القائمة
Runs a bounded multi-perspective Pi Fabric council with independent reviewers and optional synthesis. Use for architecture choices, plans, reviews, and adversarial cross-checking.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
| name | fabric-council |
| description | Runs a bounded multi-perspective Pi Fabric council with independent reviewers and optional synthesis. Use for architecture choices, plans, reviews, and adversarial cross-checking. |
| disable-model-invocation | true |
Use one fabric_exec call and council.run(). Choose three to five roles that disagree usefully rather than duplicating one another, such as correctness, security, operability, maintainability, and requirements skepticism.
const roles = JSON.parse(π.roles) as string[];
await workflow.configure({
name: "Council review",
description: `${roles.length} independent perspectives with synthesis`,
});
await phase("Deliberate", { total: roles.length });
return council.run({
task: π.task,
roles,
tools: ["read", "grep", "find", "ls"],
synthesize: true,
});
Pass the task as strings.task and the JSON role array as strings.roles. Members inspect evidence independently; synthesis must preserve material disagreement, reject unsupported claims, and make a concrete recommendation. Use synthesize: false only for raw opinions.
A council costs N concurrent role agents plus one sequential synthesizer and must fit executor.timeoutMs; its usage counts toward the execution budget. Keep roles bounded and set top-level agentBudget/tokenBudget for large runs. Do not use a council for a simple lookup or a decision with no meaningful competing considerations.
Creates a custom persistent Pi Fabric supervisor or advisor. Use for ambient supervision, ongoing peer review, an advisor, or a goal watcher without another extension.
Multi-model deliberation. Up to 8 distinct models answer in parallel with web-capable tools, then a judge compares consensus, contradictions, coverage gaps, unique insights, and blind spots. Use when the cost of being wrong justifies multiple completions.
Recursively decomposes oversized tasks into bounded child Pi agents with fresh context windows. Use for whole-repo audits, massive-context analysis, and multi-file refactors that do not fit one context.
Uses Fabric's typed Schema evidence loop and, when enabled, its bounded local-file transaction channel. Use when surprise must void a plan and mutation claims need explicit postconditions.
Creates a self-organizing team of persistent Pi Fabric actors with durable topics, mailboxes, and compare-and-swap tasks. Use for messenger-like collaboration and long-lived delegated work.
Starts a persistent Pi Fabric peer advisor that reviews the main agent at decision points and surfaces only concrete, material advice. Use for ambient correctness review without another extension.