À propos de ce Skill
These sample Skills accompany the Learn Claude Code repository’s agent-harness lessons. They demonstrate reusable task instructions and supporting examples; they are community teaching material rather than an official Anthropic product.
Pourquoi ce choix
Useful for learning how task instructions fit into an agent harness. The small examples make it easier to inspect the prompt, dependencies and expected output before adapting one to a real project.
Skills de cette collection
4 skills- Voir →
Learn Claude Code Skills: Agent Builder
Design agents around capabilities, domain knowledge, context and progressively added complexity.
- Voir →
Learn Claude Code Skills: Code Review
Review code for security, correctness, performance, maintainability and testing gaps.
- Voir →
Learn Claude Code Skills: MCP Server Builder
Learn to build Python or TypeScript MCP servers with tools, resources and service integrations.
- Voir →
Learn Claude Code Skills: PDF Processing
Use common PDF utilities and Python libraries to read, create, split and merge documents.
À quoi il sert
- Four learning-oriented Skills for agent design, code review, MCP servers and PDF processing.
Setup and use
The clone retrieves the course and skills/ directory. Open a chosen SKILL.md in your agent, or place its whole folder in the host’s documented Skills directory; cloning alone does not register it globally.
| Commande | À quoi elle sert |
|---|---|
git clone https://github.com/shareAI-lab/learn-claude-code.git | Get the upstream package or workspace using the documented setup route. |
Avant de l’utiliser
- Read the selected Skill and preserve its supporting resources. The course’s executable agent examples require their own Python dependencies and configured model access.
Agents compatibles
Sources et références
Les sources originales sont liées ci-dessous. Les pistes pratiques sont des suggestions de la rédaction de SkillHey.