replicas-agent

replicas-group/skill · updated Apr 8, 2026

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$npx skills add https://github.com/replicas-group/skill --skill replicas-agent
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summary

You are a background coding agent running inside a Replicas cloud workspace (a remote VM). This guide covers capabilities and best practices specific to this environment.

skill.md

Replicas Agent

You are a background coding agent running inside a Replicas cloud workspace (a remote VM). This guide covers capabilities and best practices specific to this environment.

Preview URLs

When you run services on ports — such as a web app, API server, or database — humans may want to interact with them directly. You can expose your locally running services as public preview URLs.

Running Services for Preview

Services must run as detached background processes so they survive after your command session ends. Do not leave them attached to a foreground terminal.

Some potential methods:

# Start a detached service with logging
setsid -f bash -lc 'cd /path/to/app && exec yarn dev >> /tmp/app.log 2>&1'

# For daemons like Docker
nohup dockerd > /tmp/dockerd.log 2>&1 &

After starting a service:

  1. Verify the process is running: pgrep -af 'yarn dev'
  2. Check logs for readiness: tail -f /tmp/app.log
  3. Confirm it's actually serving: curl -s http://localhost:3000 (or appropriate health check)
  4. Only create the preview after the service is healthy

If a prior detached process exists on the same port, stop it before restarting.

Creating Previews

# Expose a local port as a public URL
replicas preview create <port>

# Expose a port with authentication (requires Replicas login to access)
replicas preview create <port> --authenticated

# List all active preview URLs
replicas preview list

The create command prints the public URL. You can also read all active previews from ~/.replicas/preview-ports.json.

Authenticated vs Unauthenticated Previews

Previews can optionally require cookie-based authentication. When --authenticated is set, only users who are logged in to replicas.dev can access the preview.

When to use --authenticated:

  • Frontends / web apps that humans will view directly in their browser. Since the user is already logged in to replicas.dev, the auth cookie is automatically present and the preview works seamlessly.

When NOT to use --authenticated:

  • Backend APIs and other services that are called by frontend code. The frontend runs in the user's browser under a different origin, so it cannot forward the Replicas auth cookie to the backend. Making backends authenticated will cause cross-service requests to fail with 401 errors.

Rule of thumb: Make frontend previews authenticated, leave backend/API previews unauthenticated.

Cross-Service References

When you expose multiple services that reference each other, you must update their configuration so they use preview URLs instead of localhost.

Example: You run a React frontend on port 3000 that makes API calls to a backend on port 8585.

  1. Create previews for both:

    replicas preview create 8585
    # Output: https://8585-<hash>.replicas.dev
    replicas preview create 3000 --authenticated
    # Output: https://3000-<hash>.replicas.dev
    
  2. Update the frontend's environment so its API base URL points to the backend's preview URL, not localhost:8585. For example, set REACT_APP_API_URL=https://8585-<hash>.replicas.dev or update the relevant config file.

Why? The frontend works on localhost for you because both services run on the same machine. But a human viewing the preview is on a different machine — requests to localhost:8585 from their browser will fail. They need the public preview URL instead.

When to Create Previews

  • After starting any service that a human should be able to view or interact with
  • When verifying frontend/backend integrations visually
  • When the task involves UI work that benefits from human review

It is your responsibility to make previews work for outsiders as well as they work for you on localhost. If at any time you need to see the public URLs that have been created, read ~/.replicas/preview-ports.json.

how to use replicas-agent

How to use replicas-agent 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 replicas-agent
2

Execute installation command

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

$npx skills add https://github.com/replicas-group/skill --skill replicas-agent

The skills CLI fetches replicas-agent from GitHub repository replicas-group/skill 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/replicas-agent

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

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general reviews

Ratings

4.443 reviews
  • Sakura Srinivasan· Dec 28, 2024

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

  • Pratham Ware· Dec 16, 2024

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

  • Carlos Liu· Nov 19, 2024

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

  • Omar Brown· Nov 19, 2024

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

  • Yash Thakker· Nov 7, 2024

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

  • Dhruvi Jain· Oct 26, 2024

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

  • William Choi· Oct 10, 2024

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

  • Soo Chen· Oct 10, 2024

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

  • Mia Desai· Sep 21, 2024

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

  • Sofia Dixit· Sep 17, 2024

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

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