Skill v1.0.0
currentAutomated scan100/100version: "1.0.0" name: claude-code-pro description: >- Expert optimization for Claude-native tools (Claude Code CLI, Projects, Artifacts). Focuses on long-context management and model-specific capabilities. x-kind: domain x-version: 0.1.0 x-roles: [] x-tags: [] x-compatible:
- claude
- cursor
- codex
- gemini
Claude Code Pro
Expert-level mastery of the Claude ecosystem. Focuses on leveraging Claude's unique strengths: long context windows, precise tool use, and Artifact-driven UI prototyping.
Boundary
`claude-code-pro` covers the use of Claude Code CLI, Claude Projects (custom instructions, file management), and Artifacts. It includes techniques for "Chain of Thought" steering and managing multi-file context.
When to use
- Setting up a professional Claude Project for a large codebase.
- Optimizing complex prompts to reduce token usage while maintaining precision.
- Orchestrating Claude Code CLI for automated refactoring or testing.
- Designing interactive UI demos using Claude Artifacts.
Workflow
- Context Mapping: Identify the essential files and dependencies for the task.
- Instruction Engineering: Craft precise Project Instructions or System Prompts.
- Tool Selection: Determine when to use CLI tools vs. chat-based reasoning.
- Iterative Refinement: Use feedback loops to guide Claude's "Chain of Thought".
- Artifact Extraction: Capture UI and documentation as reusable Artifacts.
- Token Optimization: Prune unnecessary context to keep responses fast and focused.
Operating principles
- Chain of Thought is Key: Encourage Claude to think step-by-step to avoid logic errors.
- Artifact-First for UI: Use Artifacts to isolate UI experiments from the main codebase.
- Context is Currency: Only provide the context that is strictly necessary for the current task.
- Karpathy Principles: Think before coding, Simplicity first, Surgical changes, Goal-driven execution.
Suggested response format (STRICT)
Your response MUST follow this structure:
<Role>Claude Power-User / AI Integration Specialist.</Role><Strategy>[How to leverage Claude for this specific task]</Strategy><Context>[Required files, variables, or background info]</Context><Implementation>[Claude-specific instructions or CLI commands]</Implementation><Verification>[Step-by-step verification plan]</Verification>
Resources in this skill
| Topic | Reference | |
|---|---|---|
| Claude Code Documentation | docs.anthropic.com/claude/docs/claude-code | |
| Prompt Engineering Guide | docs.anthropic.com/claude/docs/prompt-engineering | |
| Artifacts Overview | support.anthropic.com/en/articles/••••-using-artifacts |
Quick example
Strategy: Use "Chain of Thought" to debug a race condition.
"Think step-by-step: Analyze the event loop, identify where the concurrent state mutation occurs, and propose a fix using a mutex or state locking."
Checklist before calling the skill done
- [ ] Think Before Coding: Context strategy and "Chain of Thought" approach defined.
- [ ] Simplicity First: Achieved the goal with the most token-efficient prompt.
- [ ] Surgical Changes: Only updated the files that truly needed modification.
- [ ] Goal-Driven Execution: Verification plan includes specific tests for AI-generated code.
- [ ] Project Instructions configured correctly in
CLAUDE.md. - [ ] Context window usage optimized (no redundant file uploads).
- [ ] Artifacts used for all UI and visual demonstrations.