Agent skill

Orchestrator Sequences

by closedloop-ai in closedloop-ai/claude-plugins

Canonical reusable orchestration procedures for the ClosedLoop planning/implementation orchestrators — PLANVALIDATIONSEQUENCE and AWAITINGUSERSEQUENCE.

Apache-2.0Auto-check passedAgent Workflows

Install Orchestrator Sequences

skills CLI
$ npx skills add closedloop-ai/claude-plugins --skill orchestrator-sequences -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install closedloop-ai/claude-plugins orchestrator-sequences --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/closedloop-ai/claude-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/code/skills/orchestrator-sequences .claude/skills/orchestrator-sequences && rm -rf skills-src

Use ~/.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/

Facts

Skill name
orchestrator-sequences
GitHub stars
122
Token cost
~777 tokens
SKILL.md length
270 words
Files
1
Skills in repo
43
Repo updated
First seen
Licence
Apache-2.0

At a glance

Canonical reusable orchestration procedures for the ClosedLoop planning/implementation orchestrators — PLANVALIDATIONSEQUENCE and AWAITINGUSERSEQUENCE.

  • Works in 4 steps: Activate code:plan-validate skill (runs… → If FORMAT_ISSUES: launch… → If VALID: launch @code:plan-validator… → …
  • Tasks that involve Multi-agent orchestration
  • SKILL.md covers PLAN_VALIDATION_SEQUENCE and AWAITING_USER_SEQUENCE
  • Calls bash

What it does

Orchestrator Sequences is an agent skill from closedloop-ai/claude-plugins. Canonical reusable orchestration procedures for the ClosedLoop planning/implementation orchestrators — PLANVALIDATIONSEQUENCE and AWAITINGUSERSEQUENCE. Single source of truth shared by prompts/prompt.md (full loop), prompts/plan-prompt.md (/code:create-plan) and prompts/execute-prompt.md (/code:execute-implementation), which each load standalone and cannot reference one another at runtime. Triggers: - An orchestrator phase needs full plan validation (structural + semantic) — run PLANVALIDATIONSEQUENCE. - An…

Its SKILL.md is about 780 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 Agent Workflows, covering Multi-agent orchestration. The repository describes itself as: Open-source Claude Code plugins for multi-agent software delivery. Plan-first SDLC workflow, code review, LLM quality judges, and self-learning — grounded in your codebase… The licence is Apache-2.0.

When your agent uses it

  • Tasks that involve Multi-agent orchestration

Example prompts

  • “/orchestrator-sequences”

Requirements

  • Python 3

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Activate code:plan-validate skill (runs Python script against $CLOSEDLOOP_WORKDIR)
  2. If FORMAT_ISSUES: launch @code:plan-writer to fix format issues, then re-activate code:plan-validate
  3. If VALID: launch @code:plan-validator with prompt: "WORKDIR=$CLOSEDLOOP_WORKDIR. SEMANTIC ONLY: Check semantic consistency of…
  4. If semantic check finds issues: launch @code:plan-writer to fix, then re-activate code:plan-validate

What it can do on your machine

Read from SKILL.md and the folder at commit 0e20ac0. 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

    Shell commands in SKILL.md call:

    • bash

    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

Orchestrator Sequences loads about 777 tokens when it runs. Until then it costs about 162 tokens; SKILL.md has 270 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~162
When it runs · the whole SKILL.md, loaded when a task matches
~777

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

The full file from closedloop-ai/claude-plugins at commit 0e20ac0, republished under its Apache-2.0 licence (© closedloop-ai). 270 words, ~777 tokens.

Download SKILL.mdSave it as .claude/skills/orchestrator-sequences/SKILL.md (or your agent's skills folder).
name
orchestrator-sequences
description
Canonical reusable orchestration procedures for the ClosedLoop planning/implementation orchestrators — PLAN_VALIDATION_SEQUENCE and AWAITING_USER_SEQUENCE. Single source of truth shared by prompts/prompt.md (full loop), prompts/plan-prompt.md (/code:create-plan) and prompts/execute-prompt.md (/code:execute-implementation), which each load standalone and cannot reference one another at runtime. Triggers: - An orchestrator phase needs full plan validation (structural + semantic) — run PLAN_VALIDATION_SEQUENCE. - An orchestrator reaches a hard stop that requires user action before continuing — run AWAITING_USER_SEQUENCE.

Orchestrator Reusable Procedures

These two procedures are referenced by name throughout the orchestrator prompts (prompt.md, plan-prompt.md, execute-prompt.md). They live here as the single source of truth so a change propagates to all three orchestrators at once. Substitute $CLOSEDLOOP_WORKDIR with the literal resolved workdir path in any subagent prompt (never the literal string $CLOSEDLOOP_WORKDIR).

