updated defintion
Signed-off-by: Matt Bruce <matt.bruce1@toyota.com>
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Agents.md
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Agents.md
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# Agents
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# Agents
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## Purpose
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## Purpose
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This file defines how to use agent-style workflows in this project so tasks are clear, scoped, and repeatable.
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This file defines how to use agent-style workflows and skills in this project, so tasks are clear, scoped, and repeatable.
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It is internal guidance for the assistant, not reader-facing documentation.
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It is internal guidance for the assistant, not reader-facing documentation.
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## What Are Agents vs Skills?
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**Short answer:**
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- **Skills** = reusable tools or playbooks the AI can call when needed. Like a toolbox for a generalist.
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- **Custom agents** (your /assets/agents/ folders) = specialized AI teammates with their own personality, expertise, and decision-making style. Like building a team of experts.
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You can get pretty far with just the default agent (the generalist one) + skills, but custom agents unlock a completely different level: turning one smart generalist into a full specialized team.
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### Why people actually create and use custom agents
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Here’s what changes in practice:
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**True specialization & expertise**
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- A default agent + “use the React skill” still thinks like a generalist.
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- A custom @react-architect agent has deep, baked-in knowledge (your exact component patterns, state management preferences, accessibility rules, performance gotchas). It doesn’t forget or need reminding.
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**Different thinking styles / risk levels**
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- @rapid-prototype agent → fast, experimental, okay with temporary hacks
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- @production-safety agent → extremely conservative, asks for confirmation on big changes, always checks security/performance first
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- @security-auditor agent → thinks about threats, OWASP, secrets scanning before writing a single line
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You can’t get this reliably just by prompting the default agent every time.
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**Multi-agent orchestration (the real 2026 power move)**
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Tools like Windsurf Cascade, Claude Code Subagents, VS Code Agents, RooCode, Cline, and even Cursor (via agent handoffs) let agents delegate to each other:
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Planner Agent → Backend Agent → Frontend Agent → Tester Agent → Reviewer Agent
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This is way smoother and more reliable than one default agent trying to do everything.
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**Convenient UX**
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You just type @security review this or switch to the agent in the sidebar. No long prompt every session.
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**Consistency across sessions & team members**
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The custom agent always behaves the same way. No “mood” variation like the default agent sometimes has.
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**Curated tool/skill usage**
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You can restrict or prioritize certain skills for that agent only (e.g. the security agent only gets vulnerability-scanning skills and is blocked from deploying).
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**Real-world analogy**
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Default agent + skills = One extremely capable senior developer with a huge toolbox. You still have to guide them a lot.
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Custom agents = You built a small specialized team (architect, frontend wizard, security lead, QA expert). You just assign the right person to the task.
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Most power users and big teams in 2026 do both:
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- A rich library of skills (your /assets/skills/)
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- Several custom agents (your /assets/agents/) that know exactly which skills to use and how.
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That’s exactly why having separate /agents/ and /skills/ folders in your repo is such a smart setup.
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## Audience And Tone Rules
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## Audience And Tone Rules
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Assume the reader is new to AI and needs detailed, step-by-step guidance.
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Assume the reader is new to AI and needs detailed, step-by-step guidance.
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