monthly-review
Generate a monthly retrospective by analyzing weekly reviews, long-term task progress, and deep Microsoft 365 productivity analytics via WorkIQ.
Skill by aymenfurter
Chalk Labs
Need help deploying monthly-review?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
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-monthly-review
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
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/monthly-review
What's inside
- Skill name
monthly-review- Description
- Generate a monthly retrospective by analyzing weekly reviews, long-term task progress, and deep Microsoft 365 productivity analytics via WorkIQ. Use when the user says: "monthly review", "month summary", "monthly retrospective", "summarize my month"
- License
- MIT
- Metadata
- verb: review
- Instructions
- 152 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Monthly Review Skill
Create a comprehensive monthly retrospective from weekly reviews, daily notes, and deep M365 analytics.
## Steps
### 1. Determine the Review Period
```bash
# Current month boundaries
YEAR=$(date +%Y)
MONTH=$(date +%m)
MONTH_NAME=$(date +%B)
START_DATE="${YEAR}-${MONTH}-01"
END_DATE=$(date +%Y-%m-%d)
echo "Monthly review: ${MONTH_NAME} ${YEAR} (${START_DATE} to ${END_DATE})"
```
### 2. Read All Weekly Reviews for This Month
```bash
ls /data/notes/weekly/*-weekly.md 2>/dev/null | while read f; do
FILE_DATE=$(basename "$f" | cut -d'-' -f1-3)
echo "=== Weekly Review: ${FILE_DATE} ==="
cat "$f"
echo ""
done
```
### 3. Read All Daily Notes for the Month
```bash
YEAR=$(date +%Y)
MONTH=$(date +%m)
ls /data/notes/daily/${YEAR}-${MONTH}-*.md 2>/dev/null | while read f; do
echo "=== $(basename $f .md) ==="
cat "$f"
echo ""
done
```
### 4. Consolidate Monthly Tasks
Across all daily notes for the month:
- Count total tasks created, completed, and abandoned
- Identify recurring themes in tasks
- Find tasks that persisted across multiple weeks (chronic open items)
- Track task velocity (tasks completed per week trend)
### 5. Fetch Deep Productivity Analytics via WorkIQ
```bash
workiq ask -q "Provide my detailed productivity analytics for $(date +%B) $(date +%Y): 1) Total meetings and hours, broken down by week, 2) Meeting-free time blocks (deep work hours), 3) Top 10 collaborators with interaction frequency, 4) Email volume trends (sent vs received per week), 5) Teams message activity, 6) Documents I created or edited, 7) My busiest and quietest days, 8) After-hours activity. Format as structured sections."
```
### 6. Fetch Goal and Project Progress via WorkIQ
```bash
workiq ask -q "Based on my activity this month ($(date +%B) $(date +%Y)), what topics and projects did I spend the most time on? Analyze my meetings, emails, Teams conversations, and document edits to identify my top 5 focus areas and estimate the relative time spent on each."
```
### 7. Read Topic Notes Updated This Month
```bash
find /data/notes/topics/ -name '*.md' -mtime -30 -exec basename {} .md \;
```
### 8. Compose the Monthly Review
Write to `/data/notes/monthly/<year>-<month>-monthly.md`:
```markdown
# Monthly Review: <Month Name> <Year>
## Month at a Glance
- **Days with notes**: X of Y workdays
- **Weekly reviews completed**: X
- **Total tasks created**: X
- **Total tasks completed**: X (Y%)
- **Total meetings**: X (Z hours)
## Key Accomplishments
- <major accomplishment from completed tasks and meetings>
- <accomplishment>
- <accomplishment>
## Focus Areas
| Area | Estimated Time | Trend |
|------|---------------|-------|
| <project/topic> | X hours | up/down/stable |
| <project/topic> | X hours | up/down/stable |
## Productivity Metrics
### Meetings
- **Total**: X meetings, Y hours
- **Weekly breakdown**: W1: Xh, W2: Xh, W3: Xh, W4: Xh
- **Deep work hours** (meeting-free blocks): X hours
### Communication
- **Emails**: X sent / Y received
- **Teams**: X messages
- **Top collaborators**: <name1>, <name2>, <name3>
### After Hours
- **After-hours activity**: X occurrences
- **Pattern**: <observation>
## Task Velocity
- **Week 1**: X created / Y completed
- **Week 2**: X created / Y completed
- **Week 3**: X created / Y completed
- **Week 4**: X created / Y completed
- **Trend**: improving / declining / stable
## Chronic Open Items
(Tasks open for 2+ weeks)
- [ ] <chronic task> -- open since <date>
## Topics and Knowledge AreasFrom aymenfurter/polyclaw, MIT.
More from aymenfurter/polyclaw
- 0.517score
web-search
aymenfurter
Search the web for information using Playwright browser automation.
