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/diary

Unified Diary System: A context-preserving automated logger for multi-project development.

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master-skills
17200 skills

Claude Code

$ npx -y skills add sinhoneyy/master-skills --skill diary --agent claude-code

SKILL.md

diary.SKILL.md
name: diary
description: "Unified Diary System: A context-preserving automated logger for multi-project development."
risk: safe
source: self

📔 Unified Diary System

When to Use This Skill

Use this skill when you want to summarize progress, write a daily dev log, or perform a daily review while keeping project contexts isolated and synced to Notion/Obsidian.

> 🚨 **Agent One-Shot Integrity Constraint (Highest Priority)**: Steps 1-4 are an **indivisible atomic workflow**. The AI **MUST use Continuous Tool Calling** to complete all actions in one breath. > - **ABSOLUTELY FORBIDDEN** to output conversational text and wait for the user after completing Step 1, 2, or 3. > - Example: Immediately after saving the file in Step 1, you must **automatically and instantly** call the terminal tool to execute the script in Step 2. Stopping to chat or asking "Should I continue?" is considered a critical error. Only inform the user explicitly if you are stuck due to a technical error.

> ⚠️ **Ironclad Rule 1**: The local project diary in Step 1 **must NEVER be polluted with global data**. It only records the current project. > ⚠️ **Ironclad Rule 2**: When using tools like `run_command` to execute predefined python scripts (Step 2, Step 4), you must set them to `SafeToAutoRun: true` to avoid getting stuck waiting for user authorization. > ⚠️ **Ironclad Rule 3**: **Never guess the project name**. The AI must confirm the current directory name as the project identifier using a terminal command BEFORE taking any action in Step 1.

---

Step 1: Local Project Archiving (AI Generation)

  • **Action 0 (Identify)**: Call the terminal `pwd` (Linux/Mac) or `(Get-Item .).Name` (Windows) to confirm the current folder name.
  • **Action 1 (Write)**: Summarize the achievements from the current conversation (Git Commits, file changes, task progress), and write them into the **current project folder** at `diary/YYYY/MM/YYYY-MM-DD-ProjectName.md`.
  • **Isolation and Naming Rules (Ironclad Rules)**:
  • 📄 **Mandatory Filename Suffix**: The local diary **MUST** include the project name detected just now. It is **absolutely forbidden** to use a global-level filename (like `2026-02-23.md`) locally.
  • ✅ **Pure Content**: Only record content exclusive to the current project. Do not mix in other projects.
  • 📝 **Append Mode**: If the project diary already exists, update it using "append", never overwrite the original content.
  • 📁 **Auto-Creation**: Create subfolders `diary/YYYY/MM/` based on the year and month.
  • ⚡ **Force Continue**: Once writing is complete, **do not interrupt the conversation; immediately call the terminal tool and proceed to Step 2.**

Step 1.5: Refresh Project Context (Automation Script)

  • **Prerequisite**: You have confirmed the current project directory path (from Action 0's `pwd` result).
  • **Action**: Call the terminal to execute the following command to automatically scan the project state and generate/update `AGENT_CONTEXT.md`:
  python {diary_system_path}/scripts/prepare_context.py "<Project_Root_Path>"
  • **SafeToAutoRun**: true (Safe operation; purely reading and writing local files).
  • **Result**: `AGENT_CONTEXT.md` in the project directory is refreshed to the latest state.
  • **After Completion**: Force continue to Step 2; do not wait for user confirmation.

Step 2: Extract Global & Project Material (Script Execution)

  • **Action**: Call the extraction script, **passing in the absolute path of the project diary just written in Step 1**. The script will precisely print "Today's Global Progress" and "Current Project Progress".
  • **Execution Command**:
  python {diary_system_path}/scripts/fetch_diaries.py "<Absolute_Path_to_Step1_Project_Diary>"
  • **Result**: The terminal will print two sets of material side-by-side. The AI must read the terminal output directly and prepare for mental fusion.

Step 3: AI Smart Fusion & Global Archiving (AI Execution) 🧠

  • **Action**: Based on the two materials printed by the terminal in Step 2, complete a **seamless fusion** mentally, then write it to the global diary: `{diary_system_path}/diary/YYYY/MM/YYYY-MM-DD.md`.
  • **Context Firewall (Core Mechanism)**:

1. **No Tag Drift**: When reading "Global Progress Material", there may be progress from other projects. **It is strictly forbidden to categorize today's conversation achievements under existing project headings belonging to other projects.** 2. **Priority Definition**: The content marked as `📁 [Current Project Latest Progress]` in Step 2 is the protagonist of today's diary.

  • **Rewrite Rules**:

1. **Safety First**: If the global diary "already exists," preserve the original content and append/fuse the new project progress. **Do not overwrite.** 2. **Precise Zoning**: Ensure there is a dedicated `### 📁 ProjectName` zone for this project. Do not mix content into other project zones. 3. **Lessons Learned**: Merge and deduplicate; attach action items to every entry. 4. **Cleanup**: After writing or fusing globally, you **must** force-delete any temporary files created to avoid encoding issues (e.g., `temp_diary.txt`, `fetched_diary.txt`) to keep the workspace clean.

Step 4: Cloud Sync & Experience Extraction (Script + Human) 🛑

  • **Action 1 (Sync)**: Call the master script to push the global diary to Notion and Obsidian.
  • **Execution Command**:
  python {diary_system_path}/scripts/master_diary_sync.py --sync-only
  • **Action 2 (Extraction & Forced Pause)**:

1. The AI extracts "Improvements & Learning" from the global diary. 2. Confirm if it contains entirely new key points lacking in the past (📌 New Rules), or better approaches (🔄 Evolved Rules). 3. List the results and **WAIT FOR USER CONFIRMATION** (user says "execute" or "agree"). 4. After user confirmation, update the `.md` file in `{Knowledge_Base_Path}/` and execute `qmd embed` (if applicable).

--- **🎯 Task Acceptance Criteria**: 1.

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Questions about diary.

Which coding agents can use diary?
diary installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.