메뉴
Apply Brian Balfour's CODER framework to drive organizational AI adoption. Constraints, Ownership, Directives, Expectations, Rewards.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Plan the v1→v2→v3 agency progression for AI features. Walk through mapping how autonomy increases over time, define promotion criteria, and generate artifacts for stakeholder alignment. Based on CC/CD framework.
Expert system for designing and architecting AI agent workflows based on proven Meta methodologies. Use when users need to build AI agents, create agent workflows, solve problems using agentic systems, integrate multiple tools into agent architectures, or need guidance on agent design patterns. Helps translate business problems into structured agent solutions with clear scope, tool integration, and multi-layer architecture planning.
Calculate AI feature costs and challenge if you actually need it. Invokes ai-cost-analyzer agent for detailed economics modeling.
Diagnose why an AI feature is underperforming, hallucinating, or behaving inconsistently. Uses 4D audit to work backwards from symptoms to root cause.
Pre-launch health check that blocks you from shipping broken AI features. Grades 6 dimensions (model selection, data quality, cost, monitoring, failure UX, optimization).
Post-launch AI feature calibration workflow. Document error patterns, review eval performance, and decide on agency promotion. Based on CC/CD framework for continuous calibration of AI products.
| name | coder |
| description | Apply Brian Balfour's CODER framework to drive organizational AI adoption. Constraints, Ownership, Directives, Expectations, Rewards. |
Apply Brian Balfour's CODER Framework to systematically drive AI adoption across your organization.
When this skill is invoked, start with:
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
CODER FRAMEWORK
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Drive AI adoption across your organization.
- Constraints: Make new behavior easier than old
- Ownership: Assign clear responsibility
- Directives: Create specific, actionable instructions
- Expectations: Set measurable goals
- Rewards: Tie to career progression
What do you want to do?
1. Diagnose adoption barriers
2. Create full CODER plan
3. Focus on specific team
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Guides you through creating an AI adoption plan using the CODER framework:
/coder
Optional parameters:
/coder --diagnose - Identify your primary adoption barrier/coder --team [team-name] - Create plan for specific team/coder --export - Generate implementation docDiagnoses your situation:
Guides through CODER framework:
Generates implementation plan:
Make AI behavior easier than old behavior:
Assign clear responsibility:
Create specific, actionable instructions (2-3 per team):
Set specific, universal, measurable goals:
Tie to career progression:
| Barrier | Symptom | Solution Focus |
|---|---|---|
| Political | Leaders disagree on value | Ownership, CEO mandate |
| Retrofitting | "We can't use AI for X" | Directives, examples |
| Procurement | Tool access blocked | Constraints, budgets |
| Knowledge | Don't know how to use tools | Directives, training |
| Permission | Fear of doing wrong | Expectations, psychological safety |
See the full CODER framework at:
frameworks/ai-era-practices/organizational-ai-adoption.md
Framework: Brian Balfour (Reforge, 2025) Best for: Driving organizational change, AI adoption, behavioral transformation Key insight: Move from value capture (10-15% efficiency) to value creation (new capabilities)