Continuous-Claude-v3

🥇Gold

Continuous-Claude-v3 enables persistent, multi-agent development environments using Claude Code. It maintains state via ledgers and handoffs, preventing context pollution during MCP execution. Ideal for operations teams automating complex workflows.

3,6962660Updated 2d ago

Intermediate30min to implementautomation

Saves ~240 min per use

Quick InstallView Source

git clone https://github.com/parcadei/Continuous-Claude-v3.git

Works with:

Claude

Overview

About This Skill

https://github.com/parcadei/Continuous-Claude-v3

How to Use

[{"step":"Define the project scope and team roles. Use the prompt template to specify [PROJECT_NAME], [TEAM_MEMBERS], and the workflow tasks ([TASK_1], [TASK_2], etc.).","tip":"Use actual team member names or roles (e.g., 'backend-lead') to ensure accountability. Include 3-5 tasks to balance specificity and flexibility."},{"step":"Set up the ledger and handoff protocols. Specify the state file location, retention policy, and encryption method in [PARAMETERS]. Define clear success criteria and handoff triggers for each task.","tip":"For handoff triggers, use tools like Slack channels, GitHub tags, or CI/CD pipelines. Avoid vague criteria like 'when ready'—instead, use measurable conditions (e.g., 'all tests pass')."},{"step":"Initialize the environment and monitor the ledger. Run the initialized environment and observe the state updates in real-time. Use the ledger to track decisions, errors, and handoffs.","tip":"For debugging, query the ledger with `cat /var/log/aurora/ledger.json | jq '.agents[].status'` to check agent states. Use `grep` to filter entries by timestamp or agent."},{"step":"Iterate and refine. After each workflow cycle, review the ledger for bottlenecks or context pollution. Adjust handoff protocols or success criteria based on the ledger’s historical data.","tip":"Use the ledger’s retention policy to archive old data monthly. For complex workflows, enable weekly snapshots to compare state changes over time."}]

Use Cases

Automate the debugging process by activating relevant skills and agents based on natural language prompts.

Maintain context across multiple coding sessions to enhance productivity and reduce token usage.

Utilize the memory system to recall past learnings and improve the quality of code suggestions.

Orchestrate complex workflows involving multiple agents to streamline development tasks.

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/parcadei/Continuous-Claude-v3

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

Initialize a Continuous-Claude-v3 environment for [PROJECT_NAME] with [TEAM_MEMBERS]. Set up a persistent ledger to track state changes during [WORKFLOW_NAME]. Define handoff protocols for [TASK_1], [TASK_2], and [TASK_3]. Ensure context is preserved between agent transitions and log all decisions to the ledger. Start the environment with these parameters: [PARAMETERS].

Example Output

Continuous-Claude-v3 environment initialized for **Project Aurora** with team members: Alex (DevOps), Priya (Backend), and Jordan (QA).

**Ledger Setup:**
- State file: `/var/log/aurora/ledger.json`
- Retention policy: 30 days with weekly snapshots
- Encryption: AES-256 with team-shared key

**Handoff Protocols Configured:**
1. **Task: Deploy API Gateway**
   - Owner: Alex
   - Prerequisites: Terraform plan approved by Priya
   - Success criteria: Gateway returns 200 for `/health`
   - Handoff trigger: Priya’s approval in Slack channel #aurora-deploy

2. **Task: Run Integration Tests**
   - Owner: Jordan
   - Prerequisites: API Gateway deployed by Alex
   - Success criteria: 99% test coverage, no critical failures
   - Handoff trigger: Jordan’s `test-complete` tag in GitHub

3. **Task: Rollback Decision**
   - Owner: Priya (final authority)
   - Triggers: If Jordan’s tests fail or Alex’s deployment stalls
   - Action: Execute `rollback.sh` script with version tag from ledger

**Current State:**
```json
{
  "project": "Aurora",
  "phase": "deployment",
  "agents": {
    "alex": { "status": "ready", "last_action": "terraform init" },
    "priya": { "status": "idle", "last_review": "2024-05-15T14:30:00Z" },
    "jordan": { "status": "pending", "blocked_by": "alex" }
  },
  "ledger_entries": [
    {"timestamp": "2024-05-15T14:00:00Z", "agent": "alex", "action": "terraform plan", "status": "approved"},
    {"timestamp": "2024-05-15T14:15:00Z", "agent": "priya", "action": "review plan", "status": "approved"}
  ]
}
```

**Next Steps:**
- Alex: Run `terraform apply` and notify Priya in #aurora-deploy
- Priya: Monitor deployment and approve Jordan’s test run
- Jordan: Execute tests post-deployment and tag success/failure in GitHub

**Context Preservation:**
All agents retain the ledger state (e.g., last approved plan version: `v1.2.3`). Context is scrubbed of irrelevant data (e.g., prior failed attempts in Q1) to prevent pollution.