Audit ML experiment tracking infrastructure for reproducibility gaps, parameter logging completeness, metric capture, artifact management, and pipeline orchestration.
Verify that all hyperparameters, metrics, and data references are properly logged.
Provides guidance for experiment tracking with SwanLab. Use when you need open-source run tracking, local or self-hosted dashboards, and lightweight media logging for ML — from…
Design or audit an experiment with explicit hypotheses, assignment, metrics, power, stopping rules, and reproducible checks.
Planning or executing thesis experiments. Covers the lifecycle from ideation through polishing, tracking table, SPEC.md format, stage structure.
Run thesis experiments from ideation through publication. Use when brainstorming research questions, writing specs, executing experiments, or polishing for thesis.
Triggers LUCI try jobs to generate code coverage data. Supports Mode 1 (standard git cl try for source CLs) and Mode 2 (led for custom builds).
Executes the phased, multi-skill code coverage debugging playbook for triaging underreported code coverage in the Gerrit Commit Queue (CQ).
Statistical analysis and reporting for experimental datasets; use when you need to interpret experimental results, test significance (t-tests/ANOVA), or generate reproducible…
Best practices for designing reproducible ML experiments. Use when planning ablations, baselines, or controlled experiments.
A/B testing, randomization, sample size calculation, confounding control, and causal inference for data science.
生物实验设计、样本量和统计功效 skill。用于 omics study design、批次设计、paired/blocking、replicate、power analysis、multiple testing、randomization、covariate、time course 和统计风险评估。
Experimental design principles for scientific inquiry. Covers variable identification and control, control groups (positive and negative), randomization, blinding, sample size and…
Use when targeting Experimental Economics or deciding whether a lab- or field-experiment manuscript fits this venue.
Experimental methods for physics including measurement, uncertainty analysis, and experimental design.
Use when theoretical calculations need experimental validation, protocols must be designed with clear hypotheses and success criteria, or resource requirements (equipment — from…
Use when theoretical calculations need experimental validation, protocols must be designed with clear hypotheses and success criteria, or resource requirements (equipment — from…
Retrieves and analyzes Chromium per-CL code coverage data from the Findit API. Records per-CL coverage metrics for all modified source files and extracts unexecuted code lines.
Do experiment-driven research (hypotheses → minimal repros → evidence) and continuously improve research skills + tooling.
When shared workflow assets are modified locally, ask the developer if the change should be upstreamed to ai-workflows. If yes, create a branch and PR on the ai-workflows repo.
Designing, running, and interpreting controlled experiments to decide whether a change is genuinely better — online A/B tests, randomized controlled trials, and offline hypothesis…
Design or critique an A/B test or controlled product experiment with statistical rigor — pre-registered falsifiable hypothesis, sample-size/power up front, a full business cycle,…
How to read experiment results without fooling yourself. Confidence intervals, p-values, multiple testing, sequential testing, CUPED, heterogeneous treatment effects, ratio…
Use when a feature launch needs experiment design, test sequencing, rollout guardrails, and measurement logic before exposure to users.
A platform decision framework for experimentation. When to use Statsig vs PostHog vs GrowthBook vs Optimizely vs Amplitude vs Eppo vs Kameleoon. How to migrate between them.
Experimentelle Behandlung Vertrag: moderner Medizinrechts-Skill für Behandlungsvertrag für innovative Methode, keine Erfolgsgarantie, Aufklärung und Abgrenzung…
Experimentelle: Schriftsatz-, Brief- und Memo-Bausteine: prüft konkret die einschlägigen Tatbestandsmerkmale, Fristen, Belege und Rechtsprechung.
Experimentelle: Schriftsatz-, Brief- und Memo-Bausteine im Einfache und leichte Sprache im Recht: 1. Welche Rolle hat die fragende Person und wer ist Gegenüber? 2.
Activate experimenter when designing and running small, safe experiments to test improvements in skills, behavior, workflows or mental models.
