knowledge-check

Knowledge Check Skill

Protocol for validating that developers understand the technical decisions the AI made on their behalf. The AI acts as a tutor — it quizzes, evaluates, explains, and logs results.

When This Skill Is Loaded

• After /virtual-team:vt-plan approval — quiz on architectural decisions and technical approach
• Before /virtual-team:vt-pr submission — quiz on implementation patterns and code decisions
• Standalone /virtual-team:vt-check — developer-initiated quiz on any current work

Developer Settings

The knowledge check triggers automatically based on the developer's home settings.

File: ~/.claude/settings.json

Setting:

{
  "knowledgeCheck": "on"
}

Values:

• "on" — run knowledge checks at plan and PR checkpoints (soft block: warn on gaps, always proceed)
• "strict" — run knowledge checks as hard blocks (must pass to proceed)
• "off" or absent — skip knowledge checks entirely

How commands use this setting:

1. Read ~/.claude/settings.json at the start of the check step
2. If knowledgeCheck is "on" or "strict", run the check
3. If knowledgeCheck is "off", absent, or the file doesn't exist, skip silently
4. The standalone /virtual-team:vt-check command always runs regardless of settings (developer chose to invoke it)
5. --auto mode on /virtual-team:vt-plan and /virtual-team:vt-pr always skips the check (nobody is there to answer)

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Question Generation

Post-Plan Questions (Architectural Focus)

Read the approved plan and generate questions targeting:

1. Tech choices — Why was this library/pattern/approach chosen?
2. Tradeoffs — What are the downsides of the chosen approach? What was considered and rejected?
3. Ordering — Why are the phases in this sequence? What breaks if you reorder them?
4. Integration — How does this change fit into the existing system architecture?
5. Risks — What are the identified risks and how does the plan mitigate them?

Source material: The plan document, the feature spec, stack.md, any referenced decision records.

Pre-PR Questions (Implementation Focus)

Read the branch diff and the implementation plan, then generate questions targeting:

1. Patterns — Why was this code pattern used? What existing code does it follow?
2. Data flow — How does data move through the new/modified code?
3. Edge cases — What edge cases are handled? How?
4. Error handling — What happens when things fail? What's the recovery path?
5. Testing — Why were these specific test scenarios chosen? What's covered and what isn't?

Source material: git diff <base>...HEAD, the implementation plan, the feature spec, the test files.

Standalone /virtual-team:vt-check Questions

Determine what the developer is currently working on:

1. Load the backlog skill and call list(status=doing) and list(status=implemented) to find items in progress
2. Find the associated plan and feature spec
3. Check the current branch diff
4. Generate questions appropriate to the current stage:
   • If pre-implementation (plan exists, no code yet) → architectural questions
   • If mid-implementation (code in progress) → mix of both
   • If post-implementation (code done, pre-PR) → implementation questions

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Question Format (Mix)

Generate 3-5 questions per checkpoint.

Multiple Choice (2-3 per checkpoint)

For factual/recall questions where there's a clear correct answer.

Structure:

**Q1:** [Question about a specific decision from the plan/code]

A) [Correct answer]
B) [Plausible but incorrect alternative]
C) [Plausible but incorrect alternative]
D) [Plausible but incorrect alternative]

Guidelines:

• The correct answer should come from the actual plan/code decisions
• Wrong answers should be plausible alternatives that a developer might consider
• Don't make wrong answers obviously absurd — they should test real understanding
• Shuffle the position of the correct answer (don't always put it as A)

Examples of good multiple choice questions:

• "Which existing pattern does the plan reference for the new API endpoint?"
• "What database approach was chosen for the notification preferences?"
• "Which phase must complete before the frontend work can begin?"

Open-Ended (1-2 per checkpoint)

For critical decisions where the developer needs to articulate reasoning.

