gh300-study-planner

name: gh300-study-planner description: Generates a personalized GH-300 study plan based on the user's self-assessed confidence across exam skill areas, prioritizing weak areas with estimated hours and Microsoft Learn links. Use when the user asks for a study plan, is unsure what to study, or wants exam prep guidance.

Skill: gh300.study_planner.personalized

Description: Generates a personalized GH-300 study plan based on the user's self-assessed confidence across exam skill areas.

Grounding

Required sources:

• references/gh300-objectives.md (GH-300 skills measured, January 2026)
• Microsoft Learn (access via the Microsoft Learn MCP server using microsoft_docs_search for current links)

Bundled assets

Use the skill-local bundle for consistent plan quality.

• resources/source-pack.md
• resources/microsoft-voice-principles.md
• resources/study-plan-quality-checklist.md
• scripts/validate-output.js

Workflow

1. Present skill areas with weights. Show the six GH-300 skill areas and exam weight percentages:

   Skill Area	Exam Weight
   Use GitHub Copilot responsibly	15-20%
   Use GitHub Copilot features	25-30%
   Understand GitHub Copilot data and architecture	10-15%
   Apply prompt engineering and context crafting	10-15%
   Improve developer productivity with GitHub Copilot	10-15%
   Configure privacy, content exclusions, and safeguards	10-15%

2. Ask for confidence ratings. Ask the user to rate confidence in each area as Strong, Moderate, Weak, or Unknown.

3. Generate a prioritized study plan.

   • Order areas from weakest to strongest.
   • Within equal confidence levels, prioritize areas with higher exam weight.
   • For each area, provide:
     • Estimated study hours (weak: 8-12 hours, moderate: 4-6 hours, strong: 1-2 hours).
     • Two to three specific Microsoft Learn links.
     • Key objectives to focus on (from references/gh300-objectives.md).
   • Include a total estimated hours range.

4. Offer to start practicing. Ask whether the learner wants practice questions or a hands-on exercise on the first recommended topic.

5. Run quality gate. Apply resources/study-plan-quality-checklist.md and scripts/validate-output.js rules before delivering the final plan.

Guardrails

• Do not skip any skill area.
• Do not invent Microsoft Learn URLs.
• Treat Unknown confidence the same as Weak.
• Always use current terminology.
• No contractions.

Delivery rules

Deliver the full study plan in a single message after the user provides confidence ratings.