nia-docs

parcadei/continuous-claude-v3 · 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/parcadei/continuous-claude-v3 --skill nia-docs
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summary

Search across 3000+ packages (npm, PyPI, Crates, Go) and indexed sources for documentation and code examples.

skill.md

Nia Documentation Search

Search across 3000+ packages (npm, PyPI, Crates, Go) and indexed sources for documentation and code examples.

Usage

Semantic search in a package

uv run python -m runtime.harness scripts/mcp/nia_docs.py \
  --package fastapi --query "dependency injection"

Search with specific registry

uv run python -m runtime.harness scripts/mcp/nia_docs.py \
  --package react --registry npm --query "hooks patterns"

Grep search for specific patterns

uv run python -m runtime.harness scripts/mcp/nia_docs.py \
  --package sqlalchemy --grep "session.execute"

Universal search across indexed sources

uv run python -m runtime.harness scripts/mcp/nia_docs.py \
  --search "error handling middleware"

Options

Option Description
--package Package name to search in
--registry Registry: npm, py_pi, crates, go_modules (default: npm)
--query Semantic search query
--grep Regex pattern to search
--search Universal search across all indexed sources
--limit Max results (default: 5)

Examples

# Python library usage
uv run python -m runtime.harness scripts/mcp/nia_docs.py \
  --package pydantic --registry py_pi --query "validators"

# React patterns
uv run python -m runtime.harness scripts/mcp/nia_docs.py \
  --package react --query "useEffect cleanup"

# Find specific function usage
uv run python -m runtime.harness scripts/mcp/nia_docs.py \
  --package express --grep "app.use"

Requires NIA_API_KEY in environment or nia server in mcp_config.json.

how to use nia-docs

How to use nia-docs 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 nia-docs
2

Execute installation command

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

$npx skills add https://github.com/parcadei/continuous-claude-v3 --skill nia-docs

The skills CLI fetches nia-docs from GitHub repository parcadei/continuous-claude-v3 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/nia-docs

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

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.661 reviews
  • Sophia Yang· Dec 24, 2024

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

  • Shikha Mishra· Dec 20, 2024

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

  • Ishan Taylor· Dec 20, 2024

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

  • Ganesh Mohane· Dec 16, 2024

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

  • Aarav Ndlovu· Nov 23, 2024

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

  • Naina Chawla· Nov 19, 2024

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

  • Sophia Chen· Nov 15, 2024

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

  • William Thomas· Nov 15, 2024

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

  • Yash Thakker· Nov 11, 2024

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

  • Olivia Choi· Nov 11, 2024

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

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