# DevPlan

> Use this tool when you need to create structured and executable development plans, addressing AI coding challenges like context loss and inconsistent output. DevPlan provides a comprehensive set of 18 tools to guide planning, generation, execution, and remediation, maintaining project context across sessions. It is ideal for AI-powered coding projects that require organized and consistent development workflows.

Canonical page: https://skillsregistry.net/skills/mmorris35-devplan  
JSON: https://api.skillsregistry.net/v1/skills/mmorris35-devplan

## Description

Implements the ClaudeCode-DevPlanBuilder methodology to create executable development plans. Provides 18 tools organized into planning (interview guidance, brief creation), generation (plan scaffolding, agent creation), execution (validation, task tracking), lessons learned (feedback capture), and issue remediation (GitHub issue parsing). Addresses AI coding challenges like context loss and inconsistent output by maintaining structured project context across sessions.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/mmorris35-devplan)
- **Repository:** <https://github.com/mmorris35/devplan-mcp-server>

## 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": "mmorris35-devplan"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mmorris35-devplan` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mmorris35-devplan/pull`

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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