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Agent skill

Processing Computer Vision Tasks

by jeremylongshore in jeremylongshore/tons-of-skills-marketplace

Process images using object detection, classification, and segmentation.

MITAuto-check passedAI & LLM Engineering

Install Processing Computer Vision Tasks

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill processing-computer-vision-tasks -a claude-code

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

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace processing-computer-vision-tasks --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/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/processing-computer-vision-tasks .claude/skills/processing-computer-vision-tasks && 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
processing-computer-vision-tasks
GitHub stars
2.8k
Token cost
~898 tokens
SKILL.md length
410 words
Files
5 (incl. scripts, references, assets)
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Process images using object detection, classification, and segmentation.

  • Works in 3 steps: Analyzing the Request: Claude identifies… → Generating Code: Claude generates the… → Executing the Task: The generated code…
  • Requesting analyze image
  • SKILL.md covers Overview, How It Works, When to Use This Skill and Examples, plus 7 more sections
  • Runs Python scripts from its folder

What it does

Processing Computer Vision Tasks is an agent skill from jeremylongshore/tons-of-skills-marketplace. Process images using object detection, classification, and segmentation. Use when requesting "analyze image", "object detection", "image classification", or "computer vision". Trigger with relevant phrases based on skill purpose.

Its SKILL.md is about 900 tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts, reference files and assets (for example `assets/README.md`, `references/README.md` and `scripts/README.md`). Compatibility notes: Designed for Claude Code

It sits in AI & LLM Engineering, covering Computer vision. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.

When your agent uses it

  • Requesting analyze image
  • Object detection
  • Image classification
  • Computer vision

Example prompts

  • “analyze image”
  • “object detection”
  • “image classification”
  • “/processing-computer-vision-tasks”

Requirements

  • Python 3
  • Compatibility (from SKILL.md): Designed for Claude Code
  • Pre-approved tools (allowed-tools): Read, Write, Edit, Grep, Glob, Bash(cmd:*)

Workflow steps

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

  1. Analyzing the Request: Claude identifies the need for computer vision processing based on the user's request and trigger terms.
  2. Generating Code: Claude generates the appropriate Python code to interact with the computer-vision-processor plugin, specifying the…
  3. Executing the Task: The generated code is executed using the /process-vision command, which processes the image and returns the results.

What it can do on your machine

Read from SKILL.md and the folder at commit 23ea8d4. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Edit
    • Grep
    • Glob
    • Bash(cmd:*)

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 2 files in scripts/ (Python), which the agent can run.

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

  • Network

    No URLs in SKILL.md.

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

  • Credentials

    Names no API keys, tokens, secrets or passwords.

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

  • Compatibility

    Designed for Claude Code

    From compatibility in the SKILL.md frontmatter.

Context cost

Processing Computer Vision Tasks loads about 898 tokens when it runs, and up to ~915 if it reads all its reference files. Until then it costs about 66 tokens; SKILL.md has 410 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~66
When it runs · the whole SKILL.md, loaded when a task matches
~898
With references · SKILL.md plus every file in references/, read only if the agent opens them
~915

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); the scripts in this folder are not scanned.

SKILL.md

The full file from jeremylongshore/tons-of-skills-marketplace at commit 23ea8d4, republished under its MIT licence (© jeremylongshore). 410 words, ~898 tokens.

Download SKILL.mdSave it as .claude/skills/processing-computer-vision-tasks/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
processing-computer-vision-tasks
description
Process images using object detection, classification, and segmentation. Use when requesting "analyze image", "object detection", "image classification", or "computer vision". Trigger with relevant phrases based on skill purpose.
allowed-tools
Read, Write, Edit, Grep, Glob, Bash(cmd:*)
compatibility
Designed for Claude Code
version
1.21.0
author
Jeremy Longshore <jeremy@intentsolutions.io>
license
MIT
tags
ai, processing-computer

Computer Vision Processor

Process images using object detection, classification, and segmentation pipelines with configurable model backends.

Overview

This skill empowers Claude to leverage the computer-vision-processor plugin to analyze images, detect objects, and extract meaningful information. It automates computer vision workflows, optimizes performance, and provides detailed insights based on image content.

How It Works

  1. Analyzing the Request: Claude identifies the need for computer vision processing based on the user's request and trigger terms.
  2. Generating Code: Claude generates the appropriate Python code to interact with the computer-vision-processor plugin, specifying the desired analysis type (e.g., object detection, image classification).
  3. Executing the Task: The generated code is executed using the /process-vision command, which processes the image and returns the results.

When to Use This Skill

This skill activates when you need to:

  • Analyze an image for specific objects or features.
  • Classify an image into predefined categories.
  • Segment an image to identify different regions or objects.

Examples

Example 1: Object Detection

User request: "Analyze this image and identify all the cars and pedestrians."

The skill will:

  1. Generate code to perform object detection on the provided image using the computer-vision-processor plugin.
  2. Return a list of bounding boxes and labels for each detected car and pedestrian.
Example 2: Image Classification

User request: "Classify this image. Is it a cat or a dog?"

