Stripe Projects
fossasia/eventyay
A skill your agent uses when the user wants to provision infrastructure or third-party services using Stripe Projects.
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.
Install Retinal Mosaic Data
$ npx skills add isetbio/isetbio --skill retinal-mosaic-data -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install isetbio/isetbio retinal-mosaic-data --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/isetbio/isetbio.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.github/skills/retinal-mosaic-data .claude/skills/retinal-mosaic-data && 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 "retinal-mosaic-data" agent skill from https://github.com/isetbio/isetbio/tree/main/.github/skills/retinal-mosaic-data into .claude/skills/retinal-mosaic-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "retinal-mosaic-data", 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/isetbio/isetbio/tree/main/.github/skills/retinal-mosaic-dataType 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 isetbio/isetbio --skill retinal-mosaic-data -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install isetbio/isetbio retinal-mosaic-data --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/isetbio/isetbio.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.github/skills/retinal-mosaic-data .agents/skills/retinal-mosaic-data && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "retinal-mosaic-data" agent skill from https://github.com/isetbio/isetbio/tree/main/.github/skills/retinal-mosaic-data into .agents/skills/retinal-mosaic-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "retinal-mosaic-data", 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 isetbio/isetbio --skill retinal-mosaic-data -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install isetbio/isetbio retinal-mosaic-data --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/isetbio/isetbio.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.github/skills/retinal-mosaic-data .cursor/skills/retinal-mosaic-data && 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 "retinal-mosaic-data" agent skill from https://github.com/isetbio/isetbio/tree/main/.github/skills/retinal-mosaic-data into .cursor/skills/retinal-mosaic-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "retinal-mosaic-data", 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/isetbio/isetbio.git --path .github/skills/retinal-mosaic-data--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 isetbio/isetbio --skill retinal-mosaic-data -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install isetbio/isetbio retinal-mosaic-data --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/isetbio/isetbio.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.github/skills/retinal-mosaic-data .gemini/skills/retinal-mosaic-data && 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 "retinal-mosaic-data" agent skill from https://github.com/isetbio/isetbio/tree/main/.github/skills/retinal-mosaic-data into .gemini/skills/retinal-mosaic-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "retinal-mosaic-data", 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 isetbio/isetbio retinal-mosaic-dataInstalls 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 isetbio/isetbio --skill retinal-mosaic-data -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/isetbio/isetbio.git skills-src && mkdir -p .github/skills && cp -r skills-src/.github/skills/retinal-mosaic-data .github/skills/retinal-mosaic-data && 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 "retinal-mosaic-data" agent skill from https://github.com/isetbio/isetbio/tree/main/.github/skills/retinal-mosaic-data into .github/skills/retinal-mosaic-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "retinal-mosaic-data", 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 isetbio/isetbio --skill retinal-mosaic-data -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install isetbio/isetbio retinal-mosaic-data --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/isetbio/isetbio.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.github/skills/retinal-mosaic-data .opencode/skills/retinal-mosaic-data && 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 "retinal-mosaic-data" agent skill from https://github.com/isetbio/isetbio/tree/main/.github/skills/retinal-mosaic-data into .opencode/skills/retinal-mosaic-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "retinal-mosaic-data", 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.
Facts
- Skill name
retinal-mosaic-data- GitHub stars
- 115
- Token cost
- ~1.5k tokens
- SKILL.md length
- 655 words
- Files
- 2
- Skills in repo
- 9
- Repo updated
- First seen
- Licence
- MIT
At a glance
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.
- A task concerns files under data/datafiles/cones
- SKILL.md covers Overview, Identify the Data Type Before…, Follow the Actual Construction… and Choose the Smallest Correct…, plus 1 more section
- Calls rg
- Data/datafiles/rgc/lattices
What it does
Retinal Mosaic Data is an agent skill from 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. Use when a task concerns files under data/datafiles/cones, data/datafiles/rgc/lattices, ganglioncells/mosaics, mosaic-loading APIs, or cone-to-RGC connectivity.
Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).
It sits in Backend & APIs, covering Caching. 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
- A task concerns files under data/datafiles/cones
- Data/datafiles/rgc/lattices
- Ganglioncells/mosaics
- Mosaic-loading APIs
Example prompts
- “/retinal-mosaic-data”
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
Shell commands in SKILL.md call:
rg
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
Retinal Mosaic Data loads about 1.5k tokens when it runs. Until then it costs about 94 tokens; SKILL.md has 655 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.
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). 655 words, ~1,473 tokens.
Download SKILL.mdSave it as
.claude/skills/retinal-mosaic-data/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- retinal-mosaic-data
- description
- 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. Use when a task concerns files under data/datafiles/cones, data/datafiles/rgc/lattices, ganglioncells/mosaics, mosaic-loading APIs, or cone-to-RGC connectivity.
