.cursor/skills/intent-discovery/SKILL.md
This skill guides a user to draft and clarify the intent and scope of a change or feature to be implemented. This skill can be used to create user stories, tasks, plans or other artifacts that will be used to implement code changes.
npx skillsauth add usrrname/cursorrules intent-discoveryInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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This workflow uncovers user intent to craft plans for changes or features based on intent and outcomes.
If a user story is created, it should follow the standard format: "As a [role], I want [goal] so that [benefit]"
.cursor/plans/ with the format <plan-title>.md# User Story: [Title]
## Story
As a [role],
I want [goal/feature]
so that [benefit/value]
## Background
[Context and additional information]
## Acceptance Criteria
- [ ] Given [context], when [action], then [result]
## Technical Notes
- Dependencies:
- Architecture considerations:
- Security implications:
- Unknowns
## Related
- Architecture Decision Records: [links]
- Technical Documentation: [links]
- Dependencies: [story links] or Jira links
Checkpoint: the user is asked to review the document progress so far, suggest or provide changes before the agent is to move onto the next step.
## Examples
testing
Test Distribution Analysis Command 🧪
development
Agent rule for refactoring existing code blocks or a feature by identifying language and applying only when refactor/improvement is requested
development
--- name: git-commit-push description: Enforces Git commit standards and conventions when committing and pushing code in Agent Mode. This rule is crucial for keeping track of changes made by agents, and should run whenever the user expresses they want to commit or push code changes made by the agent. This rule should be followed when: 1. the user wants to commit code, the git aliases, 'gpu' or 'gc', 'gcm' were submitted by the user. This rule will ask the user if they would prefer to auto-run th
development
This rule defines the workflow for AI agents to follow when implementing features from user stories, focusing on lean development principles and agile methodologies.