Visualize
openclaw/openclaw
Create inline visuals for code and explanations, or author persistent OpenClaw dashboard widgets with showwidget.
Plot NEXRAD Level II/III site scans and decoded radar mosaics with correct radar geometry, map grids, units, quality masks, timestamps, and provenance.
$ npx skills add sickn33/agentic-awesome-skills --skill nexrad-radar-visualization -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sickn33/agentic-awesome-skills nexrad-radar-visualization --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/nexrad-radar-visualization .claude/skills/nexrad-radar-visualization && rm -rf skills-srcUse ~/.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/
Install the "nexrad-radar-visualization" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/nexrad-radar-visualization into .claude/skills/nexrad-radar-visualization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nexrad-radar-visualization", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/nexrad-radar-visualizationType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add sickn33/agentic-awesome-skills --skill nexrad-radar-visualization -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sickn33/agentic-awesome-skills nexrad-radar-visualization --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/nexrad-radar-visualization .agents/skills/nexrad-radar-visualization && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "nexrad-radar-visualization" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/nexrad-radar-visualization into .agents/skills/nexrad-radar-visualization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nexrad-radar-visualization", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sickn33/agentic-awesome-skills --skill nexrad-radar-visualization -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sickn33/agentic-awesome-skills nexrad-radar-visualization --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/nexrad-radar-visualization .cursor/skills/nexrad-radar-visualization && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "nexrad-radar-visualization" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/nexrad-radar-visualization into .cursor/skills/nexrad-radar-visualization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nexrad-radar-visualization", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/sickn33/agentic-awesome-skills.git --path skills/nexrad-radar-visualization--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add sickn33/agentic-awesome-skills --skill nexrad-radar-visualization -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sickn33/agentic-awesome-skills nexrad-radar-visualization --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/nexrad-radar-visualization .gemini/skills/nexrad-radar-visualization && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "nexrad-radar-visualization" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/nexrad-radar-visualization into .gemini/skills/nexrad-radar-visualization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nexrad-radar-visualization", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install sickn33/agentic-awesome-skills nexrad-radar-visualizationInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add sickn33/agentic-awesome-skills --skill nexrad-radar-visualization -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/nexrad-radar-visualization .github/skills/nexrad-radar-visualization && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "nexrad-radar-visualization" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/nexrad-radar-visualization into .github/skills/nexrad-radar-visualization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nexrad-radar-visualization", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sickn33/agentic-awesome-skills --skill nexrad-radar-visualization -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install sickn33/agentic-awesome-skills nexrad-radar-visualization --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/nexrad-radar-visualization .opencode/skills/nexrad-radar-visualization && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "nexrad-radar-visualization" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/nexrad-radar-visualization into .opencode/skills/nexrad-radar-visualization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nexrad-radar-visualization", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
nexrad-radar-visualizationPlot NEXRAD Level II/III site scans and decoded radar mosaics with correct radar geometry, map grids, units, quality masks, timestamps, and provenance.
Nexrad Radar Visualization is an agent skill from sickn33/agentic-awesome-skills. Plot NEXRAD Level II/III site scans and decoded radar mosaics with correct radar geometry, map grids, units, quality masks, timestamps, and provenance.
Its SKILL.md is about 3.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.
6 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit ec02547. It shows what the files ask for, not the result of running them.
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.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
roc.noaa.govregistry.opendata.awsFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Nexrad Radar Visualization loads about 3.7k tokens when it runs. Until then it costs about 45 tokens; SKILL.md has 2,012 words of instructions outside code blocks.
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.
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.
The full file from sickn33/agentic-awesome-skills at commit ec02547, republished under its MIT licence (© sickn33). 2,012 words, ~3,677 tokens.
.claude/skills/nexrad-radar-visualization/SKILL.md (or your agent's skills folder).Create scientifically legible plots from verified NEXRAD single-site products and decoded radar mosaics. Preserve site or domain, product, observation or valid time, units, geometry, quality masking, and color meaning so a visually compelling image cannot hide a wrong quantity or misleading spatial interpretation.
Use this skill after nexrad-product-access or another trusted source has
provided a decoded site product. Use nexrad-mosaic-access to retrieve an
official MRMS composite before plotting it. This skill does not discover or
download radar files.
Do not use a plot to hide a missing sweep, unverified product, invalid gate mask, geolocation error, or unsupported extrapolation.
