Image to Three.js Model
img2threejs/img2threejs
Rebuilds the object in a reference image as a procedural, animation-ready Three.js model written entirely in code, using staged sculpting with quality checks.
Run pixtuoid's review locally at either scope — a DIFF review (one lens per matching REVIEW.md local escalation row; the correctness and design lenses are the automatic CI review's, never re-run…
$ npx skills add IvanWng97/pixtuoid --skill local-review -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install IvanWng97/pixtuoid local-review --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/IvanWng97/pixtuoid.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/local-review .claude/skills/local-review && 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 "local-review" agent skill from https://github.com/IvanWng97/pixtuoid/tree/main/.claude/skills/local-review into .claude/skills/local-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "local-review", 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/IvanWng97/pixtuoid/tree/main/.claude/skills/local-reviewType 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 IvanWng97/pixtuoid --skill local-review -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install IvanWng97/pixtuoid local-review --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/IvanWng97/pixtuoid.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/local-review .agents/skills/local-review && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "local-review" agent skill from https://github.com/IvanWng97/pixtuoid/tree/main/.claude/skills/local-review into .agents/skills/local-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "local-review", 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 IvanWng97/pixtuoid --skill local-review -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install IvanWng97/pixtuoid local-review --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/IvanWng97/pixtuoid.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/local-review .cursor/skills/local-review && 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 "local-review" agent skill from https://github.com/IvanWng97/pixtuoid/tree/main/.claude/skills/local-review into .cursor/skills/local-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "local-review", 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/IvanWng97/pixtuoid.git --path .claude/skills/local-review--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 IvanWng97/pixtuoid --skill local-review -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install IvanWng97/pixtuoid local-review --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/IvanWng97/pixtuoid.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/local-review .gemini/skills/local-review && 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 "local-review" agent skill from https://github.com/IvanWng97/pixtuoid/tree/main/.claude/skills/local-review into .gemini/skills/local-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "local-review", 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 IvanWng97/pixtuoid local-reviewInstalls 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 IvanWng97/pixtuoid --skill local-review -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/IvanWng97/pixtuoid.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/local-review .github/skills/local-review && 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 "local-review" agent skill from https://github.com/IvanWng97/pixtuoid/tree/main/.claude/skills/local-review into .github/skills/local-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "local-review", 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 IvanWng97/pixtuoid --skill local-review -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install IvanWng97/pixtuoid local-review --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/IvanWng97/pixtuoid.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/local-review .opencode/skills/local-review && 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 "local-review" agent skill from https://github.com/IvanWng97/pixtuoid/tree/main/.claude/skills/local-review into .opencode/skills/local-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "local-review", 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.
local-reviewRun pixtuoid's review locally at either scope — a DIFF review (one lens per matching REVIEW.md local escalation row; the correctness and design lenses are the automatic CI review's, never re-run…
Local Review is an agent skill from IvanWng97/pixtuoid. Run pixtuoid's review locally at either scope — a DIFF review (one lens per matching REVIEW.md local escalation row; the correctness and design lenses are the automatic CI review's, never re-run locally) or a whole-codebase AUDIT (subsystem × factor fan-out). Use when a diff touches a local-only row, on 'is this ready to merge', or on 'whole-codebase review' / pre-release / periodic audit.
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Game Development. The repository describes itself as: Terminal pixel-art office for AI coding agents. The licence is MIT.
7 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 413c70c. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
ghrgFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use gh, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Local Review loads about 1.4k tokens when it runs. Until then it costs about 101 tokens; SKILL.md has 500 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.
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.
The full file from IvanWng97/pixtuoid at commit 413c70c, republished under its MIT licence (© IvanWng97). 500 words, ~1,410 tokens.
.claude/skills/local-review/SKILL.md (or your agent's skills folder).Every rule is REVIEW.md's; fill briefs from it, never a
paraphrase here.
Isolate the branch in a worktree (two sessions on one tree race on
HEAD). Note path, branch, base and head sha.
Dispatch one lens per matching local row, in parallel, in the
background: model: sonnet for a lens that reads evidence or runs a
mechanical check (test lists, mutations, renders, a walk), opus only for
a design gate. Each briefed:
You are the <row> lens for <PR/branch> on pixtuoid.
Worktree: <path> (branch <name>, base <sha>, head <sha>), read-only;
stop if HEAD is not that head.
