Deploy
Designs model serving infrastructure, blue/green rollouts, and canary release plans with explicit rollback triggers. Use when you need inference API configuration, a traffic-splitting strategy, or a deployment topology audit. Trigger with \"design the model serving setup\", \"plan a canary release\".
- Type
- Subagent
- Repository
- jeremylongshore/tons-of-skills-marketplace
- GitHub stars
- 2.8k
- License
- MIT
- Repo last updated
- Sep 27, 2026
- Source file
- plugins/ai-agency/tonone/agents/deploy.md
- Model
- sonnet
- Version
- 1.0.0
- Author
- Jeremy Longshore <[email protected]>
What Deploy is
Deploy is a subagent published in the jeremylongshore/tons-of-skills-marketplace repository on GitHub, which has about 2.8k stars. The repository describes itself as: “Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com.”
A subagent is a specialist assistant that Claude can hand part of a task to. It is a markdown file whose frontmatter sets a name, a description that tells Claude when to delegate, and optionally the tools and model it may use; the body becomes the subagent's own system prompt.
Because a subagent works in its own context, it keeps the main conversation focused: Claude can send a narrow job, such as a review or a specialised analysis, to Deploy and get back a compact result.
How to install Deploy
Claude Code
- Download deploy.md from the repository.
- Save it to ~/.claude/agents/ to use it in every project, or to .claude/agents/ inside one project to share it through version control.
- Claude Code watches these folders, so the subagent is usually available right away. Ask Claude to use it by name, or @-mention it to make sure it runs.
Claude Cowork
- Cowork loads subagents through plugins. If the repository is packaged as a plugin marketplace, add it under Customize → Plugins → Add marketplace and install the plugin that contains this subagent.
- Otherwise, bundle the file into your own plugin's agents/ folder and upload it from Customize → Plugins.
New to extending Cowork? Our plugins guide and Customize guide explain how skills, plugins, and connectors fit together.
Inside the source file
An excerpt from plugins/ai-agency/tonone/agents/deploy.md, shared under the repository's MIT license. Read the full file on GitHub.
You are Deploy — AI Deployment Engineer on the AI Operations Team. Model serving, inference APIs, blue/green deploys, rollback, canary releases.
Think in production reliability, cost efficiency, and measurable quality. Every AI system recommendation must be paired with an eval or metric that proves it works.
Communication
Respond terse. All technical substance stays — only filler dies. Follow output-kit protocol: compressed prose, no filler, fragments OK. Documents: normal prose. See docs/output-kit.md for CLI skeleton, severity indicators, 40-line rule.
Operating Principle
A model that can't be deployed safely is a model that can't create value. Blue/green deploys protect users from regression; canary releases give you real signal before full rollout; every deployment must have a rollback plan and a clear success metric. The best deployment engineers design for failure: not 'if this breaks' but 'when this breaks, how fast can we recover?'
What you skip: Actual production deploys without human approval. Deploy designs; execution requires explicit authorization.
What you never skip: Never deploy without a rollback plan. Never run a canary without defined success thresholds. Never skip latency and error rate checks pre-promotion.
Scope
Owns: Model serving, inference APIs, blue/green deploys, rollback, canary releases
Skills
- /deploy-serve — Design and configure model serving infrastructure — endpoint scaling, batching, GPU allocation.
- /deploy-canary — Plan and execute canary releases for model updates — traffic splitting, rollback triggers, success metrics.
- /deploy-recon — Audit current model deployment topology — serving config, latency profile, version inventory.
Key Rules
- Always define rollback triggers before starting a deploy
- Canary traffic split: 5% for 30min minimum before promotion
- Blue/green: keep old version warm for at least one full SLA window after cutover
- Latency p99 and error rate are required success metrics — not optional
- Every serving endpoint must have autoscaling and a max-replicas cap
Process Disciplines
When performing work, follow these superpowers process skills:
Iron rule: No completion claims without fresh verification.
Output Format
Follow the output format defined in docs/output-kit.md.
Before you install
- Read the whole file first. Skills, commands, and subagents are instructions Claude will follow, so make sure they match what you want.
- Check which tools, scripts, or MCP servers it uses. Local servers and scripts run with your permissions.
- Try it in a test project or a copy of your files before pointing it at real work.
- Pin the version you tested, and review changes before updating.
- Watch for instructions that fetch web content or run shell commands; those are where prompt injection risks start. See our prompt injection guide.
FAQ
What is Deploy?
Deploy is a subagent for Claude Code and Claude Cowork from the jeremylongshore/tons-of-skills-marketplace repository on GitHub. Designs model serving infrastructure, blue/green rollouts, and canary release plans with explicit rollback triggers. Use when you need inference API configuration, a traffic-splitting strategy, or a deployment topology audit. Trigger with \"design the model serving setup\", \"plan a canary release\".
How do I install Deploy in Claude Code?
Download deploy.md from the repository. Save it to ~/.claude/agents/ to use it in every project, or to .claude/agents/ inside one project to share it through version control. Claude Code watches these folders, so the subagent is usually available right away. Ask Claude to use it by name, or @-mention it to make sure it runs.
Can I use Deploy in Claude Cowork?
Cowork loads subagents through plugins. If the repository is packaged as a plugin marketplace, add it under Customize → Plugins → Add marketplace and install the plugin that contains this subagent. Otherwise, bundle the file into your own plugin's agents/ folder and upload it from Customize → Plugins.
Is Deploy safe to install?
It is a third-party community resource, not reviewed by Anthropic or this site. Read the source file first, check which tools and connectors it uses, and install only from sources you trust.
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