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KKenny0
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monthly

Split Daily Note.md into monthly archives and extract structured signals.

2|Updated Apr 11, 2026
Search Tags:#workflow#signals#summary#data-extraction#daily-notes#monthly#project-tagging
One-click install
npx skills add https://github.com/KKenny0/Lode --skill monthly-kkenny0
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: monthly
Source: https://github.com/KKenny0/Lode/tree/main/skills/monthly
Command: npx skills add https://github.com/KKenny0/Lode --skill monthly-kkenny0

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Monthly work consolidation from scattered Daily Note.md can be time-consuming and error-prone. This skill splits long daily logs into monthly archives, preserves the original records, and extracts structured signals to underpin fact-based monthly reviews.

Core Features & Use Cases

  • Monthly archiving: split Daily Note.md into {YYYY-MM}.md files without altering the original content.
  • Signal extraction: collect projects, modules, categories, tasks, risks, and next actions to enable targeted analysis.
  • Data skeletons: generate signals.json and skeleton.json for downstream agent reasoning and summary drafting.
  • Summary generation: draft a monthly summary (YYYY-MM.summary.md) grounded in raw notes and reference templates.
  • Use cases: prepare monthly work reviews, project progress insights, and performance materials from daily logs.

Quick Start

Run this skill on Daily Note.md to generate the monthly archive and the corresponding summary skeleton.

Frequently Asked Questions about monthly

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I consolidate daily notes into a monthly review summary?▼

To generate a monthly review, this skill splits Daily Note.md into {YYYY-MM}.md archives and extracts project signals to draft a grounded monthly summary file.

What is the best way to extract project signals from daily logs for reporting?▼

Extracting project signals from daily logs involves parsing raw notes to collect modules, categories, tasks, and risks into a structured signals.json file, enabling targeted agent-based analysis for reporting.

Can I archive daily notes into monthly files without altering the original content?▼

Yes, you can archive daily notes into monthly files without altering original content; the skill preserves the source Daily Note.md while generating separate structured outputs like skeleton.json for downstream use.

How do I generate a data skeleton for agent reasoning from daily notes?▼

Generating a data skeleton for agent reasoning requires parsing daily logs to produce skeleton.json and signals.json, capturing structured project tags and next actions to underpin fact-based monthly summaries.

Do I need to configure my knowledge vault before extracting monthly work summaries?▼

Yes, you need to configure your knowledge vault path before extraction; the skill requires this setup to locate Daily Note.md and correctly output monthly archives and summary files into the specified directories.

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