Close out (or revisit) a Claude Managed Agent build — refresh the overview page, recap every primitive the founder now owns, show the run log and live status, suggest 1–2 tailored next upgrades, and sweep hygiene (sessions archived, key only in .env, no literal dates in deployment kickoffs). Use when the founder says "/wrap-up", "wrap up", "close it out", "where do things stand with my agent", or at the end of a /launch-your-agent build.
npx skills add https://github.com/anthropics/launch-your-agent --skill wrap-up
<!-- Copyright 2026 Anthropic PBC -->
<!-- SPDX-License-Identifier: Apache-2.0 -->
You are closing out (or checking in on) a founder's Claude Managed Agent. The tone is celebratory: they just shipped a managed agent that runs without them — say so, warmly, in one or two sentences ("🎉 you've shipped a managed agent — here's what you built"), then show them what they own and the one or two upgrades worth doing next. End on the overview page, not a wall of text. This is a moment, not a checklist read-out.
Follow the same voice rules as /launch-your-agent: warm, compact, tables for anything enumerable, primitives called by their real names (Outcome, Session, Deployment, Vault, Memory store) with a plain gloss on first use, the shared emoji shorthand (🤖 agent · 📦 environment · 🎯 outcome · ▶️ session · 🗓️ deployment · 🔌 connector · 🔐 vault · 🧠 memory store · 🧪 evals), no unverified timings. No cost notes — don't volunteer per-run or per-month spend figures; answer cost questions only if the founder asks.
./my-agent/: build-sheet.json, IDS.env, NEXT-DIRECTIONS.md, outcome.md, evals/, the existing agent-overview.html. (If there is no my-agent/ folder here, say so and stop — point them at /launch-your-agent.)my-agent/.env holds a key, source it and refresh live state via the API (shapes: ../launch-your-agent/references/cma-api.md): each session's status + outcome_evaluations[], deployment status + schedule.upcoming_runs_at, latest usage. Parse with python (strict=False), never jq..env.running → say so and ask (AskUserQuestion): wait for it, or wrap with what's done.agent-overview.html (template: ../launch-your-agent/references/overview-template.html; styling in the sibling overview.css, linked, never inlined). The page already exists from the build — Edit only the slots that changed (status pill, top-bar IDs/stat cells, run-log <tbody> rows, eval verdicts, schedule with next run times, Console links for the key's workspace, the v1/v2 next directions) rather than re-Writing the whole file. If either agent-overview.html or my-agent/overview.css is missing, cp the CSS from the launch-your-agent skill's references/ first, then Write the HTML once. Open it in their browser — the page is the closing artifact; the chat below just points at it.always_ask-gated), a memory store if runs repeat themselves, wiring a mocked connector for real, and — when it suits how they'll actually use the agent — a generated interface: a page or small app Claude Code builds for them in a follow-up session, shaped to the need (graphical output for results that want charts, a results viewer that pulls outputs and verdicts via the Files/Sessions API, or a simple way to interact with the agent — kick off a run, steer it, answer its confirmations).initial_events for literal dates; check the key only ever lived in .env; save a passed run as evals/case-01/expected.md if there's no golden case yet) and fix silently what you can. Only mention something if it's materially relevant — i.e. the founder must act (a key that touched chat → rotate; a literal date you can't patch without their say-so) or it changes how they use the agent. No "✅ all good" lists.LAUNCH.md), and they can rerun /wrap-up whenever they want a fresh picture./launch-your-agent (or a plain conversation) afterwards.Skill converted from mcp-deploy-manage-agents.prompt.md
Use this skill when the user wants to launch a new AltClaw, OpenClaw, PicoClaw, or Ottie deployment through Cloud Claw. Covers the same user-facing fields and constraints exposed in the Cloud Claw UI, using the local altllm cloud-claw-* commands. Do NOT use for post-launch lifecycle tasks like start/stop/delete/logs; use cloud-claw-manage-vm.
Build hosted agents using Azure AI Projects SDK with ImageBasedHostedAgentDefinition. Use when creating container-based agents in Azure AI Foundry.
Build MCP (Model Context Protocol) servers on Cloudflare Workers with tools, resources, and prompts.
Chain agent outputs as inputs in sequential or parallel pipelines for data flow orchestration
Audit cloned or reimplemented websites for fidelity gaps, tracking scripts, source-brand and language residue, placeholders, and risky external dependencies. Use before handoff or deployment, or when asked to review a website clone for cleanup and readiness.
> Install and operate Hermes Tweet, a Hermes Agent plugin for X/Twitter research, timeline reading, tweet analysis, and approval-gated tweet actions. Use this skill when installing Hermes Tweet, researching X/Twitter accounts, monitoring launch signals, investigating mentions, auditing giveaways, or preparing guarded tweet actions. Use proactively when a Hermes Agent workflow needs current X/Twitter context. Requires XQUIK_API_KEY for read and action tools.
Handles LLM-as-judge evaluation workflows on Arize including creating/updating evaluators, running evaluations on spans or experiments, managing tasks, trigger-run operations, column mapping, and continuous monitoring. Use when the user mentions create evaluator, LLM judge, hallucination, faithfulness, correctness, relevance, run eval, score spans, score experiment, trigger-run, column mapping, continuous monitoring, or improve evaluator prompt.
Take anthropics/wrap-up from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.