Extract atomic insights from raw source material. Takes articles, transcripts, meeting notes, or any unstructured input and produces structured claims with provenance metadata. The foundational extraction step of the 6R processing pipeline. Triggers on: "extract", "reduce", "distill", "summarize source"
Scientific method scaffolding — hypothesis → experiment → evidence → conclusion. Use when you need rigorous causal reasoning rather than vibes-based debugging.
Search 24,500+ UK government repositories using natural language queries
Research UK government grants, charitable funding, and accelerator programmes with eligibility scoring
SwiftData class inheritance patterns for hierarchical models with type-based querying, polymorphic relationships, and when to choose inheritance vs enums. Use when designing SwiftData model hierarchies.
Systematic market analysis skill for understanding market size, segmentation, trends, and opportunities. Produces quantified market intelligence.
Use when planning features and need current API docs, library patterns, or external knowledge; when testing hypotheses about technology choices or claims; when verifying assumptions before design decisions - gathers well-sourced, current information from the internet to inform technical decisions
Manage regulatory requirements, number bundles, supporting documents, and verified numbers for compliance. This skill provides Java SDK examples.
Manage regulatory requirements, number bundles, supporting documents, and verified numbers for compliance. This skill provides Go SDK examples.
Manage regulatory requirements, number bundles, supporting documents, and verified numbers for compliance. This skill provides Python SDK examples.
EADA — college athletics gender equity (~2,000+ institutions, 2002-2021). Participation, coaching, salaries, expenses, revenues, athletic aid by gender. Not Title IX compliance data. No sector column; join IPEDS on unitid for institution type.
IPEDS — primary federal postsecondary data (~6,500 institutions, 1980-present): enrollment, completions, graduation rates, finance, aid, admissions, HR. For college/university analysis. Grad rates = first-time full-time; finance needs GASB/FASB care.
NHGIS — census geography crosswalks via Portal: links schools (ncessch) and colleges (unitid) to tracts, block groups, CBSAs (1990-2020). Census demographics NOT in Portal — access NHGIS directly. Use for linking education data to census geography.
Spatial data: GeoDataFrames, spatial joins, CRS/projections, choropleth/interactive maps, spatial autocorrelation, PySAL. Use for geographic data, spatial files (Shapefile, GeoPackage, GeoParquet), or spatial stats. For charts without GIS use plotly.
Fast high-dimensional fixed effects: OLS, Poisson, IV with multi-way FE; DiD (TWFE, did2s, Sun-Abraham); clustered SEs; etable/coefplot/iplot. Use for FE regressions or DiD. For panel RE/between use linearmodels; for GLM without FE use statsmodels.
Statistical modeling: OLS/WLS/GLS, GLM (logit, probit, Poisson), time series (ARIMA, VAR), mixed effects, diagnostics. Formula API. Use for regressions without fixed effects, GLMs, or time series. For FE/DiD use pyfixest; panel/IV use linearmodels.
Classify text sentiment using NLP techniques, lexicon-based analysis, and machine learning for opinion mining, brand monitoring, and customer feedback analysis
Analyze network structures, identify communities, measure centrality, and visualize relationships for social networks and organizational structures
Use when starting, logging, or reviewing ML experiments — maintains a persistent experiment journal with hypotheses, results, and learnings across sessions
GeekNews(news.hada.io) 핫한 글을 뽑아 각각 TIL 문서를 작성합니다. 포인트 기준 상위 글을 선정하고, 기존 문서와 중복되지 않는 글만 처리합니다.
Kerberos protocol attack techniques and exploitation
