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OpenxIntelligenceOpenxIntelligence/Coding-Agent-Skills/feature-planning/SKILL.md

feature-planning

Skill4 starsChanged 25 days agoMITView on GitHub

Break down feature requests into detailed, implementable plans with clear tasks. Use when user requests a new feature, enhancement, or complex change.

10 other projects use a version of this.

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The file

We split this skill into the rules it gives an agent

6 rules. 0 are common, 5 are distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 8 edited versions we read keep these.

  • 5

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Use Task tool with subagent_type='Explore' and thoroughness='medium' to understand:

    line 29
  2. Distinctive:

    Follow existing patterns (check CLAUDE.md)

    line 45
  3. Distinctive:

    Verify each task before next

    line 118
  4. Distinctive:

    Start broad, then specific

    line 126
  5. Distinctive:

    Keep tasks focused and atomic

    line 130
  6. Distinctive:

    Verify before moving forward

    line 140

“Common” is measured: kept by at least 6 in 10 of the 8 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Feature Planning

Systematically analyze feature requests and create detailed, actionable implementation plans.

When to Use

  • Requests new feature ("add user authentication", "build dashboard")
  • Asks for enhancements ("improve performance", "add export")
  • Describes complex multi-step changes
  • Explicitly asks for planning ("plan how to implement X")
  • Provides vague requirements needing clarification

Planning Workflow

1. Understand Requirements

Ask clarifying questions:

  • What problem does this solve?
  • Who are the users?
  • Specific technical constraints?
  • What does success look like?

Explore the codebase: Use Task tool with subagent_type='Explore' and thoroughness='medium' to understand:

  • Existing architecture and patterns
  • Similar features to reference
  • Where new code should live
  • What will be affected

2. Analyze & Design

Identify components:

  • Database changes (models, migrations, schemas)
  • Backend logic (API endpoints, business logic, services)
  • Frontend changes (UI, state, routing)
  • Testing requirements
  • Documentation updates

Consider architecture:

  • Follow existing patterns (check CLAUDE.md)
  • Identify reusable components
  • Plan error handling and edge cases
  • Consider performance implications
  • Think about security and validation

Check dependencies:

  • New packages/libraries needed
  • Compatibility with existing stack
  • Configuration changes required

3. Create Implementation Plan

Break feature into discrete, sequential tasks:

## Feature: [Feature Name]

### Overview
[Brief description of what will be built and why]

### Architecture Decisions
- [Key decision 1 and rationale]
- [Key decision 2 and rationale]

### Implementation Tasks

#### Task 1: [Component Name]
- **File**: `path/to/file.py:123`
- **Description**: [What needs to be done]
- **Details**:
  - [Specific requirement 1]
  - [Specific requirement 2]
- **Dependencies**: None (or list task numbers)

#### Task 2: [Component Name]
...

### Testing Strategy
- [What types of tests needed]
- [Critical test cases to cover]

### Integration Points
- [How this connects with existing code]
- [Potential impacts on other features]

Include specific references:

  • File paths with line numbers (src/utils/auth.py:45)
  • Existing patterns to follow
  • Relevant documentation

4. Review Plan with User

Confirm:

  • Does this match expectations?
  • Missing requirements?
  • Adjust priorities or approach?
  • Ready to proceed?

5. Execute with plan-implementer

Launch plan-implementer agent for each task:

Task tool with:
- subagent_type: 'plan-implementer'
- description: 'Implement [task name]'
- prompt: Detailed task description from plan

Execution strategy:

  • Implement sequentially (respect dependencies)
  • Verify each task before next
  • Adjust plan if issues discovered
  • Let test-fixing skill handle failures
  • Let git-pushing skill handle commits

Best Practices

Planning:

  • Start broad, then specific
  • Reference existing code patterns
  • Include file paths and line numbers
  • Think through edge cases upfront
  • Keep tasks focused and atomic

Communication:

  • Explain architectural decisions
  • Highlight trade-offs and alternatives
  • Be explicit about assumptions
  • Provide context for future maintainers

Execution:

  • Implement one task at a time
  • Verify before moving forward
  • Keep user informed
  • Adapt based on discoveries

Integration

  • plan-implementer agent: Receives task specs, implements
  • test-fixing skill: Auto-triggered on test failures
  • git-pushing skill: Triggered for commits

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