The Core Distinction
Use skills when you need repeatable team workflows and MCP when the agent must touch live APIs — most 2026 setups use both. Skills are cheap procedural memory (SKILL.md); MCP is the standard bridge to GitHub, databases, and SaaS tools.
The HN debate in 2026 settled on hybrid: neither layer alone replaces the other.
Skills — Procedural Memory
What: Markdown playbooks with frontmatter, stored in repo or installed via npx skills add.
Best for:
- Code review checklists
- Release and deploy runbooks
- SEO/content formatting rules
- Security rules ("never commit .env")
Limits: Cannot call APIs without MCP, CLI, or Bash tools.
MCP — System Connectors
What: Standardized tool/resource servers.
Best for:
- OAuth to SaaS (GitHub, Linear, Figma)
- Database queries with scoped creds
- Browser automation
- Live metrics (Sentry, Datadog)
Limits: Token bloat if you connect too many servers; schema maintenance.
Decision Matrix
| Need | Use |
|---|---|
| "Review PRs our way" | Skill |
| "Open the PR on GitHub" | MCP or gh CLI |
| "Audit blog SEO weekly" | Skill + GSC MCP |
| "Post to LinkedIn" | MCP or Postnify skill + CLI |
| "Remember our TypeScript conventions" | CLAUDE.md + skills |
Hybrid Pattern (Recommended)
- CLAUDE.md — always-on project facts (stack, commands, boundaries) — keep under 200 lines
- Skills — task-specific playbooks loaded on demand
- MCP (3–5 servers) — live integrations with compact responses
- Bash/CLI — token-efficient alternative for read-heavy ops
MCP Skills Extension
The MCP working group standardizes serving SKILL.md over MCP (skill:// resources) so one package distributes procedures + tools to Claude Code, Cursor, and Copilot alike.
Deep dives: Skills guide · MCP explainer · Token bloat fixes.
Keep Reading
- LLM Token Optimization in 2026 — model routing, caching, MCP audit
- Claude Code Complete Setup Guide — install, CLAUDE.md, MCP, skills
- Claude Code vs Cursor: Token Cost (2026) — dollar math on identical tasks
- AI Model Sprint — June 2026 — frontier model benchmarks
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