Skills

Wrap Up

Use when closing out a launched managed agent ('wrap up', 'what do I own now').

Install

npx skills add alirezarezvani/claude-skills --skill wrap-up -g -a claude-code -y
Category
AI and agents
Updated
4d ago
License
MIT
Context cost
Lightabout 533 tokens
Runs scripts
Yes, review before use

What it does

Use when closing out a launched managed agent ('wrap up', 'what do I own now'). Inventories primitives with primitives_inventory.py, regenerates the overview with overview_page.py and suggests next upgrades with upgrade_suggester.py.

Wrap-up, close it out

The explicit close-out. Confirm what's live, regenerate the shareable overview, and name the next 1, 2 upgrades so the founder leaves with a clear roadmap. The ./my-agent/ folder keeps working after the session ends.

Workflow

  1. Inventory what they own.
    python3 scripts/primitives_inventory.py \
      --sheet ./my-agent/build-sheet.json --goal ./my-agent/goal.json
    
    Tables agent / environment / session / memory / outcome / deployment and the phases completed.
  2. Regenerate the overview page.
    python3 scripts/overview_page.py \
      --sheet ./my-agent/build-sheet.json --out-dir ./my-agent \
      --status live --loop-shape cron-loop --last-verdict satisfied
    
    Self-contained agent-overview.html (inline CSS, theme-aware, no external assets), shareable as-is.
  3. Suggest the next moves.
    python3 scripts/upgrade_suggester.py --sheet ./my-agent/build-sheet.json --top 2
    
    Ranks recorded deferrals (v1 before v2, real-integration first) plus standing hardening (tighten networking, pin the agent version, nest an outcome).
  4. Finalize. Ensure NEXT-DIRECTIONS.md is current (Phase-4 tool), then goal_state.py advance → phase=done.

Hard rules

  • Recap what's actually live, read it from the sheet + goal state, never assert primitives that weren't created.
  • The overview is single-file, no external assets, so it shares cleanly.
  • Every next move names the exact mechanism.

Forcing-question library (recommend + cite)

  1. "Confirm what's live vs still a plan?" Recommend: inventory from the sheet. Cite: this SKILL.
  2. "Which single upgrade has the highest payoff?" Recommend: the top-ranked v1 deferral. Cite: upgrade_suggester ranking.
  3. "Is the overview page current?" Recommend: regenerate after any change. Cite: this SKILL.

Tools

Read the whole SKILL.md on GitHub

More in AI and agents