gh300-study-planner

# 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, August 7, 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. **Collect confidence and time budget.** Ask for Strong, Moderate, Weak, or Unknown ratings, available study time, and the exam date if known. Reuse information already supplied. 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 time that fits the learner's actual budget, with an observable practice check. Label estimates as planning guidance, not a readiness guarantee. - 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.