Agent skill

Isetcam Pipeline

by isetbio in isetbio/isetbio

Implement, modify, debug, or review ISETBio image-system pipeline code.

MITAuto-check passed

Install Isetcam Pipeline

skills CLI
$ npx skills add isetbio/isetbio --skill isetcam-pipeline -a claude-code

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

GitHub CLI
$ gh skill install isetbio/isetbio isetcam-pipeline --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/isetbio/isetbio.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.github/skills/isetcam-pipeline .claude/skills/isetcam-pipeline && 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
isetcam-pipeline
GitHub stars
115
Token cost
~435 tokens
SKILL.md length
166 words
Files
1
Skills in repo
9
Repo updated
First seen
Licence
MIT

At a glance

Implement, modify, debug, or review ISETBio image-system pipeline code.

  • Works in 5 steps: Scene: scene*, sceneGet, sceneSet. → Optical image: oi*, oiGet, oiSet. → Sensor: sensor*, sensorGet, sensorSet. → …
  • Tasks involve scene
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Image processing

What it does

Isetcam Pipeline is an agent skill from isetbio/isetbio. Implement, modify, debug, or review ISETBio image-system pipeline code. Use when tasks involve scene, optical image, sensor, image processing, or display objects; scene patterns or charts; color transforms; object constructors, getters, setters, compute methods, or diagnostic plots.

Its SKILL.md is about 440 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: Tools for modeling image systems engineering in the human visual system front end. The licence is MIT.

When your agent uses it

  • Tasks involve scene
  • Image processing
  • Display objects
  • Color transforms

Example prompts

  • “/isetcam-pipeline”

Workflow steps

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

  1. Scene: scene*, sceneGet, sceneSet.
  2. Optical image: oi*, oiGet, oiSet.
  3. Sensor: sensor*, sensorGet, sensorSet.
  4. Image processing: ip*, ipGet, ipSet.
  5. Display: display*, displayGet, displaySet.

What it can do on your machine

Read from SKILL.md and the folder at commit d2924c2. 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

    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.

  • 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.

Context cost

Isetcam Pipeline loads about 435 tokens when it runs. Until then it costs about 75 tokens; SKILL.md has 166 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~75
When it runs · the whole SKILL.md, loaded when a task matches
~435

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 isetbio/isetbio at commit d2924c2, republished under its MIT licence (© isetbio). 166 words, ~435 tokens.

Download SKILL.mdSave it as .claude/skills/isetcam-pipeline/SKILL.md (or your agent's skills folder).
name
isetcam-pipeline
description
Implement, modify, debug, or review ISETBio image-system pipeline code. Use when tasks involve scene, optical image, sensor, image processing, or display objects; scene patterns or charts; color transforms; object constructors, getters, setters, compute methods, or diagnostic plots.

ISETCam Pipeline Development

Instructions & Guidelines

Use the Existing Object Families

Follow the pipeline and its established APIs before adding utilities:

  1. Scene: scene*, sceneGet, sceneSet.
  2. Optical image: oi*, oiGet, oiSet.
  3. Sensor: sensor*, sensorGet, sensorSet.
  4. Image processing: ip*, ipGet, ipSet.
  5. Display: display*, displayGet, displaySet.

Typical lifecycle calls are sceneCreate, oiCreate, oiCompute, sensorCreate, sensorCompute, ipCreate, ipCompute, and displayCreate.

For diagnostics, prefer the corresponding scenePlot, oiPlot, sensorPlot, ipPlot, or displayPlot function over ad hoc figures.

Search Before Implementing
  • Search for nearby implementations using the relevant object prefix. The scene, OI, sensor, IP, and display families live in ISETCam (../isetcam).
  • Search ../isetcam/color/ before adding color transforms or color-science utilities.
  • For scene patterns or charts, inspect ../isetcam/scene/ and related existing pattern or chart code before designing new behavior.
  • Respect existing property names, input/output conventions, data shapes, and public APIs. Avoid parallel helper implementations when an object-family API already expresses the operation.

Validate behavior with the nearest colocated tests and a compact object-level workflow when it clarifies correctness.

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

Files

Just SKILL.md in .github/skills/isetcam-pipeline of isetbio/isetbio.

Open the folder on GitHubat commit d2924c2

Compare with similar skills

Isetcam Pipeline 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.

