Kanban Orchestrator — Decomposition Playbook Agent Skill

Decomposition playbook + anti-temptation rules for an orchestrator profile routing work through Kanban.

Context cost
4k tokensestimated from the bundle, loaded when it triggers
Bundle
1 file · 15.8 kBtext throughout, nothing executable
Licence
not declarednone named by its author
Last change
—v3.0.0
Servers it uses
Noneruns standalone

What it does

Decomposition playbook + anti-temptation rules for an orchestrator profile routing work through Kanban. The "don't do the work yourself" rule and the basic lifecycle are auto-injected into every kanban worker's system prompt; this skill is the deeper playbook when you're specifically playing the orchestrator role.

What this skill changes about the agent has not been set out here as a list. Its SKILL.md, shown below, says it in the author’s own words.

productivity

The skill itself

A skill is instructions the model reads, so you can see what you are getting: below is the start of its SKILL.md. The front matter loads with every session, the body loads when the skill triggers, and the whole file comes with the install.

SKILL.md15.8 kB · preview
--- name: kanban-orchestrator version: 3.0.0 platforms: [linux, macos, windows] environments: [kanban] metadata: hermes: tags: [kanban, multi-agent, orchestration, routing] related_skills: [kanban-worker] ---
13# Kanban Orchestrator — Decomposition Playbook
14
15> The **core worker lifecycle** (including the kanban_create fan-out pattern and the "decompose, don't execute" rule) is auto-injected into every kanban process via the KANBAN_GUIDANCE system-prompt block. This skill is the deeper playbook when you're an orchestrator profile whose whole job is routing.
16
17## Profiles are user-configured — not a fixed roster
18
19Hermes setups vary widely. Some users run a single profile that does everything; some run a small fleet (docker-worker, cron-worker); some run a curated specialist team they've named themselves. There is **no default specialist roster** — the orchestrator skill does not know what profiles exist on this machine.
20
21Before fanning out, you must ground the decomposition in the profiles that actually exist. The dispatcher silently fails to spawn unknown assignee names — it doesn't autocorrect, doesn't suggest, doesn't fall back. So a card assigned to researcher on a setup that only has docker-worker just sits in ready forever.
22
23**Step 0: discover available profiles before planning.**
24
25Use one of these:
26
27- hermes profile list — prints the table of profiles configured on this machine. Run it through your terminal tool if you have one; otherwise ask the user.
28- kanban_list(assignee="<some-name>") — sanity-check a single name. Returns an empty list (rather than an error) for an unknown assignee, so this only confirms a name you're already considering.
29- **Just ask the user.** "What profiles do you have set up?" is a fine first turn when the goal needs more than one specialist.
30
31Cache the result in your working memory for the rest of the conversation. Re-asking every turn wastes a tool call.
This is a preview of SKILL.md. Download or install the skill to get the whole thing.
In the file
SKILL.md2,356 words
Files1
Licencenot declared
Why you can read it

Nothing in a skill executes. The client loads the text and the model follows it, so a skill can be audited the way a runbook is — by reading it.

What it costs in context

Skills are not billed by the call. They are paid for in context: every token the instructions occupy is a token your code, your diff and your conversation cannot use. Here is what this one takes and when it takes it.

≈140
always loaded
The name and description, so the model knows the skill exists and when to reach for it.
3,810
on trigger
The instruction body, read only when the skill fires.
2.0%
of a 200k window
Ten skills this size would take about 20% of the window before you open a file.
050k100k150k200k context window

4k tokens, estimated from the bundle at four bytes to the token, held for the rest of the session once it triggers. Middling. Fine to keep on in a project where you use it weekly, worth unloading in one where you never do.

Servers bill, skills cost

A server charges by the month. A skill charges once per session, in context, and then keeps charging it for as long as the session lives.

Before and after

The same question, put to the same model twice: once as it comes, and once with these instructions loaded.

No worked example has been published for this skill yet.

The procedure it runs

The procedure has not been set out here step by step. It is in the body of its SKILL.md: the start of it is shown above, and the whole file comes with the install.

Prose, not code

These steps are written for a model to follow, not executed by a runtime. It can still be told to skip one, and it will say so when it does.

Servers it uses

None. This skill calls no MCP servers at all.

Everything it needs is in the instructions, so it works in a project with nothing connected — the model reads the file and changes how it works with what it can already reach.

Its SKILL.md does not declare which tools it asks the agent for, so what it touches is whatever the instructions themselves ask for — read them before you install it.

