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Agent skill

Hyperlocal Weather Precip

by gooseworks-ai in gooseworks-ai/goose-skills

Hyperlocal weather data - precipitation, temperature, wind, soil moisture and more

MITAuto-check passedResearch & Science

Install Hyperlocal Weather Precip

skills CLI
$ npx skills add gooseworks-ai/goose-skills --skill hyperlocal-weather-precip -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install gooseworks-ai/goose-skills hyperlocal-weather-precip --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/research-tools/capabilities/hyperlocal-weather-precip .claude/skills/hyperlocal-weather-precip && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
hyperlocal-weather-precip
GitHub stars
1.2k
Used in
1 other repo
Token cost
~3.8k tokens
SKILL.md length
1,124 words
Files
2
Skills in repo
273
Repo updated
First seen
Licence
MIT

At a glance

Hyperlocal weather data - precipitation, temperature, wind, soil moisture and more

  • Works in 5 steps: Agriculture: Monitor soil moisture and… → Construction: Track weather conditions… → Event Planning: Check precipitation… → …
  • Tasks that involve Physical and earth sciences
  • SKILL.md covers Setup, Capabilities, Usage and Use Cases, plus 1 more section
  • Calls curl, python3 and npx; reaches api.precip.ai and api.gooseworks.ai; needs GOOSEWORKS_API_KEY

What it does

Hyperlocal Weather Precip is an agent skill from gooseworks-ai/goose-skills. Hyperlocal weather data - precipitation, temperature, wind, soil moisture and more

Its SKILL.md is about 3.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `skill.meta.json`).

It sits in Research & Science, covering Physical and earth sciences. The repository describes itself as: Library of Growth & GTM skills + data APIs for Claude Code, Codex, Cursor to run ads, social, content, lead gen, seo and data scraping. The licence is MIT.

When your agent uses it

  • Tasks that involve Physical and earth sciences

Example prompts

  • “/hyperlocal-weather-precip”

Requirements

  • Python 3
  • Node.js
  • A credential in GOOSEWORKS_API_KEY

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Agriculture: Monitor soil moisture and plan irrigation
  2. Construction: Track weather conditions for project planning
  3. Event Planning: Check precipitation forecasts for outdoor events
  4. Research: Access historical weather data for analysis
  5. IoT/Smart Home: Integrate weather data into automation

What it can do on your machine

Read from SKILL.md and the folder at commit c650c6d. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • curl
    • python3
    • npx

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • api.precip.ai
    • api.gooseworks.ai

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • GOOSEWORKS_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Hyperlocal Weather Precip loads about 3.8k tokens when it runs. Until then it costs about 27 tokens; SKILL.md has 1,124 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~27
When it runs · the whole SKILL.md, loaded when a task matches
~3.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from gooseworks-ai/goose-skills at commit c650c6d, republished under its MIT licence (© gooseworks-ai). 1,124 words, ~3,848 tokens.

Download SKILL.mdSave it as .claude/skills/hyperlocal-weather-precip/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
hyperlocal-weather-precip
description
Hyperlocal weather data - precipitation, temperature, wind, soil moisture and more
source
orthogonal

Precip - Hyperlocal Weather Data API

Setup

Read your credentials from ~/.gooseworks/credentials.json:

bash
export GOOSEWORKS_API_KEY=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json'))['api_key'])")
export GOOSEWORKS_API_BASE=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json')).get('api_base','https://api.gooseworks.ai'))")

If ~/.gooseworks/credentials.json does not exist, tell the user to run: npx gooseworks login

All endpoints use Bearer auth: -H "Authorization: Bearer $GOOSEWORKS_API_KEY"

Access hyperlocal weather data including precipitation, temperature, wind, soil conditions, and more.

Capabilities

  • Last 48 Hours Precipitation Data: Total precipitation in the last 48 hours for the given location(s)
  • Air Temperature: Hourly near-surface air temperature in Celsius (°C)
  • Hourly Soil Moisture: Hourly soil moisture percentage relative to holding capacity at 0-10cm depth
  • Wind Direction: Hourly wind direction in compass degrees (0-360)
  • Daily Precipitation Data: Returns comprehensive daily precipitation data for the given time range and location(s)
  • Wind Gusts: Hourly wind gust speed in meters per second (m/s)
  • Recent Rain Event: Returns detailed information about the most recent precipitation event for the given location(s), including total amounts, precipitation type (rain/snow), timing, and how long ago it occurred
  • Map Layer Tiles: Map tiles compatible with most web mapping or GIS tools
  • Wind Speed: Hourly near-surface wind speed in meters per second (m/s)
  • Cloud Cover: Hourly cloud cover fraction (0-1, where 0 is clear and 1 is overcast)
  • Soil Temperature: Hourly soil temperature data at 0-10cm depth in Celsius (°C)
  • Specific Humidity: Hourly specific humidity (kg/kg)
  • Hourly Precipitation Data: Returns comprehensive hourly precipitation data for the given time range and location(s)
  • Daily Soil Moisture: Daily soil moisture percentage relative to holding capacity at 0-10cm depth
  • Embeddable HTML UI: Returns a complete, HTML page displaying comprehensive weather data for a specific location
  • Solar Radiation: Hourly downward short-wave radiation flux in watts per square meter (W/m²)
  • Relative Humidity: Hourly relative humidity as a percentage (0-100%)