Guides work on `packages/frontend/editor-ui` experiments. Use when creating, extending, wiring, testing, reviewing, or retiring editor-ui experiments, PostHog feature flags,…
Find domain experts, thought leaders, and subject-matter authorities on any topic. Searches Twitter and Reddit for people who demonstrate deep knowledge, frequent discussion, and…
Expert-level guidance for creating high-quality Claude Code skills. Use alongside Anthropic's skill-creator when creating new skills, improving existing skills, or needing…
Read the survey documentation behind a KOSIS table -- its purpose, legal basis, cycle, and key terms.
Use when creating interactive scrollytelling pages, playable essays, model-driven explanations, or explorable explanations for concepts, phenomena, societal issues, geopolitical…
Evaluates and improves the exploration-cycle skills, prompts, routing, and artifact quality using baseline-first, one-hypothesis iteration loops with keep-discard decisions and…
Interactive co-authoring skill for the wide end of the exploration funnel. Captures and refines the core intent, whether the outcome is a software app, a business process…
Use when researching an unfamiliar external API before integration to verify feasibility, integration patterns, and limitations
Manual invocation only; use only when the user explicitly requests `explore-dnn-model` by name. Explore how to run a given DNN model checkpoint in the current Python environment…
Rigor Improve / Rigor Explore run leaf skill for bounded exploratory evidence in deep learning research repositories.
Use at the very start of a new product idea — before a PRD, PCD, repo, or name exists, and any time someone says "I have an idea for", "should we build", "let's scope out", or…
Exploratory data analysis using ydata-profiling. Use when users upload .csv/.xlsx/.json/.parquet files or request "explore data", "analyze dataset", "EDA", "profile data" — from…
Exploratory data analysis using ydata-profiling. Use when users upload .csv/.xlsx/.json/.parquet files or request "explore data", "analyze dataset", "EDA", "profile data" — from…
Reads and searches source code across ALL scopes: external library dependencies, plugins (buildscript), and Gradle Build Tool internal source code; use whenever you need to…
Parallelizes codebase exploration and research by launching multiple subagents simultaneously. Use when exploring codebases, researching questions, investigating bugs, gathering…
Documentation for the logistic regression MI estimation experiment (exps_logistic) — from majiayu000/claude-skill-registry
Documentation for the logistic regression MI estimation experiment (exps_logistic) — from majiayu000/claude-skill-registry
PostgreSQL's extended statistics — `CREATE STATISTICS`, `pg_statistic_ext`, `pg_statistic_ext_data` — the 4 stat kinds (dependencies / ndistinct / mcv / expressions) that help the…
Use when a task needs the judgment of a Cooperative Extension educator — designing a farm, family/consumer-sciences, or 4-H education program, defending a county appropriation…
Use when the user requests Antigravity CLI, agy, Cursor Agent CLI, cursor-agent, Grok CLI, grok, or explicitly authorizes an independent external-agent review, challenge, or…
Comprehensive external research methodology using web search, URL fetching, and documentation APIs for authoritative, version-aware documentation gathering
Use when deciding whether external research is needed and turning cited findings into repo actions. Triggers:
Parse and document algorithm pseudocode from research papers. Use when preparing for implementation. — from science/science-misc
Parse and document algorithm pseudocode from research papers. Use when preparing for implementation. — from majiayu000/claude-skill-registry
Future-works analysis skill with two modes. Mode audit: review one manuscript's own future-works / conclusion / limitations section (.tex/.md) — presence, testability, link to a…
Turns raw health materials (PDFs, scanned documents, images, spreadsheets, exported files) into two layers: first a faithful, fully traceable extraction of each source; then a set…
Extracts materials-synthesis recipes from free-form text (papers, abstracts, lab notes) into a strict JSON schema.
Extracts and documents design tokens (colors, typography, spacing, shadows, etc.) from Figma designs. Updates the "デザイントークン" section in screen spec.md.
Extracts interaction specifications from Figma designs (hover states, transitions, animations, triggers). Updates the "インタラクション" section in screen spec.md.
Extracts interaction specifications from Figma designs (hover states, transitions, animations, triggers). Updates the "インタラクション" section in screen spec.md.
Use when designing or auditing ACM FAccT empirical work — quantitative fairness audits with disaggregated metrics and fair baselines, qualitative and participatory studies with…