Save-Diary-System

📖 Save Diary System

Automated daily session documentation with monthly archival

What This Feature Does

Adds a structured daily diary system to your AI companion, enabling session-by-session documentation that captures achievements, collaboration moments, and growth — all automatically organized with monthly archival.

• Daily session documentation as structured diary entries in daily-diary/current/
• Append-only entries — one file per day, multiple session entries per file, never overwrite
• Monthly auto-archival — previous month entries automatically move to daily-diary/archived/YYYY-MM/
• Session memory updates — automatically update main/current-session.md with session recap
• Skill auto-install — if Skill Plugin System is detected, installs save-diary as an auto-triggered skill

How It Works

The Concept

The diary is a living session log — not a raw chat transcript, but a curated summary written by your AI companion. Every significant session gets documented with structured sections following the existing daily-diary-protocol.md format. Over time, this creates a searchable history of everything you've built together.

Example: End-of-Session Diary Save

You: "save diary"
→ AI checks if previous month entries need archiving
→ Finds (or creates) today's diary file: 2026-02-20.md
→ Composes structured entry following daily-diary-protocol.md
→ Appends to today's file (preserving earlier entries)
→ Updates session memory with recap
→ "Today's story takes shape."

How It Differs From Chat Logs

Aspect	Chat Log	Session Diary
Content	Every message verbatim	Curated summary of achievements
Structure	Chronological messages	Categorized sections (topics, insights, growth)
Size	Grows rapidly	Concise entries (50-150 lines per session)
Searchability	Hard to find specific moments	Easy to scan by date and section
Value	Raw data	Processed insights

Diary Architecture

Directory Structure

daily-diary/
├── current/                         # Active month's entries
│   ├── 2026-02-18.md               # Tuesday's sessions
│   ├── 2026-02-19.md               # Wednesday's sessions
│   └── 2026-02-20.md               # Today's sessions
├── archived/                        # Previous months
│   ├── 2026-01/                    # January's entries
│   │   ├── 2026-01-15.md
│   │   └── 2026-01-20.md
│   └── 2025-12/                    # December's entries
│       └── 2025-12-28.md
└── daily-diary-protocol.md          # Entry format reference (already in repo)

Daily File Format

Each diary file uses date-based naming (YYYY-MM-DD.md) and supports multiple entries per day:

# [Your Diary Name] - February 20, 2026

---

## February 20, 2026 (Morning - 9:30 AM) - API Integration Sprint
[Structured entry following daily-diary-protocol.md...]

---

## February 20, 2026 (Evening - 7:15 PM) - Bug Fix Marathon
[Second session entry appended to same file...]

Monthly Archive Cycle

End of January → February 1st diary save triggers:
  1. Detect: January entries still in current/
  2. Create: archived/2026-01/
  3. Move: All January files from current/ to archived/2026-01/
  4. Continue: New February entry in current/

Quick Integration

"Load save-diary"

What Happens During Integration

1. Asks for your diary system name (defaults to "Session Diary" — customize to match your AI)
2. Creates daily-diary/current/ and daily-diary/archived/ directories
3. Creates your first diary entry documenting the installation session
4. Installs as skill — if Skill Plugin System is detected, copies SKILL.md into your plugin
5. Updates master-memory.md with diary commands and references
6. Self-deletes this feature folder after successful integration

Post-Integration Result

After running the integration protocol:

• Your AI has a working diary system with today's first entry
• Every "save diary" command creates a structured session entry
• Monthly archival runs automatically before each diary write
• Session memory updates with recap after each entry
• If Skill Plugin System installed: diary saves auto-trigger on "save diary"

Entry Sections (from daily-diary-protocol.md)

Section	What It Captures
Session Summary	Date, duration, session type, participants
Main Topics Discussed	Key discussions with insights
Key Insights & Learning	What AI learned, what user accomplished, collaboration highlights
Growth & Development	AI evolution, user skill growth
Memorable Moments	Breakthroughs, effective collaboration, connection highlights
Looking Forward	Next steps, development goals
Session Quality Assessment	Effectiveness, communication, goal achievement ratings

Benefits

• Complete history — searchable record of every session's achievements and insights
• Growth tracking — see AI and user development over weeks and months
• Context continuity — never lose track of past decisions, solutions, or progress
• Self-documenting — AI captures session value with minimal user effort
• Clean organization — monthly archival keeps workspace organized automatically

Platform Note

Works with any AI system. Uses date command on macOS/Linux or Get-Date on Windows for timestamps. The diary files are plain markdown — human-readable and portable across any platform. Auto-triggered skill requires Claude Code with the Skill Plugin System.

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Based on proven daily documentation systems in production AI companions