kennethkhoocy

Build human adjudication / hand-labeling sheets from LLM-pipeline data without evidence truncation. Use when: (1) preparing a CSV/Excel sheet for a human to rule on cases an LLM classifier or rater panel judged, (2) a labeler reports "there is no information…

N-round adversarial review pipeline for empirical research output — the chain from data to LaTeX tables to a manuscript that cites them. A Claude drafter proposes minimal diffs, a deterministic mechanical battery gates every diff from a clean state with a…

Before designing, training, or auditing ANY model that replicates human-annotated labels, audit the annotation protocol's INPUT — the exact document/evidence the human labelers consulted — and give the model that same input. Use when: (1) designing a…

Raise real concurrency in asyncio LLM batch scorers built on the OpenAI SDK (AsyncOpenAI, including OpenAI-compatible providers like DeepSeek). Use when: (1) raising an asyncio.Semaphore above ~100 produces no throughput gain, (2) a batch pipeline saturates…

Place pre-screened literature citations into a LaTeX or Word manuscript, or restyle the citations already in one. Three modes: (1) inline placement — inline \cite{}/\citet{}/\citep{} with a compiled references.bib, for author-date journals (APA, MLA, Harvard,…

Download the actual PDF binary from bot-gated sites (taxpolicycenter.org, urban.org, SSRN-hosted mirrors, think-tank/publisher sites) via the Wayback Machine id_ URL form. Use when: (1) curl/WebFetch of a .pdf URL returns HTML instead of a PDF even with a…

Complete methodology for computing publication-quality cumulative abnormal returns with proper event-study test statistics, matching the robustness of Kaspereit's eventstudy2 for Stata. Covers dateline construction, event-date mapping, estimation and event…

Set up, format, fix, and clean up LaTeX regression and estimation tables in empirical economics or finance papers. Use when (a) creating a .tex, results.tex, main.tex, or preamble to display regression or estimation output from Python (pyfixest), Stata, or R…

Master controller for the lit-review pipeline, driven by a document. Give it a .tex or .docx file describing an article — a full manuscript, an abstract, or a proposal — and it extracts a search plan, runs an Undermind deep search (through the Undermind MCP…

Run the lit-review orchestrator free index search channel against keyless OpenAlex, Crossref, and Semantic Scholar keyword-search endpoints. Use when the user invokes the free search channel, asks for keyless scholarly index search, or needs Stage 4e fallback…

Stage 5 of the lit review pipeline: merge and deduplicate papers from all prior stages (Undermind, Scholar Labs, supplementary search) into a single master list with provenance tracking. Two-pass dedup: exact DOI match then LLM fuzzy match via…

Stage 6 of the lit review pipeline: screen paper abstracts against the research prompt. The orchestrator's agent-driven flow runs this re-ranker on Opus subagents; a standalone run uses the in-script Claude Sonnet API fallback. Rates relevance 1-10, tags each…

Stage 2 of the lit review pipeline: run a Google Scholar Labs deep search from the detailed research question produced by Stage 0, scrape each result's citation (Cite to BibTeX), then parse + enrich into the pipeline schema. The driver signs in to Google with…

Stage 4 of the lit review pipeline: search academic sources — general Google Scholar (--scholar), SSRN, NBER, HeinOnline, citation chaining via Semantic Scholar, and forthcoming paper lists from top finance journals. Long research prompts are automatically…

Stage 1 of the lit review pipeline: run an Undermind deep search from the natural-language brief produced by Stage 0 through the Undermind MCP server (agent-driven; no browser, no stored credentials), then parse + enrich the returned papers into the pipeline…

Run the lit-review orchestrator keyless agent-driven web search channel that uses WebSearch and WebFetch outputs normalized through websearch_ingest.py. Use when the user invokes the web search channel, asks for Stage 4d open-web literature discovery, or…

Produce a detailed .md plan for an academic article that a separate drafter agent then writes section-by-section in LaTeX. This is the academic-writing analog of the superpowers brainstorming → writing-plans workflow: it first interviews the user one question…

Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables/formulas from PDFs (including scanned and photographed documents), OCR, combining or merging multiple PDFs, splitting, rotating,…

Unified skill for Microsoft Word .docx workflows: extracting comments or tracked changes, summarizing reviewer feedback, generating response-to-comments documents, building Word memos or reports, applying tracked edits, auditing OOXML internals, validating…