What it asks for
Writes filesnot declared
Network accessnot declared

This SKILL.md carries no allowed-tools line, so neither is declared. A skill grants no permissions of its own — it can only ask for tools your client already has.

What it will not do

Every skill is narrow, and the useful ones say where they stop. These are the jobs this one is the wrong tool for.

What this skill is not for has not been published here. Nothing is implied by that: it is a section the author has not filled in.

What is in the bundle

1 file, 15.8 kB on disk. A bundle is text throughout: the instructions the model reads, plus the templates it fills in.

  • SKILL.md15.8 kB
What is not in it

No dependencies and nothing executable: a skill is text the agent reads, so the bundle is 1 file you can review in full before installing.

Install

Installing copies the bundle into your project. Nothing runs at install time — the files sit on disk until the model reads them.

# Kanban Orchestrator — Decomposition Playbook · 4k tokens when loaded · macOS, Linux mkdir -p .claude/skills && t=$(mktemp -d) && curl -fsSL -o "$t/bundle.tar.gz" https://mcprush.com/api/skills/kanban-orchestrator-decomposition-playbook/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/kanban-orchestrator-decomposition-playbook" ] && { [ ! -e .claude/skills/kanban-orchestrator-decomposition-playbook ] || { mv .claude/skills/kanban-orchestrator-decomposition-playbook "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/kanban-orchestrator-decomposition-playbook" .claude/skills/ && echo "Installed .claude/skills/kanban-orchestrator-decomposition-playbook"
On Windows, or any OS with Node 20+
npx mcprush@latest skill add karanmrn/kanban-orchestrator-decomposition-playbook

Windows PowerShell says 'running scripts is disabled on this system'? Run Set-ExecutionPolicy -Scope CurrentUser RemoteSigned once, or type npx.cmd instead of npx (codex.cmd, gemini.cmd, grok.cmd likewise). PowerShell 7 needs neither. Writes to .claude/skills/kanban-orchestrator-decomposition-playbook/ in the current project. For every project instead, run mkdir -p ~/.claude/skills && t=$(mktemp -d) && curl -fsSL -o "$t/bundle.tar.gz" https://mcprush.com/api/skills/kanban-orchestrator-decomposition-playbook/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/kanban-orchestrator-decomposition-playbook" ] && { [ ! -e ~/.claude/skills/kanban-orchestrator-decomposition-playbook ] || { mv ~/.claude/skills/kanban-orchestrator-decomposition-playbook "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/kanban-orchestrator-decomposition-playbook" ~/.claude/skills/ && echo "Installed ~/.claude/skills/kanban-orchestrator-decomposition-playbook" (macOS, Linux) — or add --global to the npx line. The curl line replaces .claude/skills/kanban-orchestrator-decomposition-playbook/ only after the download succeeds, so files left there by another skill of the same name, or by an older release, do not mix in. A copy already there is moved aside, not deleted, and the line prints where. It appears as kanban-orchestrator in Gemini CLI, Codex, Copilot and Grok (its own name); Claude Code lists it by the folder name, kanban-orchestrator-decomposition-playbook.

Which clients pick it up on their own

A skill is a folder of text. Most of these read a skills folder and pick it up without being told; the rest take the same folder another way — an upload in the app, a parameter on an API call — and then choose it by its description just the same.

Claude Code.claude/skills/
Claude DesktopCustomize › Skills
ChatGPTSkills › Create › Upload
Cursor.cursor/skills/
VS Code.github/skills/
Codex CLI.agents/skills/
Gemini CLI.gemini/skills/
Grok Build.grok/skills/
Microsoft CopilotSkills › Upload a skill
PerplexityComputer › Skills › Upload a skill
DeepSeek Harness.dsh/skills/
Zed.agents/skills/
Devin Desktop.devin/skills/
Windsurf (legacy).windsurf/skills/
OpenAI Agents SDKInstructions or sandbox Skills
HTTP / APIa request parameter
This release
Version3.0.0
Publishedno release date on file
PriceFree
Referencekaranmrn/kanban-orchestrator-decomposition-playbook

Versions

v3.0.0 is what is on the shelf; no release here carries a date. Instructions change more often than APIs do — a skill can be rewritten entirely without anything it depends on moving.

v3.0.0
  • No earlier releases have been published to the marketplace.
Pinning

The install command always fetches the release that is current the day you run it — v3.0.0 today — and cannot ask for an earlier one. The copy on your disk does not change until you run it again.

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