Effect Layers Services
CheckedThis skill generates layered visual effects for images, streamlining complex compositing and enhancing creative visuals quickly.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add mepuka/effect-ontology --skill effect-layers-services -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
mepuka
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned mepuka/effect-ontology at c148102d57.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- c148102d57
- Scanned
- 1 file, 83 lines
About this skill
What it does
This skill provides access to a suite of services related to managing and manipulating effect layers. It allows AI agents to interact with and modify these layers, enabling complex visual effects or data processing workflows. Specifically, it facilitates creation, deletion, reordering, and property adjustments within effect layer structures.
When to use it
- Automated video editing: Automatically adjust color grading or apply stylistic filters across multiple video clips by modifying their effect layers.
- Data visualization: Create layered data visualizations where each layer represents a different dataset, allowing for interactive exploration and analysis.
- Procedural content generation: Generate complex visual scenes by dynamically creating and manipulating effect layers based on user input or game logic.
- Scientific simulations: Visualize simulation results using layered effects to represent different physical phenomena.
Key capabilities
- Creation of new effect layers
- Deletion of existing effect layers
- Reordering of layer hierarchy
- Modification of layer properties (e.g., opacity, blend mode)
Example prompts
- "Create a new effect layer named 'Bloom' and set its blend mode to 'Screen'."
- "Move the 'Color Correction' layer above the 'Noise' layer."
- "Delete the 'Vignette' effect layer."
- “Increase the opacity of all layers by 10%”
Tips & gotchas
This skill requires a foundational understanding of effect layer structures and terminology. The specific properties available for modification will depend on the underlying system or software being used.