Apify Prod Checklist

What it does

When your agent uses it

• Deploying an Actor to production
• Preparing for launch
• Validating Actor configuration
• Rollback before going live

Example prompts

• “apify production”
• “deploy actor to prod”
• “apify go-live”
• “/apify-prod-checklist”

Requirements

• Compatibility (from SKILL.md): Designed for Claude Code
• Pre-approved tools (allowed-tools): Read, Bash(apify:*), Bash(curl:*), Bash(npm:*)

Workflow steps

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

1. 1Deploy Actor — apify push, then apify builds ls to confirm the build, then apify actors call with a small production-like input to…
2. 2Configure Scheduling — create a cron schedule with client.schedules().create({...}) (or Apify Console: Actors > Your Actor > Schedules)…
3. 3Set Up Webhooks — client.webhooks().create({...}) on ACTOR.RUN.SUCCEEDED/FAILED/TIMED_OUT with a payloadTemplate posting runId, status…
4. 4Monitor Runs — a checkActorHealth(actorId, lookbackHours) helper lists recent runs and reports success rate, failures, timeouts, and total…
5. 5Implement Rollback — apify builds ls, then repoint the Actor at a prior build via the POST /v2/acts/ACTOR_ID?build=N API, or redeploy from…
6. 6Cost Guard — runWithCostGuard(actorId, input, maxCostUsd) polls usageTotalUsd every 30s and aborts the run if it exceeds budget.

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. 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
  • Bash(apify:*)
  • Bash(curl:*)
  • Bash(npm:*)

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).

  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):

  • docs.apify.com

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

• Credentials

  Names no API keys, tokens, secrets or passwords.

  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

Apify Prod Checklist loads about 1.6k tokens when it runs, and up to ~3.1k if it reads all its reference files. Until then it costs about 91 tokens; SKILL.md has 609 words of instructions outside code blocks.

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

~91

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

~1.6k

With references · SKILL.md plus every file in references/, read only if the agent opens them

~3.1k

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 cfae287, republished under its MIT licence (© jeremylongshore). 609 words, ~1,618 tokens.

name

apify-prod-checklist

description

Production readiness checklist for Apify Actor deployments. Use when deploying an Actor to production, preparing for launch, or validating Actor configuration, scheduling, monitoring, and rollback before going live. Trigger with "apify production", "deploy actor to prod", "apify go-live", "apify launch checklist", "actor production ready".

allowed-tools

Read, Bash(apify:*), Bash(curl:*), Bash(npm:*)

compatibility

Designed for Claude Code

version

1.5.0

license

MIT

author

Jeremy Longshore <jeremy@intentsolutions.io>

tags

saas, scraping, automation, apify

# Build and push to Apify platform
apify push

# Verify the build succeeded
apify builds ls

Actor: username/product-scraper
Last 24h: 3 runs, 66.7% success
Failed: 1, Timed out: 0
Total cost: $0.4213

# Smoke-test on-platform with a tiny input before scheduling
apify actors call username/product-scraper \
  --input='{"startUrls":[{"url":"https://target.com"}],"maxItems":10}'

© 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

SKILL.md and 2 other files (references) in skills/.curated/apify-prod-checklist of jeremylongshore/tons-of-skills-marketplace.

• SKILL.md
• references/examples.md
• references/implementation.md

Open the folder on GitHubat commit cfae287