Skill Frontmatter - Claude Code
Configure model, effort, tools, MCP servers, and invocation scope.
Skill frontmatter is a YAML block at the top of a skill file that controls how the skill runs and when it triggers.
What it does
The frontmatter declares the skill's name, description, model preference, effort level, allowed tools, MCP servers, and other per-skill config. Claude reads these fields to decide when to auto-invoke the skill and how to execute it. The description field is especially important - it's what Claude uses to match user intent to the skill.
When to use it
- Locking a skill to a specific model or effort level for predictable results.
- Restricting tools so a skill can't do more than it should.
- Tuning descriptions for reliable auto-invocation.
- Declaring required MCP servers so the skill fails fast if they're missing.
Gotchas
- Bad descriptions lead to bad auto-invocation. Write them like ads: clear triggers and scope.
- Tool restrictions apply strictly. If a skill tries to use an unlisted tool, it fails.
- Model settings in frontmatter can override the session's current model - intentional, but surprising.
Official docs: https://code.claude.com/docs/en/skills.md#frontmatter-reference
Technical content at the intersection of AI and development. Building with AI agents, Claude Code, and modern dev tools - then showing you exactly how it works.
Get the weekly deep dive
Tutorials on Claude Code, AI agents, and dev tools - delivered free every week.
Was this helpful?
Related Guides
Related Tools
Claude Code
Anthropic's agentic coding CLI. Runs in your terminal, edits files autonomously, spawns sub-agents, and maintains memory...
View ToolCodeburn
Interactive TUI dashboard that shows exactly where your Claude Code and Cursor tokens are going, in real time.
View ToolClaude Opus 4.7
Anthropic's flagship reasoning model. Best-in-class for coding, long-context analysis, and agentic workflows. 1M token c...
View ToolZed
High-performance code editor built in Rust with native AI integration. Sub-millisecond input latency. Built-in assistant...
View ToolRelated Videos

Nimbalyst: The Open-Source Visual Workspace for Building with Codex and Claude Code
Nimbalyst Demo: A Visual Workspace for Codex + Claude Code with Kanban, Plans, and AI Commits Try it: https://nimbalyst.com/ Star Repo Here: https://github.com/Nimbalyst/nimbalyst This video demos N...

Composio: Connect OpenClaw & Claude Code to 1,000+ Apps via CLI
Composio: Connect AI Agents to 1,000+ Apps via CLI (Gmail, Google Docs/Sheets, Hacker News Workflows) Check out Composio here: http://dashboard.composio.dev/?utm_source=Youtube&utm_channel=0426&utm_...

Claude Code Channels in 8 Minutes
Anthropic has released Channels for Claude Code, enabling external events (CI alerts, production errors, PR comments, Discord/Telegram messages, webhooks, cron jobs, logs, and monitoring signals) to b...
Related Posts

Claude Opus 4.8 Is an Agent Honesty Release
Claude Opus 4.8 looks like a benchmark bump, but the developer story is better honesty, dynamic workflows, and effort co...

Anthropic Sonnet 4.5 in Claude Code
Anthropic's Claude Sonnet 4.5 isn't just another model increment. The company claims they've observed it maintaining foc...

AI Code Attribution Needs Defect Forensics, Not Vibes
The rsync Claude debate shows why teams need reproducible defect forensics before AI attribution becomes a public blame...

Security Agents Need Repro Harnesses, Not More Scan Prompts
Anthropic's open-source vulnerability harness shows where AI security work is going: reproducible exploit loops, separat...

AI Agent Containment Needs a Capability Ledger
Anthropic's Claude containment writeup points to the next security layer for coding agents: deterministic capability led...

The Model, IDE, CLI, and Agent Framework Changes That Actually Matter
The AI coding market is noisy. The changes that matter are easier to spot when you separate model capability, editor loo...
