git clone https://github.com/Logiiiii/unity-agent-skills.git--- name: jahro-snapshots description: > Guides snapshot mode selection, capture workflows, QA sharing, and team setup for Jahro Snapshots. Use when the user mentions snapshots, bug capture, sharing logs, streaming, recording, QA workflow, team collaboration, or wants to share debugging sessions with their team. --- # Jahro Snapshots Help users capture, share, and collaborate on debugging sessions using Jahro's snapshot system. ## What Snapshots Capture Each snapshot session bundles: - **Logs**: all `Debug.Log`, `Debug.LogWarning`, `Debug.LogError` output with stack traces - **Screenshots**: captured during the session with timestamp correlation - **Device metadata**: platform, OS version, Unity version, device specs - **Team member**: who captured the session Sessions appear in-game with status indicators and can be uploaded or streamed to the Jahro web console for team access via shareable URLs. ## Snapshot Modes Configure in **Tools → Jahro Settings → Snapshots Settings**. | Mode | Behavior | Best For | |:-----|:---------|:---------| | **Recording** | Stores locally until manual upload | Offline development, privacy-sensitive environments, controlled uploads | | **Streaming — All** | Auto-streams logs/screenshots live (~5s intervals) to cloud | Real-time team collaboration, full team visibility | | **Streaming — Except Editor** | Streams on devices, records locally in Editor | Hybrid: QA devices stream, developers keep Editor sessions private | ### Mode selection guide | Situation | Recommended Mode | |:----------|:----------------| | Solo developer, mostly in Editor | Recording | | QA team testing on mobile devices | Streaming — All or Streaming — Except Editor | | Full team wants real-time updates | Streaming — All | | Privacy-sensitive project | Recording | | Intermittent network connectivity | Recording (upload when connected) | | QA on devices + dev in Editor | Streaming — Except Editor | ## QA Capture Workflow Step-by-step for QA testers on mobile: 1. **Open console**: Triple-tap at top of screen (or tap the Launch Button) 2. **Switch to Snapshots tab** 3. **Tap "Start Snapshot"**: session begins capturing logs and screenshots 4. **Reproduce the issue**: play normally while Jahro records everything 5. **Take screenshots**: tap the screenshot button at key moments 6. **Tap "Stop Snapshot"**: session ends 7. **Share**: - **Recording mode**: Tap "Upload" → wait for upload → copy URL - **Streaming mode**: URL is already available → copy URL 8. **Share the URL** via Slack, email, or bug tracker The developer opens the URL in a browser and sees the full session in the Jahro web console — logs (filterable), screenshots (lightbox viewer), and device metadata. ## Session Management ### Session statuses | Status | Meaning | Next Action | |:-------|:--------|:------------| | Recording | Actively collecting logs/screenshots | Stop when done | | Recorded | Stopped, stored locally | Upload to share | | Uploading | Upload in progress | Wait for completion | | Uploaded | Successfully uploaded | Copy URL to share | | Streaming | Live-streaming to cloud | Stop when done | | Streamed | Streaming complete and flushed | Copy URL to share | If an error occurs (network failure, auth issue), an inline error message appears with a **Retry** button. ### Local storage - 10 most recent snapshots kept locally with automatic rotation - Older sessions are automatically cleaned up - Editable titles (up to 100 characters) — tap the pencil icon to rename ### Streaming behavior When streaming: - Data sent in chunks approximately every **5 seconds** - Duplicate logs within the same chunk are collapsed (auto-deduplication) - Near real-time updates on the web console - If network drops, buffered data is sent when connection resumes ## Web Console (Light Touch) After upload/stream, sessions are viewable at **console.jahro.io**: - **Logs Viewer**: Filter by Debug/Warning/Error/Commands, full-text search, stack traces - **Screenshots Gallery**: Lightbox viewer with zoom, timestamp correlation to logs - **Device Metadata**: Platform, OS, Unity version, device specs, team member - **Shareable Links**: Generate URLs that open directly in the web console The web console is outside the scope of this skill — for team management details, refer to Jahro's web documentation. ## Team Setup ### API key configuration Each Unity project needs an API key to enable snapshot uploads: 1. Create team at **console.jahro.io** 2. Create a project under the team 3. Go to **Project → API Keys** → copy key 4. In Unity → **Tools → Jahro Settings → Account** → paste key 5. Key validates automatically, shows project/team info One API key per project. All team members building from the same Unity project share the same key (via the `jahro-settings.asset` file in version control). ### Role-based access | Role | Can Do | |:-----|:-------| | **Owner** | Everything: billing, team settings, roles, transfers | | **Admin** | Manage members, configure integrations, access all content | | **Member** | Create/view/edit snapshots, logs, screenshots | ### Team workflow recommendations - Include `Assets/Jahro/Resources/jahro-settings.asset` in version control - Use **Streaming — Except Editor** so QA devices stream automatically while developers control their own sessions - Establish naming conventions for snapshot titles (e.g., "BUG-123: Crash on level 5") - QA should paste snapshot URLs directly into bug tickets ## Contextual Awareness | Pattern | Suggestion | |:--------|:-----------| | User mentions QA, testers, or bug reports | Guide snapshot setup for QA workflow | | User mentions sharing logs or screenshots | Explain snapshot sharing flow | | User mentions mobile debugging | Highlight triple-tap + streaming for cable-free debugging | | User asks about Recording vs Streaming | Walk through mode selection guide | | API key not configured | Guide API key setup before snapshot features work | ## Verification After configuring snapshots: > **Verify:** Enter Play Mode → open Jahro console → Snapshots tab → Start a snapshot → play for a few seconds → Stop → Upload (or check stream URL). Open the URL in a browser to confirm logs and screenshots appear in the web console. If snapshots fail, suggest the jahro-troubleshooting skill — common causes: missing API key, network issues, wrong snapshot mode for the platform.
