Enhance author profiles by filling missing fields. Use when asked to "enhance author", "complete author profile", "find author info", or "update author details".
Score 70/100
Enhance book notes with Blinkist-style summaries. Use when asked to "enhance notes", "improve book notes", "add key insights", "expand notes", or "make notes better".
Score 70/100
Query Ensembl genome database REST API for 250+ species. Gene lookups, sequence retrieval, variant analysis, comparative genomics, orthologs, VEP predictions, for genomic research.
Score 70/100
Query Ensembl genome database REST API for 250+ species. Gene lookups, sequence retrieval, variant analysis, comparative genomics, orthologs, VEP predictions, for genomic research.
Score 70/100
Apply Gremlin's enterprise chaos engineering methodology. Emphasizes categorized failure injection, safety controls, and structured experimentation.
Score 70/100
Enforce a Divergent-Convergent Scan loop to overcome 'Prevalent Noun Bias' and statistical probability reflexes (System 1).
Score 70/100
Analyzes events through environmental lens using ecological principles, systems thinking, sustainability frameworks, and conservation biology to assess ecosystem health,…
Score 70/100
Frame an epic as a testable hypothesis with target user, expected outcome, and validation method. Use when defining a major initiative before roadmap, discovery, or delivery…
Score 70/100
Epistemological tracking system for managing facts, conclusions, and provenance chains with Git integrity and semantic search.
Score 70/100
Generate comprehensive equity research snapshots combining analyst consensus estimates, company fundamentals, historical prices, and macroeconomic context.
Score 70/100
Protein language models (ESM3, ESM C) for sequence generation, structure prediction, inverse folding, and embeddings.
Score 70/100
View investment accounts, check portfolio, monitor positions, and research investments on E*TRADE
Score 70/100
Competitor research — pricing comparison, bestseller analysis, differentiation strategy
Score 70/100
Etsy search optimization — long-tail keywords, tag research, competitor analysis, seasonal trends
Score 70/100
Etsy SEO analyzer and optimizer. Improve search visibility with title optimization, tag analysis, description scoring, and keyword research.
Score 70/100
Two-stage paper screening - abstract scoring then deep dive for specific data extraction
Score 70/100
Evaluates LLMs across 60+ academic benchmarks (MMLU, HumanEval, GSM8K, TruthfulQA, HellaSwag). Use when benchmarking model quality, comparing models, reporting academic results,…
Score 70/100
Comprehensive research skill using Exa AI tools for web search and code context retrieval. Use when conducting research on technologies, finding code examples, discovering latest…
Score 70/100
Semantic search, similar content discovery, and structured research using Exa API. Use when you need semantic/embeddings-based search, finding similar content, or searching by…
Score 70/100
Executes Exa AI search queries via unified Python CLI. Use when searching the web for current information, finding code examples, researching APIs, SDKs, or retrieving programming…
Score 70/100
Analyze messy and unstructured Excel files to identify data quality issues, detect format inconsistencies, find missing values, and generate comprehensive analysis reports.
Score 70/100
Execute systematic feature development using EPIC methodology (Explore, Research, Plan, Validate, Implement, Review, Iterate).
Score 70/100
Transforms research findings into executive-ready briefings. Automatically activated when user mentions 'executive', 'briefing', 'C-suite', 'board', 'leadership', or…
Score 70/100
Build executive presence through intentional personal brand development using Gartner research methodology
Score 70/100
A/B test design, hypothesis documentation, sample size calculation, feature flag implementation, and statistical significance analysis.
Score 70/100
Given a research goal, use existing skills, training reports, and references to propose a small, concrete experiment plan.
Score 70/100
Analyze GRPO training runs for learning dynamics and pipeline performance. Use when diagnosing training issues, reviewing Elo progression, checking throughput, or updating…
Score 70/100
Analyze completed experiments and craft executive-ready summaries with insights and recommendations.
Score 70/100
Analyze completed growth experiment results, validate hypotheses, generate insights, and suggest follow-up experiments.
