auto-diaryv1.0.2

An individual uses the auto-diary skill to automatically generate daily, weekly, and monthly summaries of their work and life. The skill reads context from memory files and farm state, then produces bilingual diary entries with insights, which are saved locally and pushed to Feishu. This helps the user maintain a consistent reflection habit without manual effort.

The auto-diary skill extracts valuable insights (decisions, lessons, improvements) from diary entries and appends them to auto-learn.md. These insights feed into a meditation layer (HexaLoop) that refines agent behavior over time, enabling continuous self-improvement of the AI system.

A team leader deploys this skill to automatically generate daily, weekly, and monthly summaries of team activities. The bilingual output and Feishu card integration make it easy to share updates across a multilingual team, ensuring everyone stays aligned on progress and decisions.

The skill incorporates farm energy values and seed status from farm.json, allowing users (or agents) to monitor their 'energy level' and 'active tasks.' When energy drops below 0.3, the diary signals a need for attention, integrating wellness tracking into the daily reflection process.

The skill serves as an automated documentation system, writing structured diaries and extracting actionable insights to a learning file. This creates a growing knowledge base that can be referenced later, useful for researchers, writers, or anyone needing to capture and organize reflections over time.

Offer the auto-diary skill as part of a subscription service for personal productivity. Users pay a monthly fee to have their daily reflections automatically captured, summarized, and pushed to messaging apps like Feishu. Revenue comes from recurring subscription fees.

License the skill to companies for team deployment. The bilingual reports and Feishu integration enable seamless team logging and reporting. Revenue is generated through per-seat licensing or enterprise contracts.

Sell access to a platform where multiple AI agents use auto-diary to log and improve their performance. The insights from auto-learn.md drive agent optimization, and customers pay based on the number of agents and frequency of insights.