Structure:

**Q4 (open):** [Question requiring explanation]

*Key concepts your answer should touch on:*
(hidden until after the developer answers)

Guidelines:

• Target the single most important architectural or implementation decision
• The question should require understanding the WHY, not just the WHAT
• Prepare 3-5 key concepts that a good answer should cover (used for evaluation)

Examples of good open-ended questions:

• "Why does the plan put the database migration in Phase 1 before the API changes in Phase 2?"
• "Explain the tradeoff the plan made by choosing [approach X] over [approach Y]."
• "How does the error handling in the new service align with the existing patterns?"

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Evaluation

Multiple Choice

• Correct: 1 point
• Incorrect: 0 points

Open-Ended

Evaluate against the prepared key concepts:

1. List the 3-5 key concepts the answer should cover
2. Check how many the developer's answer demonstrates understanding of
3. Score:
   • Covers 3+ key concepts → full credit (1 point)
   • Covers 2 key concepts → partial credit (0.5 points)
   • Covers 0-1 key concepts → no credit (0 points)

Pass Threshold

• Pass: Score ≥ 60% of total points
• Gaps detected: Score < 60%

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Response Protocol

Always (regardless of pass/fail)

After evaluating all answers, provide a tutoring response for every question:

## Results

**Score:** [X]/[Y] ([percentage]%)
**Result:** ✅ Passed | ⚠️ Gaps detected

### Q1: [Question]
**Your answer:** [what they said]
**Correct:** [A/B/C/D]
**Explanation:** [2-3 sentences explaining WHY this is the right answer,
referencing the specific plan section, code pattern, or decision that
informed it. This is the tutoring — make it educational, not just
"you got it right/wrong."]

### Q2: [Question]
...

### Q4 (open): [Question]
**Your answer:** [what they said]
**Key concepts:** [list the 3-5 concepts]
**Covered:** [which ones their answer demonstrated]
**Missing:** [which ones they missed]
**Explanation:** [Educational explanation of the full reasoning]

On Pass (soft or strict mode)

✅ Knowledge check passed. Proceeding.

On Gaps — Soft Mode ("on")

⚠️ Knowledge gaps detected ([X]% score, 60% required).

Review the explanations above — they cover the reasoning behind
the decisions you'll be working with.

Proceeding with the workflow.

Log the gaps and continue.

On Gaps — Strict Mode ("strict")

⛔ Knowledge check not passed ([X]% score, 60% required).

Review the explanations above, then re-run the check:
- `/virtual-team:vt-check` to try again
- Or ask questions about any concepts that are unclear

The workflow is paused until the check passes.

Do NOT proceed. The developer must run /virtual-team:vt-check and pass.

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Logging

Write results to docs/knowledge-checks/YYYY-MM-DD-<checkpoint>-<ticket>.md:

---
date: YYYY-MM-DD
developer: [git user.name or "unknown"]
ticket: [TICKET-ID]
checkpoint: plan | pr | standalone
score: [percentage]
result: pass | gaps-detected
feature: [FEAT-NNN]
plan: [path to plan if applicable]
---

# Knowledge Check: [checkpoint type] — [TICKET-ID]

## Context
- **Feature:** [feature name]
- **Plan:** [plan path]
- **Branch:** [branch name]
- **Mode:** [on | strict]

## Questions & Answers

### Q1: [Question]
- **Type:** multiple-choice
- **Answer:** [developer's answer]
- **Correct:** [correct answer]
- **Result:** ✅ | ❌

### Q2: [Question]
...

### Q4: [Question]
- **Type:** open-ended
- **Answer:** [developer's answer]
- **Key concepts covered:** [list]
- **Key concepts missed:** [list]
- **Result:** ✅ | ⚠️ partial | ❌

## Summary
- **Total score:** [X]/[Y] ([percentage]%)
- **Result:** pass | gaps-detected
- **Gaps:** [list of topics where understanding was weak, if any]

Log file rules:

• Create docs/knowledge-checks/ if it doesn't exist
• One file per check (not per question)
• The log is committed with the next relevant commit (not its own standalone commit)
• These logs are useful for team leads to identify training needs across the organization