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Wrap Up

  • 84 installs
  • 2.8k repo stars
  • Updated August 3, 2026
  • rohitg00/pro-workflow

Helps with ai & agent building tasks during AI-assisted development.

About

wrap-up is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted coding.

  • wrap-up
  • AI & Agent Building
  • AI-coding skill

Wrap Up by the numbers

  • 84 all-time installs (skills.sh)
  • +12 installs in the week ending Jul 26, 2026 (Skillselion tracking)
  • Ranked #5,072 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/rohitg00/pro-workflow --skill wrap-up

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Listed on Skillselion
Installs84
repo stars2.8k
Last updatedAugust 3, 2026
Repositoryrohitg00/pro-workflow

What it does

Helps with ai & agent building tasks during AI-assisted development.

Files

SKILL.mdMarkdownGitHub ↗

Wrap-Up Ritual

End your coding session with intention.

Trigger

Use when ending a session, saying "wrap up", "done for now", or before closing the editor.

Workflow

1. Changes Audit — What files were modified? Anything uncommitted? TODOs left in code? 2. Quality Check — Run lint, typecheck, and tests. All passing? Any warnings? 3. Learning Capture — What mistakes were made? What patterns worked well? Format as [LEARN] Category: Rule 4. Next Session Context — What's the next logical task? Any blockers? Context to preserve? 5. Summary — One paragraph: what was accomplished, current state, what's next.

Commands

git status
git diff --stat

npm run lint 2>&1 | head -20
npm run typecheck 2>&1 | head -20
npm test -- --changed --passWithNoTests

Learning Categories

Navigation, Editing, Testing, Git, Quality, Context, Architecture, Performance

Guardrails

  • Do not skip any checklist step.
  • If tests are failing, flag before ending session.
  • If uncommitted changes exist, ask whether to commit or stash.

Output

  • Modified file list with uncommitted changes highlighted
  • Quality gate results
  • Captured learnings (if any)
  • One-paragraph session summary
  • Next session resume context

After completing checklist, ask: "Ready to end session?"

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