Diff: git -C <path> diff <base>..<head>.
Read AGENTS.md, then apply REVIEW.md's <row> and its Common
section.
<change-specific claims (from the PR body's impl-plan answers) or design
questions, one per line>
Run the applicable gates; report each exit code as observed, never through
a pipe. Each finding carries an integer confidence 0–100. Your final
message is the report, ending in one verdict: APPROVE or
REQUEST-CHANGES.The filled slots are the quality lever; a lazily filled one turns every lens generic.
Collect and verify. A one-word or placeholder return is a STUB, not a review: re-run that lens alone (#455). Verify every finding's premise yourself before coding a fix — read the comments on the item it names first — and REFUTE deliberate design with its mechanism.
Fold accepted findings into ONE commit, with a plan-miss: line per
finding the plan never named.
Disposition each finding in a review thread. The bots open theirs; open each local finding the same way, then reply and resolve:
pr=<N>; head=$(gh pr view $pr --json headRefOid -q .headRefOid)
# Off the diff's lines: `-f subject_type=file` instead of line + side; a path
# outside the diff (or removed by it) goes on the first surviving changed file,
# its location in the body.
gh api repos/{owner}/{repo}/pulls/$pr/comments -f commit_id=$head \
-f path=<path> -F line=<n> -f side=RIGHT -F body=@<finding file>
threads='query($owner:String!,$name:String!,$n:Int!){repository(owner:$owner,name:$name){pullRequest(number:$n){reviewThreads(first:100){totalCount nodes{id isResolved isOutdated path line comments(first:50){nodes{body}}}}}}}'
gh api graphql -F owner='{owner}' -F name='{repo}' -F n=$pr -f query="$threads"
gh api graphql -f t=<thread id> -F b=@<disposition file> \
-f query='mutation($t:ID!,$b:String!){addPullRequestReviewThreadReply(input:{pullRequestReviewThreadId:$t,body:$b}){comment{id}}}'
gh api graphql -f t=<thread id> \
-f query='mutation($t:ID!){resolveReviewThread(input:{threadId:$t}){thread{isResolved}}}'Record each row's run as the gate defines, naming the head the lens judged; a push the gate does not carry over needs the lens run again at the new head.
Before merge, judge against the gate.
Population = the tree, where the aggregate-only classes live (cross-PR
interaction, drift, debt accretion, coverage-topology gaps, invariant erosion,
orphaned surface). Prefer a Workflow, else parallel Agents; scale to the
ask. Scout the work-list → subsystem finders (site and Raycast RENDERED) plus
per-factor finders (arch invariants · concurrency/liveness · security threat
model · performance · mutation depth on hot logic · silent failure · drift ·
deep modules) plus a SYSTEM lens (decomposition, dependency directions) and a
DRY census → adversarial verify, default REFUTE, one skeptic per finding and
2–3 differentiated ones for security/concurrency, majority confirms →
loop until two consecutive rounds come back empty → a completeness critic
("what modality did we NOT run?" seeds the next round) → dedup and rank,
keeping the refuted-as-deliberate list → dispositions plus a stale-phrase
sweep (rg --hidden) at 0. Involved refactors land in-arc; each bigger item
the owner keeps becomes a FOLLOW-UP PR.
| Thought | Reality |
|---|---|
| "CI is green, that's enough" | CI can't see design, blast radius, drift, or a deliberate-looking real bug. |
| "The bots will render it" | A bot reads the diff and the base tree; a local row's run is yours. |
| "I'll note the finding and move on" | Every finding needs a terminal state. |
| "The diff looks clean, we're done" (audit) | Drift, debt accretion and erosion accumulate between PRs; only the audit sees them. |
| "The finder found it, report it" (audit) | A separate skeptic tries to REFUTE each survivor first. |
| "Just unify the duplication" | Some duplication is documented deliberate separation; read the item's comments first. |
© IvanWng97, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .claude/skills/local-review of IvanWng97/pixtuoid.
