onboard

parcadei/continuous-claude-v3 · updated Apr 8, 2026

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

Analyze a brownfield codebase and create an initial continuity ledger.

skill.md

Onboard - Project Discovery & Ledger Creation

Analyze a brownfield codebase and create an initial continuity ledger.

When to Use

  • First time working in an existing project
  • User says "onboard", "analyze this project", "get familiar with codebase"

How to Use

Spawn the onboard agent:

Use the Task tool with subagent_type: "onboard" and this prompt:

Onboard me to this project at $CLAUDE_PROJECT_DIR.

1. Create required directories if they don't exist:
   mkdir -p thoughts/shared/handoffs/<project-name> .claude

2. Explore the codebase using available tools:
   - Try: tldr tree . && tldr structure .
   - Fallback: find . -type f -name "*.py" -o -name "*.ts" -o -name "*.js" | head -50

3. Detect tech stack (look for package.json, requirements.txt, Cargo.toml, go.mod, etc.)

4. Ask the user about their goals using AskUserQuestion

5. Create a YAML handoff at thoughts/shared/handoffs/<project-name>/onboard-<date>.yaml:
   ---
   date: <ISO date>
   type: onboard
   status: active
   ---
   goal: <user's stated goal>
   now: Start working on <first priority>
   tech_stack: [list of detected technologies]
   key_files:
     - path: <important file>
       purpose: <what it does>
   architecture: <brief description>
   next:
     - <suggested first action>

Why an Agent?

The onboard process:

  • Requires multiple exploration steps
  • Should not pollute main context with codebase dumps
  • Returns a clean summary + creates the handoff

Output

  • Directories created: thoughts/shared/handoffs/<project>/, .claude/
  • YAML handoff created (loaded automatically on session start)
  • User has clear starting context
  • Ready to begin work with full project awareness

Notes

  • This skill is for BROWNFIELD projects (existing code)
  • For greenfield, use /create_plan instead
  • Handoff can be updated anytime with /create_handoff
how to use onboard

How to use onboard 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 onboard
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 onboard

The skills CLI fetches onboard 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/onboard

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

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

Ratings

4.653 reviews
  • Ama Abbas· Dec 24, 2024

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

  • Liam Dixit· Dec 20, 2024

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

  • Liam Gill· Dec 20, 2024

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

  • Ganesh Mohane· Dec 16, 2024

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

  • Zara Jackson· Dec 4, 2024

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

  • Ava Zhang· Nov 23, 2024

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

  • Fatima Robinson· Nov 23, 2024

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

  • Arjun Gupta· Nov 15, 2024

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

  • Olivia Menon· Nov 11, 2024

    onboard reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Zara Thomas· Nov 11, 2024

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

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