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Browse reusable Agent Skills, each with a clear purpose and practical guidance.

frontend-v2-patterns

Cross-cutting feature patterns for the RomM v2 frontend — error/snackbar handling, loading & skeleton states, real-time Socket.IO updates, UI state persistence (URL vs localStorage vs ephemeral), pagination/infinite scroll, forms & validation, permissions (useCan), and destructive confirmations. Use when wiring up a v2 feature's behavior (not just its markup). Trigger when implementing data flows, dialogs, forms, toggles, or permission gating under frontend/src/v2/.

11.17k repo starsObserved in 1 repos
Development
GitHub

frontend-v2-theming

Theming, design tokens, colors, and visual language in the RomM v2 frontend. Use when styling v2 components, picking colors, adding/using CSS variables, working with light/dark themes, or whenever you'd reach for a hex/rgba literal. Covers the token pipeline (src/v2/tokens/index.ts → build:tokens → tokens.css), the .r-v2 scope classes, the zero-hex-literal policy, and shared state semantics. Trigger on any color/theme/token work under frontend/src/v2/.

11.17k repo starsObserved in 1 repos
Design
GitHub

pre-pr-verification

The before-handoff / before-PR verification gate for RomM, covering both stacks. Use right before committing, opening a PR, or telling the user a change is done — to run the right static checks, tests, and (for UI) manual browser/theme/input/Storybook checks so CI stays green. Covers frontend (typecheck/lint/test/build/i18n/tokens), backend (pytest/alembic/trunk), and the OpenAPI regen step. Trigger when wrapping up any change.

11.17k repo starsObserved in 1 repos
Testing & Quality
GitHub

rerun-catalog-queries

Performance patterns and gotchas for querying a Rerun catalog from Python. Reach for this when a CatalogClient/dataset query is unexpectedly slow, or when shaping a per-segment / per-episode pipeline that hits the catalog from many places.

11.13k repo starsObserved in 3 repos
Testing & Quality
GitHub

rerun-parquet

Ingest tabular Parquet files into Rerun chunk streams with rerun.experimental.ParquetReader. Read when converting trajectory or sensor tables (LeRobot-style parquet, exported logs) into entities and components — column grouping, timeline/index columns, static columns, and lenses (DeriveLens) that assemble the typed components (Transform3D, Scalars) from the reader's grouped struct/scalar output. Builds on rerun-chunk-processing and rerun-data-model.

11.13k repo starsObserved in 3 repos
Development
GitHub

rerun-chunk-processing

Core mechanics of the Rerun Chunk Processing API (rerun.experimental) — LazyChunkStream pipelines, Chunk, lenses (MutateLens/DeriveLens/Selector), RrdReader, writing optimized RRDs. Read BEFORE writing any ingestion/conversion/preprocessing code (convert an MCAP, build a recording from a dataset, preprocess an .rrd, port an old converter): it mandates reader+lens pipelines and steers away from hand-built chunks — no Chunk.from_columns for data a reader/lens can produce, no per-message rr.log, no manual pa.array assembly. Source-specific knowledge lives in the importer skills (rerun-mcap, rerun-urdf, rerun-parquet, rerun-lerobot); read rerun-data-model first to decide what the data should become.

11.13k repo starsObserved in 2 repos
Development
GitHub

rerun-data-model

How raw multimodal robot data maps onto the Rerun data model. Read FIRST, before modeling or converting a dataset — and whenever you are about to convert/ingest/preprocess robot data into an .rrd or build a Rerun recording, even if not asked for the data model. Resolves the entity-vs-component, property-vs-component-vs-layer, and static-vs-temporal decisions and routes to the mechanism (do it with readers and lenses, not hand-built chunks or per-message rr.log): rerun-chunk-processing and the importer skills rerun-mcap, rerun-urdf, rerun-parquet, rerun-lerobot.

11.13k repo starsObserved in 2 repos
Development
GitHub

add-memory-kind

Add a new business memory kind end-to-end. Pick the storage combination (Markdown / SQLite / LanceDB), pick the markdown strategy (daily-log / skill-named / single-file), then wire up the schema(s), repo(s), and writer(s).

11.07k repo starsObserved in 3 repos
Development
GitHub

new-branch

Create a GitHub branch from main with the project naming convention

11.07k repo starsObserved in 2 repos
Development
GitHub

breaking-changes

Review a PR for possible breaking changes.

10.98k repo starsObserved in 1 repos
Testing & Quality
GitHub