Phase 2 — Stage → Launch
SkillCloud & infraThis skill handles the launch step for a Claude managed agent: it turns a validated build sheet into the exact API payloads and a launch script needed to deploy, using your own Anthropic key. The launch runs in order through environment, agent, session, and kickoff, and the script can be resumed if it stops partway. Once added, your AI can take a finished build sheet and deploy the agent for you.
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
Have your validated build sheet and Anthropic key ready, then ask your AI to launch the agent. If the launch stops partway, ask it to resume from where it left off.
Then ask your AI: use the Phase 2 skill
What your AI can do with it
- Turn a validated build sheet into the exact API payloads needed to deploy
- Create a launch script that can be resumed if it stops partway
- Deploy a Claude managed agent with your own Anthropic key
- Launch in sequence: environment, agent, session, then kickoff
- Pick up an interrupted launch where it left off
What this skill tells your AI
The instructions your AI receives, as published by alirezarezvani/claude-skills in .gemini/skills/stage-launch/SKILL.md and read by ahel’s review.
Turn the build sheet into runnable artifacts, then let the founder launch with
their own key. No script here touches the network or the key — the user runs
launch.sh.
Workflow
- Generate payloads.
Agent toolset →python3 scripts/payload_generator.py \ --sheet ./my-agent/build-sheet.json --out-dir ./my-agent # -> ./my-agent/payloads/{01-environment,02-agent,03-session,04-kickoff}.jsonalways_allow; every MCP toolset →always_ask(baked into the agent payload'spermission_policies). - Write the launch script.
python3 scripts/launch_script_writer.py --out-dir ./my-agentlaunch.shcreates environment → agent → session → kickoff in order, chaining IDs, and resumes on re-run (each step skips if its*.idfile exists). It reads$ANTHROPIC_API_KEYat runtime. - Validate before launch.
FAIL blocks — especially apython3 scripts/payload_validator.py --dir ./my-agentkey_leakfinding. Fix and re-run. - Minimal key step (never in chat). Check the shell first:
Point the founder to platform.claude.com → API keys. Never print the key to chat, never write it to a file.[ -n "$ANTHROPIC_API_KEY" ] && echo "key present" || echo "export ANTHROPIC_API_KEY=... first" - Launch + watch the first poll.
Mark checkpoints with Console deep links. Thenexport ANTHROPIC_API_KEY=... # in their shell, not in chat ./my-agent/launch.shgoal_state.py set --phase grade-iterateand advance.
Hard rules (API-key safety)
- The key never enters chat, a file, a payload, or a log.
launch.shreads it from the environment;payload_validator.pyscans forsk-ant-…leaks and FAILs. - Sequential launch. environment → agent → session → kickoff. Watch the first poll foreground before declaring success.
- Resumable. Re-running
launch.shcontinues from the last created ID.
Forcing-question library (recommend + cite)
- "Is the key in your shell env already?" Recommend: check
$ANTHROPIC_API_KEYbefore anything. Cite: this SKILL, key-safety rules. - "Cloud or self-hosted environment?" Recommend: cloud for v0. Cite: cma-primitives.md (environment).
- "Any MCP server in the payload?" Recommend: keep it
always_ask. Cite: cma-primitives.md (permissions). - "Did the first poll return idle/running cleanly?" Recommend: watch it foreground before moving on. Cite: cma-primitives.md (session lifecycle).
Tools
scripts/payload_generator.py— build sheet → 4 ordered API payloads.scripts/launch_script_writer.py— resumable BYOK curl launcher (no key handling).scripts/payload_validator.py— pre-launch check + API-key-leak scan.
Signals
- GitHub stars
- 27k
- Forks
- 4k
- Last commit
- Aug 2026
Advanced
- Item type
- skill
- Key
stage-launch- Source
- github.com/alirezarezvani/claude-skills
github.com/alirezarezvani/claude-skills
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