What is the AcademicOps Sleep Cycle skill?

It is a specialized skill for Claude Code that performs periodic background maintenance, consolidating session logs and notes into structured, long-term knowledge.

How does it handle conflicting information?

The skill is designed to flag contradictions rather than auto-resolving them, ensuring that schema-inconsistent information is presented to the user for human judgment.

What is transcript mining in this context?

Transcript mining is a phase where the agent reads past session transcripts to find decisions, facts, or patterns that weren't saved during the active session, creating new knowledge notes for them.

How do I trigger the consolidation process?

You can trigger it manually using the /sleep command in Claude, or set it up to run automatically via GitHub Actions cron jobs.

Does this skill modify my original notes?

No. The Sleep Cycle follows a strict rule to preserve episodic originals like daily notes or meeting logs, only adding consolidation metadata to their frontmatter.

AcademicOps Sleep Cycle

Name: AcademicOps Sleep Cycle
Author: nicsuzor

bynicsuzor

0•

生产力与工作流

Automates the consolidation of episodic session data into structured, long-term semantic knowledge.

Inspired by biological memory consolidation, the Sleep Cycle skill orchestrates essential background maintenance for your Personal Knowledge Base (PKB). It operates as an agent-led session that periodically transforms write-optimized storage, such as session transcripts and daily notes, into read-optimized semantic knowledge. By automating transcript mining, deduplication, and staleness sweeps, it ensures your digital brain remains organized, high-quality, and highly retrievable, allowing you to focus on active work while the system handles the cognitive debt of organization.

主要功能

010 GitHub stars

02Intelligent deduplication and staleness sweeps for tasks and knowledge nodes

03Graph health monitoring with baseline measurements and structural maintenance

04Automated transcript mining to extract insights and decisions from past sessions

05Semanticization pipeline that transforms episodic notes into durable knowledge

06Strict provenance tracking to ensure all synthesized facts cite original sources

使用场景

01Maintaining a high-quality PKB by identifying and merging duplicate knowledge notes

02Converting a week of messy daily notes into structured Maps of Content (MOCs)

03Extracting patterns and decisions from session transcripts without manual review

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add nicsuzor/academicops sleep

For use in Claude.ai and ChatGPT