Overview

Create the energy industry context template, the second of three P0 industry templates. This provides energy-sector-specific vocabulary, constraints, empathy tools, and reference scenarios for DT coaching. Unlike the manufacturing template (which draws from 130+ DT4HVE references), this template is primarily original content informed by the energy sector's unique characteristics: critical infrastructure, long asset lifecycles, regulatory intensity, and the energy transition context.

Target File

.github/instructions/dt-industry-energy.instructions.md

Frontmatter

---
description: 'Energy industry context for DT coaching — vocabulary, constraints, empathy tools, and reference scenarios'
applyTo: ''
---

Required Content

Industry Profile

• Sector: Energy (generation, transmission, distribution, renewables integration)
• Key stakeholders: Control room operators, field technicians, grid engineers, reliability engineers, environmental compliance officers, asset managers, regulatory affairs, community relations
• Decision cadence: Real-time operations (seconds-minutes), maintenance scheduling (weekly-monthly), asset investment (5-30 year horizons), regulatory compliance (annual/multi-year)
• Regulatory environment: NERC CIP, FERC, state utility commissions, EPA, DOE, emerging climate disclosure requirements

Vocabulary Mapping

Constraints and Considerations

• Critical infrastructure: Design challenges may involve systems where failure has public safety implications; DT activities must never compromise operational reliability
• Regulatory weight: Many processes exist because of regulation, not preference; understanding the regulatory driver is essential before redesigning
• Long asset lifecycles: Solutions must account for 30-50 year asset lifecycles; what's innovative today must work decades from now
• Jurisdiction complexity: Energy problems often span multiple regulatory jurisdictions with different rules
• Workforce transition: Energy transition creates anxiety about job security; empathy work must be sensitive to this context
• Security classification: Some operational data is classified under critical infrastructure protection rules

Empathy Tools

• Control room observation: Watch operators manage grid operations, decision speed, information density, alarm fatigue
• Field ride-along: Accompany field technicians to understand physical environment, safety rituals, and tool limitations
• Regulatory timeline mapping: Map the regulatory calendar to understand when stakeholders are available vs. consumed by compliance deadlines
• Intergenerational knowledge capture: Structured approach to understanding what experienced workers know that isn't documented

Reference Scenario

• Context: Grid operations center struggling with renewable energy integration, intermittent generation creating new operational challenges
• Stakeholders: Control room operators, renewable generation forecasters, market traders, transmission planners, field crews
• Discovery: Traditional grid management assumptions break down with variable generation; operators are creating informal workarounds that aren't documented or shared
• DT Journey: Methods 1-3 surface the human-system interaction challenges; Methods 4-6 generate solutions for operator decision support; Methods 7-9 pilot in controlled grid scenarios

Token Budget

Target: ~1,500-2,000 tokens (on-demand tier)

Source Material

Attach these files as context for the task-researcher phase:

• Cumulative research: Design Thinking cumulative research, Part 7 (cross-industry strategy) for Industry Context Layer architecture and energy sector DT application patterns
• Note: No existing DT4HVE energy-sector content; this template requires original content development informed by the energy sector's unique characteristics. Use the manufacturing template (feat(instructions): Create manufacturing industry context template #587) as structural reference.

RPI Pipeline Workflow

1. task-researcher: Research energy sector DT applications, grid operations, asset management, regulatory compliance, workforce transition. Use DT4HVE energy references and supplement with domain knowledge.
2. task-planner: Plan the template, industry profile, vocabulary mapping, constraints, empathy tools, reference scenario.
3. task-implementor: Author following prompt-builder standards. Energy content is primarily original; maintain the same quality and structure as the manufacturing template.
4. task-reviewer: Validate energy domain accuracy, critical infrastructure sensitivity, vocabulary mapping, prompt-builder compliance.

Starter Prompts

Research: /task-research — "Research energy sector DT applications — grid operations, asset management, regulatory compliance, workforce transition. No existing DT4HVE energy content; research domain knowledge and use manufacturing template as structural reference. Attach cumulative research Part 7 as context."

Plan: /task-plan — "Plan dt-industry-energy.instructions.md — industry profile, vocabulary mapping, constraints (critical infrastructure, regulatory weight, long asset lifecycles), empathy tools, reference scenario."

Implement: /task-implement — "Author dt-industry-energy.instructions.md following prompt-builder standards with empty applyTo, 1500-2000 token budget. Original content maintaining manufacturing template quality."

Review: /task-review — "Validate dt-industry-energy.instructions.md against prompt-builder standards, energy domain accuracy, and critical infrastructure sensitivity."

Prompt-Builder Compliance Checklist

Per .github/instructions/prompt-builder.instructions.md:

• description: frontmatter present and descriptive
• applyTo: '' (empty, on-demand loading)
• Writing style uses guidance over commands (no "You must/will/shall")
• Token count within budget tier
• No ALL CAPS emphasis
• Vocabulary mapping is bidirectional (DT→energy and energy→DT)

Success Criteria

• Template created at .github/instructions/dt-industry-energy.instructions.md
• Frontmatter has empty applyTo: (on-demand loading)
• Industry profile covers key stakeholders, decision cadence, regulatory environment
• Vocabulary mapping bridges DT and energy terminology
• Constraints address critical infrastructure, regulatory weight, long asset lifecycles, security classification
• Empathy tools are practical and energy-specific (control room observation, field ride-along)
• Reference scenario demonstrates full DT journey in energy context
• Token count within ~1,500-2,000 target
• Passes task-reviewer validation against prompt-builder standards
• Artifact registered in collections/design-thinking.collection.yml with path and kind fields
• Artifact registered in collections/hve-core-all.collection.yml with path and kind fields
• npm run plugin:generate run after updating collection manifests