Agent skill · AI & Agents

signal-geometry

Create Signal Geometry abstract illustrations and posters from concepts or briefs. Use when the user asks for sparse geometric visuals, editorial posters, spatial systems, or prompt-only image recipes.

CaliCastlegithub.com/CaliCastleGitHub ↗
claude-codeMIT
Install
npx skills add CaliCastle/skills --skill signal-geometry --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 14
SKILL.md size: 9 KB
Bundled scripts: none
Path: skills/signal-geometry/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 84 · +5 this week

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Signal Geometry Translate one idea into one precise spatial behavior, then render it as a sparse geometric system on clean matte paper. Generate the image by default when the required capabilities are available; otherwise return the compiled prompt and recipe. ## Visual identity Build every image from these invariants: - **One event:** express one relationship such as orbit, convergence, divergence, compression, deflection, propagation, oscillation, filtering, enclosure, or release. - **Quiet field:** let the motif span the composition when useful while keeping actual mark density low. Aim for roughly 70%-95% quiet background and 2%-8% line, dot, hatch, or mesh coverage. - **Equal polarity:** treat light and dark as equal modes. Use clean neutral off-white stock for light mode and charcoal-dyed stock for dark mode. - **Material surface:** render a full-frame, flat, uncoated matte paper surface with fine irregular grain and faint fibers. Keep it visible at full size and quiet at thumbnail size. Present the paper without borders, mockup depth, edge shadows, stains, tears, or vintage distress. - **Precision marks:** use hairlines, arcs, dots, nodes, particles, restrained hatching, g

What's inside
Steps it walks through
  1. Visual identity
  2. Formats
  3. Grammar families
  4. Workflow
  5. 1. Lock the brief
  6. 2. Distill the spatial proposition
  7. 3. Lock quality anchors
  8. 4. Declare the recipe
  9. 5. Compile the image prompt
  10. 6. Generate one candidate
  11. 7. Inspect and repair
  12. 8. Deliver
  13. Critical gates
  14. Output shape
Ships with 13 files
  • LICENSE
  • agents/openai.yaml
  • assets/examples/01-gated-streamlines.png
  • assets/examples/02-linked-orbits.png
  • assets/examples/03-accelerating-cadence.png
  • assets/examples/04-relay-constellations.png
  • assets/examples/05-staged-thresholds.png
  • assets/examples/06-bilateral-fold.png
  • assets/examples/07-threshold-release.png
  • assets/examples/08-orbital-release.png
  • assets/examples/09-crossed-routing.png
  • references/example-index.md
  • references/repair-playbook.md
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About this skill
What does the signal-geometry skill do?

Create Signal Geometry abstract illustrations and posters from concepts or briefs. Use when the user asks for sparse geometric visuals, editorial posters, spatial systems, or prompt-only image recipes.

How do I install it?

Run `npx skills add CaliCastle/skills --skill signal-geometry --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From CaliCastle/skills, a repository with 84 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going