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Docs, README files, API references, tutorials, specs, and changelogs
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- Make ReleasePrepare and publish a new release for the bpmdetect project. You manage the release process: update the changelog, determine the version bump, run pre-commit checks, bump the version, and push, and align GitHub release notes with the changelog.Votes: 0GitHub stars: 15
- Stata R TranslationStata-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.Votes: 0GitHub stars: 235
- Skill AuthoringGuide for creating and auditing DAAF skills (SKILL.md). Covers frontmatter, metadata vocabulary, progressive disclosure, decision trees, reference files. Use when creating, reviewing, or debugging skill loading. For agent files, use agent-authoring.Votes: 0GitHub stars: 235
- R Python TranslationR-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.Votes: 0GitHub stars: 235
- QuartoQuarto 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 display-only content may preview existing Parquet data or show already-created figures, but may not analyze data or generate figures. Use when execution language is R. Python equivalent: marimo.Votes: 0GitHub stars: 235
- Python R TranslationPython-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.Votes: 0GitHub stars: 235
- Ggplot2R 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.Votes: 0GitHub stars: 235
- FixestFast 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/between use plm; for GLM without FE use r-stats.Votes: 0GitHub stars: 235
- Election Data Source CountypresCounty 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 states report by vote mode (absentee, election-day, provisional) instead of totals — use 3-pattern reconstruction (TOTAL-present rows kept, breakdown-only counties summed across modes, empty-string mode...Votes: 0GitHub stars: 235
- ReviewReview working changes - code quality, security, library correctness, and standards auto-fixVotes: 0GitHub stars: 7
- PrCreate a pull request for the current branchVotes: 0GitHub stars: 12
- CommitStage and commit changes using Conventional CommitsVotes: 0GitHub stars: 12
- Create PackageCreate a new package in the One Page monorepo with the required LICENSE symlink, README, and workspace registration. Use when adding a new core or feature package.Votes: 0GitHub stars: 19
- Zarr PythonChunked N-D arrays for cloud storage (Zarr-Python 3). Compressed arrays, parallel I/O, S3/GCS via fsspec, NumPy/Dask/Xarray compatible, for large-scale scientific computing pipelines.Votes: 0GitHub stars: 8
- WayfinderPlan a huge chunk of work (more than one agent session can hold) as a shared map of decision tickets on your issue tracker, and resolve them one at a time until the way to the destination is clear.Votes: 0GitHub stars: 8
- Variant AnnotationAnnotate VCF variants with Ensembl VEP REST, ClinVar significance, gnomAD/population frequency context, and prioritizedVotes: 0GitHub stars: 8
- Turingdb GraphBuild, query, and analyse biomedical knowledge graphs in TuringDB, a columnar graph database with git-like versioning.Votes: 0GitHub stars: 8
- TransformersHugging Face Transformers for loading Hub models, running pipeline inference, text generation, and Trainer fine-tuning on NLP, vision, audio, and multimodal tasks. Use when working with AutoModel, pipelines, tokenizers, or TrainingArguments—not for general ML outside the Transformers library.Votes: 0GitHub stars: 8
- Struct PredictorProtein structure prediction with Boltz-2. Accepts YAML inputs (single protein or multi-chain complex), runsVotes: 0GitHub stars: 8
- Stripe Best PracticesGuides Stripe integration decisions — API selection (Checkout Sessions vs PaymentIntents), Connect platform setup (Accounts v2, controller properties), billing/subscriptions, Treasury financial accounts, integration surfaces (Checkout, Payment Element), and migrating from deprecated Stripe APIs. Use when building, modifying, or reviewing any Stripe integration — including accepting payments, building marketplaces, integrating Stripe, processing payments, setting up subscriptions, or creating ...Votes: 0GitHub stars: 8
- Skill BuilderScaffold a new ClawBio skill from a spec file (JSON/YAML) or interactively — generates SKILL.md, Python skeleton, tests, and updates catalog.jsonVotes: 0GitHub stars: 8
- Shopify Custom DataUse first when prompts mention Metafields or Metaobjects. Use Metafields and Metaobjects to model and store custom data for your app. Metafields extend built-in Shopify data types like products or customers, Metaobjects are custom data types that can be used to store bespoke data structures. Metafield and Metaobject definitions provide a schema and configuration for values to follow.Votes: 0GitHub stars: 8
- Scvi ToolsDeep generative models for single-cell omics. Use when you need probabilistic batch correction (scVI), transfer learning, differential expression with uncertainty, or multi-modal integration (TOTALVI, MultiVI). Best for advanced modeling, batch effects, multimodal data. For standard analysis pipelines use scanpy.Votes: 0GitHub stars: 8
- Scrna OrchestratorLocal Scanpy pipeline for single-cell RNA-seq QC, optional doublet detection, clustering, marker discovery, optionalVotes: 0GitHub stars: 8