drop sibling rows

References

  • references/skill-foundry-example.md — full team design example (11 bots, Skill Foundry pipeline)
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