intelligent-claude-code

🥈Silver

Intelligent Claude Code transforms Claude Code into a multi-agent virtual dev team. It enables autonomous development workflows with AgentTasks, memory-first flows, and guardrails. Ideal for operations teams, it connects to existing codebases and development tools to automate repetitive tasks and enhance productivity.

3630Updated 1mo ago

Intermediate30min to implementautomation

Saves ~180 min per use

Quick InstallView Source

git clone https://github.com/intelligentcode-ai/intelligent-claude-code.git

Works with:

Claude

Overview

About This Skill

How to Use

["Identify the repetitive task or workflow you want to automate (e.g., dependency updates, log parsing, or test suite execution).","Customize the prompt template by replacing [TASK], [PROJECT_NAME], [SPECIFIC_STEPS], [DEV_TOOLS], and [TEST_CRITERIA] with your specific requirements.","Run the prompt in your IDE or terminal with Intelligent Claude Code enabled. Use `claude code --task \"[YOUR_TASK]\"` for direct execution.","Monitor the execution in real-time via the agent dashboard. Review the summary output and address any flagged issues or guardrail triggers.","Iterate by refining the AgentTasks or guardrails based on the output. For complex workflows, break tasks into smaller subtasks and chain them together."]

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/intelligentcode-ai/intelligent-claude-code

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Use Intelligent Claude Code to automate [TASK] in our [PROJECT_NAME] repository. Set up AgentTasks to handle [SPECIFIC_STEPS], ensuring memory-first execution with guardrails for [RISK_AREAS]. Integrate with our [DEV_TOOLS] and validate against [TEST_CRITERIA]. Provide a summary of actions taken and any issues encountered.

Example Output

### Intelligent Claude Code Execution Summary

**Task:** Automate dependency updates for the `backend-services` repository.

**AgentTasks Setup:**
1. **Dependency Scanning:** Deployed a dependency scanner agent to identify outdated packages in `package.json`. Detected 5 outdated dependencies (express@4.17.1 → 4.19.2, axios@0.21.1 → 1.6.7, etc.).
2. **Update Execution:** Initiated a controlled update process with guardrails:
   - Created a feature branch `auto-dep-update-2024-05-15`.
   - Applied updates to 3 non-breaking dependencies (axios, lodash, moment).
   - Skipped 2 breaking changes (express, bcrypt) with automated rollback to previous versions.
3. **Validation:** Ran integration tests via GitHub Actions. All tests passed (42/42), but 3 unit tests failed due to deprecated `express` middleware usage. Agent flagged these for manual review.
4. **Documentation:** Updated `CHANGELOG.md` with version bumps and linked to PR #123.

**Issues Encountered:**
- Breaking change in `express@4.19.2` caused 3 unit test failures. Agent automatically reverted changes and notified the team via Slack.
- Memory-first flow preserved context from previous runs, avoiding redundant scans.

**Next Steps:**
- Manual review required for `express` migration (estimated 2 hours).
- Schedule re-run after fixes are applied.

**Metrics:**
- Time saved: ~4 hours (manual dependency updates).
- Accuracy: 80% (2/5 updates applied automatically).
- Guardrail triggers: 2 (breaking changes detected).