deps-dev

trancong12102/agentskills · updated Apr 8, 2026

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$npx skills add https://github.com/trancong12102/agentskills --skill deps-dev
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summary

Query the deps.dev API to get the latest stable version of open-source packages. This is faster and more reliable than searching the web or guessing version numbers, and it catches deprecated packages before you install them.

skill.md

Latest Package Version Lookup

Query the deps.dev API to get the latest stable version of open-source packages. This is faster and more reliable than searching the web or guessing version numbers, and it catches deprecated packages before you install them.

Supported Ecosystems

Ecosystem System ID Example Package
npm npm express, @types/node
PyPI pypi requests, django
Go go github.com/gin-gonic/gin
Cargo cargo serde, tokio
Maven maven org.springframework:spring-core
NuGet nuget Newtonsoft.Json

When to Use

  • Adding a new dependency and need the current version
  • Updating package.json, requirements.txt, Cargo.toml, etc. to latest
  • Checking whether a package has been deprecated
  • Comparing versions across multiple packages at once

When NOT to Use

  • Private or internal packages (deps.dev only indexes public registries)
  • Looking up documentation or usage examples (use context7 instead)

Workflow

DO NOT read script source code. Run scripts directly and use --help for usage.

  1. Identify the ecosystem from project files:

    • package.json or node_modules → npm
    • requirements.txt, pyproject.toml, setup.py → pypi
    • go.mod, go.sum → go
    • Cargo.toml → cargo
    • pom.xml, build.gradle → maven
    • *.csproj, packages.config → nuget
  2. Run the script:

python3 scripts/get-versions.py <system> <pkg1> [pkg2] ...

Run python3 scripts/get-versions.py --help if unsure about usage.

Examples

python3 scripts/get-versions.py npm express lodash @types/node
python3 scripts/get-versions.py pypi requests django flask
python3 scripts/get-versions.py go github.com/gin-gonic/gin

Output Format

TSV with header. One line per package:

package version published status
express 5.0.0 2024-09-10 ok
lodash 4.17.21 2021-02-20 ok

Status values: ok, deprecated, not found, error: <detail>.

Rules

  • Use the script instead of manual curl — it handles URL encoding (especially for scoped npm packages like @types/node) and fetches multiple packages in parallel, so it's both easier and faster.
  • Flag deprecated packages — if the status column says deprecated, tell the user and suggest an alternative if you know one.
  • Batch lookups when possible — the script accepts multiple package names in one call, which is faster than running it once per package.
how to use deps-dev

How to use deps-dev 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 deps-dev
2

Execute installation command

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

$npx skills add https://github.com/trancong12102/agentskills --skill deps-dev

The skills CLI fetches deps-dev from GitHub repository trancong12102/agentskills 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/deps-dev

Reload or restart Cursor to activate deps-dev. Access the skill through slash commands (e.g., /deps-dev) 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

GET_STARTED →

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)
  • No comments yet — start the thread.
general reviews

Ratings

4.534 reviews
  • Chaitanya Patil· Dec 24, 2024

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

  • Hana Gill· Dec 20, 2024

    deps-dev has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Dev Kapoor· Dec 12, 2024

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

  • Valentina Torres· Dec 8, 2024

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

  • William Wang· Nov 27, 2024

    deps-dev has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Piyush G· Nov 15, 2024

    deps-dev has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Chinedu Park· Nov 11, 2024

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

  • Hana Ghosh· Nov 3, 2024

    Solid pick for teams standardizing on skills: deps-dev is focused, and the summary matches what you get after install.

  • Arya Choi· Oct 22, 2024

    deps-dev has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Valentina Jain· Oct 18, 2024

    Solid pick for teams standardizing on skills: deps-dev is focused, and the summary matches what you get after install.

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