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Skill

/agent-creator

Creates new specialized agents with frontmatter, tools, delegation. Triggers: new agent, create agent, agent scaffold, specialized agent.

From plugin
ai-toolkit
161111 skills44 agents
Install
$ npx -y skills add softspark/ai-toolkit --skill agent-creator --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/agent-creator

Context preview

The summary Claude sees to decide when to auto-load this skill.

Creates new specialized agents with frontmatter, tools, delegation. Triggers: new agent, create agent, agent scaffold, specialized agent.

SKILL.md

agent-creator.SKILL.md
name: agent-creator
description: "Creates new specialized agents with frontmatter, tools, delegation. Triggers: new agent, create agent, agent scaffold, specialized agent."
effort: high
disable-model-invocation: true
argument-hint: "[agent name or role]"
allowed-tools: Read, Write, Edit, Bash, Grep, Glob

Agent Creator

$ARGUMENTS

Create a new specialized agent following ai-toolkit conventions.

Workflow

1. **Capture role** -- what problem space should the agent own? 2. **Define triggers** -- which keywords or task types should route to this agent? 3. **Choose tools** -- minimal tool set, least privilege first 4. **Choose model** -- `opus` for deep reasoning, `sonnet` for lighter pattern work 5. **Map supporting skills** -- which knowledge skills should the agent reference? 6. **Write instructions** -- capabilities, constraints, escalation rules, deliverables 7. **Validate** -- frontmatter, naming, skills references, tool whitelist

Required Frontmatter

---
name: agent-name
description: "When to use this agent. Triggers: keyword1, keyword2."
tools: Read, Write, Edit
model: sonnet
skills: skill-one, skill-two
---

Authoring Rules

  • **MUST** match filename and `name:` using lowercase-hyphen format — drift breaks routing
  • **MUST** include an explicit `Triggers:` list in the description so the router can dispatch deterministically
  • **NEVER** reference skills that do not exist — either create the dependency first or drop the reference
  • **NEVER** grant write access to `.claude/agents/` — that authority belongs to `meta-architect` alone
  • **CRITICAL**: avoid tool bloat. Every extra tool widens blast radius; start from `Read` and justify additions one by one
  • Give the agent a clear boundary: what it owns and what it must escalate
  • Prefer specialized, narrow responsibility over generic "do everything" agents

Agent Skeleton

---
name: {agent-name}
description: "When to use this agent. Triggers: keyword1, keyword2."
tools: Read, Edit
model: sonnet
skills: relevant-skill
---

You are a specialized agent for {domain}.

## Responsibilities
- Responsibility one
- Responsibility two

## Constraints
- Do not edit files outside owned scope unless required
- Escalate security, data-loss, or architecture risks

## Deliverables
- Clear findings
- Specific edits or recommendations
- Validation notes

Validation Checklist

  • [ ] Filename matches `name:` in frontmatter
  • [ ] Description includes trigger words and use cases
  • [ ] Tools are from the approved Claude Code tool set
  • [ ] Referenced skills exist
  • [ ] Model choice matches expected complexity
  • [ ] `scripts/validate.py` passes after adding the agent

Gotchas

  • The `description` is the **only** content the model sees at routing time (progressive disclosure, tier 1). Adding triggers to the body without putting them in `description` means the agent is invisible to the router.
  • `tools:` parser acceptance varies between Claude Code, ai-toolkit adapters, and downstream consumers — some accept comma-separated, some space-separated, some YAML lists. Stick to one style consistent with neighbouring agents in the repo and let `scripts/validate.py` catch drift.
  • Agent `name` is capped at 64 chars; some consumers silently truncate longer names, which then **fail to match** the filename at load time. Keep names short and unambiguous.
  • `skills:` can reference skills inside plugin packs; if the user has not enabled that pack, the agent fails on first invocation with an opaque "skill not found" error. Either reference only in-tree skills, or document the plugin prerequisite in the agent body.

When NOT to Use

  • For a **skill** (slash command or knowledge doc) — use `/skill-creator` instead
  • For a **slash command** that is *not* an agent delegate — use `/command-creator`
  • For a **plugin pack** bundling multiple agents and skills — use `/plugin-creator`
  • To *modify* an existing agent — delegate to the `meta-architect` agent; this skill is create-only
  • When the task is really a workflow (orchestrator + N specialists) — reach for `/orchestrate` or `/workflow` before minting a new agent
Read more
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