Agent skill

Control Session Orchestrator

by pskoett in pskoett/pskoett-ai-skills

Control-plane workflow for coordinating multi-agent, multi-session project work from a single Codex, GitHub Copilot, or agent-app control session.

No licenceAuto-check passedAgent Workflows

Install Control Session Orchestrator

skills CLI
$ npx skills add pskoett/pskoett-ai-skills --skill control-session-orchestrator -a claude-code

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

GitHub CLI
$ gh skill install pskoett/pskoett-ai-skills control-session-orchestrator --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/pskoett/pskoett-ai-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/control-session-orchestrator .claude/skills/control-session-orchestrator && 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
control-session-orchestrator
GitHub stars
311
Token cost
~5.5k tokens
SKILL.md length
2,483 words
Files
2
Skills in repo
24
Repo updated
First seen
Licence
None found

At a glance

Control-plane workflow for coordinating multi-agent, multi-session project work from a single Codex, GitHub Copilot, or agent-app control session.

  • Works in 9 steps: Rehydrate (resume an in-flight mission) → Frame the mission → Detect the control surface → …
  • The user asks to orchestrate agents
  • SKILL.md covers Mental model, Supported control apps, When to use and Machine-checkable contracts, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Control Session Orchestrator is an agent skill from pskoett/pskoett-ai-skills. Control-plane workflow for coordinating multi-agent, multi-session project work from a single Codex, GitHub Copilot, or agent-app control session. Use this skill whenever the user asks to orchestrate agents, create or steer worker sessions, run a workflow-like effort, fan out audits/research/migrations, coordinate parallel implementation streams, monitor other project sessions, or compare this control-session pattern to Claude Code dynamic workflows. This skill is especially relevant when the current session can…

Its SKILL.md is about 5.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `evals/evals.json`).

It sits in Agent Workflows, covering Multi-agent orchestration and Subagents.

When your agent uses it

  • The user asks to orchestrate agents
  • Steer worker sessions
  • Run a workflow-like effort
  • Fan out audits/research/migrations

Example prompts

  • “/control-session-orchestrator”

Workflow steps

9 steps, taken from the step headings in SKILL.md.

  1. Rehydrate (resume an in-flight mission)
  2. Frame the mission
  3. Detect the control surface
  4. Choose the topology
  5. Dispatch workers with complete prompts
  6. Track state centrally
  7. Route follow-ups (result-gate)
  8. Iterate waves to convergence
  9. Verify and consolidate

What it can do on your machine

Read from SKILL.md and the folder at commit 5a836dc. 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 and markdown).

    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

Control Session Orchestrator loads about 5.5k tokens when it runs. Until then it costs about 169 tokens; SKILL.md has 2,483 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~169
When it runs · the whole SKILL.md, loaded when a task matches
~5.5k

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

Without a licence we can't republish the file, so here is its outline and opening line. It has 2,483 words (~5,524 tokens).

“Use the current session as the control plane for project work that is too broad, risky, or stateful for one conversation. The control session owns intent, decomposition, routing, status, verification, and consolidation. Worker sessions own scoped execution. Worker subagents are…”

— opening of SKILL.md by pskoett
name
control-session-orchestrator

Read the full SKILL.md on GitHub

Files

SKILL.md and 1 other file in skills/control-session-orchestrator of pskoett/pskoett-ai-skills.

  • SKILL.md
  • evals/evals.json

Open the folder on GitHubat commit 5a836dc

Compare with similar skills

Control Session Orchestrator 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.

Control Session Orchestrator compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Control Session Orchestrator this skillpskoett/pskoett-ai-skills311—~5.5kAutomated safety check: PassNone
Paseo Advisor Second Opiniongetpaseo/paseo20k1 repos~756Automated safety check: PassCustom licence
O2 Review Loopopenobserve/openobserve22k—~3.7kAutomated safety check: PassAGPL-3.0
Kimi Code DelegationCherryHQ/cherry-studio52k1 repos~504Automated safety check: PassAGPL-3.0
Harness Agent Team Designerrevfactory/harness9.1k—~4.5kAutomated safety check: PassApache-2.0
ClawTeam Multi-Agent Swarmwin4r/ClawTeam-OpenClaw1.5k1 repos~2.9kAutomated safety check: PassMIT

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Categories

Questions about Control Session Orchestrator

What does Control Session Orchestrator do?

Control-plane workflow for coordinating multi-agent, multi-session project work from a single Codex, GitHub Copilot, or agent-app control session. Control Session Orchestrator is an agent skill from pskoett/pskoett-ai-skills. Control-plane workflow for coordinating multi-agent, multi-session project work from a single Codex, GitHub Copilot, or agent-app control session.

When should I use Control Session Orchestrator?

Control Session Orchestrator fits situations like: the user asks to orchestrate agents; steer worker sessions; run a workflow-like effort; fan out audits/research/migrations.

How do I install Control Session Orchestrator in Claude Code?

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

How do I install Control Session Orchestrator in Codex?

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

Can I use Control Session Orchestrator 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 pskoett/pskoett-ai-skills --skill control-session-orchestrator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/control-session-orchestrator, .gemini/skills/control-session-orchestrator, .github/skills/control-session-orchestrator and .opencode/skills/control-session-orchestrator in your project.

What does Control Session Orchestrator need to run?

SKILL.md names no scripts, command-line tools or credentials: Control Session Orchestrator is instructions for the agent only.

Does Control Session Orchestrator 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 Control Session Orchestrator 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 Control Session Orchestrator use?

No licence was found for Control Session Orchestrator or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Control Session Orchestrator use?

About 5.5k tokens (SKILL.md is roughly 22k 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 Control Session Orchestrator?

Skills that share tags, products or a category with Control Session Orchestrator: Paseo Advisor Second Opinion (getpaseo/paseo, 20k stars), O2 Review Loop (openobserve/openobserve, 22k stars), Kimi Code Delegation (CherryHQ/cherry-studio, 52k stars) and Harness Agent Team Designer (revfactory/harness, 9.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Control Session Orchestrator?

pskoett (a GitHub user) maintains it in pskoett/pskoett-ai-skills, which has 311 GitHub stars. The repository holds 24 skills in this directory. The repository was last updated on October 5, 2026.

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