Cam Bracken
Community@cameronbracken
Cam Bracken maintains 31 skills for reproducible scientific research spanning hydrology, energy systems, and climate extremes, covering environments, manuscripts, figures, and replication.
Agent Skills by Cam Bracken
Showing 31 vetted skills indexed across 1 GitHub repositories.
cameronbrackensetup-environment
Scaffold and repair research project environments using pixi, rv, renv, and direnv.
cameronbrackenautoresearch
Runs bounded autonomous research loops that evaluate committed candidates against saved objectives through TORC.
cameronbrackenfigure-composer
Compose multi-panel scientific figures from claims, datasets, and draft results.
cameronbrackenproject-learning
Retrieve, record, and verify reusable project lessons with evidence-backed workflow improvements.
cameronbrackenpaper-code-audit
Compare a paper's claims against its public codebase and report mismatches.
cameronbrackenagent-delegation
Prepare and interpret delegated agent work with explicit task boundaries and return contracts.
cameronbrackenpublish-blog-post
Draft, prepare media for, and publish Quarto blog posts using site configuration.
cameronbrackenmyst-to-quarto
Convert MyST Markdown documents to Quarto syntax including citations, callouts, and figures.
cameronbrackenbib-validate
Validate citation keys and bibliography metadata against OpenAlex and Crossref before rendering documents.
cameronbrackendeep-research
Conduct multi-source investigations and produce cited research briefs with provenance tracking.
cameronbrackenproject-conventions
Applies coding conventions and deterministic reproducibility checks to research code in R, Python, Fortran, Quarto, and LaTeX.
cameronbrackenaudit-reproducibility
Audit numeric manuscript claims against R, Python, and Fortran analysis outputs.
cameronbrackensession-log
Write durable session logs capturing completed work, findings, and next steps.
cameronbrackenpdf-explore
Extract and cross-check methods, figures, tables, and citations across scientific PDFs.
cameronbrackensimulation-study
Design, run, and review reproducible Monte Carlo simulation studies in R.
cameronbrackeneli5
Explains research papers and technical ideas in plain English with analogies.
cameronbrackenliterature-review
Runs multi-hop literature reviews with paper search, source synthesis, and citation verification.
cameronbrackencompile-latex
Compile LaTeX and Beamer documents with latexmk and diagnose build failures.
cameronbrackencapture-environment
Capture software versions, lockfiles, compiler flags, and RNG seeds for research workflows.
cameronbrackenpipeline-manifest
Map research scripts to inputs, outputs, and dependencies, then derive a topological run order.
cameronbrackenpaper-narrative
Restructures manuscript arguments by analyzing claims, evidence chains, and figure order.
cameronbrackenwatch
Create research watch baselines and schedule follow-up checks for monitoring fields.
cameronbrackenreplication
Plans and executes empirical replications of papers, claims, and benchmarks with claim ledgers.
cameronbrackenresearch-software-quality
Route research software changes through proportional testing, worktree isolation, and verification workflows.
Frequently Asked Questions About Cam Bracken
FAQPage SchemaWhat tasks can I accomplish with Cam Bracken's skills?▼
You can scaffold research environments, audit paper-code consistency, run Monte Carlo simulation studies in R, compose multi-panel scientific figures, compile LaTeX and Beamer documents, validate bibliographies against OpenAlex and Crossref, conduct literature reviews, and build replication packages for published claims.
Who are these skills designed for?▼
These skills target research scientists, computational hydrologists, energy systems modelers, and climate extremes analysts working in R, Python, Fortran, Quarto, and LaTeX who need reproducible pipelines, verified manuscripts, and publication-grade figures before submission or archival.
How do I set up a reproducible research environment with these skills?▼
The setup-environment skill scaffolds or repairs projects using pixi for Python and system dependencies, rv or renv for R packages, and direnv for per-project variables. The capture-environment skill then records compilers, flags, seeds, and platform details for archival or handoff.
How do the skills verify that a paper matches its code?▼
The paper-code-audit skill compares a paper's claims against its public codebase to find mismatches, while audit-reproducibility checks numeric manuscript claims against produced R, Python, Fortran, and text outputs, generating a reproducibility passport before submission.
What prerequisites do these research skills require?▼
Prerequisites depend on the skill: R with renv or rv for simulation studies, pixi and direnv for environment scaffolding, latexmk with XeLaTeX for document compilation, Quarto for reports and blog publishing, and TORC for the bounded autoresearch experiment loop.