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Session Replay

Organization
nexus-labs-automation
session-replay

Set up session replay for visual debugging. Use when implementing screen recording, replay features, or visual debugging tools.

Overview

Publishernexus-labs-automation
Repositorymobile-observability
Skill namesession-replay
Stars
116
Forks
12
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by nexus-labs-automation on GitHub. Read the source before you install it.

Installation

Install the Session Replay AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/nexus-labs-automation/mobile-observability.git /tmp/mobile-observability
mkdir -p .claude/skills
cp -r /tmp/mobile-observability/skills/session-replay .claude/skills/session-replay
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Session Replay in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Session Replay on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Session Replay is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Session Replay

Capture visual recordings of user sessions for debugging.

When to Use

  • Reproducing hard-to-debug issues
  • Understanding user confusion
  • QA and support investigations

Privacy Requirements (Must Do)

Mask by default:

  • All text input fields
  • Passwords and sensitive data
  • User-generated content
  • Financial information
  • User photos/documents

Performance Budget

ResourceLimit
CPU<5% additional
Memory<20MB additional
NetworkBatch on WiFi
BatteryPause when low

Capture Strategies

StrategyFidelityOverhead
Screenshots (1-2 fps)LowerLower
View hierarchy recordingHigherModerate
Hybrid (screenshots + events)BestModerate

Best Practice

Don't record everything. Target:

  • Error sessions only (rolling buffer)
  • Key user journeys
  • 1-10% sampling for general insights

Implementation

See references/session-replay.md for:

  • Platform-specific setup
  • Privacy masking patterns
  • Vendor configurations (Sentry, Datadog, New Relic)

Frequently asked questions

What does the Session Replay AI skill do?

Set up session replay for visual debugging. Use when implementing screen recording, replay features, or visual debugging tools.

Why use Session Replay on TypingMind?

Because you install it once and use it with any model. Session Replay is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Session Replay in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/nexus-labs-automation/mobile-observability/tree/main/skills/session-replay. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Session Replay?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Session Replay?

As many as you like. As long as a model supports skills, you can use Session Replay with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Session Replay AI skill free?

Yes. It is published on GitHub by nexus-labs-automation under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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