From attune-ai
Submits tasks to the Anthropic Batch API for 50% cost savings on non-urgent, high-volume analysis. Runs asynchronously (up to 24h).
How this skill is triggered — by the user, by Claude, or both
Slash command
/attune-ai:bulk <what to batch><what to batch>The summary Claude sees in its skill listing — used to decide when to auto-load this skill
**IMPORTANT: Start your response with a context preamble.**
IMPORTANT: Start your response with a context preamble.
Call help_lookup(topic="bulk", mode="preamble") and display
the returned preamble text as a blockquote. Then tell the
user they can say "tell me more" for a step-by-step guide, or
answer the scoping questions below to proceed.
If the MCP call fails, fall back to:
Bulk — Submits tasks to the Anthropic Batch API for 50% cost savings. Runs asynchronously (up to 24h), so it's ideal for non-urgent, high-volume analysis rather than interactive work.
Before submitting, ask:
Call the analyze_batch MCP tool with a requests array,
one entry per task:
analyze_batch(requests=[
{"task_id": "<unique-id>", "task_type": "<e.g. analyze_logs>",
"input_data": {...}, "model_tier": "capable"},
...
])
task_id and task_type and input_data are required per
request; model_tier is optional (cheap / capable /
premium, default capable).claude-fable-5
(with server-side opus fallback); batch premium =
claude-opus-4-8 — the Batch API rejects the fallbacks
param, so fable models are downgraded at request-build time.Report back:
npx claudepluginhub smart-ai-memory/attune-ai --plugin attune-aiCreates, edits, and verifies skills using a test-driven development approach with pressure scenarios and subagents.