weekly-setup-improvements

Audit recent work in a folder and produce a forward-looking self-improvement report.

What this skill does for you

Audit recent work in a folder and produce a forward-looking self-improvement report. Reviews files modified in the past week, git activity, file-type distribution, and recurring task patterns; writes a 5-section weekly-setup-improvements.md with concrete updates for context files, ideas for new skills, workflow gaps to close, files to clean up, and what's working well enough to leave alone. Cross-platform; safe to schedule weekly via /schedule. Use when: 'weekly review', 'weekly self audit', 'improve my setup', 'what should I clean up', 'suggest new skills', 'self improvement loop', 'weekly setup improvements', or before a planning week.

Quoted from the skill description in the pinned source

Who made it

Publisherngmeyer

Repositoryskills

Installs288as of Sep 27, 2026

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the weekly-setup-improvements skill from ngmeyer/skills.

Paste it into Claude, ChatGPT, Codex or Cursor.

Or read the skill source first.

Security evidence

Security state at 2026-09-30: reviewed. State definitions. This records static evidence for this revision; live load eligibility is checked again.

3 static scans, 0 counted findings. The listed scanners recorded the results shown for this package revision.

Scanner	Date	Result
Edge static checks	2026-09-27	Pass
Cisco skill-scanner	2026-09-27	Pass
Semgrep Edge rules	2026-09-27	Pass

Static scans check the code, not how well the skill works.

Scanner scope, raw findings and mirrored provider records

Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: 701dfb8bd2ffe22f6aeccc310b6eea3b20462bf1. Raw findings: . Counted findings: .

Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: 701dfb8bd2ffe22f6aeccc310b6eea3b20462bf1. Raw findings: 1. Counted findings: .

Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: 701dfb8bd2ffe22f6aeccc310b6eea3b20462bf1. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/ngmeyer/skills
Pinned skill file: View source at revision
Revision: 701dfb8bd2ffe22f6aeccc310b6eea3b20462bf1
Package hash: sha256:a81de6ce79ea1a932fef123ec9344003bcdeaf03fbe1dbd8380958ab49611f29
Licence: MIT