dogfood

callstackincubator/agent-device · updated Apr 8, 2026

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$npx skills add https://github.com/callstackincubator/agent-device --skill dogfood
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summary

Systematically explore a mobile app, find issues, and produce a report with full reproduction evidence for every finding.

skill.md

Dogfood (agent-device)

Systematically explore a mobile app, find issues, and produce a report with full reproduction evidence for every finding.

Setup

Only the Target app is required. Everything else has sensible defaults.

Parameter Default Example override
Target app (required) Settings, com.example.app, deep link URL
Platform Infer from user context; otherwise ask (ios or android) --platform ios
Session name Slugified app/platform (for example settings-ios) --session my-session
Output directory ./dogfood-output/ Output directory: /tmp/mobile-qa
Scope Full app Focus on onboarding and profile
Authentication None Sign in to [email protected]

If the user gives enough context to start, begin immediately with defaults. Ask follow-up only when a required detail is missing (for example platform or credentials).

Prefer direct agent-device binary when available.

Workflow

1. Initialize    Set up session, output dirs, report file
2. Launch/Auth   Open app and sign in if needed
3. Orient        Capture initial snapshot and map navigation
4. Explore       Systematically test flows and states
5. Document      Record reproducible evidence per issue
6. Wrap up       Reconcile summary, close session

1. Initialize

mkdir -p {OUTPUT_DIR}/screenshots {OUTPUT_DIR}/videos
cp {SKILL_DIR}/templates/dogfood-report-template.md {OUTPUT_DIR}/report.md

2. Launch/Auth

Start a named session and launch target app:

agent-device --session {SESSION} open {TARGET_APP} --platform {PLATFORM}
agent-device --session {SESSION} snapshot -i

If login is required:

agent-device --session {SESSION} snapshot -i
agent-device --session {SESSION} fill @e1 "{EMAIL}"
agent-device --session {SESSION} fill @e2 "{PASSWORD}"
agent-device --session {SESSION} press @e3
agent-device --session {SESSION} wait 1000
agent-device --session {SESSION} snapshot -i

For OTP/email codes: ask the user, wait for input, then continue.

3. Orient

Capture initial evidence and navigation anchors:

agent-device --session {SESSION} screenshot {OUTPUT_DIR}/screenshots/initial.png
agent-device --session {SESSION} snapshot -i

Map top-level navigation, tabs, and key workflows before deep testing.

4. Explore

Read references/issue-taxonomy.md for severity/category calibration.

Strategy:

  • Move through each major app area (tabs, drawers, settings pages).
  • Test core journeys end-to-end (create, edit, delete, submit, recover).
  • Validate edge states (empty/error/loading/offline/permissions denied).
  • Use diff snapshot -i after UI transitions to avoid stale refs.
  • Periodically capture logs path and inspect the app log when behavior looks suspicious.

Useful commands per screen:

agent-device --session {SESSION} snapshot -i
agent-device --session {SESSION} screenshot {OUTPUT_DIR}/screenshots/{screen-name}.png
agent-device --session {SESSION} appstate
agent-device --session {SESSION} logs path

5. Document Issues (Repro-First)

Explore and document in one pass. When you find an issue, stop and fully capture evidence before continuing.

Interactive/behavioral issues

Use video + step screenshots:

  1. Start recording:
agent-device --session {SESSION} record start {OUTPUT_DIR}/videos/issue-{NNN}-repro.mp4
  1. Reproduce with visible pacing. Capture each step:
agent-device --session {SESSION} screenshot {OUTPUT_DIR}/screenshots/issue-{NNN}-step-1.png
sleep 1
# perform action
sleep 1
agent-device --session {SESSION} screenshot {OUTPUT_DIR}/screenshots/issue-{NNN}-step-2.png
  1. Capture final broken state:
sleep 2
agent-device --session {SESSION} screenshot {OUTPUT_DIR}/screenshots/issue-{NNN}-result.png
  1. Stop recording:
agent-device --session {SESSION} record stop
  1. Append issue immediately to report with numbered steps and screenshot references.

Static/on-load issues

Single screenshot is sufficient; no video required:

agent-device --session {SESSION} screenshot {OUTPUT_DIR}/screenshots/issue-{NNN}.png

Set Repro Video to N/A in the report.

6. Wrap Up

Target 5-10 well-evidenced issues, then finish:

  1. Reconcile summary severity counts in report.md.
  2. Close session:
agent-device --session {SESSION} close
  1. Report total issues, severity breakdown, and highest-risk findings.

Guidance

  • Repro quality matters more than issue count.
  • Use refs (@eN) for fast exploration, selectors for deterministic replay assertions when needed.
  • Re-snapshot after any mutation (navigation, modal, list update, form submit).
  • Use fill for clear-then-type semantics; use type for incremental typing behavior checks.
  • Keep logs optional and targeted: enable/read app logs only when useful for diagnosis.
  • Never read source code of the app under test; findings must come from observed runtime behavior.
  • Write each issue immediately to avoid losing evidence.
  • Never delete screenshots/videos/report artifacts during a session.

References

Reference When to Read
references/issue-taxonomy.md Start of session; severity/categories/checklist

Templates

Template Purpose
templates/dogfood-report-template.md Copy into output directory as the report file
how to use dogfood

How to use dogfood 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 dogfood
2

Execute installation command

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

$npx skills add https://github.com/callstackincubator/agent-device --skill dogfood

The skills CLI fetches dogfood from GitHub repository callstackincubator/agent-device 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/dogfood

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

4.825 reviews
  • Camila Liu· Dec 24, 2024

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

  • Naina Diallo· Dec 4, 2024

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

  • Luis Yang· Nov 15, 2024

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

  • Yash Thakker· Nov 3, 2024

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

  • Dhruvi Jain· Oct 22, 2024

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

  • Luis Martin· Oct 6, 2024

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

  • Oshnikdeep· Sep 25, 2024

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

  • Neel Zhang· Sep 21, 2024

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

  • Ganesh Mohane· Aug 16, 2024

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

  • Neel Rahman· Aug 12, 2024

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

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