weekly-review
Generate a weekly summary by consolidating daily notes, reviewing task completion, and pulling Microsoft 365 productivity analytics via WorkIQ.
Skill by aymenfurter
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/aymenfurter-weekly-review
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About
Use cases: data, productivity
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/weekly-review
What's inside
- Skill name
weekly-review- Description
- Generate a weekly summary by consolidating daily notes, reviewing task completion, and pulling Microsoft 365 productivity analytics via WorkIQ. Use when the user says: "weekly review", "week summary", "summarize my week", "weekly recap"
- License
- MIT
- Metadata
- verb: review
- Instructions
- 113 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Weekly Review Skill
Produce a comprehensive weekly summary from daily notes, tasks, and Microsoft 365 analytics.
## Steps
### 1. Determine the Review Period
Calculate the date range for the past 7 days:
```bash
END_DATE=$(date +%Y-%m-%d)
START_DATE=$(date -v-7d +%Y-%m-%d 2>/dev/null || date -d "7 days ago" +%Y-%m-%d)
echo "Review period: ${START_DATE} to ${END_DATE}"
```
### 2. Read All Daily Notes for the Period
```bash
for i in $(seq 0 6); do
DAY=$(date -v-${i}d +%Y-%m-%d 2>/dev/null || date -d "${i} days ago" +%Y-%m-%d)
if [ -f /data/notes/daily/${DAY}.md ]; then
echo "=== ${DAY} ==="
cat /data/notes/daily/${DAY}.md
echo ""
fi
done
```
### 3. Consolidate Tasks Across the Week
From all daily notes:
- Collect all tasks that were **completed** (`- [x]`)
- Collect all tasks that are **still open** (`- [ ]`)
- Identify tasks that appeared multiple days (stuck/recurring)
- Count total tasks created vs completed
### 4. Fetch Weekly Meeting Analytics via WorkIQ
```bash
workiq ask -q "Provide my meeting analytics for the past 7 days (from $(date -v-7d +%Y-%m-%d 2>/dev/null || date -d '7 days ago' +%Y-%m-%d) to $(date +%Y-%m-%d)): 1) Total number of meetings, 2) Total hours in meetings, 3) Meetings I organized vs attended, 4) Recurring vs one-off meetings, 5) Which days were heaviest/lightest. Format as structured data."
```
### 5. Fetch Collaboration Analytics via WorkIQ
```bash
workiq ask -q "Who were the top 5 people I collaborated with most this past week (from $(date -v-7d +%Y-%m-%d 2>/dev/null || date -d '7 days ago' +%Y-%m-%d) to $(date +%Y-%m-%d))? Include meetings, emails, and Teams interactions. Also tell me how many emails I sent vs received, and how many Teams messages I sent."
```
### 6. Read Topic Notes for Changes
```bash
find /data/notes/topics/ -name '*.md' -mtime -7 -exec basename {} .md \;
```
### 7. Compose the Weekly Review
Write the review to `/data/notes/weekly/<end-date>-weekly.md`:
```markdown
# Weekly Review: <start-date> to <end-date>
## Week at a Glance
- **Days with notes**: X of 7
- **Tasks created**: X
- **Tasks completed**: X (Y%)
- **Meetings attended**: X (Z hours)
## Key Accomplishments
- <accomplishment derived from completed tasks and meeting outcomes>
- <accomplishment>
## Meeting Summary
- **Total meetings**: X
- **Total hours**: Y
- **Busiest day**: <day>
- **Lightest day**: <day>
## Collaboration
- **Top collaborators**: <names with interaction counts>
- **Emails**: X sent / Y received
- **Teams messages**: X sent
## Open Items
- [ ] <task still incomplete>
- [ ] <task still incomplete>
## Stuck Items
(Tasks that appeared in 3+ daily notes without completion)
- [ ] <stuck task>
## Topics Updated This Week
- <topic 1>
- <topic 2>
## Focus Areas for Next Week
- <suggestion based on open items and patterns>
```
### 8. Save the Review
```bash
END_DATE=$(date +%Y-%m-%d)
mkdir -p /data/notes/weekly
```
Write to `/data/notes/weekly/${END_DATE}-weekly.md`.
### 9. Summary
Present the review highlights to the user in a concise format.From aymenfurter/polyclaw, MIT.
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Signals
- Stars
- 87
- Forks
- 19
- Open issues
- 1
- Last commit (this folder)
- Feb 15, 2026 (8 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/aymenfurter/polyclaw
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
weekly-review skill. Agent Mart. https://agentmart.dev/skills/aymenfurter-weekly-review (last updated 2026-10-24)