Skip to content
Back to skills

Auto Plan

ASecurity

ALWAYS INVOKE when user asks to plan, create a plan, or needs a development plan - spawns plan-forge agent in background

  • 2 stars
  • 0 votes
  • 0 copies
  • 0 views
  • Added September 27, 2026
ai-agents

Works with

  • claude code
  • mcp

Security analysis

A100/100

Scanned September 27, 2026

npx -y skills add David-Li0406/meta-skill-evloving --skill auto-plan --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Auto Plan?

Add the live security badge to your README. It updates with every re-scan.

Security grade badge for Auto Plan
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/david-li0406-auto-plan/badge)](https://www.skillsdirectory.com/skills/david-li0406-auto-plan)

More formats (shields.io, HTML) on the badges page. Keep it an A: scan every change in CI with Pro.

Download with Pro
SKILL.md
---
name: auto-plan
description: ALWAYS INVOKE when user asks to plan, create a plan, or needs a development plan - spawns plan-forge agent in background
---

# Plan Skill

Automatically detect when users want to create development plans and handle them using the plan-forge MCP server.

## Trigger Patterns

This skill should be invoked when the user's request matches patterns like:

- "plan <task> in the background"
- "create a development plan for <task>"
- "start planning <task>"
- "plan out <task>"
- "make a plan for <task>"
- "I need a plan for <task>"
- "generate a plan for <task>"

## Behavior

When triggered:

1. **Extract the task** from the user's request
2. **Spawn background agent** using the Task tool with `plan-forge` agent and `run_in_background: true`
3. **Acknowledge immediately** - don't wait for planning to complete
4. **Provide status check instructions**

## Response Template

```
I've started a background planning session for: "<task>"

The plan-forge agent is now:
1. Analyzing the codebase
2. Generating a comprehensive development plan
3. Reviewing and refining until quality threshold is met

This typically takes 1-5 iterations (30 seconds to a few minutes).

**Check progress:** `/plan status`
**View results:** `/plan get plan`

I'll continue to be available while planning runs in the background.
```

## Example Interactions

### Example 1: Explicit background request
```
User: Plan adding OAuth authentication in the background

Claude: I've started a background planning session for: "adding OAuth authentication"
        [spawns plan-forge agent with run_in_background: true]
        Check progress with `/plan status`
```

### Example 2: Implicit planning request
```
User: I need a development plan for implementing user roles

Claude: I've started a background planning session for: "implementing user roles"
        [spawns plan-forge agent with run_in_background: true]
        Check progress with `/plan status`
```

### Example 3: Status check follow-up
```
User: How's that plan coming along?

Claude: [calls plan_status via MCP]
        Session: implementing-user-roles
        Status: in_progress
        Iteration: 2 of 5
        Still working on it...
```

## Integration with /plan Command

This skill works alongside the `/plan` slash command:
- Skill: Auto-detects planning intent in natural conversation
- Command: Explicit invocation with `/plan <task>`

Both use the same underlying plan-forge MCP tools and background agent.

## Handling needs_input Response

When you check on a background agent (via TaskOutput) and it returns with `status="needs_input"`:

1. **Store the agentId** for later resume
2. **Present questions clearly** to user:

   "**Planning paused** - the reviewer needs your input:

   {reason from agent response}

   Please provide your answers and I'll continue planning."

3. **When user responds**, resume the same agent:
   ```
   Task tool:
   - prompt: "User provided these answers: {user_response}"
   - subagent_type: plan-forge
   - resume: {stored agentId}
   - run_in_background: true
   ```

This uses Claude Code's resumable subagents feature - the agent continues with full context and remembers what questions it asked.

## Notes

- Always use background execution for new plans
- User can continue conversation while planning runs
- Plans are saved to `dev/active/<slug>/` when complete
- If plan needs human input, agent stops and returns with `needs_input` status
- Use the `resume` parameter to continue the same agent with user's answers

Attribution

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments

Loading comments…