lattice
Initialize and manage Lattice organizations — a file-based operating system for AI agent teams that enables stable, long-running iterative development through an 8-phase pipeline. Core strengths: (1) File-driven state keeps agents on track across sessions — no context loss, no drift, tasks complete reliably over hours or days. (2) Three-tier failure handling (model escalation → peer consult → auto-triage) automatically unblocks stuck agents without human intervention. (3) Per-phase model configuration — use strong models for thinking-heavy phases (planning, review), cost-efficient models for token-heavy phases (implementation, testing), optimizing token cost. (4) Multi-project parallel execution with cron scheduling — run several projects simultaneously, each on its own cadence. Triggers: lattice, org framework, pipeline setup, agent team, multi-agent project, 8-phase pipeline, new org, new project, department setup, pipeline orchestrator, long-running tasks, model escalation, peer consult, auto-triage, token optimization.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/cnf6682/latticeLattice
Lattice is a file-based operating system for AI agent teams. It replaces volatile chat windows with persistent files, enabling agents to work stably through long, iterative development cycles via an 8-phase execution pipeline.
Why Lattice?
- Stable long-running execution — File-driven state machine ensures agents stay on track across sessions. No context window overflow, no drift. Tasks complete reliably over hours or days through structured iteration.
- Three-tier failure handling — When an agent gets stuck: (1) Model Escalation retries with stronger models, (2) Peer Consult gathers parallel opinions from multiple models, (3) Auto-Triage makes a judgment call (relax constraints / defer / block for human). Most blockers resolve automatically.
- Per-phase model configuration — Thinking-heavy phases (planning, review, architecture) need strong reasoning models; token-heavy phases (implementation, testing) can use cost-efficient coding models. This dramatically reduces overall token cost without sacrificing quality where it matters.
Example model assignment (from a production setup):
| Phase | Model tier | Example |
|---|---|---|
| Constitute (architecture) | Strong reasoning | Claude Opus |
| Research | Strong reasoning | Gemini Pro |
| Specify (design) | Strong reasoning | Claude Opus |
| Plan + Tasks | Strong reasoning | Claude Opus |
| Implement | Cost-efficient coding | GPT Codex |
| Test | Cost-efficient coding | GPT Codex |
| Review | Strong reasoning | Claude Opus |
| Gap Analysis | Strong reasoning | Gemini Pro |
The key insight: implementation and testing consume the most tokens (writing/running code), but don't require the most expensive models. Planning and review consume fewer tokens but need deeper reasoning. Match model strength to cognitive demand, not token volume.
- Multi-project parallel execution — Run multiple projects simultaneously, each with its own cron-scheduled orchestrator. Combined with OpenClaw's cron system, projects advance autonomously on independent cadences.
Templates are bundled at templates/ORG/ relative to this skill directory.
Quick Reference
- Full design doc:
templates/ORG/PROJECTS/pipeline-framework/DESIGN.md - Pipeline guide (all agents):
templates/ORG/PIPELINE_GUIDE.md - Sub-agent guide:
templates/ORG/PROJECTS/pipeline-framework/templates/PIPELINE_GUIDE_FOR_SUBAGENTS.md - Orchestrator prompt template:
templates/ORG/PROJECTS/pipeline-framework/templates/ORCHESTRATOR_PROMPT.template.md - Phase prompt templates:
templates/ORG/PROJECTS/pipeline-framework/templates/PHASE_PROMPTS/ - State machine template:
templates/ORG/PROJECTS/pipeline-framework/templates/PIPELINE_STATE.template.json
Task: Initialize a New Organization (lattice init)
1. Gather Information
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-cnf6682-lattice": {
"enabled": true,
"auto_update": true
}
}
}