# phaseops

> phaseops — agentxworks-phaseops. Use this tool when you need to streamline AI coding workflows with phase-based planning and human oversight. It solves problems of uncontrolled AI coding by introducing checkpoints and resumable states, ensuring more reliable and efficient development processes. With phaseops, inputs include AI coding tasks and outputs include managed workflows, compatible with Claude Code, Cursor, and Codex, and integrated with git.

Canonical page: https://skillsregistry.net/skills/agentxworks-phaseops  
JSON: https://api.skillsregistry.net/v1/skills/agentxworks-phaseops

## Description

Make your AI coding agent plan before it builds. Phase-based workflows, human checkpoints, and resumable state for Claude Code, Cursor, and Codex.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/agentxworks/phaseops)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "agentxworks-phaseops"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/agentxworks-phaseops` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/agentxworks-phaseops/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt