Dialogue: Daily Check Assessment

Dialogue: Daily Check Assessment

Log a daily check assessment to capture developer experience indicators at the end of a session.

Framework Grounding

This skill operationalises:

• C-6 (Hicks et al. 2024): Developer Thriving—agency, motivation, learning culture, support
• C-7 (Obi et al. 2024): "Bad Days"—blockers, interruptions, context switching, unclear requirements

When to Use

Use this skill at the end of substantive work sessions to:

• Capture developer experience signals
• Build longitudinal data for pattern detection
• Surface systematic issues early

The Stop hook will remind you when a daily check hasn't been done and substantive work occurred.

How to Log a Daily Check

Option 1: Interactive Collection (Recommended)

Ask the user the following questions using AskUserQuestion. Frame these as a quick 5-7 question check-in about the session.

Good day indicators:

1. Did you make meaningful progress on tasks today? (yes/​no)
2. Did you learn something new or deepen understanding? (yes/​no)
3. Did you have support when needed? (yes/​no)
4. Did you have control over how to approach your work? (yes/​no)

Bad day indicators: 5. Did you encounter blockers that impeded progress? (yes/​no) 6. Did excessive context switching disrupt your flow? (yes/​no) 7. Did you work with unclear or ambiguous requirements? (yes/​no)

Overall: 8. Rate the overall session quality (1-5) 9. Any notes or reflections? (optional free text)

Option 2: Direct Script Invocation

If you already have the responses, invoke the logging script directly:

${CLAUDE_PLUGIN_ROOT}/​skills/​dialogue-daily-check/​scripts/​log-daily-check.sh \
  <assessor> \
  <made_progress> <learned_something> <felt_supported> <had_agency> \
  <experienced_blockers> <context_switching> <unclear_requirements> \
  <session_quality> \
  [task_ref] [notes]

Parameters

Example Interactive Flow

AI: Let me do a quick end-of-session check. This helps track developer experience patterns.

[Uses AskUserQuestion with the 7-8 questions]

AI: Thanks! Let me log that assessment.

[Invokes log-daily-check.sh with collected responses]

AI: Daily check logged as ASSESS-20260122-170000.
    Session quality: 4/​5
    Good: Made progress, learned something, felt supported
    Challenges: Some unclear requirements

Example Direct Invocation

${CLAUDE_PLUGIN_ROOT}/​skills/​dialogue-daily-check/​scripts/​log-daily-check.sh \
  "human:pidster" \
  true true true true \
  false false true \
  4 \
  "FW-023" \
  "Productive session implementing assessments"

Output

The script returns the generated assessment ID (e.g., ASSESS-20260122-170000).

The assessment is stored in .dialogue/​logs/​assessments/ and creates:

• Assessment YAML file
• Context graph node (ARTIFACT with artifact_type: ASSESSMENT)
• CREATED edge from assessor to assessment
• ASSESSES edge to task (if task_ref provided)

Interpreting Results

Healthy session indicators:

• 3+ good day indicators true
• 0-1 bad day indicators true
• Session quality 4-5

Warning signals:

• Fewer than 2 good day indicators
• 2+ bad day indicators
• Session quality below 3

Pattern detection (future capability):

• Track trends over time
• Identify systematic issues (e.g., chronic unclear requirements)
• Correlate with task types, phases, or collaboration patterns

Schema Reference

See Assessment Schema for the complete DAILY_CHECK response schema and validation rules.