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From rhiza-forecasting
Spatially subset a gridded weather-skills envelope Zarr to an explicit lat/lon bbox. Use when you need to restrict any dataset (forecast, satellite, reanalysis) to a custom bounding box before downstream aggregation or plotting. To clip to a country, get its bbox from the resolve-region skill first.
How this skill is triggered — by the user, by Claude, or both
Slash command
/rhiza-forecasting:clip-regionThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Source-agnostic spatial subset using simple lat/lon slicing, driven by an explicit `--bbox`. To clip to a country, resolve its bbox with the `resolve-region` skill and pass that value.
Source-agnostic spatial subset using simple lat/lon slicing, driven by an explicit --bbox. To clip to a country, resolve its bbox with the resolve-region skill and pass that value.
Does not clip station-schema envelopes (station_id-indexed). For stations, filter by country using an aggregate-* or custom skill.
uv run --script ${CLAUDE_SKILL_DIR}/scripts/clip.py --input <in.zarr> --output <out.zarr> \
--bbox N/W/S/E [--dims LAT,LON]
--input, -i — gridded Zarr.--output, -o — output Zarr.--bbox — required; N/W/S/E in decimal degrees. To clip to a country, get its bbox from the resolve-region skill and pass the value here.--dims — optional LAT,LON dim name override.Longitudes in [0, 360] are auto-wrapped to [-180, 180] before slicing, so a global grid stored in the [0, 360] convention still intersects bboxes that straddle the prime meridian (e.g. Ghana). Inputs already in [-180, 180] pass through unchanged.
Same dims and variables, reduced to the requested window.
The output stamps a JSON-encoded weather_skills_history attr: an append-only array
of per-step entries {skill, version, args, input}. This skill reads the
upstream input's weather_skills_history (default [] and stderr warning if absent)
and appends its own entry. args is the argparse namespace minus the
--input/--output path strings; input is a {basename, hash} dict —
basename is the upstream zarr's filename and hash is a sha256 of its
stored bytes, so a renamed-but-unchanged input still cache-hits and a
same-named-but-modified input correctly cache-misses; version is the
_SKILL_VERSION constant in scripts/clip.py, kept in lockstep with
metadata.version in this SKILL.md by the CI version-bump workflow.
Cache-hit comparison reads the existing output's
weather_skills_history: a hit requires the upstream entries to match and the last
entry's skill, args, and input to match the proposed new entry.
The args dict stores argparse dest names (underscored, e.g. time_dim,
target_resolution, anchor_end), not the hyphenated CLI flag names
(--time-dim, --target-resolution, --anchor-end). A consumer
reconstructing a uv run --script ${CLAUDE_SKILL_DIR}/scripts/<skill>.py <args> invocation must
translate underscore → hyphen.
# Get BBOX from the resolve-region skill for your country (e.g. KEN → 5.5/33.9/-4.7/41.9):
BBOX=5.5/33.9/-4.7/41.9
uv run --script ${CLAUDE_SKILL_DIR}/scripts/clip.py -i /tmp/ecmwf.zarr -o /tmp/ecmwf_kenya.zarr --bbox "$BBOX"
npx claudepluginhub rhiza-research/forecasting-skills --plugin rhiza-forecastingSearches MemPalace before answering questions about past work, people, projects, or prior decisions. Returns verbatim stored content instead of guessing from model memory.
Guides Payload CMS config (payload.config.ts), collections, fields, hooks, access control, APIs. Debugs validation errors, security, relationships, queries, transactions, hook behavior.
Implements vector databases with Pinecone, Weaviate, Qdrant, Milvus, pgvector for semantic search, RAG, recommendations, and similarity systems. Optimizes embeddings, indexing, and hybrid search.