Finishing a Development Branch
obra/superpowers
Walks the last step of a branch: confirm tests pass, detect the git environment, ask how to integrate, carry out your choice and clean up the worktree.
Build a Game Lab for one mechanic of a studio's game (the jump, a hit, a dash, a drift, a landing) and iterate on how it FEELS with the creator, side by side.
$ npx skills add hashgraph-online/awesome-codex-plugins --skill lab -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins lab --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/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/homie-rocks/homie/skills/lab .claude/skills/lab && 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 "lab" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/homie-rocks/homie/skills/lab into .claude/skills/lab/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lab", 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/hashgraph-online/awesome-codex-plugins/tree/main/plugins/homie-rocks/homie/skills/labType 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 hashgraph-online/awesome-codex-plugins --skill lab -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins lab --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/homie-rocks/homie/skills/lab .agents/skills/lab && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "lab" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/homie-rocks/homie/skills/lab into .agents/skills/lab/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lab", 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 hashgraph-online/awesome-codex-plugins --skill lab -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins lab --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/homie-rocks/homie/skills/lab .cursor/skills/lab && 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 "lab" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/homie-rocks/homie/skills/lab into .cursor/skills/lab/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lab", 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/hashgraph-online/awesome-codex-plugins.git --path plugins/homie-rocks/homie/skills/lab--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 hashgraph-online/awesome-codex-plugins --skill lab -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins lab --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/homie-rocks/homie/skills/lab .gemini/skills/lab && 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 "lab" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/homie-rocks/homie/skills/lab into .gemini/skills/lab/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lab", 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 hashgraph-online/awesome-codex-plugins labInstalls 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 hashgraph-online/awesome-codex-plugins --skill lab -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/homie-rocks/homie/skills/lab .github/skills/lab && 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 "lab" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/homie-rocks/homie/skills/lab into .github/skills/lab/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lab", 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 hashgraph-online/awesome-codex-plugins --skill lab -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins lab --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/homie-rocks/homie/skills/lab .opencode/skills/lab && 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 "lab" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/homie-rocks/homie/skills/lab into .opencode/skills/lab/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lab", 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.
labBuild a Game Lab for one mechanic of a studio's game (the jump, a hit, a dash, a drift, a landing) and iterate on how it FEELS with the creator, side by side.
Lab is an agent skill from hashgraph-online/awesome-codex-plugins. Build a Game Lab for one mechanic of a studio's game (the jump, a hit, a dash, a drift, a landing) and iterate on how it FEELS with the creator, side by side. The lab plays one short take in two builds at once, New (the working tree) and Today (the last commit), on one clock with the same seed and presses, slowed to a tenth or stepped a frame at a time, with a timeline of named phases, graphs of tracked values New against Today, the game's own onion skins and arcs, preset views, a phone-size view, and live…
Its SKILL.md is about 2.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `references/API.md`, `references/PRINCIPLES.md` and `references/record-lab.json`).
It sits in Development. It works with Git. The repository describes itself as: A curated list of awesome OpenAI Codex / ChatGPT plugins, skills, and resources. The 1 Codex Marketplace. See live plugins at: https://hol.org/plugins/best-codex-plugins. The licence is Apache-2.0.
7 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 78497e5. 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:
npxgitnpmnodeFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use npx, git and npm, 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.
Lab loads about 2.7k tokens when it runs, and up to ~5.2k if it reads all its reference files. Until then it costs about 211 tokens; SKILL.md has 1,590 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 hashgraph-online/awesome-codex-plugins at commit 78497e5, republished under its Apache-2.0 licence (© hashgraph-online). 1,590 words, ~2,732 tokens.
