Individual skill
llm-research-workflow
Iterative workflow for developing LLM-based data pipelines and LLM-generated measures in empirical economics and finance research, based on Ferrara (2026, NBER WP 35374). Use this skill whenever the user wants to use an LLM (or asks whether they can) to extract, classify, score, link, harmonize, or transcribe research data — e.g., tone/sentiment of earnings calls or filings, classifying news or analyst text, extracting structured data from PDFs/scans/tables, matching entities without unique identifiers, scoring images or audio, or building any variable that will later enter a regression. Also trigger when the user says "help me set up a pipeline", "can an LLM do X with my data", "classify these documents", or proposes sending a research corpus to a model. Trigger even if the user does not say "workflow" — the point of the skill is to impose the workflow they didn't ask for.
research-workflow/llm-research-workflow/SKILL.md
Source commit 9a4b2db21fc4b217136ae4a0e6faad42d179ca03
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 11, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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Repository context
- Repository stars (not skill ratings)
- 234
- Repository last updated
- Sep 18, 2026
- License
- Not available
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- finance Derived category
- operations Derived category
- data Derived category
- research Derived category
Files and excerpt
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Browse files
SKILL.mdcore · 13,127 bytesSKILL.mdcore · 13,127 bytesSKILL.mdcore · 13,127 bytesreferences/step-prompts.mddoc · 6,274 bytes
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