Daily Reflection Skill

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name: daily-reflection

description: "Daily reflection routine that runs automatically via cron job at 23:59. Analyzes the day, extracts learnings, updates solution memory, detects recurring patterns, and prepares a morning briefing. Use when: (1) setting up automated end-of-day reflection, (2) building long-term agent memory and learning systems, (3) creating morning briefings for the next day. Trigger phrases: 'daily reflection', 'end of day summary', 'reflect on today', 'update solution memory'."

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# Daily Reflection Skill

Run this reflection fully. No step may be skipped.

All outputs are written to memory — not output as chat messages.

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STEP 1 — Day Analysis

Load all today's entries from memory (memory_search for "today", current date, active projects).

Answer these questions:

Tasks

Bugs & Issues

Quality

Communication

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STEP 2 — Extract Learnings

Maximum 5 concrete learnings. Format:

LEARNING:
Situation: [What happened]
Error/Insight: [What was wrong or newly learned]
Better tomorrow: [Concrete behavior change]
Context-Tags: [e.g. NestJS, Auth, Backend, Debugging]
Priority: high / medium / low

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STEP 3 — Update Solution Memory

For each non-trivial bug solved today:

{
  "id": "[timestamp]-[short-name]",
  "problem": "[Problem in one sentence]",
  "symptoms": ["[Symptom 1]", "[Symptom 2]"],
  "root_cause": "[The actual cause]",
  "solution": "[What was concretely changed]",
  "code_snippet": "[Optional: key code fix]",
  "context_tags": ["Tag1", "Tag2"],
  "project": "[Project name]",
  "confidence": 0.95,
  "solved_at": "[Date]",
  "time_to_solve_minutes": 0
}

Write to memory under `solution_memory/[id].json`.

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STEP 4 — Pattern Detection (last 7 days)

Check memory_search over last 7 days:

Format:

PATTERN DETECTED:
Observation: [What repeats]
Frequency: [X times in Y days]
Countermeasure: [What I will automatically do from now on]

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STEP 5 — Write Morning Briefing

Write to `memory/morning-briefing.md` (overwrite) AND archive as `memory/briefings/[tomorrow-date].md`:

🌅 MORNING BRIEFING — [Tomorrow's date]

📋 OPEN TASKS (Priority):
1. [Task] — [why important today]
2. [Task]
3. [Task]

🔴 OPEN BUGS:
- [Bug] — [last status]

💡 TODAY'S LEARNINGS (top 3):
- [Learning 1]
- [Learning 2]
- [Learning 3]

⚠️ WATCH OUT TOMORROW:
- [What to pay special attention to]

🎯 FOCUS TOMORROW:
[One sentence on what's most important]

**After writing:** `mkdir -p memory/briefings && cp memory/morning-briefing.md memory/briefings/[tomorrow-date].md`

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STEP 6 — Write Daily Memory

Write structured summary to `memory/YYYY-MM-DD.md` (append).

Format:

## 23:59 Reflection

### Completed today
- [Task 1]
- [Task 2]

### Open / In Progress
- [Task]

### What went well
- [Concrete things that worked — code, communication, decisions]

### What went poorly
- [Honest — errors, misunderstandings, bad decisions]

### Learnings
- Situation: [What happened] → Better tomorrow: [Concrete change]

### New Patterns
- If new pattern detected → write to memory/patterns.md
- If no new pattern: "No new patterns"

### Solution Memory Updates
- [ID] — [short description]

**REQUIRED:** What went well + What went poorly + Learnings must ALWAYS be filled in.

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STEP 7 — Memory Cleanup

STEP 8 — Session Quality Score

Rate today's session objectively (0-10):

📊 SESSION QUALITY — [Date]
Helpful: [0-10] — Did the user get what they needed?
Response time: [0-10] — Was I fast and direct?
Errors: [0-10] — How many corrections? (10 = none)
Proactivity: [0-10] — Did I anticipate problems?
Total: [Average]

What lowered quality today: [specific]
What raised it: [specific]

Write to `memory/session-quality-log.md` (append).

If Total < 7 → analyze main reason and write new pattern.

STEP 9 — Evaluate Cron Prompts

Check last outputs of key crons (read archived briefings):

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OUTPUT RULE

**No chat output.** Memory-writes only.

Exception: Critical open problem that can't wait →

Short message: `⚠️ Reflection done — critical issue: [1 sentence]`

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SOLUTION MEMORY — CONSULT BEFORE DEBUGGING

**BEFORE any debugging attempt:**

1. `memory_search("solution_memory [keywords from bug description]")`

2. Relevant solutions found → try these first

3. No solutions → debug normally, then write to solution memory

**BEFORE similar tasks:**

1. `memory_search("solution_memory [task-type]")`

2. Similar past tasks → use time estimate and known pitfalls