菜单
Use when ARIA-NBV work changes Zarr-Python API usage, chunking, codecs, stores, sharding, concurrency, or v2/v3 migration behavior in offline or rollout storage.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
| name | zarr-python |
| description | Use when ARIA-NBV work changes Zarr-Python API usage, chunking, codecs, stores, sharding, concurrency, or v2/v3 migration behavior in offline or rollout storage. |
| metadata | {"mode":"implementation","not_when":["ASE download, ATEK shard, manifest, split, or data smoke work with no Zarr API or storage-layout change","rollout reward, target, invalidity, or Q_H semantics with no Zarr API or storage-layout change","model training or scoring changes that only read an existing store"],"handoff_to":["dataset-cache-ops for ASE, ATEK, VIN offline store operation, manifests, splits, smoke checks, or rebuild decisions","counterfactual-rollout-planner for rollout reward, target, invalidity, or Q_H semantics","diagnose-aria for concrete Zarr tracebacks, stale stores, or failed validation commands","lrz-ai-systems for Slurm, DSS, remote filesystem, or container execution constraints"],"evidence_required":["local owner file and symbol for the touched offline or rollout Zarr path","official Zarr-Python or Context7 evidence for nontrivial API, codec, store, sharding, or migration behavior","round-trip validation or explicit blocker for changed arrays, chunks, codecs, stores, or readers"],"applies_to":["aria_nbv/aria_nbv/data_handling/**","aria_nbv/aria_nbv/rollouts/**","aria_nbv/tests/data_handling/**","aria_nbv/tests/rollouts/**",".configs/**"],"triggers":["Zarr","zarr-python","create_array","LocalStore","FsspecStore","chunking","codec","compressor","sharding","Zarr v3"],"must_read":["aria_nbv/AGENTS.md","aria_nbv/aria_nbv/data_handling/AGENTS.md","aria_nbv/aria_nbv/rollouts/AGENTS.md","aria_nbv/aria_nbv/data_handling/README.md"],"canonical_sources":["aria_nbv/AGENTS.md","aria_nbv/aria_nbv/data_handling/AGENTS.md","aria_nbv/aria_nbv/rollouts/AGENTS.md","aria_nbv/aria_nbv/data_handling/README.md","aria_nbv/pyproject.toml"],"context7_refs":["/zarr-developers/zarr-python"],"tool_refs":["mcp__MCP_DOCKER.get_library_docs","mcp__MCP_DOCKER.resolve_library_id","mcp__code_index.search_code_advanced"],"verification":["make scaffold-audit for skill guidance changes","cd aria_nbv && uv run pytest tests/data_handling/test_vin_offline_store.py tests/rollouts/test_zarr_store.py for storage behavior changes","cd aria_nbv && uv run nbv-rollouts-info --store ../.data/offline_cache/rollouts_v1_smoke.zarr --validate when rollout stores are touched"]} |
Use this skill when ARIA-NBV work changes Zarr-Python usage rather than merely operating an existing dataset or rollout artifact.
create_array, open_group, LocalStore,
FsspecStore, codec imports, or group/array creation behavior.aria_nbv/AGENTS.mdaria_nbv/aria_nbv/data_handling/AGENTS.mdaria_nbv/aria_nbv/rollouts/AGENTS.mdaria_nbv/pyproject.toml as the local dependency source; do not copy
upstream community install or Python-version claims into ARIA guidance.aria_nbv.data_handling; keep rollout
replay and q_h Zarr artifacts under aria_nbv.rollouts.VinOfflineShardWriter,
VinOfflineStoreReader, write_rollout_zarr_store, and
validate_rollout_zarr_store before adding new storage code.LocalStore, FsspecStore, concurrency, or
migration behavior, confirm current Zarr-Python docs before implementation.rg or code-index evidence.make scaffold-audit and make check-agent-memory.cd aria_nbv && uv run pytest tests/data_handling/test_vin_offline_store.py tests/data_handling/test_public_api_contract.py.cd aria_nbv && uv run pytest tests/rollouts/test_zarr_store.py tests/rollouts/test_info_cli.py.cd aria_nbv && uv run nbv-rollouts-info --store ../.data/offline_cache/rollouts_v1_smoke.zarr --validate.Use for ARIA-NBV Typst proposal/thesis authoring, shared notation, scientific prose, citations, scientific/geometric figures, tables, Mermaid inclusion, and compile/render QA.
Use for any question about a codebase, its architecture, file relationships, or project content — especially when graphify-out/ exists, where the question should be treated as a graphify query first. Turns any input (code, docs, papers, images, videos) into a persistent knowledge graph with god nodes, community detection, and query/path/explain tools.
Use to localize unknown ARIA-NBV files, symbols, docs, or source families through deterministic local discovery before handoff.
Use when reviewing ARIA-NBV working-tree or PR diffs, following up external/model review findings, or supplying ARIA-NBV domain context to the oh-my-codex code-review harness with severity-ranked file and line findings.
Use to diagnose ARIA-NBV bugs, regressions, failing metrics, Streamlit issues, docs builds, KG failures, or suspicious outputs.
Use when ARIA-NBV work touches pose, camera, coordinate-frame, CW90, PyTorch3D projection, depth backprojection, candidate frusta, or geometry diagnostics contracts.