con un clic
lit-review-orchestrator
lit-review-orchestrator contiene 7 skills recopiladas de kennethkhoocy, con cobertura ocupacional por repositorio y páginas de detalle dentro del sitio.
Skills en este repositorio
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 Undermind (an automated Playwright driver in Classic mode) and Google Scholar (SearchAPI.io), then merges, deduplicates, and screens the results. Only use this skill when explicitly requested — e.g., the user says "run lit-review-orchestrator", "lit-review-orchestrator", or "/lit-review-orchestrator". Do NOT auto-trigger on general literature review requests.
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 DeepSeek/Claude. Only use this skill when explicitly requested — e.g., the user says "run lit-dedup", "lit-dedup", or "/lit-dedup". Do NOT auto-trigger on general literature review requests.
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 paper as theoretical/empirical, identifies methodology, and classifies relationship to user's work. Only use this skill when explicitly requested -- e.g., the user says "run lit-screen", "lit-screen", or "/lit-screen". Do NOT auto-trigger on general literature review requests.
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 condensed into 3-5 short queries via Claude Sonnet before searching. Only use this skill when explicitly requested — e.g., the user says "run supplementary search", "supplementary-search", or "/supplementary-search". Do NOT auto-trigger on general literature review or paper search requests.
Stage 1 of the lit review pipeline: run an Undermind.ai "Classic" deep search from the natural-language brief produced by Stage 0, then parse + enrich the exported references into the pipeline schema. The driver logs in automatically with stored credentials and runs headless via Playwright. Only use this skill when explicitly requested. Do NOT auto-trigger on general literature review or paper search requests.
Stage 2b of the lit review pipeline: run a Google Gemini Deep Research deep search (Interactions API) from the brief produced by Stage 0, then parse the cited report into the pipeline schema. API-driven (GEMINI_API_KEY), no browser. An alternative deep-search pathway alongside Undermind (Stage 1) and Scholar Labs (Stage 2). Only use this skill when explicitly requested. Do NOT auto-trigger on general literature review or paper search requests.
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 -> BibTeX), then parse + enrich into the pipeline schema. The driver signs in to Google with a persistent profile and runs headless via Playwright. Only use this skill when explicitly requested. Do NOT auto-trigger on general literature review or paper search requests.