Anth Deploy Integration

What it does

When your agent uses it

• Deploying Claude-powered services to Docker
• Kubernetes with proper secret management and health checks
• With phrases like deploy anthropic
• Claude production deploy

Example prompts

• “deploy anthropic”
• “claude production deploy”
• “ship claude integration”
• “/anth-deploy-integration”

Requirements

• Python 3
• Docker
• A credential in ANTHROPIC_API_KEY
• Compatibility (from SKILL.md): Designed for Claude Code
• Pre-approved tools (allowed-tools): Read, Write, Edit, Bash(npm:*), Grep

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

1. 1Build and scan the pinned artifact, bind the environment-specific secret at runtime, and verify that logs and probes cannot expose…
2. 2Deploy to staging and run the token-count/health probe plus synthetic Messages API, error, timeout, rate-limit, and redaction tests…
3. 3Release to one sandbox or internal canary, monitor aggregate SLOs and sensitive_content_logged=0, and require owner approval before wider…
4. 4Promote in bounded stages while preserving the prior revision and idempotent deployment record. Do not bypass failed health…
5. 5On failure, stop traffic, roll back to the prior revision, revoke temporary access, clean up staged artifacts under the retention policy…

What it can do on your machine

Read from SKILL.md and the folder at commit 80f86df. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves these tools, so the agent can use them without asking each time:

  • Read
  • Write
  • Edit
  • Bash(npm:*)
  • Grep

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  Shell commands in SKILL.md call:

  • gcloud
  • kubectl

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  Links to these hosts (documentation or services it may open):

  • platform.claude.com
  • status.anthropic.com

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names these keys or tokens, usually read from environment variables:

  • ANTHROPIC_API_KEY

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

• Compatibility

  Designed for Claude Code

  From compatibility in the SKILL.md frontmatter.

Context cost

Anth Deploy Integration loads about 1.3k tokens when it runs. Until then it costs about 88 tokens; SKILL.md has 337 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~88

When it runs · the whole SKILL.md, loaded when a task matches

~1.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from jeremylongshore/tons-of-skills-marketplace at commit 80f86df, republished under its MIT licence (© jeremylongshore). 337 words, ~1,257 tokens.

name

anth-deploy-integration

description

Deploy Claude API integrations to production cloud environments. Use when deploying Claude-powered services to Docker, Cloud Run, ECS, or Kubernetes with proper secret management and health checks. Trigger with phrases like "deploy anthropic", "claude production deploy", "ship claude integration", "anthropic cloud deployment".

allowed-tools

Read, Write, Edit, Bash(npm:*), Grep

compatibility

Designed for Claude Code

version

1.7.0

license

MIT

author

Jeremy Longshore <jeremy@intentsolutions.io>

tags

saas, ai, anthropic

FROM python:3.12-slim
WORKDIR /app
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
COPY src/ ./src/
ENV ANTHROPIC_API_KEY=""
EXPOSE 8000
CMD ["uvicorn", "src.main:app", "--host", "0.0.0.0", "--port", "8000"]

# src/main.py
from fastapi import FastAPI, HTTPException
import anthropic

app = FastAPI()
client = anthropic.Anthropic()

@app.get("/health")
async def health():
    try:
        count = client.messages.count_tokens(
            model="claude-haiku-4-20250514",
            messages=[{"role": "user", "content": "ping"}]
        )
        return {"status": "healthy", "api": "connected"}
    except Exception as e:
        raise HTTPException(503, detail=str(e))

echo -n "sk-ant-api03-..." | gcloud secrets create anthropic-key --data-file=-

gcloud run deploy claude-service \
  --image gcr.io/my-project/claude-service \
  --set-secrets ANTHROPIC_API_KEY=anthropic-key:latest \
  --min-instances 1 --max-instances 10 \
  --memory 512Mi --timeout 120s

apiVersion: apps/v1
kind: Deployment
metadata: { name: claude-service }
spec:
  replicas: 3
  strategy: { type: RollingUpdate, rollingUpdate: { maxUnavailable: 1 } }
  template:
    spec:
      containers:
        - name: app
          env:
            - name: ANTHROPIC_API_KEY
              valueFrom:
                secretKeyRef: { name: anthropic-secrets, key: api-key }
          livenessProbe:
            httpGet: { path: /health, port: 8000 }
            periodSeconds: 30

# Cloud Run
gcloud run services update-traffic claude-service --to-revisions=PREVIOUS=100

# Kubernetes
kubectl rollout undo deployment/claude-service

© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/.curated/anth-deploy-integration of jeremylongshore/tons-of-skills-marketplace.

Open the folder on GitHubat commit 80f86df