.claude/skills/lab/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.A studio is the folder with studio.json. The lab is npx --no-install homie-studio lab <game> (from
@homie-rocks/studio 0.20.0): a page on this computer that plays a take (games/<game>/lab.json) in New (the
working tree, rebuilt on every save) beside Today (HEAD, or --today <ref>). Both run on the lab's clock: frame f
is exactly f/fps seconds, the dice are seeded, the presses land on the same frames, so a take plays the same every
time and the two builds can be compared frame by frame. The page checks that too: "Replays match" (or where they
differ). homie-studio lab check <game> plays the same take headless and writes numbers, a contact sheet and a still.
The game opts in with a few calls from @homie-rocks/studio/lab (every one a no-op outside the lab, so they stay in
the game). references/API.md has every call, the take format and the multiplayer rules; references/PRINCIPLES.md
has the principles of feel this skill works from, with honest sources.
df -h .: keep 10 GB free. Commit or stash what the person is working on: Today is a commit, and the lab never
touches git beyond reading it (Today is built from git's own checkout of the ref, in .studio/lab/, git-ignored).Make the lab able to see the mechanic without changing how it feels (Today must be the game as it is):
const T = lab.tunables(tuning).lab.phase('LAUNCH', 'Leaves at full speed, slows evenly'), lab.phase(null)
when it is over. Short capital names; the note says what the phase is FOR. Name today's phases honestly: a
mechanic with no anticipation has no COIL.lab.track(name, v, unit)).
Speed from the position each frame (distance / dt) is honest whatever the code does inside.lab.pose('subject', { x, y, sx, sy, a }) each frame, and the game's own onion (ghosts
every few frames), arcs (the path with a dot a frame: spacing) and a reach or hit box (lab.overlay), drawn
by lab.draw(ctx, scale) in world space.lab.camera({ game: null, close: { zoom: 2.4 }, arena: { whole: true } }); 3D: side, front, top, orbit.@homie-rocks/studio/animate): pass the lab's tunables to loadCharacter(models, url, { tune: T })
and copy its ANIM_TUNING (fade, walkSpeed, runSpeed, actSpeed, jumpStretch, landSquash, squashHz, lean, flinch,
lookAt, spring) into tunables.json's "Motion" group: the clips' blends, the squash and stretch and the lean become
sliders too. Report the character's own state (IDLE, RUN, JUMP, FALL, LAND, ATTACK, HIT) as phases when the move
is an animation. The hero-rush-3d starter's takes ("jump", "swing") show it; the animate skill has the rest.lab.stage === 'dummy'
where the round starts. Only the lab ever sets it. Keep a real-play take too.{ "at": 0.5, "key": "Space" }), the view and track
to open on. Or record one: press REC in the lab and play it in NEW (both builds get the presses).Guard allocation: report from one if (lab.on) labReport(dt) a frame. Then:
npx --no-install homie-studio lab check <game> # phases show, replays match, New = Today
git commit -m "Lab: instrument <the mechanic> (no change to how it feels)"Open the lab (npx --no-install homie-studio lab <game>, a background task; give the person the link; never open a
browser yourself) and read the take at ¼ speed with the onion skin and arcs on. Say what you see in the terms of
references/PRINCIPLES.md: no anticipation, no impact moment (hit-stop), even spacing (no ease), a creep and a pop at
the end, no follow-through or overlap, a rigid body (no squash and stretch), a camera that never reacts.
References: describe the principle and, if it helps, a well-known game where anyone can see it, in your own words. Never copy another game's art, code, sounds or frame data, and never state another game's exact numbers unless you measured them yourself from footage the person can see or a public source you name.
Write the proposal as the phases the move will have and the number that shapes each one, for example:
HIT-STOP 70 ms (the body holds, white, squashed) → LAUNCH (leaves at 1500 px/s, stretched 30%) → SLIDE (eases into the stop over 185 px, the same at 12 fps as at 60) → SETTLE 260 ms (squash, then a wobble: overlap).
