Paseo Agent Orchestration Reference
getpaseo/paseo
Reference for managing Paseo's projects, workspaces, workspace scripts and agents through its MCP tools or CLI, across a local or remote daemon.
Stores a DAG definition once and re-runs it by name, with key rotation controlling whether each run is fresh or reuses an earlier result.
Install DAG Library
$ npx skills add code-yeongyu/oh-my-openagent --skill dag-library -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install code-yeongyu/oh-my-openagent dag-library --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/code-yeongyu/oh-my-openagent.git skills-src && mkdir -p .claude/skills && cp -r skills-src/packages/omo-senpi/skills/dag-library .claude/skills/dag-library && 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 "dag-library" agent skill from https://github.com/code-yeongyu/oh-my-openagent/tree/dev/packages/omo-senpi/skills/dag-library into .claude/skills/dag-library/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dag-library", 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/code-yeongyu/oh-my-openagent/tree/dev/packages/omo-senpi/skills/dag-libraryType 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 code-yeongyu/oh-my-openagent --skill dag-library -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install code-yeongyu/oh-my-openagent dag-library --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/code-yeongyu/oh-my-openagent.git skills-src && mkdir -p .agents/skills && cp -r skills-src/packages/omo-senpi/skills/dag-library .agents/skills/dag-library && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "dag-library" agent skill from https://github.com/code-yeongyu/oh-my-openagent/tree/dev/packages/omo-senpi/skills/dag-library into .agents/skills/dag-library/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dag-library", 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 code-yeongyu/oh-my-openagent --skill dag-library -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install code-yeongyu/oh-my-openagent dag-library --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/code-yeongyu/oh-my-openagent.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/packages/omo-senpi/skills/dag-library .cursor/skills/dag-library && 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 "dag-library" agent skill from https://github.com/code-yeongyu/oh-my-openagent/tree/dev/packages/omo-senpi/skills/dag-library into .cursor/skills/dag-library/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dag-library", 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/code-yeongyu/oh-my-openagent.git --path packages/omo-senpi/skills/dag-library--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 code-yeongyu/oh-my-openagent --skill dag-library -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install code-yeongyu/oh-my-openagent dag-library --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/code-yeongyu/oh-my-openagent.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/packages/omo-senpi/skills/dag-library .gemini/skills/dag-library && 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 "dag-library" agent skill from https://github.com/code-yeongyu/oh-my-openagent/tree/dev/packages/omo-senpi/skills/dag-library into .gemini/skills/dag-library/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dag-library", 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 code-yeongyu/oh-my-openagent dag-libraryInstalls 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 code-yeongyu/oh-my-openagent --skill dag-library -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/code-yeongyu/oh-my-openagent.git skills-src && mkdir -p .github/skills && cp -r skills-src/packages/omo-senpi/skills/dag-library .github/skills/dag-library && 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 "dag-library" agent skill from https://github.com/code-yeongyu/oh-my-openagent/tree/dev/packages/omo-senpi/skills/dag-library into .github/skills/dag-library/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dag-library", 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 code-yeongyu/oh-my-openagent --skill dag-library -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install code-yeongyu/oh-my-openagent dag-library --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/code-yeongyu/oh-my-openagent.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/packages/omo-senpi/skills/dag-library .opencode/skills/dag-library && 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 "dag-library" agent skill from https://github.com/code-yeongyu/oh-my-openagent/tree/dev/packages/omo-senpi/skills/dag-library into .opencode/skills/dag-library/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dag-library", 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
dag-library- GitHub stars
- 70k
- Token cost
- ~1.1k tokens
- SKILL.md length
- 408 words
- Files
- 1
- Skills in repo
- 44
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Stores a DAG definition once and re-runs it by name, with key rotation controlling whether each run is fresh or reuses an earlier result.
- Works in 3 steps: $OMO_DAG_LIBRARY (multiple dirs,… → $PWD/.omo/dags → $HOME/.omo/dags
- Saving a DAG definition so it can be run again by name
- SKILL.md covers The shape, Running it — JS eval cell, two…, Key rotation — the one rule… and Python cells, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
A DAG definition is stored once and re-run by name instead of being pasted into every run, which suits graphs worth keeping, such as a multi-agent graph scheduled repeatedly. A stored definition is a plain JSON file named after the graph in a library folder, found through the OMO_DAG_LIBRARY variable first, then .omo/dags in the working directory, then .omo/dags in the home directory.
Runs go through a library.js module: load returns the filled definition and start loads and starts it in one call, returning a handle with the run id, a done method and cancel. Because the engine reuses a run when the same key and graph repeat, the library rotates the stored key with a timestamp suffix on each start, so every call is fresh. An explicit suffix makes reruns idempotent for that suffix, an empty suffix keeps full idempotency, and string values accept key and date placeholders filled at load time. Authoring a new graph is left to the mass-ulw skill.
