Skills.
Give your AI a better way to work.
A skill is a set of written instructions that teaches an AI how to do one job the way it should be done: review a pull request, plan a migration, write the release notes.
Install one here and it travels with your account into Claude, Claude Code, Cursor and every other client you sign in with.
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55,286 results · page 795 of 1,843
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education-data-source-mepsSkillDev tools
MEPS — Urban Institute modeled school-level poverty (% at 100% FPL) for public schools. MEPS 2.0 (released 2025-12-11) covers school years 2009-10 through 2022-23 and is planned for annual updates; Portal year 2022 returned rows while 2023 was empty on 2026-08-06 (re-probed). Use when FRPL is unreli
Ready to connect★ 235
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education-data-source-nacuboSkillCommerce & finance
NACUBO endowment data (~650 institutions, 2012-2022). Portal: 7 columns only (total endowment, per-FTE, YoY change). Use for endowment size/trends. Full investment/spending needs direct NACUBO access. For all-institution coverage use IPEDS finance.
Ready to connect★ 235
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education-data-source-nccsSkillCommerce & finance
NCCS — Form 990 data for private nonprofit colleges (Portal: IPEDS-matched, 1993-2016). Revenue, expenses, assets, endowment, governance beyond IPEDS. Use when IRS financial depth needed. Portal ends 2016; public institutions excluded (no Form 990).
Ready to connect★ 235
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education-data-source-nhgisSkillFiles & storage
NHGIS — census geography crosswalks via Portal: links schools (ncessch) and colleges (unitid) to census tracts, block groups, CBSAs, and regions (census-geography vintages 1990-2020; mirror file-year/linkage coverage 1980-2023). Portal provides geography linkage tables ONLY; browse census demographi
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education-data-source-pseoSkillDev tools
PSEO — Census data linking graduates to employment via LEHD wage records. Earnings percentiles at 1/5/10 years post-graduation by institution, degree, and CIP. Use for graduate earnings analysis. Coverage changes by release; Census V4.13.0 (2025Q4) lists 952 institutions and partners in 32 states pl
Ready to connect★ 235
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education-data-source-saipeSkillDev tools
SAIPE — annual Census poverty estimates for school districts (Portal; county/state not in Portal). Use for district poverty, Title I context, or trends. ~18-month lag. No race/ethnicity disaggregation at district level — use ACS 5-year for that.
Ready to connect★ 235
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education-data-source-scorecardSkillDatabases & data
College Scorecard — post-enrollment outcomes linking aid records to IRS/Treasury earnings. Earnings, loan repayment, debt via six Portal sub-datasets. Use when tax-record-based earnings needed. Tracks only Title IV aid recipients, not all students.
Ready to connect★ 235
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election-data-source-countypresSkillDev tools
County Presidential Returns 2000-2024 (MIT MEDSL). Vote shares, party trends, turnout by county_fips (joins census/education data). Requires HARVARD_DATAVERSE_API_KEY set via environment_settings.txt. Critical: naive mode='TOTAL' filtering silently drops ~1,000 counties in post-2020 data where state
Ready to connect★ 235
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fixestSkillDev tools
Fast high-dimensional fixed effects in R: feols/fepois/feglm/fenegbin with multi-way FE; IV estimation; DiD (TWFE, Sun-Abraham via sunab); clustered/ heteroskedasticity-robust SEs; etable/coefplot/iplot for reporting. Use when execution language is R. Python equivalent: pyfixest. For panel RE/betwee
Ready to connect★ 235
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ggplot2SkillDev tools
R visualization with ggplot2 grammar of graphics. Geoms, aesthetics, scales, facets, coords, themes. Extensions: patchwork, ggrepel, ggridges, ggdist. Use when execution language is R. Python equivalent: plotnine.
Ready to connect★ 235
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great-tablesSkillDocs & knowledge
Python table formatting with great-tables: publication-quality display tables from Polars/pandas DataFrames. GT() grammar-of-tables object, fmt_*() number formatting, tab_*() structure (header, spanners, stub, source notes), tab_style() and data_color() styling, cols_*() column operations, and HTML/
Ready to connect★ 235
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gtSkillDev tools
R table formatting with gt, kableExtra, modelsummary. Publication-quality tables: gt() grammar-of-tables, fmt_*() formatting, tab_*() structure, gtsave() export. Use when execution language is R. Python equivalent: great-tables (use when execution language is Python).
Ready to connect★ 235
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igraphSkillDev tools
Network/graph analysis with python-igraph: graph construction from edge-list DataFrames (Polars round-trip), centrality (degree, betweenness, closeness, eigenvector, PageRank), community detection (Leiden, Louvain, walktrap) with seed discipline, paths/components, bipartite construction and projecti
Ready to connect★ 235
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igraph-rSkillDev tools
R network analysis with igraph fronted by tidygraph + ggraph: graph construction from edge-list tibbles (tidyverse round-trip), centrality (degree, betweenness, closeness, eigenvector, PageRank), community detection (Leiden, Louvain, walktrap) with seed discipline, shortest paths, components, bipart
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linearmodelsSkillAI & models
Panel data, IV/GMM, system regression. PanelOLS (FE/RE), BetweenOLS, Fama-MacBeth, IV2SLS/LIML/GMM, SUR, 3SLS, Driscoll-Kraay SEs. Use for RE/between, system estimation, or GMM. Complements pyfixest (FE + DiD) and statsmodels (GLM + time series). R equivalent: plm (use when execution language is R).