[{"step":"Define the scope of your snapshot. Replace [TOPIC/INDUSTRY/COMPANY] with a specific focus (e.g., 'AI in healthcare,' 'Tesla's 2024 strategy,' or 'the European renewable energy sector'). For precision, add [TARGET_AUDIENCE] (e.g., 'startup founders,' 'enterprise leaders,' or 'policy makers').","tip":"Narrow the scope to avoid generic outputs. For example, instead of 'AI,' specify 'AI in radiology' or 'AI for drug discovery.'"},{"step":"Copy the prompt into your AI tool (e.g., Claude, ChatGPT, or Perplexity) and run it. For deeper insights, ask the AI to include **specific metrics, recent news, or competitor comparisons** by adding these to the prompt.","tip":"Use tools like **Google Scholar, Crunchbase, or Statista** to cross-verify AI-generated data. Flag any discrepancies for manual review."},{"step":"Review the output and extract **3-5 key takeaways** for your immediate needs. Highlight trends, risks, or opportunities that align with your goals.","tip":"Use the AI’s output to draft a **one-page brief** or **presentation slide** for stakeholders. Focus on the most actionable insights."},{"step":"Refine the snapshot by iterating. Ask the AI to **prioritize certain aspects** (e.g., 'Focus on regulatory challenges for EU-based companies') or **compare to a competitor** (e.g., 'How does NVIDIA's AI healthcare strategy compare to Google Health's?').","tip":"For competitive analysis, use tools like **SEMrush, SimilarWeb, or company filings** to supplement AI insights."},{"step":"Save the snapshot for future reference. Store it in a **shared drive, Notion database, or CRM tool** (e.g., HubSpot) to track changes over time.","tip":"Set a reminder to **re-run the snapshot every 3-6 months** to update trends and ensure relevance."}]
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/Logiiiii/unity-agent-skills/tree/main/skills/jahro-snapshotsCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Generate a comprehensive snapshot of [TOPIC/INDUSTRY/COMPANY]. Include key trends, recent developments, market size, major players, and future outlook. Structure the output with clear headings and bullet points for readability. Focus on actionable insights for [TARGET_AUDIENCE].
### **AI in Healthcare: 2024 Market Snapshot** **Market Size & Growth** The global AI in healthcare market reached **$15.4 billion in 2023** and is projected to grow at a **CAGR of 37.5%** through 2030, driven by rising adoption of machine learning for diagnostics, drug discovery, and personalized medicine. North America dominates with a **42% market share**, followed by Europe (28%) and Asia-Pacific (22%). Key growth drivers include: - **Regulatory approvals**: The FDA cleared **15 AI/ML-based medical devices** in 2023, up from 10 in 2022. - **Cost savings**: Hospitals using AI for predictive analytics report **15-20% reductions in readmission rates**. - **Investment surge**: Venture capital funding for health AI startups hit **$8.2 billion in 2023**, a 40% YoY increase. **Major Players & Innovations** 1. **IBM Watson Health**: Expanded its AI suite to include **automated radiology report generation** (partnering with Mayo Clinic). 2. **Google Health**: Launched **Med-PaLM 2**, a large language model trained on medical literature, achieving **85% accuracy on US Medical Licensing Exam questions**. 3. **Tempus**: Raised **$200M in Series F** to scale its AI-driven precision oncology platform, now used in **500+ hospitals**. 4. **PathAI**: Partnered with **Merck** to develop AI tools for **early cancer detection in pathology slides**. **Emerging Trends** - **Generative AI for synthetic data**: Companies like **Synthesia** and **NVIDIA** are creating synthetic medical imaging datasets to train models while preserving patient privacy. - **Regulatory challenges**: The EU’s AI Act (2024) classifies high-risk AI medical devices as "unacceptable risk," requiring **rigorous pre-market validation**. - **Ethical concerns**: Bias in AI diagnostics remains a critical issue—**Black patients are 30% less likely** to be flagged for early-stage diabetic retinopathy by current models. **Future Outlook** By 2025, **60% of healthcare providers** will use AI for at least one clinical application, up from 30% in 2023. Priorities for 2024-2025 include: - **Interoperability**: Seamless integration with EHR systems (e.g., Epic, Cerner). - **Explainability**: Demand for "white-box" AI models to meet regulatory and clinician trust requirements. - **Regional expansion**: Growth in **Southeast Asia and Latin America**, where healthcare AI adoption is accelerating due to telemedicine demand. **Actionable Insights for Healthcare Executives** - **Pilot programs**: Start with **low-risk use cases** (e.g., AI triage tools) to build internal expertise. - **Partnerships**: Collaborate with **AI-native startups** to avoid reinventing the wheel. - **Data governance**: Invest in **high-quality, diverse datasets** to mitigate bias. - **Regulatory tracking**: Monitor **FDA, EMA, and local guidelines** to ensure compliance. *Sources: McKinsey (2024), CB Insights, company reports, and industry analyses.*
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