OC Team Builder

Discover, compose, and activate specialist teams from 3 rosters — OpenClaw Core (CEO/Artist), Agency Division (55+ specialists), and Research Lab (autonomous experiment loops via Karpathy's autoresearch). Planner proposes optimal teams; Reviewer validates deliverables.

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

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

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

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

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

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.

Agent	Role	Workspace
CEO	Leader, orchestrator, final authority	.openclaw/workspace/
Artist	Image 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/.

Division	Agents	Key Specialists
Engineering	7	Frontend Developer, Backend Architect, AI Engineer, DevOps
Design	7	UI Designer, UX Architect, Image Prompt Engineer
Marketing	8	Growth Hacker, Content Creator, Social Media
Product	3	Sprint Prioritizer, Trend Researcher, Feedback Synthesizer
Project Management	5	Senior PM, Studio Producer, Experiment Tracker
Testing	7	Evidence Collector, Reality Checker, API Tester
Support	6	Analytics Reporter, Finance Tracker, Legal Compliance
Spatial Computing	6	XR Architect, visionOS Engineer
Specialized	7	Agents 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

text

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

Visual Content Pipeline

text

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

Dashboard / UI Feature Build

text

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

Autonomous LLM Training (autoresearch)

text

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

Full Product Launch

text

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

Handoff Protocol

When passing work between specialists:

text

## 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

Mode	Scale	Agents	Timeline
Micro	Single task/fix	1-3	Hours-days
Sprint	Feature or MVP	5-10	1-2 weeks
Full	Complete product	10+	Weeks-months

Reference Files

File	Contents
SKILL.md	This file — overview, scripts, quick start
scripts/roster.sh	Browse and search all agent rosters
scripts/plan.sh	Generate team proposals from task descriptions
scripts/activate.sh	Load agent personality definitions
scripts/review.sh	Generate QA review checklists
scripts/experiment.sh	Run autoresearch experiment loops
references/TEAM-CORE.md	CEO/Artist — roles and interactions
references/TEAM-AGENCY.md	All 55+ Agency specialists indexed by division
references/TEAM-RESEARCH.md	Autonomous experiment methodology (autoresearch)
references/PLANNER.md	Job analysis → team proposal workflow (detailed)
references/REVIEWER.md	QA validation workflow with quality gates
references/PROOF-OF-WORK.md	Example proposals showing cross-roster teams