PLAN_VALIDATION_SEQUENCE

Use this sequence whenever a phase needs full plan validation (structural + semantic):

  1. Activate code:plan-validate skill (runs Python script against $CLOSEDLOOP_WORKDIR)
  2. If FORMAT_ISSUES: launch @code:plan-writer to fix format issues, then re-activate code:plan-validate
  3. If VALID: launch @code:plan-validator with prompt: "WORKDIR=$CLOSEDLOOP_WORKDIR. SEMANTIC ONLY: Check semantic consistency of $CLOSEDLOOP_WORKDIR/plan.json — verify storage/query alignment and task/architecture decision consistency. Skip structural validation (already passed)."
  4. If semantic check finds issues: launch @code:plan-writer to fix, then re-activate code:plan-validate

AWAITING_USER_SEQUENCE

Use this sequence at any hard-stop that requires user action before continuing. The caller supplies the per-site phase, reason, file (path or null), and command (the resume command — built from the resolved CLOSEDLOOP_ORIGINAL_ARGS value, never the literal string $ARGUMENTS):

  1. FIRST — Write state.json with AWAITING_USER status: echo '{"phase": "<current phase>", "status": "AWAITING_USER", "reason": "<why>", "userAction": {"description": "<what user should do>", "file": "<path or null>", "command": "<resume command>"}, "timestamp": "'$(date -u +%Y-%m-%dT%H:%M:%SZ)'"}' > $CLOSEDLOOP_WORKDIR/state.json
  2. Record the native-command terminal iteration once: bash "$CLAUDE_PLUGIN_ROOT/scripts/record_native_iteration_once.sh" "$CLOSEDLOOP_WORKDIR" 2>/dev/null || true
  3. ONLY AFTER state.json is written — Output your command's completion promise: <promise>PLAN_COMPLETE</promise> for /code:create-plan, <promise>IMPLEMENTATION_COMPLETE</promise> for /code:execute-implementation, or <promise>COMPLETE</promise> for the full /code:code loop. Use the single promise token defined by your own prompt.
  4. Tell the user what to do (review file, fix issues, run command)
  5. HARD STOP — Do not continue even if the user asks

© closedloop-ai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in plugins/code/skills/orchestrator-sequences of closedloop-ai/claude-plugins.

Open the folder on GitHubat commit 0e20ac0

Compare with similar skills

Orchestrator Sequences 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.

Orchestrator Sequences compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Orchestrator Sequences this skillclosedloop-ai/claude-plugins122—~777Automated safety check: PassApache-2.0
Orca CLIstablyai/orca87k2 repos~593Automated safety check: PassMIT
Paseo Advisor Second Opiniongetpaseo/paseo20k1 repos~756Automated safety check: PassCustom licence
O2 Review Loopopenobserve/openobserve22k—~3.7kAutomated safety check: PassAGPL-3.0
Paseo Committeegetpaseo/paseo20k1 repos~496Automated safety check: PassCustom licence
Mission Control Agent APIbuilderz-labs/mission-control6.3k—~2.1kAutomated safety check: PassMIT

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Categories

Questions about Orchestrator Sequences

What does Orchestrator Sequences do?

Canonical reusable orchestration procedures for the ClosedLoop planning/implementation orchestrators — PLANVALIDATIONSEQUENCE and AWAITINGUSERSEQUENCE. Orchestrator Sequences is an agent skill from closedloop-ai/claude-plugins. Canonical reusable orchestration procedures for the ClosedLoop planning/implementation orchestrators — PLANVALIDATIONSEQUENCE and AWAITINGUSERSEQUENCE.

When should I use Orchestrator Sequences?

Orchestrator Sequences fits situations like: tasks that involve Multi-agent orchestration.

How do I install Orchestrator Sequences in Claude Code?

Run `npx skills add closedloop-ai/claude-plugins --skill orchestrator-sequences -a claude-code`. Or copy the skill folder (plugins/code/skills/orchestrator-sequences in closedloop-ai/claude-plugins) into .claude/skills/orchestrator-sequences in your project. Claude Code loads it when a task matches its description.

How do I install Orchestrator Sequences in Codex?

Run `npx skills add closedloop-ai/claude-plugins --skill orchestrator-sequences -a codex`. Or copy the skill folder (plugins/code/skills/orchestrator-sequences in closedloop-ai/claude-plugins) into .agents/skills/orchestrator-sequences in your project. Codex loads it when a task matches its description.

Can I use Orchestrator Sequences 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 closedloop-ai/claude-plugins --skill orchestrator-sequences -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/orchestrator-sequences, .gemini/skills/orchestrator-sequences, .github/skills/orchestrator-sequences and .opencode/skills/orchestrator-sequences in your project.

What does Orchestrator Sequences need to run?

Going by SKILL.md and its folder, Orchestrator Sequences needs the command-line tools its instructions call (bash). Our summary lists: Python 3.

Does Orchestrator Sequences 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 Orchestrator Sequences 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 Orchestrator Sequences use?

Orchestrator Sequences is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Orchestrator Sequences use?

About 777 tokens (SKILL.md is roughly 3.1k 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 Orchestrator Sequences?

Skills that share tags, products or a category with Orchestrator Sequences: Orca CLI (stablyai/orca, 87k stars), Paseo Advisor Second Opinion (getpaseo/paseo, 20k stars), O2 Review Loop (openobserve/openobserve, 22k stars) and Paseo Committee (getpaseo/paseo, 20k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Orchestrator Sequences?

closedloop-ai (a GitHub organization) maintains it in closedloop-ai/claude-plugins, which has 122 GitHub stars. The repository holds 43 skills in this directory. The repository was last updated on October 7, 2026.

Source: closedloop-ai/claude-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.