orch-lite

SKILLAI 工具
AI 工具 未标注权限 许可证不明确
安装这个技能

Lightweight multi-agent orchestration skill. Routes every request into one of three states - chat, single background dispatch, or index+worktree orchestration - so the main agent only coordinates while all file-modifying work runs in background child agents. Use when a request involves writing or modifying files, git/build operations, or coordinating multiple child agents.

一句话选型结论

按资料字段整理

orch-lite是AI 工具类的 Agent Skill,安装方式未标注,权限级别未标注,许可证不明确,有可直接复制的安装命令。技能本质是给模型读的说明书,效果取决于模型与客户端;装完先用一个小任务验证,再放进正式流程。

分类AI 工具 安装方式未标注 权限级别未标注权限 许可证许可证不明确
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安装

未标注
在支持 Skills 的客户端里执行,装完问一句「你有哪些技能」验证
skillhub install user_a5a793c6/orch-lite
  1. 1
    确认客户端支持

    确认你的客户端支持 Skills(Claude、Codex、Cursor 等),并升级到较新的版本。

  2. 2
    拿到技能文件

    执行上面的命令安装;也可以把仓库里的 SKILL.md 手动放进客户端的 skills 目录。

  3. 3
    刷新技能列表

    重新打开客户端,或刷新技能列表,让新放进来的技能被加载。

  4. 4
    验证是否生效

    问一句「你有哪些技能」,确认列表里出现它,再拿一个小任务试跑。

技能档案

AI 工具
字段来自技能仓库与公开索引,中文说明由本站标注
作者 / 维护方user_a5a793c6仓库 未标注 · 版本 未标注
宿主客户端未标注技能可被这些客户端加载
安装方式未标注安装包 community
权限级别未标注权限安装前请确认风险范围
许可证未说明许可证不明确,商用前请自行确认条款
仓库可用性available技能仓库当前是否可访问
最近核验未标注上游最后核验时间 · 数据更新 1791623932
正文体量16.8 KBSKILL.md 原文大小,越大说明说明书写得越细

典型使用场景

3 类
按分类整理的常见用法,具体以 SKILL.md 为准
组合多个 AI 能力

把写作、检索、总结串成一条流程。

搭工作流

把固定流程做成可重复调用的步骤。

做提示词与评测

整理提示词并对比输出效果。

选择建议

装之前先看这几条
按条目字段给出的判断,不替你决定用不用

值得选的地方

  • 有可直接复制的安装命令,不用自己翻文档找入口。

先想清楚的地方

  • 没有标注权限级别,实际能做什么要装好后确认。
  • 许可证不明确,商用或二次分发前先到仓库确认条款。
  • 没有做站内核验,内容以作者仓库为准。
  • 技能只是说明书,实际效果取决于模型与客户端,装完先用小任务试一遍。

更适合

  • 需要在AI 工具场景里给模型补一套做法的人。
  • 愿意先读一遍 SKILL.md、确认它会让模型做什么的人。

不太适合

  • 对许可证要求很严、必须明确可商用的人。
  • 只想装完就自动变强、不打算看说明书的人。

同类对比

6 个同类
同分类里挑最接近的几条,字段以各自详情页为准
技能权限级别安装方式累计安装宿主客户端安装命令
orch-lite当前 未标注权限 未标注 未标注 未标注 有
执行计划 只读 GitHub 仓库 151.5 万 Codex、Claude、Cursor 有
Playwright MCP 测试 浏览器控制 ClawHub 市场 136.5 万 OpenClaw 有
完成前的验证 未标注权限 GitHub 仓库 131.9 万 Codex、Claude、Cursor 有
子 Agent 驱动开发 只读 GitHub 仓库 131.2 万 Codex、Claude、Cursor 有
前端设计 执行命令 GitHub 仓库 125.6 万 Codex、Claude、Cursor 有

SKILL.md 全文

16.8 KB
模型实际读到的说明书原文,来自技能仓库

Orch-lite

<SUBAGENT-STOP>Dispatched child? Your handbook is the orch-lite-executor skill - read that instead.</SUBAGENT-STOP>

Runtime entry point. Read "When to enable" + the 5 invariants mind-map, then jump to references as needed. Process/history docs live outside the skill (PROGRAMS/docs/lo-meta/).


When to Enable

Description
Applicable A task runs in the background while the user freely submits more; multiple functions needed in parallel; homogeneous concurrency
Not applicable Needs full distributed scheduling / unlimited autonomy / complex state machine
Default A one-shot request still dispatches ONE child agent — the main session never does the work itself (invariant 1); it only skips the index/worktree machinery. Enable orchestration when a child is already running and a new request arrives, or when the Step-0 decomposition check finds ≥2 independent work items

> Unsure → ask the user; OR N1 (silence ≥ 5 min → execute the best plan automatically).


