Agent skill

LLM Council

by aiskillstore in aiskillstore/marketplace

Orchestrate a configurable, multi-member CLI planning council (Codex, Claude Code, Gemini, OpenCode, or custom) to produce independent implementation plans, anonymize and randomize them, then judge…

No licenceAuto-check passedAgent Workflows

Install LLM Council

skills CLI
$ npx skills add aiskillstore/marketplace --skill llm-council -a claude-code

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

GitHub CLI
$ gh skill install aiskillstore/marketplace llm-council --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/aiskillstore/marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/am-will/llm-council .claude/skills/llm-council && 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
llm-council
GitHub stars
433
Used in
1 other repo
Token cost
~1.2k tokens
SKILL.md length
552 words
Files
23 (incl. scripts, references)
Skills in repo
1,044
Repo updated
First seen
Licence
None found

At a glance

Orchestrate a configurable, multi-member CLI planning council (Codex, Claude Code, Gemini, OpenCode, or custom) to produce independent implementation plans, anonymize and randomize them, then judge…

  • Works in 7 steps: Load the task spec, and explore the… → Always ask thorough intake questions to… → Build planner prompts (Markdown… → …
  • You need a robust
  • SKILL.md covers Quick start, Workflow, Agent configuration (task_spec) and References, plus 1 more section
  • Runs Python and JavaScript scripts from its folder; calls python3

What it does

LLM Council is an agent skill from aiskillstore/marketplace. Orchestrate a configurable, multi-member CLI planning council (Codex, Claude Code, Gemini, OpenCode, or custom) to produce independent implementation plans, anonymize and randomize them, then judge and merge into one final plan. Use when you need a robust, bias-resistant planning workflow, structured JSON outputs, retries, and failure handling across multiple CLI agents.

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 27 other files, including scripts and reference files (for example `references/architecture.md`, `references/cli-notes.md` and `references/data-contracts.md`).

It sits in Agent Workflows, covering Planning. The repository describes itself as: Security-audited skills for Claude, Codex & Claude Code. One-click install, quality verified.

When your agent uses it

  • You need a robust
  • Bias-resistant planning workflow
  • Structured JSON outputs
  • Failure handling across multiple CLI agents

Example prompts

  • “/llm-council”

Requirements

  • Python 3
  • Node.js

Workflow steps

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

  1. Load the task spec, and explore the codebase you are in to get a strong sense of the product.
  2. Always ask thorough intake questions to build a clear task brief. Clarify any ambiguities, constraints, and success criteria. Remind the…
  3. Build planner prompts (Markdown template) and launch the configured planner agents in parallel background shells.
  4. Collect outputs, validate Markdown structure, and retry up to 2 times on failure. If any agents fails, yield and alert the user to fix the…
  5. Anonymize plan contents and randomize order before judging.
  6. Run the judge with the rubric and Markdown template, then save judge.md and final-plan.md.
  7. Session management: DO NOT yield/finish the response until a full 30-minute timer has completed and judge + final-plan.md are confirmed…

What it can do on your machine

Read from SKILL.md and the folder at commit 44923f3. 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

    Ships 3 files in scripts/ (Python and JavaScript, from the files we listed), which the agent can run.

    Shell commands in SKILL.md call:

    • python3

    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

LLM Council loads about 1.2k tokens when it runs, and up to ~7k if it reads all its reference files. Until then it costs about 96 tokens; SKILL.md has 552 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~96
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~7k

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); the scripts in this folder are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 552 words (~1,213 tokens).

“Use agents.planners to define any number of planning agents, and optionally agents.judge to override the judge. If agents.judge is omitted, the first planner config is reused as the judge. If agents is omitted in the task spec, the CLI will…”

— opening of SKILL.md by aiskillstore
name
llm-council

Read the full SKILL.md on GitHub

Files

SKILL.md and 22 other files (scripts, references) in skills/am-will/llm-council of aiskillstore/marketplace.