Record:
If the user asks only for “a radar image,” produce a useful default: a single-site PPI with site marker, UTC time, product, units, color bar, range rings, and missing-data treatment visible. For a decoded mosaic, use a map view with the product, domain, valid time, units, legend, and missing-data treatment visible. Ask only when product, site/domain, or time would materially change the result and cannot be inferred safely.
For a plan-position indicator:
For reflectivity, do not imply that every dBZ color boundary is a categorical precipitation type. Keep the measured reflectivity label visible and put any rain-rate relation in a separate, explicitly derived layer.
For velocity, use a diverging scale centered on zero unless the product's documented semantics require another convention. Radial velocity points toward or away from the radar according to the data convention; it is not a full wind vector. Do not draw environmental wind arrows from radial velocity without an explicit deconvolution or retrieval method.
Preserve the physical unit for each field, such as differential reflectivity in dB, differential phase in degrees, correlation coefficient as a unitless quantity, and specific differential phase with its documented units and scale.
Keep raw dual-polarization fields separate from hydrometeor classification. If a classification is displayed, state the input moments, thresholds, quality masking, and whether the classification is measured, retrieved, or heuristic.
Do not normalize each sweep independently before an animation or comparison; that can make a changing storm look stationary. Use one declared scale for the whole sequence unless a separate panel is explicitly labeled.
Lowest-level products emphasize near-surface structure but are vulnerable to terrain, clutter, biological targets, and beam broadening. Higher sweeps sample different heights and can miss low-level features.
When selecting a sweep by target height:
Do not call the lowest sweep a surface observation. Its beam samples a volume whose center height varies with range and whose width increases away from the radar.
An RHI or cross-section is a derived view assembled from multiple sweeps or volumes. Preserve source volume identity, azimuth or line orientation, horizontal-distance coordinate, vertical coordinate, interpolation method, and beam-height geometry.
Do not connect gates across large angular gaps, missing sweeps, or incompatible volumes without showing the gap. Avoid implying sub-beam vertical resolution. For a storm tilt sequence, use the same cross-section line or documented tracking logic across times and show how the line moves.
For an animation or loop:
An animation is not evidence of temporal evolution unless frames are aligned, correctly timed, and generated from the same product and projection.
For an MRMS or other decoded NEXRAD-derived grid:
nexrad-mosaic-construction for construction and label its output as a
local analysis.Do not apply single-radar azimuth/range geometry or sweep labels to an MRMS grid. Do not claim a mosaic represents every native radar moment or elevation.
Use the minimum visual elements needed to interpret the measurement:
Avoid decorative terrain or boundaries that obscure gates, imply high resolution, or dominate the measured field. Do not crop away the radar site, range rings, or color bar without replacing the lost context.
For a multi-panel figure, label each panel by product and time and state whether the panels share a scale. Use consistent geometry across panels so a viewer can compare evolution without reorienting the scene.
Given a decoded KTLX volume, render the lowest usable reflectivity sweep with the site, Level II moment, observed UTC time, dBZ units, color bar, range rings, and invalid gates visibly masked. Read the timestamp and product metadata from the volume rather than inventing them.
When comparing two velocity scans, first verify they are from the same site, product, units, and sweep policy. Use one shared diverging color scale, show each scan's actual UTC time, and leave missing gates masked rather than filling them with zero velocity.
When plotting an MRMS composite, retrieve the exact product and timestamp with
nexrad-mosaic-access, validate its native grid and valid-time semantics, and
show its provider, domain, units, legend, and missing-data mask. Do not apply
single-site sweep geometry or present the composite as a custom mosaic.
For static output, verify the actual rendered file—not only the plotting call. Open or inspect the image and confirm:
For interactive output, also test zoom, time selection, product switching, and the behavior when a sweep or scan is unavailable.
Record the plotting-library versions, projection, transformations, display
limits, masks, output path, and input identity. Pair the figure with
weather-data-reproducibility when it must be regenerated later.
Return or publish:
Do not return a plot without enough metadata for another analyst to understand what is being displayed.
© sickn33, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/nexrad-radar-visualization of sickn33/agentic-awesome-skills.
Open the folder on GitHubat commit ec02547
We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.
