What specific bottlenecks in the development workflow does the TraceScope Agent Playbook address?

This skill automates the tedious parts of the QA lifecycle—specifically mapping code changes to test cases, comparing UI implementations against design tokens in Figma/Lanhu, and symbolicating crash logs for faster debugging.

What are the technical requirements to run this agent skill?

You will need Node.js 20+, the `@rebornace/tracescope-mcp` package, and a host that supports the Model Context Protocol (MCP), such as Claude Desktop or other compatible AI IDEs.

How does this skill ensure accuracy compared to just asking a standard LLM to review my code?

Unlike standard prompting, this skill uses a specialized tool-calling sequence that pulls real-time Git diffs and design specs, preventing the AI from hallucinating file changes or missing CSS discrepancies.

What exactly is included in the purchase of this skill?

The skill includes the specialized agent orchestration logic, pre-defined workflows for impact, visual, and crash analysis, and instructions for integrating with TraceScope MCP tools.

Can this skill perform live UI testing on a running application?

Currently, the visual audit tool performs static comparisons between code and design snapshots; it does not capture live screenshots from a running browser or mobile device.

Does this skill work with large-scale enterprise repositories and complex design files?

Yes, the skill is designed to handle large codebases and design files by utilizing paginated fetching via offset and limit parameters to maintain performance and stay within context windows.

tracescope agent playbook

Example session with this skill installed

Compare the latest commits between v1.2.0 and v1.3.0 and give me a manual test checklist for the affected modules.

Read your context and instructions
Compiled the tracescope agent playbook
Generated the document

I have analyzed the diff between tags v1.2.0 and v1.3.0 using tracescope_get_diff. The changes are concentrated in the Auth provider and the Navigation sidebar. I have published the full report to your TraceScope panel.

Manual Test Checklist: v1.3.0 Impact

Module	Component	Change Type	Priority	Test Case
Auth	`useSession.ts`	Logic	High	Verify token refresh logic on 401 response
Auth	`LoginForm.tsx`	UI/Refactor	Medium	Ensure validation errors display for malformed email
Navigation	`Sidebar.tsx`	Layout	Low	Check responsive toggle behavior on mobile breakpoints
Shared	`api-client.js`	Config	High	Test connectivity against the new production endpoint

Analysis Summary

Affected Files: 4 files modified, 122 lines changed.
Risk Level: Medium. Changes to the core Auth provider could affect all protected routes.
Visual Impact: Minor changes to Sidebar padding; no Figma updates detected for these commits.

Next steps

Run tracescope_open_panel to view the interactive impact map.
Trigger the Auth test suite to verify no regressions in the session handler.
Check LoginForm against the v1.3 Figma design for padding consistency.

LoginForm.tsx

PDF · document

Generated

Example file from a real run - the skill writes it into your workspace.

Connects securely to your tools. The creator never sees your data.

About this skill

Manual regression testing and UI audits take too long when you have to track down every changed file or design spec. This skill orchestrates TraceScope MCP to automate impact analysis, visual design reviews, and crash triage.

What it does

Impact Analysis generates manual test checklists and regression scopes based on git diffs between versions.
Visual Audits compares Figma or Lanhu designs against code implementations to find UI discrepancies.
Crash Triage analyzes stack traces from Umeng or Crashlytics to identify root causes.
Agent Orchestration manages the execution order of TraceScope MCP tools to ensure data is published correctly.

How it works

Identify Intent by detecting keywords like impact, UI review, or crash logs in the conversation.
Select Pillar to load specific workflows for Impact, Visual, or Crash analysis.
Execute Tools using TraceScope MCP to pull real diffs, design snapshots, or symbolicated stacks.
Publish Results via tracescope_publish_* tools to sync data with the TraceScope panel.

Frameworks & tools

Requires Node.js 20 or higher and the @rebornace/tracescope-mcp package. Works with Figma, Lanhu, Umeng, and Crashlytics integrations.

Why this beats prompting it yourself

Generic agents often hallucinate file changes or ignore design specs when asked for impact. This skill enforces a strict tool-calling sequence that uses actual git data and design tokens, ensuring checklists are based on code reality rather than guesses.

Use cases

Generate a manual testing checklist for a specific commit range.
Compare a Figma frame against a React or Vue implementation for CSS mismatches.
Debug a production ANR by feeding a raw Umeng stack trace into the agent.
Map specific UI pages to their corresponding source files for faster onboarding.

Known limitations

Design comparisons are static and do not perform live browser or device screenshots. Large trees require paginated fetching via offset and limit parameters. Requires local MCP installation.

How to use

Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

Reviews

No reviews yet

Be one of the first to try it. Every listed skill passes our trust checks below.

Security scanned

Passed our 8-point scan before listing

Fresh listing

Recently published to Agensi

Free forever

No account required to browse

tracescope agent playbook