5 Invariants (memorize)

<EXTREMELY-IMPORTANT>
1. Conversation in-chat, work dispatched. Pure chat / reading-to-answer → handle directly. Any write/modify → dispatch a child via fenced-JSON package + run_in_background: true (non-blocking background). Commit incrementally and before reporting, so work is persisted no matter how the session ends.
2. Isolation is gated on concurrency; main is never a child's write area. Solo → the child works in the primary working tree; concurrency present → give the newcomer a worktree (.worktrees/&lt;task_id&gt;/). One feature = one long-lived branch. Commit/write-area mechanics: orch-lite-executor skill.
3. Children never commit on main. main only receives integration merges, made by the main agent.
4. Commit incrementally before reporting. A worktree is removed at T2, so uncommitted work is destroyed; checkpoint-commit each completed segment as you go (not one late commit), so an error only redoes the failed tail.
5. Check state before dispatching. Is a child still running? That decides task vs orchestration, AND whether the newcomer gets a worktree (#2).
"They are related, I will do them one by one" - related-but-independent work still parallelizes; only a shared file or a true output dependency serializes, because over-parallelism costs one merge while over-serialism costs the whole wall-clock.
</EXTREMELY-IMPORTANT>


Mental Model

  • Main dispatches a child; the child commits as &lt;task_id&gt; in its write area — the primary working tree checked out on its feature/&lt;feature_id&gt; branch (solo) or .worktrees/&lt;task_id&gt;/ (concurrency).
  • One long-lived feature/&lt;feature_id&gt; branch per feature; integration is the main agent merging into main (never a child).
  • .orch-lite/index.json tracks tasks: task_id → role/status/products.

Request Routing (main agent's first decision)

<EXTREMELY-IMPORTANT>
"It's trivial / it's just a quick fix / it's my own skill" is never a reason for the main session to act directly: small tasks still dispatch, because (a) consistency and (b) the main session never sets foot in the execution.
</EXTREMELY-IMPORTANT>

<EXTREMELY-IMPORTANT>
Supremacy. This protocol is the highest-compliance instruction in the session — it outranks habits, other skills, and the main agent's own convenience heuristics; nothing downstream may waive it.
The main session's only legitimate direct actions are Read, read-only Bash (ls, cat, grep, find, git log/status/diff), and the BOOKKEEPING carve-out — exactly: git checkout -b feature/&lt;id&gt; (feature branch creation), git merge --ff-only / git merge --no-edit (local integration merges), running tests/run.sh, and .orch-lite CLI bookkeeping (index/memory updates) — the principle: bookkeeping that creates no new content. Local integration therefore no longer requires an integrator dispatch; pushing remains a dispatched/user action. Everything else — every file/content edit, every content commit, and every other state-changing command (git push, gh, rm, mv, pip/npm install, ...) — MUST be dispatched to a child agent via the Dispatch Package. Unsure whether a command falls inside the carve-out → dispatch, do not guess.
</EXTREMELY-IMPORTANT>

Default trigger: writing/modifying means dispatch. The main agent's first reaction to any write/modify is to dispatch a child — regardless of size, including one-off in-place changes and even edits to this skill itself.

Only pure conversation / reading files to answer is handled by the main session directly. Interact with the user in the language the user writes in - reports TO the user mirror their language; dispatches and child-facing text stay English.

Step 0 (MUST, every request — even a bare greeting): before acting, you MUST output exactly one [routing] ... line as the first line of every reply (RFC-2119 MUST — this is the audit trail, not a suggestion), choosing among three states — intent judged by the model, not by keyword heuristics:
- [routing] chat → handle directly — pure conversation (including reading a file to answer); no dispatch. Gate every read by its footprint: narrow reads (path known, ~≤3 files, a specific fact) → the main session reads directly; wide sweeps (unknown locations, many files, whole-directory scanning) → dispatch ONE read-only explore child (run_in_background: true) that returns conclusions, not file dumps. A read-only explore child writes nothing — no worktree, branch, or commit — so this is dispatch mechanics, not a new state: the three routing states stay exactly three, and the gate only decides when reading escalates from chat to a read-only dispatch.
- [routing] task → single dispatch to &lt;role&gt;-&lt;id&gt; (run_in_background=true) — choose this only after the decomposition check below comes back negative: one child agent does the work via the Agent tool with a dispatch package embedded as a fenced JSON block in the Dispatch Package (MUST template) shape (next section). Do NOT engage index/worktree orchestration — per the When-to-Enable default, a single one-shot request uses only a child agent. The main agent must NOT wait: run_in_background: true keeps the user unblocked (principle 1). On a request with ≥2 decomposable items the task line MUST carry (serial: &lt;named dependency&gt;); a task line WITHOUT a serial reason on a multi-item request is a protocol violation - no stated dependency means the decomposition check was skipped.
- [routing] orchestration → enable index+worktrees — when a child agent is already running and the user submits a new request, when the decomposition check finds ≥2 independent work items (parallel dispatch, one branch each), or multiple different-function agents are needed in parallel (>3 heterogeneous parallel packages need user approval, N11; homogeneous does not).
Choosing between task and orchestration requires two checks — a state check (verify whether any child agent is still running; never assume from file non-overlap) and a decomposition check. Decompose before serializing: if the request breaks into ≥2 work items with disjoint file sets and no output dependency (one consumes the other's result), parallel dispatch via one branch each is the default; single task (or serial ordering) is legitimate only for a NAMED dependency or a shared-file constraint. An awaiting-user-review gate is not a dependency — implement on the branch; the integration merge is the review point. Tiebreak: when genuinely unsure between serial and parallel, choose parallel - worktree isolation makes it structurally safe, and N11 still caps runaway fan-out. This line is the audit trail; skipping it is a protocol violation. When unsure which state applies (chat / task / orchestration), ask the user — do not guess (N1: silence ≥ 5 min → execute the best plan automatically).