Retinal Mosaic Data
Overview
Distinguish geometric source lattices from completed retinal circuit
models. Preserve the established cMosaic and mRGCMosaic APIs while
using “cone-to-RGC retinal circuit” for a model that includes both cells and
their connectivity.
Identify the Data Type Before Editing a Loader
| Data | Location | Contents | Role |
|---|---|---|---|
| Cone lattice | SDR cone_lattices/; local gallery data/datafiles/cones/lattices/ | Retina-wide cone RF-center positions | Crop geometry used to construct a cMosaic. Resolved by retinalattice.import.sourceLatticeFile. |
| RGC lattice | SDR mrgc_lattices/; local gallery data/datafiles/rgc/lattices/ | Retina-wide midget-RGC RF-center positions | Crop destination geometry used to generate an RGC mosaic. Same resolver. |
| Serialized cone mosaic | SDR cone_mosaics/ | A local, complete cMosaic | Load through mosaicLoad for a precomputed cone realization. |
| Pre-baked RGC mosaic | SDR mrgc_on_circuits/; local gallery ganglioncells/mosaics/ONmRGC/ | A local mRGCMosaic, its input cMosaic, and computed connectivity/model data | Load through mRGCMosaic.loadPrebakedMosaic, which resolves via sdrPrebakedCircuitFile. |
| Compute-ready RGC mosaic | External resource directory selected by getpref('isetbio').rgcResources | A further prepared mRGCMosaic used by optimization workflows | Load through loadComputeReadyRGCMosaic. Not part of the SDR deposit. |
The four SDR collections are cached under data/sdr/isetbio-mosaics/, which
Git ignores. The local galleries above are empty in a fresh checkout; a file
generated locally into one of them takes precedence over the deposited copy.
See sdr-mosaic-data for the deposit, cache, and legacy-filename contract, and
docs/sdr-mosaic-data.md for the user-facing account.
Do not confuse “mosaic” in a filename with a completed circuit. A lattice
contains positions, not cone types, cone–RGC wiring, receptive-field weights,
or response gains. A pre-baked mRGCMosaic contains these circuit elements
and its input cone mosaic.
Follow the Actual Construction Path
Use this dependency order when reasoning about synthesis:
cone lattice → cMosaic
RGC lattice ─┘
→ cone-to-mRGC connectivity → mRGCMosaic circuit modelKey implementation points:
cMosaicnormally crops a cone lattice inretinalattice.import.finalConePositions.retinalattice.import.finalMRGCPositionscrops an RGC lattice.RGCMosaicConstructor.compute.componentsForRFcenterConnectivityaccepts a suppliedcMosaic, builds cone-to-RGC center connectivity withconeToMidgetRGCConnector, and returns the components used to instantiatemRGCMosaic('withComponents', components).RGCMosaicConstructor.compute.centerConnectedMosaicis the usual high-level pipeline, but it creates its own compatible input cone mosaic; it is not a general public wrapper for a caller-suppliedcMosaic.mRGCMosaicis the established class name. Do not rename it merely because its instances model a circuit.
When building a workflow around an arbitrary cMosaic, validate compatible
eye, retinal coordinate transforms, eccentricity/extent, and extra cone
support for RGC surrounds. Do not reuse precomputed connectivity after
changing the input cone positions or cone types.
Show full SKILL.md (282 more words)Show less
Choose the Smallest Correct Loader Change
- Use
mosaicLoadfor the serialized cone-mosaic library. Its legacy parameter and filename calls select a manifest record and fetch it on demand; usemosaicLoad('list')to discover available cone mosaics. Do not overload thecMosaicconstructor’s existingnameparameter: it is a human-readable label, not a resource identifier. - Use
mRGCMosaic.loadPrebakedMosaicfor the pre-baked ON-mRGC circuit models. Preserve its parameter-to-filename convention and its cropping behavior. The filename it builds is the lookup key into the deposit, because the published circuit metadata lost the sign of the x eccentricity; do not switch to selecting by eccentricity and size. - Use
mRGCMosaic.loadComputeReadyRGCMosaiconly for the configured external compute-ready resource set; it currently relies on ISETBio preferences. - Keep the lattices available for any workflow that regenerates a mosaic. A pre-baked file cannot replace them as a general source of geometry.
For remote or on-demand data work, use ISETCam’s ieWebGet rather than adding
another downloader. Keep public loaders and their cache paths stable; resolve
or fetch an absent resource beneath them. Require a stable deposit path,
filename, byte size, checksum, and data-format/version metadata before
removing a bundled asset.