Isetcam Pipeline compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Isetcam Pipeline this skillisetbio/isetbio115—~435Automated safety check: PassMIT
Debugasgeirtj/system_prompts_leaks69k—~439Automated safety check: PassCC0-1.0
Openclaw Debuggingopenclaw/openclaw392k—~1.9kAutomated safety check: PassMIT
Debugging Executionsn8n-io/n8n207k—~2.6kAutomated safety check: PassCustom licence
DebuggingJetBrains/intellij-community21k—~422Automated safety check: PassCustom licence
Debugging Toolkitsickn33/agentic-awesome-skills47k1 repos~344Automated safety check: PassMIT

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More from isetbio/isetbio

All 9 skills in this repo
  • Matlab Environment

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    Configure or troubleshoot a local MATLAB and VS Code environment for ISETBio.

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  • Matlab Evaluation

    isetbio/isetbio

    Run MATLAB non-interactively from a shell on this machine — locating the MATLAB binary, setting ISETCam/ISETBio paths for a batch session, and invoking -batch evaluation.

    115 GitHub stars~568 tokensUpdated 15 days ago
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  • Matlab Testing

    isetbio/isetbio

    Develop, run, diagnose, or report ISETBio MATLAB tests. An agent skill from isetbio/isetbio.

    115 GitHub stars~884 tokensUpdated 15 days ago
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  • Retinal Mosaic Data

    isetbio/isetbio

    Work with ISETBio cone and midget-RGC mosaic data, including loading, generating, migrating, caching, or reviewing lattices, serialized cMosaics, pre-baked mRGCMosaics, and compute-ready mosaics.

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  • Create, move, review, publish, or test ISETBio tutorials, examples, and data-generation scripts.

    115 GitHub stars~560 tokensUpdated 15 days ago
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  • Sdr Mosaic Data

    isetbio/isetbio

    Create, publish, organize, or fetch the ISETBio retinal mosaic data deposit in the Stanford Digital Repository (SDR).

    115 GitHub stars~1.6k tokensUpdated 15 days ago
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Questions about Isetcam Pipeline

What does Isetcam Pipeline do?

Implement, modify, debug, or review ISETBio image-system pipeline code. Isetcam Pipeline is an agent skill from isetbio/isetbio. Implement, modify, debug, or review ISETBio image-system pipeline code.

When should I use Isetcam Pipeline?

Isetcam Pipeline fits situations like: tasks involve scene; image processing; display objects; color transforms.

How do I install Isetcam Pipeline in Claude Code?

Run `npx skills add isetbio/isetbio --skill isetcam-pipeline -a claude-code`. Or copy the skill folder (.github/skills/isetcam-pipeline in isetbio/isetbio) into .claude/skills/isetcam-pipeline in your project. Claude Code loads it when a task matches its description.

How do I install Isetcam Pipeline in Codex?

Run `npx skills add isetbio/isetbio --skill isetcam-pipeline -a codex`. Or copy the skill folder (.github/skills/isetcam-pipeline in isetbio/isetbio) into .agents/skills/isetcam-pipeline in your project. Codex loads it when a task matches its description.

Can I use Isetcam Pipeline 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 isetbio/isetbio --skill isetcam-pipeline -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/isetcam-pipeline, .gemini/skills/isetcam-pipeline, .github/skills/isetcam-pipeline and .opencode/skills/isetcam-pipeline in your project.

What does Isetcam Pipeline need to run?

SKILL.md names no scripts, command-line tools or credentials: Isetcam Pipeline is instructions for the agent only.

Does Isetcam Pipeline 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 Isetcam Pipeline 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 Isetcam Pipeline use?

Isetcam Pipeline 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 Isetcam Pipeline use?

About 435 tokens (SKILL.md is roughly 1.7k 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 Isetcam Pipeline?

Skills that share tags, products or a category with Isetcam Pipeline: Debug (asgeirtj/system_prompts_leaks, 69k stars), Openclaw Debugging (openclaw/openclaw, 392k stars), Debugging Executions (n8n-io/n8n, 207k stars) and Debugging (JetBrains/intellij-community, 21k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Isetcam Pipeline?

isetbio (a GitHub organization) maintains it in isetbio/isetbio, which has 115 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on September 25, 2026.

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