MemPalace Task Handoff
MemPalace/mempalace
Creates, hands off, claims, executes and closes agent tasks through the MemPalace logstream, with approval of the exact task before it is recorded.
Drives dependency-ordered multi-agent work through the workflow tool, one run per phase, with planning rules and retry, amend and send recovery.
Install Mass-ULW Workflow Runs
$ npx skills add code-yeongyu/oh-my-openagent --skill mass-ulw -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install code-yeongyu/oh-my-openagent mass-ulw --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/mass-ulw .claude/skills/mass-ulw && 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 "mass-ulw" agent skill from https://github.com/code-yeongyu/oh-my-openagent/tree/dev/packages/omo-senpi/skills/mass-ulw into .claude/skills/mass-ulw/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mass-ulw", 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/mass-ulwType 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 mass-ulw -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install code-yeongyu/oh-my-openagent mass-ulw --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/mass-ulw .agents/skills/mass-ulw && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "mass-ulw" agent skill from https://github.com/code-yeongyu/oh-my-openagent/tree/dev/packages/omo-senpi/skills/mass-ulw into .agents/skills/mass-ulw/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mass-ulw", 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 mass-ulw -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install code-yeongyu/oh-my-openagent mass-ulw --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/mass-ulw .cursor/skills/mass-ulw && 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 "mass-ulw" agent skill from https://github.com/code-yeongyu/oh-my-openagent/tree/dev/packages/omo-senpi/skills/mass-ulw into .cursor/skills/mass-ulw/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mass-ulw", 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/mass-ulw--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 mass-ulw -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install code-yeongyu/oh-my-openagent mass-ulw --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/mass-ulw .gemini/skills/mass-ulw && 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 "mass-ulw" agent skill from https://github.com/code-yeongyu/oh-my-openagent/tree/dev/packages/omo-senpi/skills/mass-ulw into .gemini/skills/mass-ulw/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mass-ulw", 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 mass-ulwInstalls 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 mass-ulw -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/mass-ulw .github/skills/mass-ulw && 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 "mass-ulw" agent skill from https://github.com/code-yeongyu/oh-my-openagent/tree/dev/packages/omo-senpi/skills/mass-ulw into .github/skills/mass-ulw/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mass-ulw", 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 mass-ulw -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 mass-ulw --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/mass-ulw .opencode/skills/mass-ulw && 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 "mass-ulw" agent skill from https://github.com/code-yeongyu/oh-my-openagent/tree/dev/packages/omo-senpi/skills/mass-ulw into .opencode/skills/mass-ulw/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mass-ulw", 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
mass-ulw- GitHub stars
- 70k
- Token cost
- ~2.4k tokens
- SKILL.md length
- 1,215 words
- Files
- 2 (incl. references)
- Skills in repo
- 45
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Drives dependency-ordered multi-agent work through the workflow tool, one run per phase, with planning rules and retry, amend and send recovery.
- Fanning out work where some tasks depend on the results of others
- SKILL.md covers Planning - MANDATORY first step, The shape, Goal before start and Running a dag - eval is the…, plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Defining a task graph for one phase of a larger multi-agent job
What it does
The skill is for jobs where some tasks must wait on others, such as a task needing two earlier ones to finish. A run covers a single phase of dependency-ordered lanes and never a whole multi-phase job; the next phase becomes a new run, or an amend when only the definition changed. Fully independent workers are simpler with plain parallel task spawns. Under the ulw-loop or ulw-execute skills, those own the goal and evidence, and this one owns how each phase's run is defined, driven and recovered.
Reading `references/planning.md` in full is a mandatory first step before any graph is defined. A run has a stable key for idempotency, a name and nodes, each with an id, a self-contained English prompt, a category that routes it to a kind of worker and an optional `dependsOn` list. Dependencies set order only, so no upstream output is substituted into later prompts. Nodes run in parallel waves as dependencies clear. The excerpt is cut off at the goal-before-start section.
When your agent uses it
- Fanning out work where some tasks depend on the results of others
- Defining a task graph for one phase of a larger multi-agent job
- Recovering a failed workflow run with retry, amend or send
Example prompts
- “Use mass-ulw to run the schema migration, API changes and tests as a dependency graph.”
- “Define the second phase as a new run and amend the node prompts that changed.”
- “Plan a DAG where the docs update waits on both the backend and frontend tasks.”
Requirements
- An agent harness with the native workflow tool
What it can do on your machine
Read from SKILL.md and the folder at commit ab81169. 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 javascript).
