Light Project Structure
Light0305/Light-skills
Audits, scaffolds and safely migrates research project folder structures, keeping existing repositories read-only until you approve exact moves from a plan.
jujutsu (jj) command cheatsheet for this colocated jj+git Bioconductor repo.
$ npx skills add seandavi/GEOquery --skill jj-flow -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install seandavi/GEOquery jj-flow --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/seandavi/GEOquery.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/jj-flow .claude/skills/jj-flow && 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 "jj-flow" agent skill from https://github.com/seandavi/GEOquery/tree/devel/.claude/skills/jj-flow into .claude/skills/jj-flow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jj-flow", 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/seandavi/GEOquery/tree/devel/.claude/skills/jj-flowType 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 seandavi/GEOquery --skill jj-flow -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install seandavi/GEOquery jj-flow --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/seandavi/GEOquery.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/jj-flow .agents/skills/jj-flow && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "jj-flow" agent skill from https://github.com/seandavi/GEOquery/tree/devel/.claude/skills/jj-flow into .agents/skills/jj-flow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jj-flow", 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 seandavi/GEOquery --skill jj-flow -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install seandavi/GEOquery jj-flow --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/seandavi/GEOquery.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/jj-flow .cursor/skills/jj-flow && 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 "jj-flow" agent skill from https://github.com/seandavi/GEOquery/tree/devel/.claude/skills/jj-flow into .cursor/skills/jj-flow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jj-flow", 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/seandavi/GEOquery.git --path .claude/skills/jj-flow--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 seandavi/GEOquery --skill jj-flow -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install seandavi/GEOquery jj-flow --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/seandavi/GEOquery.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/jj-flow .gemini/skills/jj-flow && 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 "jj-flow" agent skill from https://github.com/seandavi/GEOquery/tree/devel/.claude/skills/jj-flow into .gemini/skills/jj-flow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jj-flow", 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 seandavi/GEOquery jj-flowInstalls 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 seandavi/GEOquery --skill jj-flow -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/seandavi/GEOquery.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/jj-flow .github/skills/jj-flow && 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 "jj-flow" agent skill from https://github.com/seandavi/GEOquery/tree/devel/.claude/skills/jj-flow into .github/skills/jj-flow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jj-flow", 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 seandavi/GEOquery --skill jj-flow -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install seandavi/GEOquery jj-flow --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/seandavi/GEOquery.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/jj-flow .opencode/skills/jj-flow && 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 "jj-flow" agent skill from https://github.com/seandavi/GEOquery/tree/devel/.claude/skills/jj-flow into .opencode/skills/jj-flow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jj-flow", 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.
jj-flowjujutsu (jj) command cheatsheet for this colocated jj+git Bioconductor repo.
Jj Flow is an agent skill from seandavi/GEOquery. jujutsu (jj) command cheatsheet for this colocated jj+git Bioconductor repo. Use when doing version-control work here — starting a change, committing, pushing a branch, opening a PR against devel, syncing, or when a git command is the reflex and the jj equivalent is wanted.
Its SKILL.md is about 980 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 Development, covering Git workflow and Bioinformatics. It works with Git and NCBI. The repository describes itself as: The bridge between the NCBI Gene Expression Omnibus and Bioconductor.
Read from SKILL.md and the folder at commit cb12423. 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:
gitghFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use git and 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.
Jj Flow loads about 981 tokens when it runs. Until then it costs about 71 tokens; SKILL.md has 474 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.
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 474 words (~981 tokens).
“This repo has both .jj/ and .git/. Every git command still works and the remote only ever sees plain git branches, so the Bioconductor workflow (branches pushed to origin, PRs merged into devel) is unchanged. jj just replaces the local…”
Just SKILL.md in .claude/skills/jj-flow of seandavi/GEOquery.
Open the folder on GitHubat commit cb12423
Jj Flow 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 |
|---|---|---|---|---|---|---|
| Jj Flow this skillseandavi/GEOquery | 118 | — | ~981 | Automated safety check: Pass | Custom licence | |
| Light Project StructureLight0305/Light-skills | 640 | — | ~3k | Automated safety check: Notes | MIT | |
| DataladK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~4.4k | Automated safety check: Notes | MIT | |
| Asksd0xdev/sd0x-harness | 192 | — | ~2.1k | Automated safety check: Notes | MIT | |
| Finishing a Development Branchobra/superpowers | 297k | 5 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Code Design Rationale Investigatorcursor/plugins | 10k | 9 repos | ~2.6k | Automated safety check: Pass | None |
Light0305/Light-skills
Audits, scaffolds and safely migrates research project folder structures, keeping existing repositories read-only until you approve exact moves from a plan.
K-Dense-AI/scientific-agent-skills
Retrieves, versions, and publishes scientific datasets with DataLad and git-annex, and captures computational provenance with datalad run, rerun, and containers-run.
sd0xdev/sd0x-harness
Context-aware Q&A with auto context gathering. An agent skill from sd0xdev/sd0x-harness.
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.
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.
HKUDS/OpenHarness
Merges external GitHub pull requests while keeping the original author credited, and fixes conflicts after the merge instead of rewriting the contribution.
Categories
jujutsu (jj) command cheatsheet for this colocated jj+git Bioconductor repo. Jj Flow is an agent skill from seandavi/GEOquery. jujutsu (jj) command cheatsheet for this colocated jj+git Bioconductor repo.
Jj Flow fits situations like: doing version-control work here — starting a change; pushing a branch; opening a PR against devel; A git command is the reflex and the jj equivalent is wanted.
Run `npx skills add seandavi/GEOquery --skill jj-flow -a claude-code`. Or copy the skill folder (.claude/skills/jj-flow in seandavi/GEOquery) into .claude/skills/jj-flow in your project. Claude Code loads it when a task matches its description.
Run `npx skills add seandavi/GEOquery --skill jj-flow -a codex`. Or copy the skill folder (.claude/skills/jj-flow in seandavi/GEOquery) into .agents/skills/jj-flow 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 seandavi/GEOquery --skill jj-flow -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/jj-flow, .gemini/skills/jj-flow, .github/skills/jj-flow and .opencode/skills/jj-flow in your project.
Going by SKILL.md and its folder, Jj Flow needs the command-line tools its instructions call (git and gh).
SKILL.md contains no URLs. Its commands use git and 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.
Jj Flow has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 981 tokens (SKILL.md is roughly 3.9k 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 Jj Flow: Light Project Structure (Light0305/Light-skills, 640 stars), Datalad (K-Dense-AI/scientific-agent-skills, 48k stars), Ask (sd0xdev/sd0x-harness, 192 stars) and Finishing a Development Branch (obra/superpowers, 297k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
seandavi (a GitHub user) maintains it in seandavi/GEOquery, which has 118 GitHub stars. The repository was last updated on August 17, 2026.
Source: seandavi/GEOquery on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.