Gather shot feedback, analyze extraction, recommend adjustments, and record results. Use when user says: "/feedback", "I just pulled a shot", "how was that", "it tasted [sour/bitter/flat/good]", provides a star rating, shares taste observations, or asks "what should I adjust" after a shot. Owns the full shot feedback loop: gathering, analysis, tasting notes, and drink format.
Guides LLM-based text classification for survey and experimental text data. Covers codebook design, learning regime selection, model choice, human-LLM hybrid workflows, and validation. Use when (1) designing an LLM classification scheme for open-ended survey responses, (2) writing a codebook for LLM text annotation, (3) choosing between zero-shot, few-shot, fine-tuning, or instruction-tuning, (4) selecting a model for classification, (5) validating LLM classifications against human-coded ground truth, (6) implementing hybrid human-LLM workflows, (7) addressing reproducibility concerns, or (8) reporting LLM classification methods and results.
Guides the design of cross-national comparative survey experiments. Use when (1) selecting countries for a multi-country study, (2) localizing experimental instruments across languages and institutional contexts, (3) calibrating origin-country stimuli for immigration experiments, (4) conducting per-country power analyses, or (5) planning a cross-national analytical strategy with pooled and per-country models. Covers case selection, instrument localization, ecological validity, power management, and sensitivity bias auditing.
Diagnose espresso extraction issues by correlating machine telemetry with taste feedback. Use when user says: "what went wrong", "analyze that shot", "why did it taste [sour/bitter/flat]", "my shots are inconsistent", or asks about pressure spikes, flow issues, or extraction problems. Fetches shot data via analyze_shot MCP tool, interprets patterns, and provides actionable recommendations.
Guides design, estimation, and diagnostics for list experiments (item count technique, ICT). Use when (1) deciding whether a list experiment is warranted for a sensitive question, (2) designing the control list or choosing baseline items, (3) selecting between design variants (single, double, placebo), (4) choosing an estimator (difference-in-means, multivariate NLSreg/MLreg, combined), (5) testing the identifying assumptions (no design effect, no floor/ceiling), (6) assessing or diagnosing mechanical inflation or artificial deflation, or (7) interpreting list experiment results in relation to direct question estimates. Covers the full pipeline from pre-design sensitivity assessment through statistical inference and power analysis.
Laboratory automation toolkit for controlling liquid handlers, plate readers, pumps, heater shakers, incubators, centrifuges, and analytical equipment. Use this skill when automating laboratory workflows, programming liquid handling robots (Hamilton STAR, Opentrons OT-2, Tecan EVO), integrating lab equipment, managing deck layouts and resources (plates, tips, containers), reading plates, or creating reproducible laboratory protocols. Applicable for both simulated protocols and physical hardware control.
Diff-scoped mutation testing to verify test quality beyond coverage metrics. Detects language, selects the appropriate tool (Stryker, mutmut, cargo-mutants, PIT, gremlins), and runs mutations only on changed code. Use when asked to run mutation testing, check test quality, find weak tests, verify test coverage is meaningful, or "are my tests actually catching bugs?". Also use after TDD cycle completes or when bugmagnet identifies test coverage gaps. Triggers on: mutation testing, mutant, test quality, weak tests, test effectiveness, "do my tests catch bugs", "are these tests good enough", "verify test quality", "mutation score".
Validate claims through tool execution, avoid superlatives and unsubstantiated metrics. Use when reviewing codebases, analyzing systems, reporting test results, or making any factual claims about code or capabilities.
Manages medication schedules, tracks adherence (doses taken vs. due), identifies missed dose patterns, and monitors refill timelines. Use when the user logs medications, asks about adherence, or needs a medication schedule.
Query-first dataset access with @domoinc/query including filters, grouping, date grains, and performance constraints.
Phylogenetic tree toolkit (ETE). Tree manipulation (Newick/NHX), evolutionary event detection, orthology/paralogy, NCBI taxonomy, visualization (PDF/SVG), for phylogenomics.
Access Human Metabolome Database (220K+ metabolites). Search by name/ID/structure, retrieve chemical properties, biomarker data, NMR/MS spectra, pathways, for metabolomics and identification.
Primary Python toolkit for molecular biology. Preferred for Python-based PubMed/NCBI queries (Bio.Entrez), sequence manipulation, file parsing (FASTA, GenBank, FASTQ, PDB), advanced BLAST workflows, structures, phylogenetics. For quick BLAST, use gget. For direct REST API, use pubmed-database.
Full token lifecycle from creation through bonding curve trading, graduation detection, AMM migration, fee collection, and volume tracking on Solana using PumpSdk and OnlinePumpSdk.
Use this skill when working with scientific research tools and workflows across bioinformatics, cheminformatics, genomics, structural biology, proteomics, and drug discovery. This skill provides access to 600+ scientific tools including machine learning models, datasets, APIs, and analysis packages. Use when searching for scientific tools, executing computational biology workflows, composing multi-step research pipelines, accessing databases like OpenTargets/PubChem/UniProt/PDB/ChEMBL, performing tool discovery for research tasks, or integrating scientific computational resources into LLM workflows.
Comprehensive biosignal processing toolkit for analyzing physiological data including ECG, EEG, EDA, RSP, PPG, EMG, and EOG signals. Use this skill when processing cardiovascular signals, brain activity, electrodermal responses, respiratory patterns, muscle activity, or eye movements. Applicable for heart rate variability analysis, event-related potentials, complexity measures, autonomic nervous system assessment, psychophysiology research, and multi-modal physiological signal integration.
TAM/SAM/SOM calculation, competitor analysis, and market trends identification. Use when analyzing markets, validating business ideas, or entering new markets.
Automated reproduction of comprehensive model evaluation benchmarks following the Benchmark Suite V3. Auto-activates for model benchmarking, comparison evaluation, or performance testing between AI models.
This skill generates interactive Causal Loop Diagram (CLD) MicroSims using the vis-network JavaScript library. Use this skill when users need to create causal loop diagrams for systems thinking education, showing feedback loops, reinforcing and balancing dynamics. The skill creates a complete MicroSim package with index.md, main.html, JavaScript, JSON data, and CSS files in the /docs/sims/ directory. This skill should be used when users request creating CLDs, causal diagrams, feedback loop visualizations, or systems thinking diagrams.
This skill generates comprehensive chapter content for intelligent textbooks after the book-chapter-generator skill has created the chapter structure. Use this skill when a chapter index.md file exists with title, summary, and concept list, and detailed educational content needs to be generated at the appropriate reading level with rich non-text elements including diagrams, infographics, and MicroSims. (project, gitignored)
