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Router skill for LLMQuant Data primitive workflows.
Passed 13 of 21 test cases with the skill, and 10 of 21 without it.
and 5 more in the full report
4 fixed10 passed either way8 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 3 test cases the skill fixed. Same model, same prompt, with and without the skill.
I am evaluating Meta's latest Annual Report on Form 10-K, specifically the Item 1 business description and Item 7 management discussions. Please deliver a synthesis of core growth drivers and operational risks, ensuring all filing periods are stated and any unretrieved data is called out.
| Checked | Without skill | With skill |
|---|---|---|
| Names missing data inputs when external database connections are absent. | Passed | Passed |
| States the reporting fiscal period for the cited SEC report. | Passed | Passed |
| Labels analytical inferences separately from direct filing disclosures. | Missed | Passed |
The instructions your model reads when the skill loads.
This category routes data-primitive research tasks to focused workflows. Use it when the user needs a direct LLMQuant Data-backed answer before any higher-level strategy or portfolio overlay.
| User intent | Workflow |
|---|---|
| Review business, risk, and MD&A evidence from a company's 10-K. | workflows/10k-risk-review.md |
| Identify top 13F managers holding a ticker and crowding signals. | workflows/ticker-smart-money-holders.md |
| Build a compact U.S. macro regime snapshot. | workflows/us-macro-snapshot.md |
| Compose a market-facing macro brief from macro, market, and research inputs. | workflows/macro-brief.md |
Prefer LLMQuant Data when available. The workflows may need these data capabilities:
Fallback:
test cases passed, vs 10 / 21 without
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