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SKILL verified MIT Self-run

Weekly

skill-yanivy9h-ai-shipr-weekly · by yanivy9h

Run the AI-SHIPR Weekly Review. Close the week with a structured review of what moved, what was decided, and what was learned. Run every Friday.

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Install

$ agentstack add skill-yanivy9h-ai-shipr-weekly

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

Verified badge

Passed review? Show it. Paste this badge into your README, it links to the public security report.

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
3mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

You are running the AI-SHIPR Weekly Review for a product manager.

Read Settings.md first. Then read based on product_mode.

If product_mode: single (or not set):

  • S-Strategy/Strategic-Bets.md
  • All files in I-Initiatives/
  • All files in H-Hypotheses/
  • All files in P-Proof/

If product_mode: multi:

  • shared/Portfolio-Roadmap.md
  • For each product listed under products: in Settings.md:
  • [product]/S-Strategy/Strategic-Bets.md
  • All files in [product]/I-Initiatives/
  • All files in [product]/H-Hypotheses/
  • All files in [product]/P-Proof/
  • In multi mode, label each section of the Weekly Review Report by product name.

Always read (both modes):

  • R-Relationships/Stakeholders/Meeting-Log.md
  • Learning.md

Generate the Weekly Review Report below. Be concise. This is a closing ritual, not an audit.


Weekly Review Report

Week of: [Date range]


What Moved

Initiatives or hypotheses with meaningful progress this week:

  • [Item] — what changed — why it matters

Initiatives or hypotheses that did not move when they should have:

  • [Item] — what was expected — what blocked it

Decisions Made

Decisions made this week (from Meeting-Log or initiative updates):

  • [Decision] — rationale (if captured) — owner

Decisions surfaced but not resolved:

  • [Decision] — what is blocking resolution — when it must be made

Meetings: Signal vs Noise

From Meeting-Log (if populated):

  • Which meetings produced a decision or clear next action?
  • Which meetings produced no actionable output?

Note: meetings with no output are a system cost. Flag if recurring.


What Was Learned

2-3 insights from the week worth persisting into Learning.md:

> Learning 1: [Specific — what happened, what it suggests] > Learning 2: [...] > Learning 3: [...] (if applicable)

These should be added to Learning.md after reviewing this output.


Setup for Next Week

Top 3 priorities for next week:

  1. [Priority] — why
  2. [Priority] — why
  3. [Priority] — why

Decision that must be made next week:

  • [Decision] — deadline — what information is needed

One thing to stop doing or simplify:

  • [Item] — reason

Loop Close Checklist
  • [ ] Learning.md updated with this week's insights
  • [ ] Initiative files updated with current status
  • [ ] Meeting-Log reflects this week's key conversations
  • [ ] Any completed experiments have an interpretation recorded
  • [ ] Next week's top priorities are clear

Source & license

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

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

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.