Agent Orchestration Skill
OpenLoaf/OpenLoaf
Triggers when the master Agent faces a multi-step complex task and is deciding whether / how to outsource sub-tasks to built-in subagents (browser / doc-editor / data-analyst / extractor /…
Multi-agent pipeline orchestration skill. An agent skill from autopus-ai/autopus-adk.
$ npx skills add autopus-ai/autopus-adk --skill agent-pipeline -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install autopus-ai/autopus-adk agent-pipeline --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/autopus-ai/autopus-adk.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.omp/skills/agent-pipeline .claude/skills/agent-pipeline && 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 "agent-pipeline" agent skill from https://github.com/autopus-ai/autopus-adk/tree/main/.omp/skills/agent-pipeline into .claude/skills/agent-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-pipeline", 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/autopus-ai/autopus-adk/tree/main/.omp/skills/agent-pipelineType 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 autopus-ai/autopus-adk --skill agent-pipeline -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install autopus-ai/autopus-adk agent-pipeline --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/autopus-ai/autopus-adk.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.omp/skills/agent-pipeline .agents/skills/agent-pipeline && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "agent-pipeline" agent skill from https://github.com/autopus-ai/autopus-adk/tree/main/.omp/skills/agent-pipeline into .agents/skills/agent-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-pipeline", 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 autopus-ai/autopus-adk --skill agent-pipeline -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install autopus-ai/autopus-adk agent-pipeline --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/autopus-ai/autopus-adk.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.omp/skills/agent-pipeline .cursor/skills/agent-pipeline && 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 "agent-pipeline" agent skill from https://github.com/autopus-ai/autopus-adk/tree/main/.omp/skills/agent-pipeline into .cursor/skills/agent-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-pipeline", 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/autopus-ai/autopus-adk.git --path .omp/skills/agent-pipeline--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 autopus-ai/autopus-adk --skill agent-pipeline -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install autopus-ai/autopus-adk agent-pipeline --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/autopus-ai/autopus-adk.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.omp/skills/agent-pipeline .gemini/skills/agent-pipeline && 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 "agent-pipeline" agent skill from https://github.com/autopus-ai/autopus-adk/tree/main/.omp/skills/agent-pipeline into .gemini/skills/agent-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-pipeline", 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 autopus-ai/autopus-adk agent-pipelineInstalls 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 autopus-ai/autopus-adk --skill agent-pipeline -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/autopus-ai/autopus-adk.git skills-src && mkdir -p .github/skills && cp -r skills-src/.omp/skills/agent-pipeline .github/skills/agent-pipeline && 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 "agent-pipeline" agent skill from https://github.com/autopus-ai/autopus-adk/tree/main/.omp/skills/agent-pipeline into .github/skills/agent-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-pipeline", 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 autopus-ai/autopus-adk --skill agent-pipeline -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install autopus-ai/autopus-adk agent-pipeline --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/autopus-ai/autopus-adk.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.omp/skills/agent-pipeline .opencode/skills/agent-pipeline && 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 "agent-pipeline" agent skill from https://github.com/autopus-ai/autopus-adk/tree/main/.omp/skills/agent-pipeline into .opencode/skills/agent-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-pipeline", 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.
agent-pipelineMulti-agent pipeline orchestration skill. An agent skill from autopus-ai/autopus-adk.
Agent Pipeline is an agent skill from autopus-ai/autopus-adk. Multi-agent pipeline orchestration skill
Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including reference files (for example `references/completion.md`, `references/coordination.md` and `references/delegation.md`). Compatibility notes: omp
It sits in Agent Workflows, covering Data pipelines and ETL and Multi-agent orchestration. The repository describes itself as: Autopus-ADK is of the agents, by the agents. for the agents. Multi-model orchestration (consensus/pipeline/debate/fastest). Architecture-as-Code, Lore decision tracking… The licence is MIT.
Read from SKILL.md and the folder at commit a930e5f. 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.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
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.
omp
From compatibility in the SKILL.md frontmatter.
Agent Pipeline loads about 1.8k tokens when it runs, and up to ~16k if it reads all its reference files. Until then it costs about 14 tokens; SKILL.md has 937 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 autopus-ai/autopus-adk at commit a930e5f, republished under its MIT licence (© autopus-ai). 937 words, ~1,762 tokens.
.claude/skills/agent-pipeline/SKILL.md (or your agent's skills folder). This skill also uses 8 other files; get the full folder from GitHub.Use for /auto go SPEC-ID [--execution-owner omp|orca]. This entrypoint selects
work and context; open only the reference needed for the current step.
| Need | Open |
|---|---|
| Phase entry, work, and exit conditions | references/phases.md |
| Worker ownership and context isolation | references/delegation.md |
| Change classification and gate evidence | references/gates.md |
| Tests, smoke checks, and UX verification | references/verification.md |
| Review authority and termination | references/review.md |
| Completion and sync readiness | references/completion.md |
| Configured quality and permissions | references/quality-modes.md |
Work in the current session by default. Dispatch only genuinely independent slices, a necessary specialist review, or work that needs isolated context. File count and line count do not justify delegation. Keep dependent or same-file work sequential; one migration-numbering lane has one writer.