Score 70/100
Workflow 1.5: Bridge between idea discovery and auto review. Reads EXPERIMENT_PLAN.md, implements experiment code, deploys to GPU, collects initial results.
Score 70/100
Prepare an experiment brief outlining hypothesis, design, success metrics, and operational plan.
Score 70/100
Recommends using Hydra or YAML for experiment configuration to ensure clarity and reproducibility.
Score 70/100
Design and run lean experiments — hypothesis, cheapest test, success criteria, decision. Use when you need to validate before you build.
Score 70/100
Generates a rigorous experiment design given a hypothesis. Use when asked to design experiments, plan experiments, create an experimental setup, or figure out how to test a…
Score 70/100
Design, evaluate, and document experiments, A/B tests, product tests, growth tests, validation tests, hypotheses, primary metrics, guardrails, sample considerations, decision…
Score 70/100
Use when planning product experiments, writing testable hypotheses, estimating sample size, prioritizing tests, or interpreting A/B outcomes with practical statistical rigor.
Score 70/100
Compare experimental method details between two Zotero PDF papers, identify protocol differences (ratios, dosages, timing, conditions), search supporting literature to explain why…
Score 70/100
Apply the scientific method to any CEO initiative — define a metric, make ONE change per cycle, measure impact, keep or discard, repeat.
Score 70/100
Ontwerp een experiment om je aanname zo snel en makkelijk mogelijk te valideren. Twee routes: nieuw product of bestaand product.
Score 70/100
Turn a refined research proposal or method idea into a detailed, claim-driven experiment roadmap. Use after `research-refine`, or when the user asks for a detailed experiment…
Score 70/100
Create a new experiment workspace directory: initialize git, write an AGENTS.md goal doc, and create references/ with index.md + notes/links markdown plus GitHub repos cloned…
Score 70/100
Use when designing experiments to test whether a Claude Code skill is effective, or when planning how to validate a new or improved skill
Score 70/100
Manages ML experiment tracking with MLflow, Weights & Biases, or SpecWeave's built-in tracking. Activates for "track experiments", "MLflow", "wandb", "experiment logging",…
Score 70/100
Audit ML experiment tracking infrastructure for reproducibility gaps, parameter logging completeness, metric capture, artifact management, and pipeline orchestration.
Score 70/100
Planning or executing thesis experiments. Covers the lifecycle from ideation through polishing, tracking table, SPEC.md format, stage structure.
Score 70/100
Statistical analysis and reporting for experimental datasets; use when you need to interpret experimental results, test significance (t-tests/ANOVA), or generate reproducible…
Score 70/100
Best practices for designing reproducible ML experiments. Use when planning ablations, baselines, or controlled experiments.
Score 70/100
A/B testing, randomization, sample size calculation, confounding control, and causal inference for data science.
Score 70/100
Experimental design principles for scientific inquiry. Covers variable identification and control, control groups (positive and negative), randomization, blinding, sample size and…
Score 70/100
Experimental methods for physics including measurement, uncertainty analysis, and experimental design.
Score 70/100
Use when theoretical calculations need experimental validation, protocols must be designed with clear hypotheses and success criteria, or resource requirements (equipment,…
Score 70/100
Do experiment-driven research (hypotheses → minimal repros → evidence) and continuously improve research skills + tooling.
Score 70/100
Use when a feature launch needs experiment design, test sequencing, rollout guardrails, and measurement logic before exposure to users.
Score 70/100
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…
Score 70/100
Evaluates and improves the exploration-cycle skills, prompts, routing, and artifact quality using baseline-first, one-hypothesis iteration loops with keep-discard decisions and…
Score 70/100
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…
Score 70/100
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…
Score 70/100
Exploratory data analysis using ydata-profiling. Use when users upload .csv/.xlsx/.json/.parquet files or request "explore data", "analyze dataset", "EDA", "profile data".
Score 70/100
Parallelizes codebase exploration and research by launching multiple subagents simultaneously. Use when exploring codebases, researching questions, investigating bugs, gathering…
Score 70/100
Parse and document algorithm pseudocode from research papers. Use when preparing for implementation.
Score 70/100