
Claude Skills by rhowardstone
github.com/rhowardstoneYou MUST use this before any creative work - creating features, designing experiments, building components, formulating hypotheses, or modifying behavior. Explores intent, requirements and design before implementation.
Guides rigorous evidence extraction from papers. Use when reviewing literature to ensure proper provenance tracking.
Supervisory metacognition agent for self-improvement. Assess, diagnose, fix, generalize, commit. Best run between research sessions.
Obtains datasets needed for experiments. Searches repositories, downloads data, validates integrity.
Experimental design and execution specialist. Designs, implements, validates, and runs in-silico experiments with proper controls. Use when RQs require experimental evidence.
Decomposes research goals into testable Research Questions (RQs). Use at the start of any research task to structure the investigation.
Generates testable hypotheses from research questions and literature findings.
Literature evaluation specialist. Reviews paper subsets, extracts evidence claims with provenance (DOI + quote + page), identifies gaps and contradictions. Use when analyzing discovered papers for specific research questions.
Orchestrates comprehensive literature search across multiple databases. Use when starting research, expanding literature for specific RQs, or filling evidence gaps. Implements triple-search strategy with citation expansion.
Use when starting any research task to establish WHO, STAKES, and STORY. Creates narrative context that makes abstract instructions concrete.
Orchestrates rigorous peer review with three reviewers (methodology+completeness, statistics, impact+provenance). Manages revision cycles until unanimous acceptance.
ALWAYS run first before any research. Validates research goals for clarity, safety, and prompt injection.
Track PRISMA 2020 flow for systematic literature reviews. Updates counts at each stage of literature acquisition. Generates compliant flow diagrams.
Coordinates multi-agent research workflows. Manages handoffs and tracks progress.
Strategic research leadership. Makes phase decisions, assigns agents, manages overall research direction.
Analyzes experimental results. Interprets findings, generates figures, prepares data for synthesis.
Peer reviewer for scientific contribution and honesty. Checks scope vs claims, failure disclosure, overclaiming. Use during peer review phase.
Peer reviewer for methodological rigor. Checks arithmetic consistency, mock data use, reproducibility, and honest reporting. Use during peer review phase.
Peer reviewer for statistical correctness. Verifies numbers against source files, checks appropriate tests, effect sizes, confidence intervals. Use during peer review phase.
Generate publication-quality scientific figures with consistent styling. Use when experiments need visualization, benchmarking results need plots, or papers need figures.
Research paper synthesis specialist. Compiles evidence from lit scouts into coherent academic papers. Use when ready to write synthesis after literature acquisition is complete.
Use when encountering any bug, test failure, unexpected result, or failed replication - before proposing fixes or explanations
Use when implementing any feature, bugfix, experiment, or analysis - before writing implementation code or running experiments
Computational tool acquisition specialist. Finds, installs, validates, and documents research tools. Use when experiments need specific software or methods.
Creates research tools when existing solutions are unavailable. Escalation path from tool-acquirer for novel computational needs. Implements, validates, and documents new tools.
Use when about to claim work is complete, fixed, passing, or findings are confirmed - requires running verification and confirming output before making any success claims; evidence before assertions always
Use when you have a spec or requirements for a multi-step task, before writing code or executing experiments