A verified low-risk compact change contract omits separate planning and test
scaffold dispatch: implementation still starts with the relevant failing test,
then validation and review run. Missing, ambiguous, or escalated authorization
keeps the full route. Report the actual route_phase_set from auto pipeline run, not an imagined phase checklist. Explicit --solo, --team, and
--multi requests must retain their requested semantics.
Choose exactly one DAG owner before any dispatch: --execution-owner omp|orca.
Omission selects omp. Reject duplicate, aliased, or conflicting owner flags;
never retry a failed explicitly selected owner as another owner.
omp: this session owns progress through native task, hub, and
todo. --solo keeps work in this session; --team requests a native batch
with explicit responsibilities. The two flags conflict.orca: only an explicit --execution-owner orca selects it. First run
and read orca skills get orchestration --full; the Orca Run owns the DAG.
Do not create a competing OMP task or progress DAG. --team and --solo
conflict with this owner.--multi requests risk-tiered provider-diverse evidence, not a second DAG.auto pipeline run SPEC-ID --platform omp --execution-owner orca performs the
integrity check and records pipeline_execution_owner_receipt.v1 before any
worker session. The body-free .autopus/pipeline-state/<SPEC-ID>.execution-owner.json
records owner, source, identity, and verification status.
Before dispatch, inspect the tools actually exposed by this runtime. Use their current schemas rather than copying static payloads. If the selected topology requires an unavailable tool, report that blocker; never simulate dispatch.
OMP registers five agents: scout, reviewer, security-reviewer, task,
and sonic. There is no Autopus-specific agent to select, so pick by what the
work needs:
task runs planning, implementation, debugging, test authoring, and UX work.
It is the default for every writing slice; omitting the agent selects it.scout is read-only exploration only. Never give it work that writes.reviewer and security-reviewer keep their built-in review boundaries; use
them for review and security findings, not for implementation.sonic is only for an explicit mechanical request. Never route reasoning,
planning, validation, or review to it.The role a worker plays belongs in its assignment text, not in an agent name. State the responsibility, scope, and exit condition in the task itself.
Batch independent owned slices together. Native OMP owns isolated worktree
creation, integration, and cleanup. Request isolation only if the current
task schema exposes it; do not manually merge or remove its worktrees.
Each worker receives scope, forbidden paths, acceptance criteria, and only its
needed context. Request the five-field result contract: owned_paths,
changed_files, verification, blockers, next_required_step. Use native
schema validation where supported; worker assertions are not execution proof.
Record actual dispatch count and the native agents used. Follow up with the
same revivable worker through hub; an isolated worker whose workspace has
been released needs a new assignment. Only the parent owns todo.
A worker that stops at its turn limit returns a partial result; the turn-budget
rule every assignment carries (references/delegation.md, Worker hygiene)
keeps that rare. Never treat a partial result as a completed phase or feed it to
the next phase. Follow up once with a narrowed instruction (finish and write the
artifact, minimal further exploration), through hub or as a new assignment as
above; if that run is partial again, stop and hand the phase to the user with
what was produced.
Keep required core/SPEC bodies complete and hash-verified. Ordinary
auto workflow context includes optional architecture only when explicitly
selected. The managed OMP evidence path independently rebuilds its canonical
full context: do not substitute a smaller CLI manifest, alter its signed
protocol, or promote an unmeasured compaction result.
Give workers task deltas and retrievable references instead of replaying raw provider/tool output. Validate paths and hashes; reject missing required context, traversal, symlinks, stale or wrong-SPEC input before dispatch. Use native context management rather than layering an extra summarization loop.
Inherit the current OMP session model and thinking configuration unless an
explicit validated role-model profile has written task.agentModelOverrides
for the native agent being dispatched. That configuration is the only model
authority: never pass a guessed model ID, and never pick a cheaper agent to
fit a larger task.
Use auto spec gates for applicability and exact-input evidence reuse.
Security, validation, data-loss, and deterministic-oracle gates remain active;
UI changes retain accessibility and UX verification. Annotation is opt-in via
--annotation or a direct request, not an automatic extra worker phase.
Honor explicit project/route numerical gates; do not invent universal floors.
Integrate changes before the merged verification run. Keep a verdict and real evidence per acceptance criterion. Failed tests or security findings cannot be overruled by provider consensus. Re-review only changed/open findings; unchanged input is not a reason to repeat discovery. Respect the existing retry limits.
Finish only after the changed path has run, required acceptance is satisfied,
and blocking findings are closed. Use references/completion.md for the sync
receipt. Status combines project/SPEC state with the selected owner's native
job state; external commands must not inspect user-owned OMP session roots or
claim they replace native hub observations.
© autopus-ai, MIT. 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 8 other files (references) in .omp/skills/agent-pipeline of autopus-ai/autopus-adk.
