era-architecture

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name: era-architecture description: Architect multi-release eras with shared vocabulary, architectural constraints, and design language for conceptual coherence. Use when planning major product pivots across multiple releases, defining conceptual architecture before decomposing into releases, or transitioning between product eras. Trigger phrases: 'plan this era', 'define the architecture for multiple releases', 'transition to a new era', 'create a multi-release vision', 'establish conceptual coherence across releases'.

OpenClaw Integration: This skill is invoked by the Dojo Genesis plugin via /dojo run era-architecture. The agent receives project context automatically via the before_agent_start hook. Use dojo_get_context for full state, dojo_save_artifact to persist outputs, and dojo_update_state to record phase transitions and decisions.

era-architecture

I. The Philosophy

An era is not a list of releases. It's a conceptual architecture that coordinates multiple releases under shared constraints.

When you go from "we need to rebuild the frontend" to "we need a complete multi-release era plan," you're making a qualitative shift. Instead of asking "what should v0.2.1 do?" you're asking "what vocabulary, architectural patterns, and design language will span all releases in this era?"

This shift matters because:

• Coherence: Without a shared architecture, releases drift apart. Release A uses one data model, Release B contradicts it.
• Dependency clarity: You can't plan releases independently. A shared design language in Release 1 enables faster work in Release 2.
• Decision efficiency: The era's conceptual architecture is the constitution that downstream decisions must obey. This prevents constant re-litigation of foundational choices.

The key insight: scouts explore the facets (not releases). From those explorations, you extract the era's architecture (not the other way around).

II. When to Use This Skill

Use era-architecture when:

• Planning a major product pivot that spans 3+ releases
• You need to define shared conceptual vocabulary before decomposing into releases
• Transitioning between product eras (e.g., engine-building → fresh shell → social layer)
• The scope is too large for one release but needs coherent vision across all releases
• You need cross-cutting architectural decisions (data model, design language, navigation patterns)

Do NOT use era-architecture when:

• Planning a single release → use strategic-scout + parallel-tracks
• Writing specs → use specification-writer or frontend-from-backend
• Converting specs to prompts → use spec-constellation-to-prompt-suite or zenflow-prompt-writer
• Exploring one strategic question → use strategic-scout

III. The Workflow (7 Steps)

Step 1: Name the Era and Its Predecessor

Give the era a name that captures its purpose (e.g., "The Fresh Shell", "The Engine", "The Social Layer").

Document what the previous era accomplished and what it leaves behind. Define the handoff: what assets/code/patterns carry forward, what gets archived.

This framing prevents the new era from being aimless. It grounds the work in what came before and what you're building toward.

Step 2: Scout the Facets

Run 3-5 strategic scouts, each exploring a different facet of the era. Facets are not releases—they're architectural questions:

• Navigation/information architecture
• Data model and persistence
• Design language and UX philosophy
• Backend integration strategy
• Social/collaboration strategy (if applicable)

Each scout produces insights and open questions. Gather human decisions on those open questions before proceeding to Step 3. This is where the team shapes the architecture.

Step 3: Define the Conceptual Architecture

From the scout insights and decisions, extract the era's conceptual vocabulary:

• Core metaphors: What's the guiding image? (e.g., "garden", "cognitive routes", "bonsai")
• Architectural patterns: What repeating structures apply everywhere? (e.g., "entity-as-lens", "content-edge transitions")
• Design language: Colors, typography, interaction patterns that all releases obey
• Data model: The types and relationships that span all releases

Write these as constraints: every release in the era must obey them. This is the era's constitution—it doesn't change per release.

Step 4: Decompose into Releases

Define 3-7 releases that build on each other. Each release should have:

• A clear theme/name (e.g., "The Foundation", "The Shallow End", "The Deep End")
• Scope: what's built
• Dependencies: what must exist first
• Estimated effort

The first release is the thickest (it builds foundations). Later releases are thinner because the patterns are established. Some releases can run in parallel if they don't share dependencies.

Step 5: Build the Dependency Graph

Map release-level dependencies (which releases block which). Map spec-level dependencies within releases (which specs must exist before others). Identify the critical path and parallel opportunities.

Step 6: Write the Master Plan

Use the Master Plan Template (Section IV). The master plan is the single commissioning document for the entire era. Include vision, conceptual architecture summary, release roadmap, dependency graph, constraints, and parallel track allocation.

The master plan is a living document—decisions from later scouts update it. But the core architecture should remain stable.

Step 7: Drop into Single-Release Work

For the first release, write detailed specs. Then convert specs to implementation prompts. Commission and execute the first release.

Before starting the next release, check: do the conceptual architecture constraints still hold? Do decisions from the first release affect later releases? Update the master plan if needed.

IV. Master Plan Template

# [Era Name] Master Plan
**Author:** [names]
**Status:** [Active/Complete]
**Era:** v[X].0 through v[X].N

## 1. Vision
[1-2 sentences: what this era accomplishes]

## 2. What Came Before
[Brief summary of previous era, what carries forward]

## 3. Conceptual Architecture
### Core Metaphors
### Architectural Patterns
### Design Language
### Data Model

## 4. Release Roadmap
| Version | Name | Focus | Dependencies | Est. Effort |

## 5. Dependency Graph
[ASCII or description showing release ordering]

## 6. Constraints
[Rules that all releases must obey]

## 7. Parallel Track Allocation
| Release | Tracks | Can Parallel With |

## 8. Commissioned Specifications
| Spec | Release | Status |

## 9. Next Steps
[Current focus and what follows]

V. Best Practices

• Eras need names: Names create shared vocabulary for the team. "The Fresh Shell" is better than "v0.2 refactor".
• Scout facets, not releases: Architecture emerges from cross-cutting exploration, not from asking "what should v0.2.1 do?"
• Conceptual architecture is the output: It constrains everything downstream and prevents releases from drifting apart.
• First release is heaviest: Later releases feel lighter because the patterns are established.
• Master plans are living documents: Use decision protocols when decisions arrive that change scope.
• Don't over-plan later releases: Define theme and rough scope, but save detailed specs for when earlier releases are done and the architecture has been validated in practice.

VI. Quality Checklist

• Era has a name and a clear relationship to its predecessor
• 3+ facets scouted with insights and decisions recorded
• Conceptual architecture defined (metaphors, patterns, design language, data model)
• 3-7 releases defined with themes, scope, and dependencies
• Dependency graph shows ordering and parallel opportunities
• Master plan written as single commissioning document
• First release has detailed specs ready for implementation
• Constraints are clear enough that any release can check compliance

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OpenClaw Tool Integration

When running inside the Dojo Genesis plugin:

1. Start by calling dojo_get_context to retrieve full project state, history, and artifacts
2. During the skill, follow the workflow steps documented above
3. Save outputs using dojo_save_artifact with the artifacts output directory
4. Update project state by calling dojo_update_state to record skill completion and any phase transitions