When your agent uses it
- Saving a DAG definition so it can be run again by name
- Running a stored multi-agent graph without re-pasting it
- Scheduling the same graph on a recurring basis
- Controlling whether a rerun reuses an earlier result or starts fresh
Example prompts
- “Save this DAG as nightly-audit so I can rerun it later.”
- “Run the saved nightly-audit graph as a fresh run.”
- “Rerun yesterday's report graph with a date suffix so it reuses the existing run.”
Requirements
- The OmO DAG extension that publishes library.js
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- $OMO_DAG_LIBRARY (multiple dirs, separated by : — or by ; on Windows, so drive-letter paths survive)
- $PWD/.omo/dags
- $HOME/.omo/dags
What it can do on your machine
Read from SKILL.md and the folder at commit cbd7dd2. 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
No scripts in the folder and no shell commands in SKILL.md (its code samples are json, javascript and python).
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
DAG Library loads about 1.1k tokens when it runs. Until then it costs about 55 tokens; SKILL.md has 408 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
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 408 words (~1,063 tokens).
“Use this skill when the user wants to KEEP a dag definition and run it again later — the graph is an asset, not a one-off. For authoring a brand-new graph, read mass-ulw first; this skill covers the storage-and-rerun half.”
- name
- dag-library
- metadata.short-description
- Store and re-run named dag definitions
Files
Just SKILL.md in packages/omo-senpi/skills/dag-library of code-yeongyu/oh-my-openagent.
Open the folder on GitHubat commit cbd7dd2
Compare with similar skills
DAG Library 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 |
|---|---|---|---|---|---|---|
| DAG Library this skillcode-yeongyu/oh-my-openagent | 70k | — | ~1.1k | Automated safety check: Pass | Custom licence | |
| Paseo Agent Orchestration Referencegetpaseo/paseo | 20k | — | ~2.1k | Automated safety check: Pass | Custom licence | |
| MetaBot CLIxvirobotics/metabot | 990 | — | ~573 | Automated safety check: Pass | MIT | |
| Agent Kanban Maintainersaltbo/agent-kanban | 485 | — | ~1.6k | Automated safety check: Pass | Custom licence | |
| Orca CLIstablyai/orca | 87k | 2 repos | ~593 | Automated safety check: Pass | MIT | |
| Paseo Advisor Second Opiniongetpaseo/paseo | 20k | 1 repos | ~756 | Automated safety check: Pass | Custom licence |
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Splits a change into planner, coder and independent reviewer roles: you confirm a spec, a subagent implements it, and a separate reviewer checks each round's local WIP commit.
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Related
Categories
Questions about DAG Library
What does DAG Library do?
Stores a DAG definition once and re-runs it by name, with key rotation controlling whether each run is fresh or reuses an earlier result. A DAG definition is stored once and re-run by name instead of being pasted into every run, which suits graphs worth keeping, such as a multi-agent graph scheduled repeatedly.omo/dags in the home directory.
When should I use DAG Library?
DAG Library fits situations like: saving a DAG definition so it can be run again by name; running a stored multi-agent graph without re-pasting it; scheduling the same graph on a recurring basis; controlling whether a rerun reuses an earlier result or starts fresh.
How do I install DAG Library in Claude Code?
Run `npx skills add code-yeongyu/oh-my-openagent --skill dag-library -a claude-code`. Or copy the skill folder (packages/omo-senpi/skills/dag-library in code-yeongyu/oh-my-openagent) into .claude/skills/dag-library in your project. Claude Code loads it when a task matches its description.
How do I install DAG Library in Codex?
Run `npx skills add code-yeongyu/oh-my-openagent --skill dag-library -a codex`. Or copy the skill folder (packages/omo-senpi/skills/dag-library in code-yeongyu/oh-my-openagent) into .agents/skills/dag-library in your project. Codex loads it when a task matches its description.
Can I use DAG Library 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 code-yeongyu/oh-my-openagent --skill dag-library -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/dag-library, .gemini/skills/dag-library, .github/skills/dag-library and .opencode/skills/dag-library in your project.
What does DAG Library need to run?
SKILL.md names no scripts, command-line tools or credentials: DAG Library is instructions for the agent only. Our summary lists: The OmO DAG extension that publishes library.js.
Does DAG Library 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 DAG Library 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 DAG Library use?
DAG Library has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does DAG Library use?
About 1.1k tokens (SKILL.md is roughly 4.3k 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 DAG Library?
Skills that share tags, products or a category with DAG Library: Paseo Agent Orchestration Reference (getpaseo/paseo, 20k stars), MetaBot CLI (xvirobotics/metabot, 990 stars), Agent Kanban Maintainer (saltbo/agent-kanban, 485 stars) and Orca CLI (stablyai/orca, 87k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains DAG Library?
code-yeongyu (a GitHub user) maintains it in code-yeongyu/oh-my-openagent, which has 69,850 GitHub stars. The repository holds 44 skills in this directory. The repository was last updated on October 7, 2026.
Source: code-yeongyu/oh-my-openagent on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.