SkillDFreshness: D★ 87Claude Code +9 - 0.517score
foundry-code-interpreter
aymenfurter
Create an ad-hoc Microsoft Foundry agent with Code Interpreter to analyze data, generate charts, solve math problems, or run Python code in a sandboxed…
SkillDFreshness: D★ 87Claude Code +9 - 0.517score
setup-foundry
aymenfurter
Provision a Microsoft Foundry resource, create a project, deploy a model (gpt-4.1-mini), and install the required Python SDK packages.
SkillDFreshness: D★ 87Claude Code +9 - 0.517score
gh-incidents
aymenfurter
List recent and active GitHub incidents from githubstatus.com.
SkillDFreshness: D★ 87Claude Code +9 - 0.517score
gh-maintenance
aymenfurter
Check upcoming and active scheduled maintenance windows for GitHub services.
SkillDFreshness: D★ 87Claude Code +9 - 0.517score
gh-status-check
aymenfurter
Check the current operational status of all GitHub services.
SkillDFreshness: D★ 87Claude Code +9 - 0.517score
daily-rollover
aymenfurter
Start a new day by rolling over unfinished tasks and preparing today's daily note.
SkillDFreshness: D★ 87Claude Code +9 - 0.517score
end-day
aymenfurter
Wrap up the day by fetching meeting summaries from Microsoft 365 via WorkIQ and updating today's daily note with outcomes and reflections.
SkillDFreshness: D★ 87Claude Code +9 - 0.517score
setup-workiq
aymenfurter
Install the WorkIQ CLI for Microsoft 365 integration.
SkillDFreshness: D★ 87Claude Code +9 - 0.517score
weekly-review
aymenfurter
Generate a weekly summary by consolidating daily notes, reviewing task completion, and pulling Microsoft 365 productivity analytics via WorkIQ.
SkillDFreshness: D★ 87Claude Code +9 - 0.517score
setup-wikipedia
aymenfurter
Install the wikipedia Python package for querying Wikipedia articles.
SkillDFreshness: D★ 87Claude Code +9 - 0.517score
wiki-deep-dive
aymenfurter
Retrieve the full content of a Wikipedia article, broken down by sections, with references and images.
SkillDFreshness: D★ 87Claude Code +9
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
More from aymenfurter
- 0.517score
foundry-code-interpreter
aymenfurter
Create an ad-hoc Microsoft Foundry agent with Code Interpreter to analyze data, generate charts, solve math problems, or run Python code in a sandboxed…
SkillDFreshness: D★ 87Claude Code +9 - 0.517score
setup-foundry
aymenfurter
Provision a Microsoft Foundry resource, create a project, deploy a model (gpt-4.1-mini), and install the required Python SDK packages.
SkillDFreshness: D★ 87Claude Code +9 - 0.517score
gh-incidents
aymenfurter
List recent and active GitHub incidents from githubstatus.com.
SkillDFreshness: D★ 87Claude Code +9 - 0.517score
gh-maintenance
aymenfurter
Check upcoming and active scheduled maintenance windows for GitHub services.
SkillDFreshness: D★ 87Claude Code +9 - 0.517score
gh-status-check
aymenfurter
Check the current operational status of all GitHub services.
SkillDFreshness: D★ 87Claude Code +9 - 0.517score
foundry-agent-chat
aymenfurter
Create an ad-hoc Microsoft Foundry agent for a specific purpose using the new v2 Responses API.
SkillDFreshness: D★ 87Claude Code +9
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
Get monthly-review running in your business
Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.
Cite this page
monthly-review skill. Agent Mart. https://agentmart.dev/skills/aymenfurter-monthly-review (last updated 2026-10-24)