Open the folder on GitHubat commit a930e5f
Agent Pipeline 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 |
|---|---|---|---|---|---|---|
| Agent Pipeline this skillautopus-ai/autopus-adk | 110 | — | ~1.8k | Automated safety check: Pass | MIT | |
| Agent Orchestration SkillOpenLoaf/OpenLoaf | 108 | — | ~1.9k | Automated safety check: Pass | AGPL-3.0 | |
| Agent Orchestration SkillOpenLoaf/OpenLoaf | 108 | — | ~919 | Automated safety check: Pass | AGPL-3.0 | |
| Configuring Dbt MCP ServerKilo-Org/kilo-marketplace | 190 | — | ~2.5k | Automated safety check: Notes | Apache-2.0 | |
| Qwen Delegationathola/claude-night-market | 341 | — | ~1.1k | Automated safety check: Pass | MIT | |
| Orca CLIstablyai/orca | 89k | 2 repos | ~593 | Automated safety check: Pass | MIT |
OpenLoaf/OpenLoaf
Triggers when the master Agent faces a multi-step complex task and is deciding whether / how to outsource sub-tasks to built-in subagents (browser / doc-editor / data-analyst / extractor /…
OpenLoaf/OpenLoaf
当主 Agent 面临多步骤复杂任务并正在判断要不要 / 怎样把子任务外包给内置子代理(browser / doc-editor / data-analyst / extractor / canvas-designer / coder 等)时触发。不用于:单步问答 / 读取 / 简单副作用(主 Agent 直接做)、已经明确要用 Agent 且知道 subagenttype 的场景。
Kilo-Org/kilo-marketplace
Generates MCP server configuration JSON, resolves authentication setup, and validates server connectivity for dbt.
athola/claude-night-market
Delegates tasks to Qwen CLI via delegation-core for Alibaba's models.
stablyai/orca
Operate Orca-managed worktrees, folder contexts, terminals, repos, automations, artifacts, skill sharing, worktree comments, and Orca's embedded browser…
getpaseo/paseo
Launches one separate agent through Paseo to give a second opinion on the current task, with a self-contained briefing and no permission to edit files.
autopus-ai/autopus-adk
아이디어 브레인스토밍 — 멀티 프로바이더 토론과 ICE 평가로 아이디어를 정리합니다. An agent skill from autopus-ai/autopus-adk.
autopus-ai/autopus-adk
QAMESH project QA mesh — plan, run, report, and publish deterministic QA evidence
autopus-ai/autopus-adk
프로젝트 컨텍스트 생성 — 코드베이스를 분석하고 ARCHITECTURE.md 및 .autopus/project 문서를 생성합니다
autopus-ai/autopus-adk
문서 동기화 — 구현 이후 SPEC, CHANGELOG, 문서를 반영합니다. An agent skill from autopus-ai/autopus-adk.
autopus-ai/autopus-adk
@AX code annotation workflow skill for agent-driven tag application
autopus-ai/autopus-adk
터미널 환경 자동 감지 브라우저 자동화 스킬 — AI 에이전트가 직접 웹 페이지를 조작하고 검증. An agent skill from autopus-ai/autopus-adk.
Categories
Multi-agent pipeline orchestration skill. An agent skill from autopus-ai/autopus-adk. Agent Pipeline is an agent skill from autopus-ai/autopus-adk.
Agent Pipeline fits situations like: tasks that involve Data pipelines and ETL; tasks that involve Multi-agent orchestration.
Run `npx skills add autopus-ai/autopus-adk --skill agent-pipeline -a claude-code`. Or copy the skill folder (.omp/skills/agent-pipeline in autopus-ai/autopus-adk) into .claude/skills/agent-pipeline in your project. Claude Code loads it when a task matches its description.
Run `npx skills add autopus-ai/autopus-adk --skill agent-pipeline -a codex`. Or copy the skill folder (.omp/skills/agent-pipeline in autopus-ai/autopus-adk) into .agents/skills/agent-pipeline 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 autopus-ai/autopus-adk --skill agent-pipeline -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agent-pipeline, .gemini/skills/agent-pipeline, .github/skills/agent-pipeline and .opencode/skills/agent-pipeline in your project.
SKILL.md names no scripts, command-line tools or credentials: Agent Pipeline is instructions for the agent only. Compatibility (from SKILL.md): omp.
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.
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.
Agent Pipeline is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.8k tokens (SKILL.md is roughly 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 14k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Agent Pipeline: Agent Orchestration Skill (OpenLoaf/OpenLoaf, 108 stars), Agent Orchestration Skill (OpenLoaf/OpenLoaf, 108 stars), Configuring Dbt MCP Server (Kilo-Org/kilo-marketplace, 190 stars) and Qwen Delegation (athola/claude-night-market, 341 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
autopus-ai (a GitHub organization) maintains it in autopus-ai/autopus-adk, which has 110 GitHub stars. The repository holds 11 skills in this directory. The repository was last updated on October 10, 2026.
Source: autopus-ai/autopus-adk on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.