Install
$ agentstack add skill-uygnoey-skills-from-claude-blog-message-batches-job-design ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
message-batches-job-design
Instructions
- Use the Message Batches API when work is not time-sensitive and you can wait up to 24 hours for completion. - Design each batch for high volume (up to 10,000 queries) and plan for asynchronous retrieval of results. - Use batching to reduce cost (50% discount on input and output tokens) and to increase throughput without consuming standard API rate limits. - Prefer batching for large-scale analysis/classification/translation/evaluation workloads where you would otherwise build complex queueing.
Examples
- "We need to classify 2 million support tickets into 20 labels over the weekend—use the Batches API design checklist." - "Translate a large set of product descriptions where same-day delivery is fine; estimate cost savings vs standard calls." - "Run an offline model evaluation suite with 8,000 prompts; plan the batch submission and result download flow."
Source
- https://claude.com/blog/message-batches-api
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: uygnoey
- Source: uygnoey/skills-from-claude-blog
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.