Nexrad Radar Visualization next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Nexrad Radar Visualization this skillsickn33/agentic-awesome-skills | 47k | 1 repos | ~3.7k | Automated safety check: Pass | MIT | |
| Visualizeopenclaw/openclaw | 392k | — | ~2.4k | Automated safety check: Pass | MIT | |
| Plotlydavila7/claude-code-templates | 32k | 14 repos | ~1.8k | Automated safety check: Pass | MIT | |
| Scanwshobson/agents | 40k | — | ~2.2k | Automated safety check: Pass | MIT | |
| Sitesasgeirtj/system_prompts_leaks | 69k | — | ~1.6k | Automated safety check: Pass | CC0-1.0 | |
| Scan Sitemicrosoft/power-platform-skills | 972 | — | ~3.2k | Automated safety check: Notes | MIT |
openclaw/openclaw
Create inline visuals for code and explanations, or author persistent OpenClaw dashboard widgets with showwidget.
davila7/claude-code-templates
Interactive scientific and statistical data visualization library for Python.
wshobson/agents
Scans the codebase to generate project-doc.md and AGENTS.md.
asgeirtj/system_prompts_leaks
A skill your agent uses when creating or updating a website, web app, or browser game, or when a visual layout or interactive tool would help with what the user is doing.
microsoft/power-platform-skills
Runs a security scan on a deployed Power Pages site, fetches the latest scan report, and produces a plain-language summary.
calesthio/OpenMontage
Create, extract, and apply portable visual design systems via visual-style.md files.
sickn33/agentic-awesome-skills
Implements an interface in one of two named color modes, iridescent white or colorful black, from a parameterized starter that reports measured color intensity.
sickn33/agentic-awesome-skills
Saves a user's project decisions, rules and preferences into a project-local mdbase so later sessions and other agents can recover the intent.
sickn33/agentic-awesome-skills
Keeps project decisions, research and verified results available across coding-agent sessions through LWC memory, a document Wiki graph and a CodeGraph code index.
sickn33/agentic-awesome-skills
Guides an agent through assessing its own owner for cofounder fit, publishing an approved profile, and ranking complementary profiles other agents published for their owners.
sickn33/agentic-awesome-skills
Acts as a proxy for the Cline CLI, dispatching coding tasks one at a time, monitoring runs by hard evidence, relaying decisions to you and learning per-project preferences.
sickn33/agentic-awesome-skills
Drafts and reviews audience-specific content from supplied brand examples, with local scripts for brand voice and SEO diagnostics, channel templates and a content calendar.
Plot NEXRAD Level II/III site scans and decoded radar mosaics with correct radar geometry, map grids, units, quality masks, timestamps, and provenance. Nexrad Radar Visualization is an agent skill from sickn33/agentic-awesome-skills. Plot NEXRAD Level II/III site scans and decoded radar mosaics with correct radar geometry, map grids, units, quality masks, timestamps, and provenance.
Run `npx skills add sickn33/agentic-awesome-skills --skill nexrad-radar-visualization -a claude-code`. Or copy the skill folder (skills/nexrad-radar-visualization in sickn33/agentic-awesome-skills) into .claude/skills/nexrad-radar-visualization in your project. Claude Code loads it when a task matches its description.
Run `npx skills add sickn33/agentic-awesome-skills --skill nexrad-radar-visualization -a codex`. Or copy the skill folder (skills/nexrad-radar-visualization in sickn33/agentic-awesome-skills) into .agents/skills/nexrad-radar-visualization in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sickn33/agentic-awesome-skills --skill nexrad-radar-visualization -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/nexrad-radar-visualization, .gemini/skills/nexrad-radar-visualization, .github/skills/nexrad-radar-visualization and .opencode/skills/nexrad-radar-visualization in your project.
SKILL.md names no scripts, command-line tools or credentials: Nexrad Radar Visualization is instructions for the agent only.
SKILL.md names 2 domains. As links in the text: roc.noaa.gov and registry.opendata.aws. This is read from the text; nothing was executed.
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.
Nexrad Radar Visualization is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.7k 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.
Skills that share tags, products or a category with Nexrad Radar Visualization: Visualize (openclaw/openclaw, 392k stars), Plotly (davila7/claude-code-templates, 32k stars), Scan (wshobson/agents, 40k stars) and Sites (asgeirtj/system_prompts_leaks, 69k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,343 GitHub stars. The repository holds 1,354 skills in this directory. The repository was last updated on October 7, 2026.
Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.