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OC Team Builder

Discover, compose, and activate specialist teams from 3 rosters — OpenClaw Core (CEO/Artist), Agency Division (55+ specialists), and Research Lab (autonomous...
从三大名册中发现、组建并激活专家团队:OpenClaw核心(CEO/艺术家)、代理部门(55+专家)及研究实验室(自主...)
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概述

Team Builder

Compose the right team for any job by drawing from three rosters of specialists. The Research Lab uses Karpathy's autoresearch methodology for autonomous experiment loops.

Quick Start — Scripts

1. Browse available agents

bash {baseDir}/scripts/roster.sh                     # all 3 rosters
bash {baseDir}/scripts/roster.sh -r agency            # agency only
bash {baseDir}/scripts/roster.sh -d engineering        # one division
bash {baseDir}/scripts/roster.sh -s "frontend"         # search
bash {baseDir}/scripts/roster.sh -v                    # verbose descriptions
bash {baseDir}/scripts/roster.sh -j                    # JSON output

2. Generate a team proposal

bash {baseDir}/scripts/plan.sh "Build a portfolio dashboard with pie charts"
bash {baseDir}/scripts/plan.sh --mode sprint "Optimize image generation prompts using autoresearch"
bash {baseDir}/scripts/plan.sh -o proposal.md "Analyze astronomy photos for star classification"

The planner auto-detects task domains (engineering, creative, research, marketing, operations, spatial) and proposes the right-sized team (micro/sprint/full).

3. Activate a specialist

bash {baseDir}/scripts/activate.sh --division engineering --agent frontend-developer
bash {baseDir}/scripts/activate.sh --division testing --agent evidence-collector
bash {baseDir}/scripts/activate.sh --division testing --list
bash {baseDir}/scripts/activate.sh --file reference/agency-agents-main/design/design-ui-designer.md
bash {baseDir}/scripts/activate.sh --division engineering --agent ai-engineer --personality-only

Outputs the agent's full personality definition for use in delegation prompts.

4. Run QA review

bash {baseDir}/scripts/review.sh --task "Portfolio dashboard"
bash {baseDir}/scripts/review.sh --task "Image pipeline" --criteria criteria.txt --pass evidence
bash {baseDir}/scripts/review.sh --task "LLM training optimization" --pass reality
bash {baseDir}/scripts/review.sh --task "Full product" --pass both -o review.md

Generates review checklists (Evidence Collector Pass 1 + Reality Checker Pass 2) and logs to ~/.openclaw/team-reviews/.

5. Run a Research Lab experiment

bash {baseDir}/scripts/experiment.sh --setup /path/to/project     # initialize experiment
bash {baseDir}/scripts/experiment.sh --run /path/to/project       # run one experiment cycle
bash {baseDir}/scripts/experiment.sh --status /path/to/project    # show ledger

See references/TEAM-RESEARCH.md for the full autoresearch methodology and working examples.

The Three Rosters

1. Core Team (references/TEAM-CORE.md)

The permanent OpenClaw agents. Always available, always running.

AgentRoleWorkspace
------------------------
CEOLeader, orchestrator, final authority.openclaw/workspace/
ArtistImage generation, visual analysis.openclaw/workspace-artist/

2. Agency Division (references/TEAM-AGENCY.md)

55+ specialist agents across 9 divisions. Activated on demand from reference/agency-agents-main/.

DivisionAgentsKey Specialists
-----------------------------------
Engineering7Frontend Developer, Backend Architect, AI Engineer, DevOps
Design7UI Designer, UX Architect, Image Prompt Engineer
Marketing8Growth Hacker, Content Creator, Social Media
Product3Sprint Prioritizer, Trend Researcher, Feedback Synthesizer
Project Management5Senior PM, Studio Producer, Experiment Tracker
Testing7Evidence Collector, Reality Checker, API Tester
Support6Analytics Reporter, Finance Tracker, Legal Compliance
Spatial Computing6XR Architect, visionOS Engineer
Specialized7Agents Orchestrator, Data Analytics, LSP Engineer

3. Research Lab (references/TEAM-RESEARCH.md)

Autonomous experiment loops adapted from Karpathy's autoresearch. Set up a measurable experiment, run it in a fixed time budget, keep improvements, discard failures, loop forever.

Source code reference: reference/autoresearch-master/ (program.md, train.py, prepare.py)

Cross-Team Workflow Examples

Image Analysis + Research Loop

Artist (image acquisition) + Research Lab (analysis loop) + AI Engineer (classification)

Visual Content Pipeline

Artist (generation) + Image Prompt Engineer (prompts) + Visual Storyteller (narrative)

Dashboard / UI Feature Build

Senior PM (scope) + Frontend Developer (build) + Evidence Collector (QA)

Autonomous LLM Training (autoresearch)

Research Lab (experiment loop on train.py) + AI Engineer (architecture suggestions)
→ 12 experiments/hour, ~100 overnight, fully autonomous

Full Product Launch

CEO (orchestrate) + Engineering (build) + Design (UX) + Marketing (launch) + Testing (validate)

Handoff Protocol

When passing work between specialists:

## Handoff
| Field | Value |
|-------|-------|
| From | [Agent Name] |
| To | [Agent Name] |
| Task | [What needs to be done] |
| Priority | [Critical / High / Medium / Low] |

## Context
- Current state: [What's been done]
- Relevant files: [File paths]

## Deliverable
- What is needed: [Specific output]
- Acceptance criteria:
  - [ ] [Criterion 1]
  - [ ] [Criterion 2]

## Quality
- Evidence required: [What proof looks like]
- Reviewer: [Who validates]

For complete handoff templates: reference/agency-agents-main/strategy/coordination/handoff-templates.md

NEXUS Pipeline Modes

ModeScaleAgentsTimeline
-------------------------------
MicroSingle task/fix1-3Hours-days
SprintFeature or MVP5-101-2 weeks
FullComplete product10+Weeks-months

Reference Files

FileContents
----------------
SKILL.mdThis file — overview, scripts, quick start
scripts/roster.shBrowse and search all agent rosters
scripts/plan.shGenerate team proposals from task descriptions
scripts/activate.shLoad agent personality definitions
scripts/review.shGenerate QA review checklists
scripts/experiment.shRun autoresearch experiment loops
references/TEAM-CORE.mdCEO/Artist — roles and interactions
references/TEAM-AGENCY.mdAll 55+ Agency specialists indexed by division
references/TEAM-RESEARCH.mdAutonomous experiment methodology (autoresearch)
references/PLANNER.mdJob analysis → team proposal workflow (detailed)
references/REVIEWER.mdQA validation workflow with quality gates
references/PROOF-OF-WORK.mdExample proposals showing cross-roster teams

版本历史

共 1 个版本

  • v2.0.0 当前
    2026-03-20 05:43 安全 安全

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