  • SKILL.md
  • references/architecture.md
  • references/cli-notes.md
  • references/data-contracts.md
  • references/prompts.md
  • references/schemas/council_plan.schema.json
  • references/schemas/final_plan.schema.json
  • references/schemas/judge_input.schema.json
  • references/schemas/judge_output.schema.json
  • references/schemas/task_spec.schema.json
  • references/task-spec.example.json
  • references/templates/judge.md
  • references/templates/plan.md
  • scripts/llm_council.py
  • scripts/ui/app.js
  • scripts/ui/index.html
  • … and 7 more

Open the folder on GitHubat commit 44923f3

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in aiskillstore/marketplace, which our catalogue first saw on October 7, 2026.

Compare with similar skills

LLM Council 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.

LLM Council compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
LLM Council this skillaiskillstore/marketplace4331 repos~1.2kAutomated safety check: PassNone
Executing Plans Inlineobra/superpowers297k2 repos~5.1kAutomated safety check: PassMIT
Interview Meaddyosmani/agent-skills104k6 repos~3.8kAutomated safety check: PassMIT
OpenSpec Guided OnboardingFission-AI/OpenSpec72k1 repos~4.5kAutomated safety check: PassMIT
Writing Plansgeeksblabla/stateofdev.ma16357 repos~661Automated safety check: PassNone
Subagent Driven DevelopmentAsvarox/allkaraoke26137 repos~1.2kAutomated safety check: PassNone

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  • Writing Plans

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All 1,044 skills in this repo
  • Code Stats

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  • Data Processing

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  • Doc Scanner

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  • Find Replace

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    Modern find-and-replace using sd (simpler than sed) and batch replacement patterns.

    433 GitHub starsUsed in 1 repo~527 tokens
    Auto-check: notes
  • Project Planner

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    Detects stale project plans and suggests session commands. An agent skill from aiskillstore/marketplace.

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    Auto-check passed

Categories

Questions about LLM Council

What does LLM Council do?

Orchestrate a configurable, multi-member CLI planning council (Codex, Claude Code, Gemini, OpenCode, or custom) to produce independent implementation plans, anonymize and randomize them, then judge…. LLM Council is an agent skill from aiskillstore/marketplace. Orchestrate a configurable, multi-member CLI planning council (Codex, Claude Code, Gemini, OpenCode, or custom) to produce independent implementation plans, anonymize and randomize them, then judge and merge into one final plan.

When should I use LLM Council?

LLM Council fits situations like: you need a robust; bias-resistant planning workflow; structured JSON outputs; failure handling across multiple CLI agents.

How do I install LLM Council in Claude Code?

Run `npx skills add aiskillstore/marketplace --skill llm-council -a claude-code`. Or copy the skill folder (skills/am-will/llm-council in aiskillstore/marketplace) into .claude/skills/llm-council in your project. Claude Code loads it when a task matches its description.

How do I install LLM Council in Codex?

Run `npx skills add aiskillstore/marketplace --skill llm-council -a codex`. Or copy the skill folder (skills/am-will/llm-council in aiskillstore/marketplace) into .agents/skills/llm-council in your project. Codex loads it when a task matches its description.

Can I use LLM Council 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 aiskillstore/marketplace --skill llm-council -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/llm-council, .gemini/skills/llm-council, .github/skills/llm-council and .opencode/skills/llm-council in your project.

What does LLM Council need to run?

Going by SKILL.md and its folder, LLM Council needs Python and JavaScript for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3; Node.js.

Does LLM Council 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 LLM Council 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does LLM Council use?

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

How many tokens does LLM Council use?

About 1.2k tokens (SKILL.md is roughly 4.9k 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 5.8k tokens, read only when the agent opens those files.

What are the alternatives to LLM Council?

Skills that share tags, products or a category with LLM Council: Executing Plans Inline (obra/superpowers, 297k stars), Interview Me (addyosmani/agent-skills, 104k stars), OpenSpec Guided Onboarding (Fission-AI/OpenSpec, 72k stars) and Writing Plans (geeksblabla/stateofdev.ma, 163 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains LLM Council?

aiskillstore (a GitHub organization) maintains it in aiskillstore/marketplace, which has 433 GitHub stars. The repository holds 1,044 skills in this directory. The repository was last updated on October 10, 2026.

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