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
Mass-ULW Workflow Runs loads about 2.4k tokens when it runs, and up to ~8.2k if it reads all its reference files. Until then it costs about 59 tokens; SKILL.md has 1,215 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 1,215 words (~2,425 tokens).
“Use this skill when the user asks for mass-ulw, a task DAG, staged fan-out, or any multi-agent job where real dependencies exist: task C needs A and B finished first. For fully independent workers, plain parallel task spawns are simpler…”
- name
- mass-ulw
- argument-hint
- <task>
- metadata.short-description
- Dependency-graph orchestration of child agents
Files
SKILL.md and 1 other file (references) in packages/omo-senpi/skills/mass-ulw of code-yeongyu/oh-my-openagent.
- SKILL.md
- references/planning.md
Open the folder on GitHubat commit ab81169
Compare with similar skills
Mass-ULW Workflow Runs 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 |
|---|---|---|---|---|---|---|
| Mass-ULW Workflow Runs this skillcode-yeongyu/oh-my-openagent | 70k | — | ~2.4k | Automated safety check: Pass | Custom licence | |
| MemPalace Task HandoffMemPalace/mempalace | 59k | — | ~1.9k | Automated safety check: Pass | MIT | |
| agtx One-Shot Project Runnerfynnfluegge/agtx | 1.7k | — | ~3.8k | Automated safety check: Pass | Apache-2.0 | |
| Agtx Task Sweepfynnfluegge/agtx | 1.7k | — | ~1.7k | Automated safety check: Pass | Apache-2.0 | |
| Multi-Agent Coordination Templatebybren-llc/safe-agentic-workflow | 421 | — | ~1.2k | Automated safety check: Pass | MIT | |
| AK Plansaltbo/agent-kanban | 486 | — | ~903 | Automated safety check: Pass | Custom licence |
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Related
Categories
Questions about Mass-ULW Workflow Runs
What does Mass-ULW Workflow Runs do?
Drives dependency-ordered multi-agent work through the workflow tool, one run per phase, with planning rules and retry, amend and send recovery. The skill is for jobs where some tasks must wait on others, such as a task needing two earlier ones to finish. A run covers a single phase of dependency-ordered lanes and never a whole multi-phase job; the next phase becomes a new run, or an amend when only the definition changed.
When should I use Mass-ULW Workflow Runs?
Mass-ULW Workflow Runs fits situations like: fanning out work where some tasks depend on the results of others; defining a task graph for one phase of a larger multi-agent job; recovering a failed workflow run with retry, amend or send.
How do I install Mass-ULW Workflow Runs in Claude Code?
Run `npx skills add code-yeongyu/oh-my-openagent --skill mass-ulw -a claude-code`. Or copy the skill folder (packages/omo-senpi/skills/mass-ulw in code-yeongyu/oh-my-openagent) into .claude/skills/mass-ulw in your project. Claude Code loads it when a task matches its description.
How do I install Mass-ULW Workflow Runs in Codex?
Run `npx skills add code-yeongyu/oh-my-openagent --skill mass-ulw -a codex`. Or copy the skill folder (packages/omo-senpi/skills/mass-ulw in code-yeongyu/oh-my-openagent) into .agents/skills/mass-ulw in your project. Codex loads it when a task matches its description.
Can I use Mass-ULW Workflow Runs 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 mass-ulw -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/mass-ulw, .gemini/skills/mass-ulw, .github/skills/mass-ulw and .opencode/skills/mass-ulw in your project.
What does Mass-ULW Workflow Runs need to run?
SKILL.md names no scripts, command-line tools or credentials: Mass-ULW Workflow Runs is instructions for the agent only. Our summary lists: An agent harness with the native workflow tool.
Does Mass-ULW Workflow Runs 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 Mass-ULW Workflow Runs 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 Mass-ULW Workflow Runs use?
Mass-ULW Workflow Runs 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 Mass-ULW Workflow Runs use?
About 2.4k tokens (SKILL.md is roughly 9.7k 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 5.8k tokens, read only when the agent opens those files.
What are the alternatives to Mass-ULW Workflow Runs?
Skills that share tags, products or a category with Mass-ULW Workflow Runs: MemPalace Task Handoff (MemPalace/mempalace, 59k stars), agtx One-Shot Project Runner (fynnfluegge/agtx, 1.7k stars), Agtx Task Sweep (fynnfluegge/agtx, 1.7k stars) and Multi-Agent Coordination Template (bybren-llc/safe-agentic-workflow, 421 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Mass-ULW Workflow Runs?
code-yeongyu (a GitHub user) maintains it in code-yeongyu/oh-my-openagent, which has 69,882 GitHub stars. The repository holds 45 skills in this directory. The repository was last updated on October 8, 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.