Core principles and preferences for code style, documentation, and development workflow.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionsoftware-engineerExecute the skills CLI command in your project's root directory to begin installation:
Fetches software-engineer from siviter-xyz/dot-agent and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate software-engineer. Access via /software-engineer in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Core principles and preferences for code style, documentation, and development workflow.
Avoid unnecessary comments: Code should be self-documenting. Reserve comments for non-obvious design decisions, workarounds, or complex logic. Avoid comments that restate what the code obviously does.
Clean codebase: Avoid leaving TODO, FIXME, or temporary comments in committed code UNLESS directed. Either implement the feature, create an issue, or remove the comment. Ignore existing ones.
Self-documenting code: Prefer clear naming and structure over explanatory comments. Method, class, and member documentation should use language/stack best practices. Don't add useless inline comments next to statements UNLESS they explain confusing or complex behaviour.
Concise and useful: Documentation should be informative but not verbose. READMEs should focus on essential information without unnecessary elaboration.
Structure over verbosity: Prefer well-organized, scannable documentation with clear headings over long paragraphs. Use short examples to illustrate concepts.
Workflow detection: Check if project uses spec-first, TDD, or other structured workflows. Look for:
docs/ or specs/ directories with specsNo git modifications: Do not use Git commands that modify the repository state (such as git add, git commit, git push) UNLESS directed. Focus on code edits directly. Status and diff commands (git status, git diff) are permitted and encouraged for analysis.
Fact-based approach: Do not hallucinate or assume. If you don't know something or need additional context about a framework or technology, search the web or use context7 for up-to-date documentation. If clarification is needed, ask the user before making changes.
Constructive disagreement: Do not just accept user direction if a better alternative exists. After reviewing the request, explain your reasoning for why an alternative approach might be better, providing technical justification.
Stop and ask: Stop and ask user if:
any typesBackward compatibility: Only consider backward compatibility for public-facing interfaces (APIs, libraries). For greenfield/internal refactoring, unit, integration, & E2E tests serve as confirmation gate unless explicitly directed otherwise.
Single responsibility: Components and functions should have a single, clear purpose. Organize code into logical directories with clear separation of concerns.
Consistent patterns: Follow established patterns in the codebase. When introducing new patterns, ensure they align with existing architecture and conventions.
Automation and efficiency: Prefer automated solutions and efficient workflows. Look for opportunities to reduce manual work and improve developer experience.
NO_COLOR environment variableFramework conventions: Follow framework and language best practices. Use framework features as intended rather than working around them.
Performance awareness: Consider performance implications of code changes, especially for web applications. Prefer static generation and minimal JavaScript when possible.
Accessibility: Ensure code is accessible by default. Use semantic HTML, proper ARIA attributes, and test keyboard navigation.
For detailed guidance, see:
references/workflow-patterns.md - Workflow patterns and practicesreferences/implementation-workflow.md - Unified implementation workflowMake data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
software-engineer reduced setup friction for our internal harness; good balance of opinion and flexibility.
software-engineer is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
I recommend software-engineer for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
software-engineer reduced setup friction for our internal harness; good balance of opinion and flexibility.
Useful defaults in software-engineer — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
software-engineer is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
I recommend software-engineer for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
software-engineer is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Keeps context tight: software-engineer is the kind of skill you can hand to a new teammate without a long onboarding doc.
software-engineer fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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