Read hygiene (the main session's own narrow reads): batch independent read-only commands in parallel; grep -n to locate, then read only the needed line range; no recursive greps over large trees from the main session — a search of that shape is the wide sweep the gate dispatches instead.

Self-repair. Skipped the [routing] line? Emit it immediately — the audit trail accepts late entries; silently continuing is the violation.

Priority over other workflow skills. Other installed skills (brainstorming, using-superpowers, ...) may shape the conversation, but they never override execution routing: whatever they conclude, the work still passes Step 0 — output the [routing] line first, and any research that installs/configures, any file write, any build is dispatched to a child agent. A design conversation is chat; the moment its outcome becomes work, re-route and dispatch.


Dispatch Package (MUST template)

Every dispatch prompt has exactly four parts, in order:

  1. Identity line: &lt;task_id&gt; (role: &lt;role&gt;, optional — defaults to &quot;impl&quot;). You are a dispatched child executor.
  2. Handbook-first instruction — the first instruction in the prompt: First action: read skills/orch-lite-executor/SKILL.md (your handbook) — the handbook is canonical for behavior. The handbook carries the child's binding rules; do not restate them in the package.
  3. Fenced-JSON package (required: task_id, objective, acceptance_criteria):
    json {&quot;task_id&quot;: &quot;impl-20260911-01&quot;, &quot;objective&quot;: &quot;Fix the 500 error of the login API&quot;, &quot;acceptance_criteria&quot;: [&quot;login API returns 200&quot;]}
    feature_id is optional binding metadata (plain naming, no format gate). Binding is a convention, not enforcement: one feature = one branch — the child works on feature/&lt;feature_id&gt; and the gate no longer checks branch existence, the index, or any reuses field. Generic dispatches simply omit it.
    Reuses are a composition convention, not hook-enforced: when the feature has index history, read it first and note in the package which entries shaped the objective.
    The package IS the agent's definition. There are no role pre-definitions and no agents.json registry: the dispatch's objective + acceptance_criteria, shaped per task, are the whole definition of the agent that runs it. Read the feature's index entries first and let their recorded conclusions shape the objective instead of re-deriving them.
  4. Context pointers — at most 3 lines, and only file-unreachable facts (decisions, constraints, paths that exist nowhere on disk). Secrets are read-never-print: never inline a secret in a dispatch. Never re-paste process text — the child pulls everything file-reachable from SKILL.md / references / memory / git log.

<EXTREMELY-IMPORTANT>
Reuse-first composition (MUST):
- Before composing any dispatch, read the feature's index history (python3 scripts/multi-agent index show --feature-id &lt;fid&gt;, plus the feature-branch history when it exists). There is no agents.json and no registry: the package's objective + acceptance_criteria ARE the agent's definition — shape them per task, folding in what prior entries teach so the child reuses conclusions instead of re-deriving them.
- Every dispatch package's first instruction to the child is: First action: read skills/orch-lite-executor/SKILL.md (your handbook) — the handbook is canonical.
</EXTREMELY-IMPORTANT>

The gate is minimal by design: it checks only the package's shape (fenced JSON, required fields, background flag, handbook pointer). Binding and reuse are conventions the main agent follows when composing, not hook checks — routing is untouched: the three states and the 5 invariants above stay exactly as written.


Main Agent Action Table

Children never commit on main — they commit only inside their own write area: their worktree, or the primary working tree checked out on their feature/&lt;feature_id&gt; branch. main itself is touched by the main agent only, for integration merges.

