consult

Answers advisory questions by consulting domain SME agents with bounded evidence and confidence marking.

Updated Sep 14, 2026
One-click install
npx skills add https://github.com/pandejesal/drone-nav-sar --skill consult-pandejesal
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: consult
Source: https://github.com/pandejesal/drone-nav-sar/tree/main/.swarm/bundled-skills/consult
Command: npx skills add https://github.com/pandejesal/drone-nav-sar --skill consult-pandejesal

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? When an AI architect agent needs expert guidance on unfamiliar domains, ad-hoc answers risk being unverified or stale. This Skill provides a structured consultation protocol that routes questions to subject-matter-expert agents, enforces read-before-cite discipline, and marks uncertainty explicitly so advisory answers stay grounded in the current codebase. ## Core Features & Use Cases - Bounded SME Consultation: Identifies 1-3 relevant domains per task and calls the swarm's SME agent once per domain, serially, with a cap of 3 SME calls per project phase. - Guidance Caching: Checks .swarm/context.md for cached guidance first and stores new guidance there to avoid redundant consultations. - Read-Before-Cite Discipline: Requires agents to read actual files or tool output before citing source code, line ranges, API behavior, or CLI flags, and mandates confidence: LOW marking for unverifiable claims. - Use Case: During a multi-phase software project, the architect encounters a database schema question outside its expertise; it invokes this protocol to consult the SME agent, caches the guidance, and cites only verified file contents in its final answer. ## Quick Start Activate MODE: CONSULT to answer an advisory question by consulting the swarm's SME agents and caching the verified guidance in context.md.

Frequently Asked Questions about consult

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I get expert guidance in a multi-agent AI workflow?

Use a consultation protocol that identifies 1-3 relevant domains from the task and calls a subject-matter-expert agent once per domain, serially. Cap consultations per project phase and cache the guidance in a shared context file to avoid redundant calls.

How to prevent AI agents from citing outdated source code?

Enforce a read-before-cite discipline: agents must read the actual file or tool output in the current revision before quoting line ranges, API signatures, or CLI flags. Claims that cannot be verified this turn must be marked with low confidence.

When should SME consultation results be cached?

Cache guidance in a shared context file after each consultation and check that cache before making new SME calls. Re-consult only when a new domain emerges or significant changes require fresh evaluation.

What are the limits of advisory SME consultation protocols?

SME answers are advisory, not authoritative, and may still contain unverified claims. The protocol mitigates this with confidence marking and evidence requirements, but it does not execute or test the recommended changes itself.

How many expert agent calls should a project phase allow?

This protocol caps SME calls at 3 per project phase, with one call per identified domain made serially. The limit keeps consultation overhead bounded while still covering the relevant domains of a task.