Inspect and Validate
- Search all call sites before relocating data or changing a loader:
rg -n "mosaicLoad|loadPrebakedMosaic|loadComputeReadyRGCMosaic|finalConePositions|finalMRGCPositions". - Inspect representative MAT-file variables before writing migration logic; do not infer content from filenames.
- Update data-path tests if their contract deliberately changes. All four collections have been migrated, so a test must not assert that a bundled lattice or circuit exists on disk.
- Validate both a first fetch/load and a cache-hit load, plus a clear error when the resource is unavailable. For circuit generation, verify dimensions and cone/RGC counts of the connectivity matrices as well as successful construction.
© 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
SKILL.md and 1 other file in .github/skills/retinal-mosaic-data of isetbio/isetbio.
- SKILL.md
- agents/openai.yaml
Open the folder on GitHubat commit d2924c2
Compare with similar skills
Retinal Mosaic Data 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 |
|---|---|---|---|---|---|---|
| Retinal Mosaic Data this skillisetbio/isetbio | 115 | — | ~1.5k | Automated safety check: Pass | MIT | |
| Stripe Projectsfossasia/eventyay | 1.7k | 5 repos | ~2k | Automated safety check: Notes | Apache-2.0 | |
| FoundatioFoundatioFx/Foundatio | 2.1k | — | ~3.9k | Automated safety check: Pass | Apache-2.0 | |
| Wp Block Themesgambitph/Stackable | 351 | 3 repos | ~985 | Automated safety check: Pass | GPL-3.0 | |
| Wp Performancegambitph/Stackable | 351 | 3 repos | ~1.5k | Automated safety check: Pass | GPL-3.0 | |
| Effect Portable Patternsmillionco/expect | 3.6k | — | ~3.7k | Automated safety check: Pass | Custom licence |
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More from isetbio/isetbio
All 9 skills in this repoMatlab Environment
isetbio/isetbio
Configure or troubleshoot a local MATLAB and VS Code environment for ISETBio.
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.
Matlab Testing
isetbio/isetbio
Develop, run, diagnose, or report ISETBio MATLAB tests. An agent skill from isetbio/isetbio.
Tutorial Example Authoring
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Create, move, review, publish, or test ISETBio tutorials, examples, and data-generation scripts.
Sdr Mosaic Data
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Create, publish, organize, or fetch the ISETBio retinal mosaic data deposit in the Stanford Digital Repository (SDR).
Matlab Script Review
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Review existing ISETBio MATLAB tutorial, example, or demo scripts without implementing behavior.
Related
Categories
Questions about Retinal Mosaic Data
What does Retinal Mosaic Data do?
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. Retinal Mosaic Data is an agent skill from 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.
When should I use Retinal Mosaic Data?
Retinal Mosaic Data fits situations like: A task concerns files under data/datafiles/cones; data/datafiles/rgc/lattices; ganglioncells/mosaics; mosaic-loading APIs.
How do I install Retinal Mosaic Data in Claude Code?
Run `npx skills add isetbio/isetbio --skill retinal-mosaic-data -a claude-code`. Or copy the skill folder (.github/skills/retinal-mosaic-data in isetbio/isetbio) into .claude/skills/retinal-mosaic-data in your project. Claude Code loads it when a task matches its description.
How do I install Retinal Mosaic Data in Codex?
Run `npx skills add isetbio/isetbio --skill retinal-mosaic-data -a codex`. Or copy the skill folder (.github/skills/retinal-mosaic-data in isetbio/isetbio) into .agents/skills/retinal-mosaic-data in your project. Codex loads it when a task matches its description.
Can I use Retinal Mosaic Data 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 retinal-mosaic-data -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/retinal-mosaic-data, .gemini/skills/retinal-mosaic-data, .github/skills/retinal-mosaic-data and .opencode/skills/retinal-mosaic-data in your project.
What does Retinal Mosaic Data need to run?
Going by SKILL.md and its folder, Retinal Mosaic Data needs the command-line tools its instructions call (rg).
Does Retinal Mosaic Data 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 Retinal Mosaic Data 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 Retinal Mosaic Data use?
Retinal Mosaic Data 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 Retinal Mosaic Data use?
About 1.5k tokens (SKILL.md is roughly 5.9k 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 Retinal Mosaic Data?
Skills that share tags, products or a category with Retinal Mosaic Data: Stripe Projects (fossasia/eventyay, 1.7k stars), Foundatio (FoundatioFx/Foundatio, 2.1k stars), Wp Block Themes (gambitph/Stackable, 351 stars) and Wp Performance (gambitph/Stackable, 351 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Retinal Mosaic Data?
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.