The skill will:

  1. Generate code to perform image classification on the provided image using the computer-vision-processor plugin.
  2. Return the classification result (e.g., "cat" or "dog") along with a confidence score.
Show full SKILL.md (158 more words)Show less

Best Practices

  • Data Validation: Always validate the input image to ensure it's in a supported format and resolution.
  • Error Handling: Implement robust error handling to gracefully manage potential issues during image processing.
  • Performance Optimization: Choose the appropriate computer vision techniques and parameters to optimize performance for the specific task.

Integration

This skill utilizes the /process-vision command provided by the computer-vision-processor plugin. It can be integrated with other skills to further process the results of the computer vision analysis, such as generating reports or triggering actions based on detected objects.

Prerequisites

  • Appropriate file access permissions
  • Required dependencies installed

Instructions

  1. Invoke this skill when the trigger conditions are met
  2. Provide necessary context and parameters
  3. Review the generated output
  4. Apply modifications as needed

Output

The skill produces structured output relevant to the task.

Error Handling

  • Invalid input: Prompts for correction
  • Missing dependencies: Lists required components
  • Permission errors: Suggests remediation steps

Resources

  • Project documentation
  • Related skills and commands

© jeremylongshore, 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 4 other files (scripts, references, assets) in skills/.curated/processing-computer-vision-tasks of jeremylongshore/tons-of-skills-marketplace.

  • SKILL.md
  • assets/README.md
  • references/README.md
  • scripts/README.md
  • scripts/image_analyzer.py

Open the folder on GitHubat commit 23ea8d4

Compare with similar skills

Processing Computer Vision Tasks 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.

Processing Computer Vision Tasks compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Processing Computer Vision Tasks this skilljeremylongshore/tons-of-skills-marketplace2.8k—~898Automated safety check: PassMIT
Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs13k9 repos~3.3kAutomated safety check: PassMIT
CLIP Image-Text MatchingOrchestra-Research/AI-Research-SKILLs13k8 repos~1.7kAutomated safety check: PassMIT
Yolo Master AgentTencent/YOLO-Master742—~755Automated safety check: PassAGPL-3.0
Video Understandjjyaoao/HelloAgents3.2k1 repos~6.2kAutomated safety check: PassMIT
Motioneyes Visual Analysisedwardsanchez/MotionEyes229—~2kAutomated safety check: PassNone

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Categories

Questions about Processing Computer Vision Tasks

What does Processing Computer Vision Tasks do?

Process images using object detection, classification, and segmentation. Processing Computer Vision Tasks is an agent skill from jeremylongshore/tons-of-skills-marketplace. Process images using object detection, classification, and segmentation.

When should I use Processing Computer Vision Tasks?

Processing Computer Vision Tasks fits situations like: requesting analyze image; object detection; image classification; computer vision.

How do I install Processing Computer Vision Tasks in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill processing-computer-vision-tasks -a claude-code`. Or copy the skill folder (skills/.curated/processing-computer-vision-tasks in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/processing-computer-vision-tasks in your project. Claude Code loads it when a task matches its description.

How do I install Processing Computer Vision Tasks in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill processing-computer-vision-tasks -a codex`. Or copy the skill folder (skills/.curated/processing-computer-vision-tasks in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/processing-computer-vision-tasks in your project. Codex loads it when a task matches its description.

Can I use Processing Computer Vision Tasks 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 jeremylongshore/tons-of-skills-marketplace --skill processing-computer-vision-tasks -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/processing-computer-vision-tasks, .gemini/skills/processing-computer-vision-tasks, .github/skills/processing-computer-vision-tasks and .opencode/skills/processing-computer-vision-tasks in your project.

What does Processing Computer Vision Tasks need to run?

Going by SKILL.md and its folder, Processing Computer Vision Tasks needs Python for the scripts in its folder. Our summary lists: Python 3. Its frontmatter pre-approves these tools: Read, Write, Edit, Grep, Glob, Bash(cmd:*). Compatibility (from SKILL.md): Designed for Claude Code.

Does Processing Computer Vision Tasks access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Processing Computer Vision Tasks 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Processing Computer Vision Tasks use?

Processing Computer Vision Tasks is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Processing Computer Vision Tasks use?

About 898 tokens (SKILL.md is roughly 3.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 17 tokens, read only when the agent opens those files.

What are the alternatives to Processing Computer Vision Tasks?

Skills that share tags, products or a category with Processing Computer Vision Tasks: Segment Anything Model Guide (Orchestra-Research/AI-Research-SKILLs, 13k stars), CLIP Image-Text Matching (Orchestra-Research/AI-Research-SKILLs, 13k stars), Yolo Master Agent (Tencent/YOLO-Master, 742 stars) and Video Understand (jjyaoao/HelloAgents, 3.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Processing Computer Vision Tasks?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,821 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 8, 2026.

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