Change the game in the working tree; the lab rebuilds New on save and replays the take. Then:
npx --no-install homie-studio lab check <game> # New against Today: phases, peaks, JavaScript per frameRead REPORT.md and look at sheet.png (the lab at each phase's start, New beside Today) before you say anything
about it. Tell the person in a few lines: which phases New has that Today did not, the numbers that moved, and what
to watch for in the lab. The person tunes with the sliders and presses Keep in code (written into
tunables.json, one line a value), or tells you, and you run npx --no-install homie-studio lab set <game> name=value.
A studio game is played in a room. A feel change must look the same on every screen and keep the two-browser check green:
net.send('knock', { slot, dx, dy }))
or a change in the snapshot (a slime's hit points dropping). Flashes, squash, sparks and numbers are drawn locally.lab.random() for particles and shake, never Math.random(): the world's dice must be the same in
both builds for the lab to compare them, and lab.random() is Math.random() outside the lab.Then the game's own check: npm run dev (background), npx --no-install homie-studio check <game> --url http://127.0.0.1:8787. It must pass before anything is kept.
lab check prints the game's JavaScript per frame, New against Today, on the same frames (the mean: Chrome times a
page in steps of about 0.1 ms). It is a hint. For the real cost, the perf skill measures both builds in a room, on
an emulated phone, in alternating pairs: perf.mjs baseline <game> with games/<game>/ at Today (git stash the
change, or check out HEAD's copy of the folder), then the change back and perf.mjs try <game> --name "<the feel change>" --looks "<what looks different>" --plays "<what plays different>" --measure. --measure is required here:
without it try reverts anything that is not faster, and a feel change is kept for its feel, not its speed. Tell the
person the result in numbers: frames (p95), the main thread per frame, time to playable, against Today. In this
skill's own proof the bump cost 0.09 ms of main thread a frame on the emulated phone (1.48 to 1.57 ms, +4.9%, within
the noise) with frames unchanged at 16.7 ms. Never say a feel change is free from the code.
The person decides. Revert what they did not like (only those lines, in games/<game>/), keep the rest, run
lab check and the two-browser check once more, then commit with the phases in the message:
git add games/<game> && git commit -m "<Game>: the bump lands (hit-stop 70 ms), flies stretched, eases out, settles"Record a side-by-side clip the person can share with the video skill's record, driving the lab page itself:
references/record-lab.json is a steps file (play at 1x, then ¼ with the onion skin, then step through the phases).
node <video.mjs> record lab-<game> --steps <steps> --url http://127.0.0.1:8790. Stop the lab when done:
npx --no-install homie-studio lab --stop (this studio's only; it also removes the checkouts Today was built from).
http://127.0.0.1:8790/<game>/ (run the lab as a background task).game_lab tool starts the lab and answers with
a card: a still of New beside Today at the take's busiest moment, the phases of each, the numbers, and Open.if (lab.on) around reporting).lab --stop), or open a browser for the person.© hashgraph-online, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 3 other files (references) in plugins/homie-rocks/homie/skills/lab of hashgraph-online/awesome-codex-plugins.
Open the folder on GitHubat commit 78497e5
Lab 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 |
|---|---|---|---|---|---|---|
| Lab this skillhashgraph-online/awesome-codex-plugins | 1.2k | — | ~2.7k | Automated safety check: Pass | Apache-2.0 | |
| Finishing a Development Branchobra/superpowers | 296k | 5 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Code Review ChecklistshareAI-lab/learn-claude-code | 78k | 5 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Codebase Knowledge Graph Q&AEgonex-AI/Understand-Anything | 86k | 1 repos | ~1.2k | Automated safety check: Pass | MIT | |
| Code Design Rationale Investigatorcursor/plugins | 10k | 9 repos | ~2.6k | Automated safety check: Pass | None | |
| Understand Diff AnalysisEgonex-AI/Understand-Anything | 86k | 1 repos | ~1.4k | Automated safety check: Pass | MIT |
obra/superpowers
Walks the last step of a branch: confirm tests pass, detect the git environment, ask how to integrate, carry out your choice and clean up the worktree.
shareAI-lab/learn-claude-code
Reviews code against a five-part checklist covering security, correctness, performance, maintainability and testing, and reports findings in a fixed format.