Open the folder on GitHubat commit 413c70c
Local Review 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 |
|---|---|---|---|---|---|---|
| Local Review this skillIvanWng97/pixtuoid | 491 | — | ~1.4k | Automated safety check: Pass | MIT | |
| Image to Three.js Modelimg2threejs/img2threejs | 18k | 1 repos | ~8.2k | Automated safety check: Pass | Apache-2.0 | |
| Web CloneJane-xiaoer/claude-skill-web-clone | 1k | 1 repos | ~2.7k | Automated safety check: Pass | MIT | |
| Threejs Game Directormajidmanzarpour/threejs-game-skills | 2.5k | — | ~2.2k | Automated safety check: Pass | MIT | |
| Game Asset Generatorhtdt/godogen | 7.1k | — | ~2.8k | Automated safety check: Pass | MIT | |
| Threejs Gameplay Systemsvalkor-ai/loom | 1.2k | 1 repos | ~1.4k | Automated safety check: Pass | Apache-2.0 |
img2threejs/img2threejs
Rebuilds the object in a reference image as a procedural, animation-ready Three.js model written entirely in code, using staged sculpting with quality checks.
Jane-xiaoer/claude-skill-web-clone
网站复刻 / 克隆方法论。USE WHEN 用户说 复刻网站、克隆网站、clone website、抄个站、仿站、 照着这个站做一个、reproduce site、还原某个网页效果、把这个站搬下来改成我的、 复刻某个交互/WebGL/Canvas/Three.js 效果。提供「先拿真源码 → 判路径 → 逆向拆解 → 搭工程 → 替换内容」的可移植决策树,覆盖静态站 /…
majidmanzarpour/threejs-game-skills
Entrypoint for building, upgrading, and finishing Three.js browser games.
htdt/godogen
Generates game art from text prompts: PNG images, GLB 3D models, rigged characters, animations and sprites, with background removal.
valkor-ai/loom
Build and iterate playable Three.js game systems: starter scaffold, architecture, design briefs, core loops, level and encounter design, entities, input, camera, collision and physics, scoring…
CyberAgentGameEntertainment/NovaShader
Execute C with Unity APIs when existing uloop tools cannot inspect or edit enough.
IvanWng97/pixtuoid
Iterate on the visual identity of a top-down pixel-art decoration (sprite + layout integration) in pixtuoid.
IvanWng97/pixtuoid
Generate a royalty-free lofi (or rain / typing / chime / any ambient) soundtrack ENTIRELY in code — no sampled audio ships.
IvanWng97/pixtuoid
Wire a new agent-CLI Source adapter into pixtuoid (a new coding CLI whose sessions become office sprites).
IvanWng97/pixtuoid
Add a new color theme to pixtuoid (a full Theme palette, rendered into the office).
Categories
Run pixtuoid's review locally at either scope — a DIFF review (one lens per matching REVIEW.md local escalation row; the correctness and design lenses are the automatic CI review's, never re-run…. Local Review is an agent skill from IvanWng97/pixtuoid.md local escalation row; the correctness and design lenses are the automatic CI review's, never re-run locally) or a whole-codebase AUDIT (subsystem × factor fan-out).
Local Review fits situations like: A diff touches a local-only row; on is this ready to merge; on whole-codebase review / pre-release / periodic audit.
Run `npx skills add IvanWng97/pixtuoid --skill local-review -a claude-code`. Or copy the skill folder (.claude/skills/local-review in IvanWng97/pixtuoid) into .claude/skills/local-review in your project. Claude Code loads it when a task matches its description.
Run `npx skills add IvanWng97/pixtuoid --skill local-review -a codex`. Or copy the skill folder (.claude/skills/local-review in IvanWng97/pixtuoid) into .agents/skills/local-review in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add IvanWng97/pixtuoid --skill local-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/local-review, .gemini/skills/local-review, .github/skills/local-review and .opencode/skills/local-review in your project.
Going by SKILL.md and its folder, Local Review needs the command-line tools its instructions call (gh and rg).
SKILL.md contains no URLs. Its commands use gh, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
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.
Local Review is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.4k tokens (SKILL.md is roughly 5.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Local Review: Image to Three.js Model (img2threejs/img2threejs, 18k stars), Web Clone (Jane-xiaoer/claude-skill-web-clone, 1k stars), Threejs Game Director (majidmanzarpour/threejs-game-skills, 2.5k stars) and Game Asset Generator (htdt/godogen, 7.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
IvanWng97 (a GitHub user) maintains it in IvanWng97/pixtuoid, which has 491 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on October 11, 2026.
Source: IvanWng97/pixtuoid on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.