What is the Sleep Cycle in AcademicOps?

The Sleep Cycle is an automated agent session that runs periodically to transform episodic session data into long-term semantic knowledge within your PKB.

Can I run the consolidation process manually?

Yes, you can trigger the process at any time using the /sleep command or by manually running the GitHub Actions workflow.

Does this skill modify my original notes?

No. The skill follows a 'preserve episodic originals' rule, only adding metadata to frontmatter to track consolidation status while leaving the original content intact.

How does transcript mining work?

It scans recent session transcripts to identify extractable insights, decisions, and facts, creating new knowledge notes with citations to the original source.

What tools does the Sleep Cycle use?

It utilizes a comprehensive suite of PKB tools for searching, graph metrics, node merging, and memory creation to maintain knowledge graph integrity.

AcademicOps Sleep Cycle

Name: AcademicOps Sleep Cycle
Author: nicsuzor

bynicsuzor

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생산성 및 워크플로

Orchestrates periodic knowledge consolidation by transforming raw session logs and episodic notes into a structured, semantic Personal Knowledge Base.

The Sleep Cycle skill acts as an automated maintenance agent for your Personal Knowledge Base (PKB). Inspired by biological memory consolidation, it periodically processes raw transcripts, daily notes, and completed tasks to extract insights and generate 'evergreen' knowledge. It ensures your documentation remains high-quality and retrievable by performing graph health checks, deduplicating entries, and sweeping for staleness. Whether running as a background cron job or triggered manually via /sleep, it transforms write-optimized session data into read-optimized knowledge that agents and users can actually use.

주요 기능

01Data Quality Reconciliation: Identifies and merges duplicate entries while maintaining strict provenance and citation chains.

02Episodic to Semantic Transformation: Converts temporal notes and task bodies into decontextualized, long-term semantic knowledge.

03Transcript Mining: Automatically extracts decisions and patterns from past session logs to create durable knowledge notes.

04Automated Graph Maintenance: Monitors node health, identifies orphans, and tracks graph density metrics.

05Staleness Sweeping: Detects under-specified tasks and stale documentation to keep the workspace organized and relevant.

060 GitHub stars

사용 사례

01Managing documentation debt by systematically identifying orphans and outdated project files.

02Extracting long-term insights and patterns from high-volume project transcripts and daily session logs.

03Automating the maintenance of a complex Personal Knowledge Base (PKB) without manual effort.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add nicsuzor/academicops sleep

For use in Claude.ai and ChatGPT