README.md, an agent-facing
SKILL.md, and only the supporting resources it needs.
Specialization IDs
Specialization IDs use two letters followed by a two-digit sequence number. The first letter identifies the category: G = General, P = Professional. The second identifies the format: W = Workshop-type short course, T = Internship with real-project engagement.GW02 · Professional AI Agent Course
The Professional AI Agent Course composes twelve focused capabilities for Lessons 2–5. Each package link opens the complete skill codebase. Start with the shared setup and classroom guide; production course persistence is a separately tracked backend dependency.PT01 · AI-Native Internship
The PT01 · AI-Native Internship specialization is a separate three-phase pathway: 4–6 private two-hour coaching sessions based on the student’s existing skill proficiency, a formal GitHub open-source contribution, and supervised real-project engagement subject to readiness and project matching. Coaching covers flexible content areas rather than a fixed session-by-session syllabus. Its curriculum and deliverables are documented separately from the GW02 skill packages.Additional Practitioner Skills
Skill Package Shape
Each shared skill should keep the package itself small:README.md for the human-facing story: why the package exists, who it is
for, and the end-to-end workflow a student or operator should understand before
using it. Use SKILL.md for the Codex invocation contract. Use scripts/ for
deterministic helpers, references/ for rule files or supporting guidance, and
agents/openai.yaml for UI metadata.
Contribution Type
Practitioner skill packages are code-plus-docs contributions. A package should include a human-facingREADME.md, an agent-facing SKILL.md, agent metadata,
deterministic scripts, reference rules, and the minimum supporting
documentation needed to make the skill reviewable and runnable. Do not treat
these issues as documentation-only unless the requested change only edits
explanatory pages.
