lumoswyy
- 18 skills
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- 8 hours ago last updated
- ▌ Statspai Skill · lumoswyyAgent-native one-stop toolkit for the full empirical data-analysis pipeline in Python (v1.6+). 900+ functions, one import (`import statspai as sp`), unified API. Covers the complete loop after data cleaning — descriptive stats & EDA (sp.sumstats, sp.balance_table, sp.balance_panel), estimand-first research-question DSL (sp.causal_question), LLM-assisted DAG discovery (sp.llm_dag_propose/validate/constrained), one-call orchestration (sp.causal), classical estimators (OLS, IV, DID, staggered DID, RDD, PSM, SCM), ML causal (DML, Causal Forest, Meta-Learners, TMLE), neural causal, text causal (sp.causal_text), and diagnostics + robustness (sp.diagnose, sp.spec_curve, sp.honest_did). Use when the user asks to run a full empirical analysis, decide which estimator to use ("DID vs RD vs IV?"), explore models via DAG, estimate treatment effects, evaluate policy, run observational studies, or apply any of the listed econometric methods in Python. Every function returns structured result objects with self-describing sch
- ▌ Revision Coordinator · lumoswyy bundleOrchestrate manuscript revision by routing feedback to specialized writing skills
- ▌ Paper Self Review · lumoswyyThis skill should be used when the user asks to "review paper quality", "check paper completeness", "validate paper structure", "self-review before submission", or mentions systematic paper quality checking. Provides comprehensive quality assurance checklist for academic papers.
- ▌ Prompt Optimizer · lumoswyyTransforms raw user requests into structured, outcome-focused prompts for Claude Cowork. Use when the user wants to optimize or rewrite a prompt for Cowork, needs help structuring a multi-step task for autonomous execution, or says things like "optimize this Cowork prompt", "rewrite for Cowork", or "make this a Cowork prompt". Outputs a single code block with the rewritten prompt following the GOAL/CONTEXT LOADING/IDENTITY/SUCCESS CRITERIA/INPUTS/CONSTRAINTS/CHECKPOINT RULE structure.
- ▌ Stata · lumoswyy bundleUse when writing, running, or debugging Stata code, do files, ado files, packages, or Mata programs in this environment. Use when loading Stata datasets, running regressions, managing data, developing Stata commands or packages, or working with Stata/Mata syntax.
- ▌ Sec Edgar Parser · lumoswyy bundleSkill for accessing, downloading, and parsing financial filings from the SEC EDGAR database. Helps users retrieve 10-K, 10-Q, 8-K, and other forms using the SEC's JSON API.
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- ▌ Beautiful Deck · lumoswyyEnd-to-end beautiful Beamer deck creation. Designs an original Beamer theme tailored to a specific audience, restructures existing content via the Rhetoric of Decks (ethos / pathos / logos), generates figures and tables from R/Python/Stata code first, embeds code blocks in the deck, produces standalone walkthrough scripts, compiles to zero warnings, runs /tikz for visual collision cleanup, and dispatches a graphics-only audit agent for label and coordinate checks. Use when creating a presentation from scratch or restructuring existing content into a new beautiful deck.
- ▌ Beamer Ppt · lumoswyy bundleA conversational assistant skill for creating professional LaTeX Beamer presentations through natural dialogue. Users create slides page-by-page with flexible layouts and instant PDF preview. Supports both Chinese (ctex) and English typesetting with multi-project management and undo/redo capabilities.
- ▌ Econ Write · lumoswyy bundleExpert economics paper writing assistant synthesizing advice from 50+ top guides by Cochrane, McCloskey, Shapiro, Head, Bellemare, Goldin, Glaeser, Kremer, and other leading economists. USE THIS SKILL whenever the user writes, edits, reviews, rewrites, or structures any economics paper, thesis, job market paper, abstract, introduction, conclusion, results section, literature review, or referee response. Also handles LaTeX formatting, presentations, and paper audits. Covers all paper types (applied, theory, structural, mixed) and all sections.
- ▌ Academic Slides · lumoswyy bundleCreate Beamer-inspired academic HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build slides for a conference talk, lecture, seminar, or thesis defense. Supports theorem environments, KaTeX equations, algorithm pseudocode, and citations. Helps academics discover their preferred visual theme through Beamer-style previews rather than abstract choices.
- ▌ Fletcher · lumoswyyDefamiliarization audit for empirical output. Systematically interrogates every feature of a figure, table, or set of results — not just the main finding. Named for Jason Fletcher, who asked about the spike at t=1 when everyone else was looking at t=2. Use when you have output and are about to interpret or report it.
- ▌ Referee2 · lumoswyySystematic audit and review by Referee 2. Two modes — "deck" reviews slide presentations for rhetoric, visual quality, and compile cleanliness; "code" performs cross-language replication and econometric audit of empirical pipelines. Use when reviewing slides, auditing code, or verifying replication.
- ▌ Crossref · lumoswyy bundleMatch a pasted list of academic references against the Crossref REST API and produce a four-column markdown table (original, matched, confidence, flags) with canonical APA citations and DOIs. Use whenever the user pastes a bibliography or reference list and wants to verify, clean up, canonicalize, or find DOIs for those references — triggers include "verify bibliography", "match these references", "find DOIs for this reference list", "canonicalize my citations", "clean up the reference list against Crossref", "check these citations", or any pasted block of academic references accompanied by a request to normalize them.
- ▌ Review Response · lumoswyy bundleSystematic review response workflow from comment analysis to professional rebuttal writing. Use when the user asks to "write rebuttal", "respond to reviewers", "draft review response", or "analyze review comments". Improves paper acceptance rates.
- ▌ Stata Analyst · lumoswyy bundleStata statistical analysis for publication-ready sociology research. Guides you through phased workflows for DiD, IV, matching, panel methods, and more. Use when doing quantitative analysis in Stata for academic papers.
- ▌ R Analyst · lumoswyy bundleR statistical analysis for publication-ready sociology research. Guides you through phased workflows for DiD, IV, matching, panel methods, and more. Use when doing quantitative analysis in R for academic papers.