submit
Skill473 starsChanged 44 days agoMITView on GitHub
Turn the sprite you just made into a gallery pull request against with-pebbly/aseprite-ai-artist — exported files, an honest generation.yaml (prompts verbatim, model, plugin version, validate results, optional benchmark scoring), checked with `pnpm gallery:check`, opened with the gh CLI. Use when the user wants to share, publish or submit their work to the gallery or the benchmark.
- Commits and pushes
11 other projects use a version of this.
Adopted by
Most recently taken up by
- huntie/skillstheir own version, first seen Nov 1, 2026
- korya/swd-skillstheir own version, first seen Nov 1, 2026
- tenex-labs/anthropic-claude-code-training-publictheir own version, first seen Oct 25, 2026
- snappedly/skillstheir own version, first seen Oct 13, 2026
- hsantanna88/clo-authortheir own version, first seen Oct 9, 2026
- hugosantanna/clo-authortheir own version, first seen Oct 8, 2026
Used with
Projects with it also use revise and spec.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
stormlightlabsSkillrevise
Address review comments on an open pull request and push the fixes. Use for /edit, /revise, or when asked to respond to review feedback on a PR number.
Also in 3 projects that use this
SentrySkillspec
Produce a verified spec — problem, desired outcome, and acceptance criteria — before building. Use when given a GitHub/Linear issue link, when starting from a fuzzy in-conversation idea, or asked to "figure out what to do" / "scope this" / "what should I build" — whenever the *what* isn't yet pinned down. Grills the ambiguities, checks the premise against the code, and produces acceptance criteria you sign off on — then hands to design-first.
Also in 3 projects that use this
Other versions11 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 11
- H-mmer/pentest-agents★ 815same name
- lablup/backend.ai★ 679same name
- hsantanna88/clo-author★ 262same name
- hugosantanna/clo-author★ 262same name
- JJFromTenex/claude-code-training★ 8same name
- korya/swd-skills★ 2same name
- snappedly/skills★ 2same name
- tenex-labs/anthropic-claude-code-training-public★ 2same name
- HimadriTrying/ai-job-search-agent★ 1same name
- huntie/skills★ 0same name
1 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
The file
We split this skill into the rules it gives an agent
10 rules. 0 are common, 2 are distinctive, and 8 are very specific to this project.
0
Common
Most of the 8 edited versions we read keep these.
2
Distinctive
This author's own choices. Worth a look.
8
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 19
Check all three before touching anything.
- Very specific: line 22
preflightis ready: Not ready → stop. Never export or edit files on disk instead of the live document. - Very specific: line 24
The work is finished and reviewed: Run aseprite:review if it has not been.
- Very specific: line 26
ghis installed and authenticated: Run gh auth status. Missing → tell the user to install it (https://cli.github.com) and run gh auth … - Very specific: line 60
Only if the user says the run followed a benchmark prompt and the user is a maintainer.
- Very specific: line 66
Not listed, or either call fails → not a maintainer: say benchmarks are run by the maintainers, skip this section and submit a gallery …
- Very specific: line 83
Write benchmark: {prompt, revision, results} with the prompt's revision and one result per criterion id.
- Very specific: line 104
Per step: When steps produced separate documents or intermediate saves, export the source (and a still) for each and set step on those …
- Distinctive: line 111
Look at the cover and the GIF's first frame before continuing: what goes into the public gallery is what you exported, not what you …
- Very specific: line 172
Use a clone of the user's fork if one exists.
“Common” is measured: kept by at least 6 in 10 of the 8 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Submit a finished sprite to the community gallery
The gallery keeps how a sprite was made next to the sprite: the prompts as
sent, the model, the plugin version, what validate said. A submission that
tidies any of that up is worse than none — the benchmark compares models on
it. Record what happened, not what you wish had.
The contract is gallery/src/schema.ts in the repository; pnpm gallery:check
enforces it. This workflow produces files that pass it.
1. Preconditions
Check all three before touching anything. If one fails, stop and tell the user exactly what to do; never route around it.
preflightis ready. Not ready → stop. Never export or edit files on disk instead of the live document.- The work is finished and reviewed. Run
aseprite:reviewif it has not been. Submitting art that fails review puts it in public. ghis installed and authenticated. Rungh auth status. Missing → tell the user to install it (https://cli.github.com) and rungh auth login. There is no other route to a pull request.
Then ask for consent, once, before anything leaves the machine: "I will fork
with-pebbly/aseprite-ai-artist on your GitHub account, push a branch, and
open a public pull request with your sprite and the prompts used. OK?" Forking,
pushing and opening a PR act as the user, in public. No yes, no fork.