Usage

Last 48 Hours Precipitation Data

Total precipitation in the last 48 hours for the given location(s).

Parameters:

  • longitude* (string)
  • latitude* (string)
  • timeZoneId (string)
  • format (string)
bash
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"precip","path":"/api/v1/last-48","query":{"latitude":"37.7749","longitude":"-122.4194"}}'
Air Temperature

Hourly near-surface air temperature in Celsius (°C)

Parameters:

  • start* (string)
  • end* (string)
  • longitude* (string) - Comma-separated list of longitude coordinates (WGS84)
  • latitude* (string) - Comma-separated list of latitude coordinates (WGS84)
  • timeZoneId (string) - IANA timezone identifier for localizing timestamps
  • format (string) - Output format: geojson, json or csv
bash
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"precip","path":"/api/v1/temperature-hourly","query":{"latitude":"37.7749","longitude":"-122.4194","start":"2024-01-01","end":"2024-01-02"}}'
Hourly Soil Moisture

Hourly soil moisture percentage relative to holding capacity at 0-10cm depth

Parameters:

  • start* (string)
  • end* (string)
  • longitude* (string)
  • latitude* (string)
  • timeZoneId (string)
  • format (string)
bash
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"precip","path":"/api/v1/soil-moisture-hourly","query":{"latitude":"37.7749","longitude":"-122.4194","start":"2024-01-01","end":"2024-01-02"}}'
Wind Direction

Hourly wind direction in compass degrees (0-360)

Parameters:

  • start* (string)
  • end* (string)
  • longitude* (string) - Comma-separated list of longitude coordinates (WGS84)
  • latitude* (string) - Comma-separated list of latitude coordinates (WGS84)
  • timeZoneId (string) - IANA timezone identifier for localizing timestamps
  • format (string) - Output format: geojson, json or csv
bash
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"precip","path":"/api/v1/wind-direction-hourly","query":{"latitude":"37.7749","longitude":"-122.4194","start":"2024-01-01","end":"2024-01-02"}}'
Daily Precipitation Data

Returns comprehensive daily precipitation data for the given time range and location(s). Each day includes precipitation amount, type (rain/snow/mixed), probability (for forecasts), and data source. Seamlessly combines historical observations with forecast data depending on the requested time range.

Parameters:

  • start* (string)
  • end* (string)
  • longitude* (string)
  • latitude* (string)
  • timeZoneId (string)
  • format (string)
bash
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"precip","path":"/api/v1/daily","query":{"latitude":"37.7749","longitude":"-122.4194","start":"2024-01-01","end":"2024-01-31"}}'
Wind Gusts

Hourly wind gust speed in meters per second (m/s)

Parameters:

  • start* (string)
  • end* (string)
  • longitude* (string) - Comma-separated list of longitude coordinates (WGS84)
  • latitude* (string) - Comma-separated list of latitude coordinates (WGS84)
  • timeZoneId (string) - IANA timezone identifier for localizing timestamps
  • format (string) - Output format: geojson, json or csv
bash
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"precip","path":"/api/v1/wind-speed-gust-hourly","query":{"latitude":"37.7749","longitude":"-122.4194","start":"2024-01-01","end":"2024-01-02"}}'
Recent Rain Event

Returns detailed information about the most recent precipitation event for the given location(s), including total amounts, precipitation type (rain/snow), timing, and how long ago it occurred.

Parameters:

  • longitude* (string)
  • latitude* (string)
  • timeZoneId (string)
  • format (string)
bash
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"precip","path":"/api/v1/recent-rain","query":{"latitude":"37.7749","longitude":"-122.4194"}}'
Map Layer Tiles

Map tiles compatible with most web mapping or GIS tools. Software such as Mapbox, Google Maps, ArcGIS, Leaflet, OpenLayers or QGIS will require an x/y/z url eg https://api.precip.ai/api/v1/map/last-48/ImageServer/tile/{z}/{y}/{x}. See the examples for more details.

