Consulting Agents

The Trigger

Use this skill when you think:

• "I need to find something in this codebase"
• "I'm not sure about the best approach here"
• "I want a second opinion on this code/design"
• "I need to research how X works"

Ask yourself: "Do I need information, expertise, or a fresh perspective?" If yes → consult an agent.

NOT for: Implementation work. If you need code written, see subagent-driven-development or parallel-agent-orchestration.

Core Principle

Agents provide fresh context for focused tasks. You own the through-line understanding. Agents research, advise, and review.

No blocking authority. Agents provide input, you decide.

When to Consult

Task Prompt Pattern

Domain-focused task wording > specialist identity.

Instead of: "You are a security expert..." Use: "Review this code for security issues: authentication, authorization, input validation, SQL injection, XSS"

The domain focus triggers expertise without the overconfidence trap.

Dynamic Role (When Needed)

When consultation needs a clear vantage point, add a role:

**Role:** Staff Infrastructure Engineer focused on failure-mode analysis.

**Task:** Review this retry logic for...

Keep roles scoped to the consultation. Recompute for each new agent.

Task Prompt Iteration Protocol

Before dispatching, refine the prompt:

1. Draft task with what you want and domain concerns
2. Ask the agent: "I'm planning to task you with [X]. What additional context would help?"
3. Agent responds with needs (usually 1-2 iterations)
4. Update prompt with requested info
5. Confirm: "Does this have everything needed?"
6. Dispatch to fresh context with refined prompt

Why fresh context: Same model, clean slate = no accumulated assumptions.

Parallel Discovery

Discovery can run in parallel easily - no commit coordination needed.

Dispatch multiple agents in a SINGLE message when tasks are orthogonal:

[In one message, dispatch:]
- codebase-locator: "find authentication entry points"
- codebase-locator: "find session management"
- codebase-locator: "find authorization code"
- general-purpose: "review auth architecture for security concerns"

→ All 4 run concurrently
→ You synthesize results

When to parallelize discovery:

• Multiple searches needed
• Different review perspectives on same code (security, performance, UX)
• Research from multiple sources
• Any orthogonal read-only operations

Synthesis required: You (or a coordinating agent) must synthesize parallel results. Parallel agents catch task-specific issues but miss integration concerns.

Synthesis Layer

Problem: Parallel agents miss how pieces connect.

Options:

1. You synthesize (default for 2-4 agents)
2. Coordinating agent reviews all results (for 5+ agents)
3. Two-phase: Parallel task reviews, then integration review

Decide who synthesizes before parallelizing.

Report Format

Agents write to ~/.claude/scratchpad/:

{timestamp}-{project-slug}-{agent-type}-{task-slug}.md

Report structure:

# Task: [What you asked]

## Executive Summary
[2-3 sentences: findings + recommendation]

## Findings
[Detailed analysis with evidence]

## Recommendations
[Specific actionable suggestions]

## References
[Files examined, sources consulted]

Objectivity required: Focus on technical facts, not quality judgments. Avoid superlatives.

Related Skills

This skill (consulting-agents): Research, expertise, review - agents advise, you decide.

Those skills: Implementation delegation - agents write code.

Decision Matrix

Consult when:

• ✅ Need information
• ✅ Want expert opinion
• ✅ Need code review
• ✅ Validating approach
• ✅ Pattern discovery

Don't consult, implement directly when:

• ❌ You have the info already
• ❌ Simple/obvious task
• ❌ Need tight context continuity

Don't consult, delegate implementation when:

• Task is well-scoped with clear acceptance criteria
• Fresh context beneficial
• See subagent-driven-development or parallel-agent-orchestration

Red Flags

Never:

• Give agents blocking authority (you decide)
• Skip reading agent reports
• Parallelize without deciding who synthesizes

Always:

• Use domain-focused task wording over specialist identity
• Iterate on task prompts before dispatching
• Synthesize parallel results (don't just aggregate)
• Maintain final decision authority

Why Fresh Context + Domain Focus Works

Experimental finding: General-purpose agents with domain-focused tasks outperform specialist agents.

Why specialists underperform:

1. Overconfidence trap - "You are an expert" → commits to role → doesn't use tools → misses things
2. Narrow focus - Specialists focus on "hard problems" → miss systematic concerns

What works:

• Fresh context = clean slate
• Domain-focused task = triggers expertise without identity baggage
• No identity claim → agent naturally uncertain → uses tools → catches more