2. Gather metadata
Take what the session already knows. Ask the user only for the rest, in one message.
| Field | Source |
title, description | Ask. Offer a title drawn from the work. |
author.name, author.github | gh api user --jq '.name,.login' as the default; let the user override. Handle without @. |
harness | You know which you run in: claude-code, omp, codex, gemini-cli, cursor… |
models | The model id exactly as the harness names it (claude-opus-4-1, gpt-5). Not a nickname. If different models ran different steps, list each once and name the model on every step. |
plugin | preflight returns extensionVersion — the plugin build attached to Aseprite. Use it. If its directive says the extension and the server differ, the run mixed two builds and has no single version: stop and tell the user to align them (install-extension, restart Aseprite) before submitting. If extensionVersion is null, run npx @pebbly/aseprite-ai-artist --version. It must be a released version listed in the repo's CHANGELOG.md; a dev or unreleased build cannot be submitted — say so. |
steps[].text | Every user prompt that shaped the work, verbatim and in order, copied from the conversation. Never paraphrase or merge. A prompt sent in another language may be rendered in English here only if the verbatim text goes into steps[].original — never for a benchmark run. |
steps[].interventions | Each clarifying question you asked and the answer the user gave, plus any steering beyond the prompt. Empty if none. |
references | Where the design came from — required, never guessed. source: none when the work was drawn from words alone (the user chose "continue without" in aseprite:concept, or it was never offered). generated when an image model made a concept sheet or storyboard: ask which model if you do not know, list it in imageModels, the kinds in kinds, and put the image prompt you wrote in prompt. supplied when the user handed over their own art. Copy the reference image into the folder as a reference file when you have it. |
date | Today, yyyy-mm-dd. |
tags | A few lowercase words: character, animation, 32x32. |
For each step run validate on the state the step produced (or on the final
document if steps were not saved separately) and record errors, warnings,
score and passed as the tool reported them. Do not round a failing report
into a pass.
3. Benchmark mode
Only if the user says the run followed a benchmark prompt and the user is a
maintainer. Benchmark runs are the project's own measurements; the checker and
CI refuse a benchmark: block from anyone else. Check first: take the login
from gh api user --jq .login (never from what the user typed or the YAML), and
look for it, case-insensitively, in
https://raw.githubusercontent.com/with-pebbly/aseprite-ai-artist/main/gallery/MAINTAINERS.
Not listed, or either call fails → not a maintainer: say benchmarks are run by
the maintainers, skip this section and submit a gallery generation. A maintainer
sets author.github to that same login.
- Fetch its definition: the local clone's
gallery/prompts/<id>/prompt.yaml, orhttps://raw.githubusercontent.com/with-pebbly/aseprite-ai-artist/main/gallery/prompts/<id>/prompt.yaml. - Confirm the run followed the fixed
setup(canvas, palette, theruleslist) and that every step's text equals the prompt's step text word for word — only surrounding whitespace and line endings are ignored. Any difference — a reworded step, extra steering, a reference image — means this is not a benchmark run. Submit it as a free generation (omitbenchmark) and tell the user why. - Judge every criterion in the prompt, none skipped. Get the evidence first:
lookoppreviewfor the read, a filmstrip or onion-skinned view for motion,validate(withexpectwhere the criterion names a contract),tag op="list",frame op="list". Recordpassand a one-linenotenaming what you saw. Never mark a pass on a criterion whose evidence you did not look at in this session; look now, or mark it failed and say why. - Write
benchmark: {prompt, revision, results}with the prompt'srevisionand one result per criterionid.
4. Export
Stage everything in one flat folder named <yyyy-mm-dd>-<slug>, slug lowercase
with single hyphens. Use the plugin's own export; never write these by hand.
- Save the live document, then keep a copy:
sprite_manage op="save", thenexport op="aseprite" path="<folder>/<slug>.aseprite". Rolesource. The gallery keeps the editable original; never copy or edit a.asepritefile from disk. - Cover.
export op="png" scale=N frame=1 path="<folder>/<slug>.png"with the smallest integerNthat makes the long side at least 256 px (32×32 → 8), capped at the tool's maximum of 16 — a smaller sprite simply gets a smaller cover. For an animation, the GIF can be the cover instead. Rolecover; exactly one file. - Animation (more than one frame):
export op="gif" scale=N path="<folder>/<slug>.gif", same scale. Roleanimation, orcoverif it is the cover. - Filmstrip (animated):
export op="spritesheet" sheetType="horizontal" scale=N includeJson=false path="<folder>/<slug>-strip.png", same scale. Rolefilmstrip. - Per step. When steps produced separate documents or intermediate saves,
export the source (and a still) for each and set
stepon those files.