Parameters:

  • time (string)
bash
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"precip","path":"/api/v1/map/precipitation/ImageServer/tile/5/12/10"}'
Wind Speed

Hourly near-surface wind speed in meters per second (m/s)

Parameters:

  • start* (string)
  • end* (string)
  • longitude* (string) - Comma-separated list of longitude coordinates (WGS84)
  • latitude* (string) - Comma-separated list of latitude coordinates (WGS84)
  • timeZoneId (string) - IANA timezone identifier for localizing timestamps
  • format (string) - Output format: geojson, json or csv
bash
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"precip","path":"/api/v1/wind-speed-hourly","query":{"latitude":"37.7749","longitude":"-122.4194","start":"2024-01-01","end":"2024-01-02"}}'
Cloud Cover

Hourly cloud cover fraction (0-1, where 0 is clear and 1 is overcast)

Parameters:

  • start* (string)
  • end* (string)
  • longitude* (string) - Comma-separated list of longitude coordinates (WGS84)
  • latitude* (string) - Comma-separated list of latitude coordinates (WGS84)
  • timeZoneId (string) - IANA timezone identifier for localizing timestamps
  • format (string) - Output format: geojson, json or csv
bash
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"precip","path":"/api/v1/cloud-cover-hourly","query":{"latitude":"37.7749","longitude":"-122.4194","start":"2024-01-01","end":"2024-01-02"}}'
Show full SKILL.md (426 more words)Show less
Soil Temperature

Hourly soil temperature data at 0-10cm depth in Celsius (°C)

Parameters:

  • start* (string)
  • end* (string)
  • longitude* (string) - Comma-separated list of longitude coordinates (WGS84)
  • latitude* (string) - Comma-separated list of latitude coordinates (WGS84)
  • timeZoneId (string) - IANA timezone identifier for localizing timestamps
  • format (string) - Output format: geojson, json or csv
bash
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"precip","path":"/api/v1/temp-0-10cm-hourly","query":{"latitude":"37.7749","longitude":"-122.4194","start":"2024-01-01","end":"2024-01-02"}}'
Specific Humidity

Hourly specific humidity (kg/kg)

Parameters:

  • start* (string)
  • end* (string)
  • longitude* (string) - Comma-separated list of longitude coordinates (WGS84)
  • latitude* (string) - Comma-separated list of latitude coordinates (WGS84)
  • timeZoneId (string) - IANA timezone identifier for localizing timestamps
  • format (string)
bash
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"precip","path":"/api/v1/specific-humidity-hourly","query":{"latitude":"37.7749","longitude":"-122.4194","start":"2024-01-01","end":"2024-01-02"}}'
Hourly Precipitation Data

Returns comprehensive hourly precipitation data for the given time range and location(s). Each hour includes precipitation amount, type (rain/snow/mixed), probability (for forecasts), and data source.

Parameters:

  • start* (string)
  • end* (string)
  • longitude* (string)
  • latitude* (string)
  • timeZoneId (string)
  • format (string)
bash
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"precip","path":"/api/v1/hourly","query":{"latitude":"37.7749","longitude":"-122.4194","start":"2024-01-01","end":"2024-01-07"}}'
Daily Soil Moisture

Daily soil moisture percentage relative to holding capacity at 0-10cm depth

Parameters:

  • start* (string)
  • end* (string)
  • longitude* (string)
  • latitude* (string)
  • timeZoneId (string)
  • format (string)
bash
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"precip","path":"/api/v1/soil-moisture-daily","query":{"latitude":"37.7749","longitude":"-122.4194","start":"2024-01-01","end":"2024-01-31"}}'
Embeddable HTML UI

Returns a complete, HTML page displaying comprehensive weather data for a specific location. See the examples page for more details.

Authorization headers set automatically from query parameters on this endpoint.

Parameters:

  • lat* (number) - Latitude coordinate (-90 to 90) for the location center of the precipitation widget
  • lon* (number) - Longitude coordinate (-180 to 180) for the location center of the precipitation widget
  • apiKey* (string) - Your API key for authentication. Gets automatically applied as header.
  • units (string) - Unit system for displaying precipitation amounts and temperatures. 'metric' shows mm and °C, 'imperial' shows inches and °F.
  • widgets (string) - Comma-separated list of widget keys to display.

