wrap-up – Agents & Automation skill for AI agents
Close out a launched Claude Managed Agent — recap every primitive the founder now owns, regenerate the single-file overview page, and suggest the next 1-2 upgrades. Use when the user says "wrap up", "close this out", "what do I own now", "give me the summary", "recap the agent", or when the orchestrator routes phase=wr
Install the wrap-up skill with one command
Pick the tool you use, copy the command and paste it in your terminal. The skill lands in that tool's skills folder and is ready in your next session.
Claude Code
mkdir -p ~/.claude/skills && curl -fsSL https://skill.dn1nguoi.com/z/wrap-up-a4f47.tgz | tar xz -C ~/.claude/skills
Call it in Claude Code: /wrap-up – then describe the task you want done.
Codex
mkdir -p ~/.codex/skills && curl -fsSL https://skill.dn1nguoi.com/z/wrap-up-a4f47.tgz | tar xz -C ~/.codex/skills
Call it in Codex: $wrap-up – then describe the task you want done.
Hermes Agent
mkdir -p ~/.hermes/skills && curl -fsSL https://skill.dn1nguoi.com/z/wrap-up-a4f47.tgz | tar xz -C ~/.hermes/skills
Call it in Hermes Agent: /wrap-up – then describe the task you want done.
DeepSeek
mkdir -p ~/.deepcode/skills && curl -fsSL https://skill.dn1nguoi.com/z/wrap-up-a4f47.tgz | tar xz -C ~/.deepcode/skills
Call it in DeepSeek: /wrap-up – then describe the task you want done.
SKILL.md content
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
scripts/primitives_inventory.py— recap every owned primitive.scripts/overview_page.py— regenerate single-file agent-overview.html.scripts/upgrade_suggester.py— next 1–2 upgrades with mechanisms.
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