# Weekly Review

> Weekly performance review - analyze progress, extract patterns, plan next week

- **Type:** Skill
- **Install:** `agentstack add skill-onurpolat05-alba-weekly-review`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [onurpolat05](https://agentstack.voostack.com/s/onurpolat05)
- **Installs:** 0
- **Category:** [AI & ML](https://agentstack.voostack.com/c/ai-and-ml)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [onurpolat05](https://github.com/onurpolat05)
- **Source:** https://github.com/onurpolat05/ALBA/tree/main/.claude/skills/weekly-review

## Install

```sh
agentstack add skill-onurpolat05-alba-weekly-review
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# /weekly-review - Weekly Performance Review

Structured weekly review: gather data, present summary, ask questions, save review.

## Process

### 1. Gather Data (silent - don't show raw data)

Read these files:
- `memory/state/dashboard.md` - current priorities and status
- `memory/state/todo.md` - task completion
- `memory/knowledge/learnings.md` - this week's entries (by date)
- `memory/knowledge/errors.md` - this week's errors (by date)
- `memory/daily/` - scan for this week's session logs (Mon-Sun)

Extract:
- Tasks completed: count `[x]` items from dailies + todo
- Tasks added: count new `[ ]` items
- Learnings recorded this week
- Errors encountered and resolved
- Open blockers from dashboard

### 2. Present Draft

Show a concise draft:

```
Week Review: YYYY-Www (Mon DD - Sun DD)

Completed: X tasks
- [top 3-5 completed items]

Learnings: Y new
- [list if any]

Errors: Z encountered, W resolved
- [list if any]

Open Blockers:
- [from dashboard, if any]
```

### 3. Ask 3 Questions (one at a time)

**Q1:** "Does this look right? Anything to add or fix?"
**Q2:** "What went well this week?"
**Q3:** "Top 3 priorities for next week?"

Keep questions short. Accept brief answers.

### 4. Save Review

Write to `memory/state/weekly-reviews/YYYY-Www.md`:

```markdown
# Week YYYY-Www

## Summary
- Days active: [count from daily logs]
- Tasks completed: [count]
- New learnings: [count]

## Completed
- [Items from draft + Q1 corrections]

## What Went Well
- [From Q2]

## Learnings
- [This week's entries]

## Blockers
- [Open items]

## Next Week Priorities
1. [From Q3]
2. [From Q3]
3. [From Q3]
```

### 5. Update Dashboard

- Replace/update priority section in `memory/state/dashboard.md` with next week's priorities from Q3
- Keep existing project info, only update priorities

### 6. Archive Check

If `memory/state/weekly-reviews/` has more than 4 review files:
- Suggest: "You have [N] weekly reviews. Archive older ones? (I'll move them to memory/state/weekly-reviews/archive/)"
- Only archive if user agrees

## Output

End with a 3-line confirmation:

```
Review saved: memory/state/weekly-reviews/YYYY-Www.md
Dashboard updated with next week priorities.
[If archive suggested: "Consider archiving old reviews with /extend"]
```

## Rules

- Keep the review file under 60 lines
- Don't generate fake data - if no daily logs exist, say "No session logs found for this week"
- Use ISO week numbers (W01-W52)
- Create `memory/state/weekly-reviews/` directory if it doesn't exist
- Match the user's language from CLAUDE.md
- This is a reflection tool, not a performance evaluation - keep tone neutral and constructive

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [onurpolat05](https://github.com/onurpolat05)
- **Source:** [onurpolat05/ALBA](https://github.com/onurpolat05/ALBA)
- **License:** MIT

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-onurpolat05-alba-weekly-review
- Seller: https://agentstack.voostack.com/s/onurpolat05
- Browse the marketplace: https://agentstack.voostack.com/browse

---
Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.