| Compile a LaTeX project and run basic QA (missing refs, bib errors, broken citations), producing `latex/main.pdf` and a build report.
npx skills add https://github.com/WILLOSCAR/research-units-pipeline-skills --skill latex-compile-qa
Compile the LaTeX project and produce a PDF (when the toolchain is available), plus a short build report.
This step is deterministic; if compilation fails, record actionable diagnostics rather than guessing.
latex/main.texcitations/ref.biblatex/main.pdf (if compilation succeeds)output/LATEX_BUILD_REPORT.md (recommended)latexmk) if available.latex/main.pdf exists only when compilation succeeds; failed builds must remove stale PDFs and explain the failure in output/LATEX_BUILD_REPORT.md.arxiv-survey-latex deliverables: latex/main.pdf is >= 8 pages and has no undefined citations/references (strict gate).uv run python .codex/skills/latex-compile-qa/scripts/run.py --helpuv run python .codex/skills/latex-compile-qa/scripts/run.py --workspace <workspace>--help (inputs/outputs are taken from the unit runner when used via pipeline)uv run python .codex/skills/latex-compile-qa/scripts/run.py --workspace <workspace>latexmk -xelatex -bibtex when available.output/LATEX_BUILD_REPORT.md (success or failure).latexmk not foundSymptom:
Causes:
Solutions:
latexmk.latex-scaffold to generate latex/main.tex and compile elsewhere.Symptom:
Causes:
citations/ref.bib missing/miswired, or draft contains invalid cite keys.Solutions:
latex/main.tex points to ../citations/ref.bib (or the correct relative path).citations/ref.bib.output/LATEX_BUILD_REPORT.md tail for the first actionable error.latex/main.tex exists and bibliography path is correct.Automated LLM-driven hypothesis generation and testing on tabular datasets. Use when you want to systematically explore hypotheses about patterns in empirical data (e.g., deception detection, content analysis). Combines literature insights with data-driven hypothesis testing. For manual hypothesis formulation use hypothesis-generation; for creative ideation use scientific-brainstorming.
Statistical analysis toolkit. Hypothesis tests (t-test, ANOVA, chi-square), regression, correlation, Bayesian stats, power analysis, assumption checks, APA reporting, for academic research.
Automated hypothesis generation and testing using large language models. Use this skill when generating scientific hypotheses from datasets, combining literature insights with empirical data, testing hypotheses against observational data, or conducting systematic hypothesis exploration for research discovery in domains like deception detection, AI content detection, mental health analysis, or other empirical research tasks.
Advanced swarm orchestration patterns for research, development, testing, and complex distributed workflows
UX research and design toolkit for Senior UX Designer/Researcher including data-driven persona generation, journey mapping, usability testing frameworks, and research synthesis. Use for user research, persona creation, journey mapping, and design validation.
Guided statistical analysis for research data - test selection, assumption checking, effect sizes, power analysis, Bayesian alternatives, and APA-formatted reporting. Use whenever a user wants to compare groups, test a hypothesis, analyze experimental or survey data, check statistical assumptions, compute required sample sizes, or write up results - even if they never name a specific test. Covers t-tests, ANOVA, chi-square, correlation, regression, non-parametric and Bayesian methods. For low-level model APIs, see the statsmodels and pymc skills.
Run a pre-mortem risk analysis on a PRD or launch plan. Categorizes risks as Tigers (real problems), Paper Tigers (overblown concerns), and Elephants (unspoken worries), then classifies as launch-blocking, fast-follow, or track. Use when preparing for launch, stress-testing a product plan, or identifying what could go wrong.
> Jurisdiction-aware wage/hour and employment Q&A — classification, overtime, meal/rest breaks, leave, final pay — answered for the specific state/country with the controlling rule researched and cited rather than stated from memory. Use when the user asks any employment law question, or says "what's the rule in [state]", "is this exempt", "do we have to pay overtime for", or "can we classify this as".
Take willoscar/latex-compile-qa from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.