TaylorHuston

weekly-review

23
2
# Install this skill:
npx skills add TaylorHuston/local-life-manager --skill "weekly-review"

Install specific skill from multi-skill repository

# Description

Weekly review and planning session. Use at end of week or weekend to review progress, plan next week, and set priorities. Triggers on "weekly review", "plan my week", "what did I do this week", "Sunday planning".

# SKILL.md


name: weekly-review
description: Weekly review and planning session. Use at end of week or weekend to review progress, plan next week, and set priorities. Triggers on "weekly review", "plan my week", "what did I do this week", "Sunday planning".
model: claude-opus-4-5-20251101
allowed-tools: Read, Write, Edit, Glob, Bash(gh:, date:)


Run a weekly review and planning session. Keep it conversational - one section at a time.

Step 0: Get Week Info

date +%Y-%m-%d        # Today
date +%Y-W%V          # Current ISO week
date -d "last sunday" +%Y-%m-%d  # Week start (for lookback)

Step 1: Weekly Note Setup

  1. Check if this week's note exists: my-vault/02 Calendar/YYYY-Www.md
  2. If not, create from 09 System/Templates/Weekly Template.md
  3. Replace Templater placeholders with actual dates
  4. The week note format is YYYY-[W]ww (e.g., 2026-W03)

Step 2: Journal Completeness Check

Critical: Verify all 7 days have journal entries and content.

# List last 7 days' journal files
for i in {0..6}; do
  d=$(date -d "$i days ago" +%Y-%m-%d)
  f="my-vault/02 Calendar/$d.md"
  if [[ -f "$f" ]]; then
    lines=$(wc -l < "$f")
    echo "$d: EXISTS ($lines lines)"
  else
    echo "$d: MISSING"
  fi
done

For each existing entry, check if sections are filled in:
- "# What Did I Do?" - should have content
- "# What Did I Work On?" - should have content
- "# What Did I Study?" - optional but note if empty

Report gaps: "These days are missing entries: ..." or "These entries look empty: ..."
Offer to fill in: "Want me to check GitHub for commits on those days to help fill them in?"

Step 3: Review the Week

GitHub Activity (all week)

gh search commits --author=TaylorHuston --committer-date=YYYY-MM-DD..YYYY-MM-DD --limit=50

Summarize by project/repo.

Journal Highlights

Read each day's journal and extract:
- Personal: From "What Did I Do?"
- Technical: From "What Did I Work On?"
- Learning: From "What Did I Study?"

Present as a brief week summary, not raw dump.

Learning Progress

  1. Check .claude/learning-sessions/learning-plan.json if exists
  2. Note topics covered, sessions completed

Project Progress

  1. Scan ideas/*/issues/ for any WORKLOG.md updates this week
  2. Note completed tasks, status changes

Step 4: Fill In Weekly Note

Update the weekly note (my-vault/02 Calendar/YYYY-Www.md) sections:
- What Went Well: Ask Taylor
- What Didn't Go Well: Ask Taylor
- Key Accomplishments: Summarize from review
- Lessons Learned: Ask Taylor

Step 5: Plan Next Week

Ask Taylor (one at a time):
1. "Any interviews or job search priorities this week?"
2. "What's the one thing that would make next week a success?"
3. "Any personal commitments to work around?"

Fill in "Next Week's Focus" section with their answers.

Step 6: Memory Capture

Review conversation for memory-worthy items:
- Job search updates
- New preferences or workflow changes
- Project decisions
- Personal context changes

Update .claude/memories/about-taylor.md if job status or major context changed.

Conversational Flow

Don't dump everything at once. Flow should be:
1. "Let me check your journal entries for this week..." β†’ Report gaps
2. "Here's what I found from your week..." β†’ Brief summary
3. "What went well this week?" β†’ Capture response
4. "What didn't go well?" β†’ Capture response
5. "Any lessons learned?" β†’ Capture response
6. "Looking ahead - any job search priorities?" β†’ Plan next week
7. "What would make next week a success?" β†’ Set focus
8. "I've updated your weekly note. Anything else?"

# Supported AI Coding Agents

This skill is compatible with the SKILL.md standard and works with all major AI coding agents:

Learn more about the SKILL.md standard and how to use these skills with your preferred AI coding agent.