skill-downloader

nicepkg/ai-workflow · updated Apr 8, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills add https://github.com/nicepkg/ai-workflow --skill skill-downloader
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summary

Download and install Claude Code skills from multiple sources.

skill.md

Skill Downloader

Download and install Claude Code skills from multiple sources.

Supported Sources

Source Type Examples
GitHub Repository https://github.com/user/repo, github.com/user/repo
Compressed Archive .zip, .tar.gz, .tgz, .skill (renamed zip)
Direct URL URL pointing to archive or skill folder

Usage

Download from GitHub

python scripts/download_from_github.py <repo-url> <skill-path> --output <target-dir>

Examples:

# Official Anthropic skills
python scripts/download_from_github.py https://github.com/anthropics/skills skills/docx --output ./.claude/skills/

# Community skills (root level)
python scripts/download_from_github.py https://github.com/gked2121/claude-skills social-repurposer --output ./.claude/skills/

# Nested skill path
python scripts/download_from_github.py https://github.com/MadAppGang/claude-code skills/content-brief --output ./.claude/skills/

Download from Archive

python scripts/download_from_archive.py <url-or-path> --output <target-dir>

Examples:

# From URL
python scripts/download_from_archive.py https://example.com/skills/my-skill.zip --output ./.claude/skills/

# From local file
python scripts/download_from_archive.py ./downloads/my-skill.tar.gz --output ./.claude/skills/

# .skill files (renamed zip)
python scripts/download_from_archive.py https://skillhub.club/download/awesome-skill.skill --output ./.claude/skills/

Unified Download Command

python scripts/download_skill.py <source> --output <target-dir>

Automatically detects source type:

  • GitHub URL → Uses git sparse checkout
  • Archive URL/path → Downloads and extracts
  • Directory path → Copies directly

Examples:

# Auto-detect GitHub
python scripts/download_skill.py https://github.com/anthropics/skills/tree/main/skills/docx --output ./.claude/skills/

# Auto-detect archive
python scripts/download_skill.py https://example.com/my-skill.zip --output ./.claude/skills/

Validation

All download methods validate:

  1. Skill folder contains SKILL.md
  2. SKILL.md has valid YAML frontmatter with name and description
  3. No malicious content patterns detected

Output Structure

Downloaded skills are placed in:

<output-dir>/
└── <skill-name>/
    ├── SKILL.md        # Required
    ├── scripts/        # Optional
    └── ...

Error Handling

Error Cause Solution
Skill already exists Target directory exists Use --force to overwrite
SKILL.md not found Invalid skill package Verify source contains SKILL.md
Invalid archive Corrupted or unsupported format Check file integrity
Network error Download failed Retry or check URL

Integration with Workflow Creator

When used with workflow-creator, download skills to workflow's .claude/skills/ directory:

# Create workflow first
python /path/to/workflow-creator/scripts/create_workflow.py my-workflow --path ./workflows

# Then download skills
python scripts/download_skill.py https://github.com/anthropics/skills/tree/main/skills/docx --output ./workflows/my-workflow/.claude/skills/

Skill Sources Reference

Popular skill repositories:

how to use skill-downloader

How to use skill-downloader 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 skill-downloader
2

Execute installation command

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

$npx skills add https://github.com/nicepkg/ai-workflow --skill skill-downloader

The skills CLI fetches skill-downloader from GitHub repository nicepkg/ai-workflow 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/skill-downloader

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

Ratings

4.462 reviews
  • Valentina Mehta· Dec 28, 2024

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

  • Chinedu Li· Dec 24, 2024

    We added skill-downloader from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Mia Shah· Dec 24, 2024

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

  • Xiao Thompson· Dec 24, 2024

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

  • Valentina Kapoor· Dec 20, 2024

    Registry listing for skill-downloader matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Chinedu Jain· Dec 12, 2024

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

  • Dhruvi Jain· Dec 4, 2024

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

  • Diego Menon· Nov 19, 2024

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

  • Chinedu Sharma· Nov 15, 2024

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

  • Valentina Malhotra· Nov 11, 2024

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

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