Egonex-AI/Understand-Anything
Answers questions about a codebase by searching a prebuilt knowledge graph of its files, functions, classes and dependencies, not by rereading every source file.
cursor/plugins
Digs into why code is shaped the way it is by checking git history, pull requests and connected tools in parallel, then reporting a cited read on the tradeoffs.
Egonex-AI/Understand-Anything
Reads your git changes or a pull request against a prebuilt knowledge graph of the project to explain what changed, which components are affected and what is risky.
Egonex-AI/Understand-Anything
Gives an in-depth explanation of one file, function or module by reading the project's knowledge graph and checking that the graph is still fresh.
hashgraph-online/awesome-codex-plugins
Create original anime-style reaction stickers as looping GIFs and MP4 previews, using generated character pose sheets and timed key poses.
hashgraph-online/awesome-codex-plugins
Manage and query Calibre libraries with the calibredb CLI (local paths or Calibre Content server URLs).
hashgraph-online/awesome-codex-plugins
A skill your agent uses when adding, changing, testing, or debugging Rust HTTP APIs and services, especially when Codex needs black-box integration tests, random-port app startup, real database test…
hashgraph-online/awesome-codex-plugins
Make a studio's game look like something at build time — a cover from a real frame of the game (free), painted covers, backdrops, textures and character plates from image models through the…
hashgraph-online/awesome-codex-plugins
Balance game difficulty, resources, rewards, probability, progression, economies, and dominant strategies.
hashgraph-online/awesome-codex-plugins
Analyze nonfiction manuscripts for reader engagement signals, including heading-level word counts, slow starts, long slogs, weak takeaway titles, value pacing, beta-reader comment dropoff, and…
Works with
Categories
Build a Game Lab for one mechanic of a studio's game (the jump, a hit, a dash, a drift, a landing) and iterate on how it FEELS with the creator, side by side. Lab is an agent skill from hashgraph-online/awesome-codex-plugins. Build a Game Lab for one mechanic of a studio's game (the jump, a hit, a dash, a drift, a landing) and iterate on how it FEELS with the creator, side by side.
Lab fits situations like: someone says iterate on the jump; make the hit feel punchier; the dash feels floaty; the landing is stiff.
Run `npx skills add hashgraph-online/awesome-codex-plugins --skill lab -a claude-code`. Or copy the skill folder (plugins/homie-rocks/homie/skills/lab in hashgraph-online/awesome-codex-plugins) into .claude/skills/lab in your project. Claude Code loads it when a task matches its description.
Run `npx skills add hashgraph-online/awesome-codex-plugins --skill lab -a codex`. Or copy the skill folder (plugins/homie-rocks/homie/skills/lab in hashgraph-online/awesome-codex-plugins) into .agents/skills/lab 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 hashgraph-online/awesome-codex-plugins --skill lab -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/lab, .gemini/skills/lab, .github/skills/lab and .opencode/skills/lab in your project.
Going by SKILL.md and its folder, Lab needs the command-line tools its instructions call (npx, git, npm and node). Our summary lists: Node.js.
SKILL.md contains no URLs. Its commands use npx, git and npm, 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.
Lab is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.7k tokens (SKILL.md is roughly 11k 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 2.5k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Lab: Finishing a Development Branch (obra/superpowers, 296k stars), Code Review Checklist (shareAI-lab/learn-claude-code, 78k stars), Codebase Knowledge Graph Q&A (Egonex-AI/Understand-Anything, 86k stars) and Code Design Rationale Investigator (cursor/plugins, 10k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
hashgraph-online (a GitHub organization) maintains it in hashgraph-online/awesome-codex-plugins, which has 1,242 GitHub stars. The repository holds 686 skills in this directory. The repository was last updated on October 8, 2026.
Source: hashgraph-online/awesome-codex-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.