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marimoSkillDatabases & data
Reactive Python notebook system with cell reactivity, UI elements, SQL cells, plotting, and app deployment. DAAF's standard notebook format — stored as Git-friendly .py files, not .ipynb. For DAAF pipelines, Stage 9 literally archives existing executed scripts in bounded comment/pass cells paired wi
Ready to connect★ 235
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plmSkillAI & models
R panel data models with plm: within (FE), random (RE), between, first difference, Fama-MacBeth. Hausman test, panel unit root tests. Includes estimatr for robust estimation and lme4 for mixed effects. Use when execution language is R. Python equivalent: linearmodels. For high- dimensional FE use fi
Ready to connect★ 235
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plotly-rSkillDev tools
Interactive R visualization with plotly: plot_ly() for scatter, line, bar, heatmap, 3D charts; ggplotly() to convert ggplot2 objects; layout() for customization; htmlwidgets::saveWidget() for export. Use when execution language is R and interactivity needed. Python equivalent: plotly. For static fig
Ready to connect★ 235
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plotnineSkillDev tools
plotnine static visualization (ggplot2 syntax for Python). Geoms, aesthetics, scales, coordinates, facets, themes. Use for static publication-quality figures with grammar-of-graphics syntax. For interactive charts use plotly; for maps use geopandas. R equivalent: ggplot2 (use when execution language
Ready to connect★ 235
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pyfixestSkillAI & models
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. R equivalent: fixest (use when execution language i
Ready to connect★ 235
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python-r-translationSkillAI & models
Python-to-R translation for data analysis. Maps Python (polars, plotnine, pyfixest, statsmodels, svy, geopandas) to R (tidyverse, ggplot2, fixest, survey, sf). Use when user has Python background or requests Python-equivalent code comments in R pipelines.
Ready to connect★ 235
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quartoSkillDocs & knowledge
Quarto document system for R: .qmd format with knitr engine, YAML frontmatter, code chunks with execution options, rendering to HTML/PDF. DAAF's R notebook format — Stage 9 literally archives executed R scripts in globally and per-chunk non-evaluating chunks paired with real execution logs. Optional
Ready to connect★ 235
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r-python-translationSkillDev tools
R-to-Python translation for data analysis. Maps R packages (tidyverse, ggplot2, fixest, survey, sf, plm) to Python equivalents (polars, plotnine, pyfixest, svy, geopandas). Use when user has R background or requests R-equivalent code comments.
Ready to connect★ 235
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r-statsSkillDev tools
R statistical modeling with base stats, sandwich, lmtest, car, broom. OLS/WLS/ GLS via lm(), GLMs via glm() (logit, probit, Poisson, negative binomial), robust/clustered SEs via sandwich+lmtest, diagnostics via car, tidy output via broom. Use when execution language is R. Python equivalent: statsmod
Ready to connect★ 235
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releng-nextSkillDev tools
Switch all GLSP repositories from their release version to the next nightly (`-next`) version after a release — fresh-clones every repo, runs `releng prepare next` to open "Switch to nightly" PRs, and optionally polls CI and squash-merges each PR once green.
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science-communicationSkillDev tools
Translating technical findings for non-technical audiences. Narrative frameworks (Pyramid Principle, SCQA), plain-language translation, executive summaries, policy briefs, causal language. Use when presenting to stakeholders or reviewing deliverables
Ready to connect★ 235
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sf-terraSkillDev tools
R spatial data: sf vectors, terra rasters, spdep/spatialreg spatial stats, leaflet interactive maps, ggplot2+geom_sf() choropleths. CRS, spatial joins, geometry ops. Use when execution language is R. Python equivalent: geopandas.
Ready to connect★ 235
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stata-python-translationSkillAI & models
Stata-to-Python translation for data analysis. Maps Stata commands (reghdfe, xtreg, ivregress, margins, esttab, svy:) to Python (polars, pyfixest, statsmodels, svy). Use when user has Stata background or requests Stata-equivalent code comments in Python pipelines.
Ready to connect★ 235
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stata-r-translationSkillDev tools
Stata-to-R translation for data analysis. Maps Stata commands (reghdfe, xtreg, ivregress, margins, esttab, svy:) to R equivalents (fixest, plm, survey, marginaleffects, modelsummary). Use when user has Stata background or requests Stata-equivalent code comments in R pipelines.
Ready to connect★ 235
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survey-rSkillDev tools
Complex survey analysis in R with survey (Lumley): svydesign, svymean/svytotal, svyglm, svyby domains, replicate weights (BRR, jackknife, bootstrap). Use when execution language is R. Python equivalent: svy. lm(weights=) is NOT survey analysis.
Ready to connect★ 235
What is a skill?
A skill is plain text, usually a SKILL.md file and the scripts it refers to, written for an AI rather than for a person. It carries the steps, the house rules and the examples a good answer needs, so you stop pasting the same briefing into every new chat.
54,855 of the 55,286 skills listed here can be served through ahel today, and they come from public repositories. Each one has its own page with the instructions themselves on it, so you can read what a skill will tell your AI to do before you install it.
Install one and every AI you use gets it
Installing a skill adds it to your gateway and turns it on in the same step. Claude Code surfaces it as a slash command; any client can read the full instructions with the skill_read tool.
Nothing is copied into a project folder. The instructions are served from your account, so the same skill is there in every AI you connect, and turning it off removes it from all of them at once.