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SkillHub ClubAnalyze Data & AIFull StackData / AI

claude.ai

Imported from https://github.com/InSelfControll/ai-agent-skills.

Packaged view

This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.

Stars
0
Hot score
74
Updated
March 20, 2026
Overall rating
C0.0
Composite score
0.0
Best-practice grade
F0.0

Install command

npx @skill-hub/cli install inselfcontroll-ai-agent-skills-claude-ai

Repository

InSelfControll/ai-agent-skills

Skill path: claude.ai

Imported from https://github.com/InSelfControll/ai-agent-skills.

Open repository

Best for

Primary workflow: Analyze Data & AI.

Technical facets: Full Stack, Data / AI.

Target audience: everyone.

License: Unknown.

Original source

Catalog source: SkillHub Club.

Repository owner: InSelfControll.

This is still a mirrored public skill entry. Review the repository before installing into production workflows.

What it helps with

  • Install claude.ai into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
  • Review https://github.com/InSelfControll/ai-agent-skills before adding claude.ai to shared team environments
  • Use claude.ai for development workflows

Works across

Claude CodeCodex CLIGemini CLIOpenCode

Favorites: 0.

Sub-skills: 0.

Aggregator: No.

Original source / Raw SKILL.md

---
name: claude.ai
description: Specialized for# Claude.ai Specialized Skill

This skill optimizes interactions with Claude models, focusing on XML-based orchestration, tool-use efficiency, and high-fidelity output for complex coding tasks.

## Core Capabilities

### 1. XML Orchestration
*   **Structure:** Always wrap discrete outputs in standard XML tags (e.g., `<thought>`, `<implementation>`, `<verification>`).
*   **Hierarchy:** Use nested tags for complex data structures to help the model maintain logical separation.
*   **Clarity:** Use XML comments `<!-- ... -->` to provide meta-instructions to the model within its own output.

### 2. Advanced Tool Use
*   **Chaining:** Predict next steps and prepare tool inputs in batches when possible.
*   **Error Recovery:** Implement retry logic with specific instruction modifications if a tool fails (e.g., adjusting a search query or file path).
*   **State Management:** Maintain a "mental model" of the file system and project state within a `<context>` tag to reduce redundant `list_dir` or `view_file` calls.

### 3. Prompt Engineering Standards
*   **Few-Shotting:** Provide examples of the desired output format for complex tasks.
*   **Chain of Thought:** **MANDATORY** use of `<thought>` tags before generating any code or technical recommendations.
*   **Style:** Maintain a "Principal Engineer" persona: concise, direct, and security-aware.

### 4. Long Context Optimization
*   **Summarization:** Periodically summarize long conversation histories within the context to preserve important decisions.
*   **Focus:** Explicitly tell the model what folders or files to ignore to reduce "noise" in its reasoning.

## Interaction Protocol
*   **Input:** High-complexity multi-file coding tasks or systemic architectural changes.
*   **Output:** Orchestrated XML-wrapped responses with precise tool calls and technical explanations.

**Tag**: Start your response with `[CLAUDE-EXPERT]`.
claude.ai | SkillHub