Skill.md
- SKILL.md
--- name: lfg description: Full autonomous research workflow — brainstorm, plan, implement, review, and document ---
Library Skill.md library
Each one names the GitHub repo it came from, so you can check exactly what it tells your AI to do.
274990 Skill.md files
--- name: lfg description: Full autonomous research workflow — brainstorm, plan, implement, review, and document ---
--- name: publication-output description: This skill covers publication-quality tables and figures for academic research papers. Use when formatting regression results, summary statistics, Monte Carlo output, or research visualizations for LaTeX inclusion. Triggers on "table", "figure", "tabulate", "stargazer", "publication-ready", "LaTeX table", "event study plot", "coefficient plot", "RD plot", "power curve", "specification curve", "binscatter", "format results", "booktabs". ---
--- name: replicate description: Build and verify replication packages — routes to reproducibility-auditor agent ---
--- name: reproducible-pipelines description: This skill covers reproducible research pipelines and replication packages. Use when the user is setting up a research project directory structure, configuring workflow managers (Make, Snakemake, DVC), managing computational environments, preparing replication packages for journal submission, or debugging reproducibility failures. Triggers on "reproducible", "replication package", "Makefile", "Snakemake", "DVC", "pipeline", "workflow manager", "data versioning", "conda environment", "Docker", "seed management", "AEA data editor", "replication", "project structure", or "submission checklist". ---
--- name: slfg description: Full autonomous research workflow using swarm mode for parallel execution ---
--- name: structural-modeling description: This skill covers structural econometric models. Use when the user is building, estimating, or debugging structural models — including BLP demand estimation, dynamic discrete choice, auction models, or any workflow involving moment conditions, nested fixed-point algorithms, or MPEC formulations. Triggers on "structural model", "moment conditions", "NFXP", "MPEC", "BLP", "random coefficients", "dynamic discrete choice", "CCP", "Rust model", "auction estimation", "GMM objective", "inner loop", "contraction mapping", or convergence/starting value problems in optimization-based estimation. ---
--- name: submission-guide description: This skill covers academic journal submission, referee responses, and revision management. Use when the user is preparing a manuscript for submission, formatting for a specific journal, responding to referees, or managing revisions. Triggers on "submit", "referee", "revision", "R&R", "response letter", "journal", "formatting", "submission", "resubmit", "cover letter", "referee report", "revise and resubmit". ---
--- name: workflows:brainstorm description: Explore methodological approaches through structured analysis before planning implementation ---
--- name: workflows:compound description: Document a recently solved research problem to compound methodological knowledge ---
--- name: workflows:ideate description: Divergent research ideation — generate many candidate directions, then adversarially filter to the strongest ---
--- name: workflows:plan description: Transform research descriptions into well-structured implementation plans following project conventions ---
--- name: workflows:review description: Run multi-agent econometric review on estimation code, identification arguments, and research artifacts ---
--- name: workflows:work description: Execute research implementation plans efficiently while maintaining estimation quality and finishing features ---
--- name: commit description: Stage, commit, create PR, and merge to main. Use for the standard commit-PR-merge cycle. ---
--- name: compile-latex description: Compile a Beamer LaTeX slide deck with XeLaTeX (3 passes + bibtex). Use when compiling lecture slides. ---
--- name: context-status description: Show current context status and session health. Use to check how much context has been used, whether auto-compact is approaching, and what state will be preserved. ---
--- name: create-lecture description: Create new Beamer lecture from papers and materials. Guided workflow with notation consistency. ---
--- name: data-analysis description: End-to-end R data analysis workflow from exploration through regression to publication-ready tables and figures ---
--- name: deep-audit description: Deep consistency audit of the entire repository infrastructure. Launches 4 parallel specialist agents to find factual errors, code bugs, count mismatches, and cross-document inconsistencies. Then fixes all issues and loops until clean. Use when: after making broad changes, before releases, or when user says "audit", "find inconsistencies", "check everything". ---
--- name: deploy description: Render Quarto slides and sync to docs/ for GitHub Pages deployment. Use when deploying lecture slides after making changes. ---
--- name: devils-advocate description: Challenge slide design with 5-7 pedagogical questions. Checks ordering, prerequisites, and cognitive load. ---
--- name: extract-tikz description: Extract TikZ diagrams from Beamer source, compile to PDF, convert to SVG with 0-based indexing. Use when updating TikZ diagrams for Quarto slides. ---
--- name: interview-me description: Interactive interview to formalize a research idea into a structured specification with hypotheses and empirical strategy ---
--- name: learn description: Extract reusable knowledge from the current session into a persistent skill. Use when you discover something non-obvious, create a workaround, or develop a multi-step workflow that future sessions would benefit from. ---