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Create and manage DOJO content for platform engineering education and knowledge sharing.
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Based on SOC occupation classification
Generate and maintain AI_STANCE.md for any uFawkes* repo. Use when onboarding a repo to the uFawkesAI suite, when reviewing AI policy currency, or when a new AI tool is being adopted. Implements DORA AI Capability 1.
Ensure graphify corpus is current and complete before each agent session. Define minimum AI-accessible documentation per repo. Use at session startup to verify internal context is available to AI tools. Implements DORA AI Capability 3.
15-minute JTBD + acceptance criterion exercise. Use before any spec session. Produces a discovery-brief.md that anchors the entire increment to a real user need and a measurable DORA outcome. Implements DORA AI Capability 6.
Enforce minimum documentation standard across uFawkes* repos. Use when auditing a repo before release, onboarding a new repo to the suite, or implementing roadmap item 0.6 (cross-repo README links). Directly supports DORA AI Capability 3 and the 2023 DORA finding that documentation quality amplifies all technical capabilities.
Maintain AI_STANCE.md as a living document. Use quarterly or when a new AI tool is adopted. Handles review triggers, the three-bucket update process, socialization checklist, and cross-repo consistency. Companion to ai-stance skill.
Full user research methods for uFawkes product decisions. Use when the 15-minute discovery exercise is insufficient — when the riskiest assumption is untested, when user segments disagree, or when a major capability is being designed from scratch. Tier 3: Phase 2.
| name | dojo-content |
| description | Create and manage DOJO content for platform engineering education and knowledge sharing. |
| license | MIT |
| compatibility | Claude Code, GitHub Copilot, OpenCode, Cursor, Codex, Gemini CLI |
| metadata | {"author":"paruff","suite":"uFawkesAI"} |
Load trigger:
"load dojo-content skill"> DORA: AI Capability 3 (AI-assisted development) Token cost: Low
Create educational content for DOJO sessions focused on platform engineering best practices, DORA metrics, and developer experience.
| Situation | Run DOJO content? |
|---|---|
| New platform capability launched | Yes |
| DORA metrics show regression | Yes |
| Developer feedback indicates knowledge gap | Yes |
| Quarterly DOJO session scheduled | Yes |
## Title
[One-line description]
## Learning Objective
[What developers will know/do after this session]
## Prerequisites
- [Required knowledge]
## Content
[Main material - 500-1000 words]
## Hands-on Exercise
[Practical activity]
## Key Takeaways
- [3-5 bullet points]
{
"skill": "dojo-content",
"topic": "string",
"target_audience": "string",
"content_path": "dojo/YYYY-MM-DD-topic.md",
"slides_path": "dojo/slides/YYYY-MM-DD-topic.md",
"exercise_path": "dojo/exercises/YYYY-MM-DD-topic.md"
}