Files stay flat — no subfolders — and only .aseprite, .png, .gif, .webp
or .json. Each file must be under 95 MiB (GitHub hard-blocks 100); anything
over 50 MiB draws a warning, so keep covers and GIFs small.
Look at the cover and the GIF's first frame before continuing: what goes into the public gallery is what you exported, not what you remember drawing.
5. Write generation.yaml
In the staging folder, exactly per the schema:
title: Cherry tree in bloom
description: A 64×64 cherry tree drawn to the tree-growth brief.
date: 2026-09-29
author: { name: Ada Lovelace, github: ada }
plugin: 0.3.2
harness: claude-code
models: [claude-opus-4-1]
tags: [nature, animation]
references:
source: generated
imageModels: [gpt-image-2]
kinds: [concept-sheet]
steps:
# the step text exactly as sent — for a benchmark run, verbatim from
# prompt.yaml (cut short here)
- text: |-
The document is already open: 64×64 pixels, RGB, with the PICO-8 palette loaded (16 colours). …
interventions: []
files:
- { path: tree.png, role: cover, label: The tree, step: 1 }
- { path: tree.aseprite, role: source, label: Source document }
validate:
- { step: 1, passed: true, score: 92, errors: 0, warnings: 1 }
benchmark: # only for a confirmed benchmark run
prompt: tree-growth
revision: 1
results:
- { criterion: tree-validate, pass: true, note: "validate: 0 errors, 1 warning, named." }Rules that fail the check when missed:
- Exactly one
cover(png/gif/webp) and at least one.asepritewith rolesource; every file listed once, nothing unlisted in the folder. - With more than one model, every step names its
model, and it appears inmodels. stepvalues andvalidate[].stepare 1-based and must exist.benchmark.resultsnames criterion ids that exist in the prompt.
Two optional blocks:
metrics— per step, from the session you can see:minutes,toolCalls,outputTokens,costUsd. Fill only what the harness actually reports; never estimate.ratings— leave them out. You took part in this run, and the checker refusesmodel:<id>for any of the run's own models. Judges add ratings later, blind, againstgallery/RUBRIC.md.
Show the user the final YAML and the file list, and wait for a go-ahead. They are about to publish it under their name.
6. Validate in a clone
- Use a clone of the user's fork if one exists; otherwise fork and clone
(
gh repo fork with-pebbly/aseprite-ai-artist --clone) — consent from step 1 covers this. Make sure the checkout is up to date with upstreammain. - Copy the staging folder to
gallery/generations/<folder>/. pnpm installifnode_modulesis missing, thenpnpm gallery:check.- Fix every error and re-run until clean. Fix by correcting the YAML or re-exporting, never by editing the recorded truth (prompts, results) to satisfy the checker. Warnings: read them, mention them to the user.
Never submit with errors.
7. Submit
git switch -c gallery/<folder>
git add gallery/generations/<folder>
git commit -m "gallery: <title>"
git push -u origin gallery/<folder>
gh pr create --repo with-pebbly/aseprite-ai-artist --head <login>:gallery/<folder> --title "gallery: <title>" --body-file <filled body>Build the body from .github/PULL_REQUEST_TEMPLATE/generation.md in the clone:
keep its sections and checklist, fill them honestly — what the sprite is,
harness, model, plugin version, whether it is a benchmark run and its score —
and pass that file as --body-file. Before pushing, git
status must show only the one folder as added; anything else in the diff means
stop and clean it up. A PR adds its own folder and nothing more.
Report the PR URL. Tell the user CI will re-run gallery:check and that a
maintainer reviews it.
Failure modes
| Symptom | Do |
preflight not ready / not_connected | Stop. Relay the tool's directive. Do not touch files on disk. |
gh missing or not logged in | Stop. Give the install and gh auth login steps. |
| User declines consent | Stop; leave the staging folder for them and say where it is. |
pnpm gallery:check errors | Fix the YAML or files, re-run. Never submit red. |
| A file exceeds the size limit | Lower the export scale, drop the GIF to a shorter loop, or use a PNG cover; never strip the .aseprite. |
| Prompt text differs from the benchmark's | Not a benchmark run. Drop benchmark, submit as a free generation, say why. |
Plugin version not in CHANGELOG.md | It is an unreleased build. Tell the user; they can submit after installing a released version. |
| Push or PR creation fails | Report the gh error as printed; do not retry with other credentials or routes. |
Related
aseprite:review before submitting, aseprite:export for export options,
rules://07-review-checklist.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

