software-engineer

siviter-xyz/dot-agent · updated Apr 8, 2026

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$npx skills add https://github.com/siviter-xyz/dot-agent --skill software-engineer
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summary

Core principles and preferences for code style, documentation, and development workflow.

skill.md

Software Engineering Principles

Core principles and preferences for code style, documentation, and development workflow.

Code Style and Patterns

  • 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.

Documentation

  • 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.

Development Workflow

  • Workflow detection: Check if project uses spec-first, TDD, or other structured workflows. Look for:

    • docs/ or specs/ directories with specs
    • Test-first patterns in codebase
    • Plan files or structured documentation
    • Follow existing workflow patterns when present
  • No 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:

    • Uncertain how to proceed
    • About to add type ignores, suppressions, or any types
    • Requirements are unclear
    • Better approach exists but needs confirmation
  • Backward 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.

Code Organization

  • 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.

Output Formatting

  • No emojis: Do not use emojis in code or output unless explicitly directed
  • Unicode symbols: Unicode symbols (✓, ✗, →, ⚠) are acceptable for user-facing output
  • Color and formatting: Color and formatting encouraged for user-facing output
  • NO_COLOR support: Always respect NO_COLOR environment variable
  • No hardcoded ANSI: Never use hardcoded ANSI color codes - use color libraries (chalk, colors, etc.)

Best Practices

  • Framework 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.

References

For detailed guidance, see:

  • references/workflow-patterns.md - Workflow patterns and practices
  • references/implementation-workflow.md - Unified implementation workflow
how to use software-engineer

How to use software-engineer on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add software-engineer
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/siviter-xyz/dot-agent --skill software-engineer

The skills CLI fetches software-engineer from GitHub repository siviter-xyz/dot-agent and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/software-engineer

Reload or restart Cursor to activate software-engineer. Access the skill through slash commands (e.g., /software-engineer) or your agent's skill management interface.

Security & Verification Notice

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 development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

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Use Cases

User Story & Requirements Generation

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

Competitive Analysis

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

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

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

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ 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.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.731 reviews
  • Hana Sharma· Dec 24, 2024

    software-engineer reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Min Choi· Dec 20, 2024

    software-engineer is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Dhruvi Jain· Dec 16, 2024

    I recommend software-engineer for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Arjun Choi· Nov 11, 2024

    software-engineer reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Oshnikdeep· Nov 7, 2024

    Useful defaults in software-engineer — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Ganesh Mohane· Oct 26, 2024

    software-engineer is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Xiao Srinivasan· Oct 2, 2024

    I recommend software-engineer for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Arjun Sethi· Sep 21, 2024

    software-engineer is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Sakshi Patil· Sep 5, 2024

    Keeps context tight: software-engineer is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Rahul Santra· Sep 5, 2024

    software-engineer fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

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