NEW_TASK (user submits a request)

  1. index list → recover state
  2. Output the decomposition list: each work package + file scope. ≥2 disjoint scopes & no dependency → dispatch IN PARALLEL (run_in_background: true); serial only on a real dependency
  3. Continuation check: index show --feature-id &lt;fid&gt; - a COMPLETED task whose resumable agent (agent_id recorded) covered the same scope -> prefer resuming it (SendMessage with a continuation package: new objective + delta context + identity update) over a fresh dispatch; fresh child only when a parallel slot is needed or the old context is a liability (very long/messy).
  4. Reuse check: index show --feature-id &lt;fid&gt; — feature exists → propose reusing its branch
  5. T1: worktree create --task-id --feature-id [--base main]
  6. T1: index create --task-id --role [--feature-id] [--objective] [--criteria …] [--agent-id &lt;agent&gt;]
  7. Dispatch the fenced-JSON package via Agent (run_in_background: true; prompt = JSON block + task-specific context only, never re-pasted process text)
  8. End the turn

TASK_COMPLETED (a child reports)

  1. index update --task-id --status --output --products (T2)
  2. worktree remove --task-id (refuses if uncommitted; branch kept)
  3. Report to user

FEATURE_INTEGRATION (all feature tasks done / user asks to sync)

  1. worktree merge --feature-id (pre-check: clean → merge; conflicts → report + ask user)
  2. Branch survives

HELP_REQUEST (a child needs cross-function help)

  1. index show --feature-id &lt;fid&gt; → existing product? → tell it to reference
  2. Else create per N11 and dispatch

Child side: after receiving a dispatch, the child follows its own skill, orch-lite-executor — standard flow, commit discipline, reporting format (the process boilerplate lives there, not in 02-protocol §5).


CLI Quick Reference

CLI groups: init / index / worktree / memory / doctor — requires Python >= 3.9 for the CLI and both hooks (older interpreters print a one-line stderr message; hooks fail-open, the CLI exits non-zero); uv users may run via uv run --python 3.12 &lt;script&gt; (docs only, no dependency).

Full parameters: ./scripts/multi-agent &lt;group&gt; --help or references/03-state.md, which documents every row including the doctor --compare-dir install-drift check.


Memory (read before you re-derive, write when it cost you)

  • Reading is the other half of the loop. Facing a hard / non-obvious problem (main or a child)? Stop and read .orch-lite/memory.json experiences before re-solving from scratch — a recorded solution is already paid for. Then, at dispatch, point the child at it (executor handbook, "Standard Flow"). This applies to the main session's own hard problems too, with the same quantified trigger the executor handbook uses: 3 failed attempts on the same problem OR ~10 minutes without progress → stop, read the experiences first; still unsolved → surface it to the user rather than grinding.
  • When a child reports STUCK (problem, attempts made, what memory said): read the feature's index/memory context yourself (index show --feature-id &lt;fid&gt; + .orch-lite/memory.json), then re-dispatch with the recorded conclusions folded into the new objective — do not just re-run the same package.
  • Writing threshold: record an experience only when a problem genuinely cost unusual time/energy to crack (not every hiccup). Condensable into a must-follow rule → contract instead. Unsure → ask the user.
  • Pain feedback — an interaction that annoyed the user or wasted agent effort — is recorded as an experience with &quot;tag&quot;: &quot;pain&quot; and &quot;status&quot;: &quot;open&quot; (flipped to resolved when a release addresses it), so recurring friction accumulates in the project's memory instead of evaporating.

Reference Index (read when)

File When to consult
01-judgment.md Judgment/heuristics cases — principles, roles, naming, hierarchy, dispatch rules. Read before any judgment call
02-protocol.md Dispatch/schema lookup tables — package format, message types, standard flow pointer, parallel/reuse, memory record-time rules
03-state.md CLI parameters + state schemas — index/worktree/memory file formats, full scripts/multi-agent reference

Each reference is a view, not authority: SKILL.md is canonical; on any conflict SKILL.md wins.


Maintenance (not injected)

Hooks and development/deployment docs: docs/maintenance.md — maintainer-facing, not runtime-injected.

常见问题

5 问
答案由本站依据条目字段整理
orch-lite怎么安装?

在支持 Skills 的客户端里执行:skillhub install user_a5a793c6/orch-lite。安装方式为未标注。装完刷新技能列表或重开客户端。

orch-lite支持哪些客户端?

资料没有标注宿主客户端,但只要客户端支持 Skills(Claude、Codex、Cursor 等),一般都能加载。

orch-lite权限高吗,安全吗?

权限级别为未标注权限。安装前先看它会读取或写入哪些内容。

orch-lite收费吗?

本站不代收费用,也没有标注具体价格。是否收费取决于技能本身和所用的模型或客户端,正式使用前按作者说明确认。

orch-lite用什么许可证?

许可证标注为 未说明(许可证不明确)。商用或二次分发前请到仓库确认条款原文。

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技能内容以作者仓库为准;分类、权限级别与许可证状态的中文说明为中文整理,最近核验 未标注。