Available options: current, event, calendar, cumulative, total, precip, table, wind, temp, soiltemp, soilmoisture, snow

When not provided, shows all widgets.

bash
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"precip","path":"/embed/location","query":{"lat":"37.7749","lon":"-122.4194"}}'
Solar Radiation

Hourly downward short-wave radiation flux in watts per square meter (W/m²)

Parameters:

  • start* (string)
  • end* (string)
  • longitude* (string) - Comma-separated list of longitude coordinates (WGS84)
  • latitude* (string) - Comma-separated list of latitude coordinates (WGS84)
  • timeZoneId (string) - IANA timezone identifier for localizing timestamps
  • format (string) - Output format: geojson, json or csv
bash
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"precip","path":"/api/v1/solar-radiation-hourly","query":{"latitude":"37.7749","longitude":"-122.4194","start":"2024-01-01","end":"2024-01-02"}}'
Relative Humidity

Hourly relative humidity as a percentage (0-100%)

Parameters:

  • start* (string)
  • end* (string)
  • longitude* (string) - Comma-separated list of longitude coordinates (WGS84)
  • latitude* (string) - Comma-separated list of latitude coordinates (WGS84)
  • timeZoneId (string) - IANA timezone identifier for localizing timestamps
  • format (string) - Output format: geojson, json or csv
bash
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"precip","path":"/api/v1/relative-humidity-hourly","query":{"latitude":"37.7749","longitude":"-122.4194","start":"2024-01-01","end":"2024-01-02"}}'

Use Cases

  1. Agriculture: Monitor soil moisture and plan irrigation
  2. Construction: Track weather conditions for project planning
  3. Event Planning: Check precipitation forecasts for outdoor events
  4. Research: Access historical weather data for analysis
  5. IoT/Smart Home: Integrate weather data into automation

Discover More

For full endpoint details and parameters:

bash
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/search \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"prompt":"precip API endpoints"}' List all endpoints
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/details \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"precip","path":"/api/v1/last-48"}'   # Get endpoint details

© gooseworks-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in skills/research-tools/capabilities/hyperlocal-weather-precip of gooseworks-ai/goose-skills.

  • SKILL.md
  • skill.meta.json

Open the folder on GitHubat commit c650c6d

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in gooseworks-ai/goose-skills, which our catalogue first saw on October 9, 2026.

Compare with similar skills

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Categories

Questions about Hyperlocal Weather Precip

What does Hyperlocal Weather Precip do?

Hyperlocal weather data - precipitation, temperature, wind, soil moisture and more. Hyperlocal Weather Precip is an agent skill from gooseworks-ai/goose-skills.

When should I use Hyperlocal Weather Precip?

Hyperlocal Weather Precip fits situations like: tasks that involve Physical and earth sciences.

How do I install Hyperlocal Weather Precip in Claude Code?

Run `npx skills add gooseworks-ai/goose-skills --skill hyperlocal-weather-precip -a claude-code`. Or copy the skill folder (skills/research-tools/capabilities/hyperlocal-weather-precip in gooseworks-ai/goose-skills) into .claude/skills/hyperlocal-weather-precip in your project. Claude Code loads it when a task matches its description.

How do I install Hyperlocal Weather Precip in Codex?

Run `npx skills add gooseworks-ai/goose-skills --skill hyperlocal-weather-precip -a codex`. Or copy the skill folder (skills/research-tools/capabilities/hyperlocal-weather-precip in gooseworks-ai/goose-skills) into .agents/skills/hyperlocal-weather-precip in your project. Codex loads it when a task matches its description.

Can I use Hyperlocal Weather Precip in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add gooseworks-ai/goose-skills --skill hyperlocal-weather-precip -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/hyperlocal-weather-precip, .gemini/skills/hyperlocal-weather-precip, .github/skills/hyperlocal-weather-precip and .opencode/skills/hyperlocal-weather-precip in your project.

What does Hyperlocal Weather Precip need to run?

Going by SKILL.md and its folder, Hyperlocal Weather Precip needs the command-line tools its instructions call (curl, python3 and npx) and credentials named GOOSEWORKS_API_KEY. Our summary lists: Python 3; Node.js; A credential in GOOSEWORKS_API_KEY.

Does Hyperlocal Weather Precip access the network?

SKILL.md names 2 domains. In commands or code: api.precip.ai and api.gooseworks.ai; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is Hyperlocal Weather Precip safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Hyperlocal Weather Precip use?

Hyperlocal Weather Precip is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Hyperlocal Weather Precip use?

About 3.8k tokens (SKILL.md is roughly 15k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Hyperlocal Weather Precip?

Skills that share tags, products or a category with Hyperlocal Weather Precip: Astropy (zLanqing/codex-claude-academic-skills, 4.7k stars), Pymatgen (zLanqing/codex-claude-academic-skills, 4.7k stars), Cantera Ignition Delay (K-Dense-AI/scientific-agent-skills, 48k stars) and Weather (trpc-group/trpc-agent-go, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Hyperlocal Weather Precip?

gooseworks-ai (a GitHub organization) maintains it in gooseworks-ai/goose-skills, which has 1,240 GitHub stars. The repository holds 273 skills in this directory. The repository was last updated on October 8, 2026.

Source: gooseworks-ai/goose-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.