What is cog-weekly-reflection for?

It performs a weekly check-in by analyzing personal, professional, and project domain patterns to surface cross-domain connections and actionable insights.

What outputs does it produce?

A weekly check-in entry saved under 01-daily with cross-domain patterns, actionable insights, and confidence levels, plus a git-commit record.

What tools does it use and how do I run it?

It uses file-read, file-search, file-write, and git-commit. Load four vault sections, surface related entries, analyze domains, synthesize connections, and save the weekly reflection.

cog-weekly-reflection

Scanned

npx machina-cli add skill a5c-ai/babysitter/weekly-reflection --openclaw

Files (1)

SKILL.md

1.3 KB

COG Weekly Reflection Skill

Perform weekly check-in with cross-domain pattern analysis spanning personal, professional, and project domains.

Capabilities

Gather and analyze the past week's vault entries across all sections
Identify patterns in personal domain (energy, mood, productivity)
Identify patterns in professional domain (skills, career, industry)
Identify patterns in project domain (velocity, blockers, progress)
Synthesize cross-domain connections
Generate actionable insights with confidence levels
Quality-gated reflection with iterative refinement

Tool Use Instructions

Use file-read to load entries from 01-daily, 02-personal, 03-professional, 04-projects
Use file-search to find related entries across sections
Analyze patterns within each domain independently
Synthesize cross-domain connections
Use file-write to create weekly check-in in 01-daily
Add cross-references to identified patterns
Use git-commit to commit reflection

Examples

{
  "vaultPath": "./cog-vault",
  "mode": "weekly-checkin",
  "userName": "Alex",
  "rolePack": "engineer",
  "targetQuality": 80
}

Source

git clone https://github.com/a5c-ai/babysitter/blob/main/plugins/babysitter/skills/babysit/process/methodologies/cog-second-brain/skills/weekly-reflection/SKILL.md

View on GitHub

Overview

Cog-weekly-reflection performs a weekly check-in by analyzing patterns across personal, professional, and project domains using vault entries from 01-daily, 02-personal, 03-professional, and 04-projects. It identifies domain-specific patterns, synthesizes cross-domain connections, and outputs actionable insights with confidence levels, enabling iterative refinement.

How This Skill Works

Load the week's entries with file-read, search for related entries across sections using file-search, then analyze patterns within each domain independently. Synthesize cross-domain connections and generate actionable insights with confidence levels, finally saving the weekly check-in via file-write to 01-daily and recording the changes with git-commit.

When to Use It

End-of-week reflection to capture energy, mood, and productivity patterns
Preparing a personal or career development plan based on recent trends
Diagnosing project velocity, blockers, and progress for the upcoming sprint
Uncovering cross-domain links such as how mood affects performance or blockers
Producing an audit-ready weekly summary with confidence-weighted insights

Quick Start

Step 1: Use file-read to load 01-daily, 02-personal, 03-professional, 04-projects entries
Step 2: Use file-search to surface related entries across sections
Step 3: Analyze per-domain patterns, synthesize cross-domain insights, then use file-write and git-commit to save and record

Best Practices

Ensure all four vault sections (01-daily, 02-personal, 03-professional, 04-projects) are loaded for a complete view
Use file-search to surface related entries across sections before analysis
Analyze each domain independently before synthesizing cross-domain connections
Attach a confidence level to every insight and iteratively refine
Include cross-references to identified patterns in the weekly write-up and commit

Example Use Cases

An engineer notes Friday energy drop linked to late coding sessions; adjusts sprint planning and breaks
Professional skills gap identified with industry trend; plans targeted upskilling and mentorship
Project backlog increases blockers; recommends re-prioritization and resource adjustment
Personal-mood patterns align with collaborative blockers; results in revised communication cadences
Actionable weekly insights with clear next steps and confidence levels for executive review

Frequently Asked Questions

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