io.github.richardofortune/tyrekick

Read and resolve pinned human feedback on live prototypes from your coding agent.

Source

Official Registry

Updated

2026-07-08

// securityCaution

Requires keys· TYREKICK_URL, TYREKICK_TOKEN
Runs locally
Official / curated
Open source
Community-trusted

Running security audit…

Credentials
Network egress
Code execution
Data access
Supply chain

// install

Copy the install command and let the AI configure it · recommended for beginners

Please install the "io.github.richardofortune/tyrekick" MCP server from askskill:
Run: claude mcp add 'io-github-richardofortune-tyrekick' -- npx -y tyrekick-mcp

// examples

Handle prototype comments

Prompt

Read all pinned human feedback on the current live prototype, organize it by page and priority, and mark handled items as resolved.

Expected

A feedback list, organized results, and resolution status for handled items.

Sync issues to fix

Prompt

Check new feedback in the live prototype, extract UI issues that require changes, and produce an actionable fix list.

Expected

A feedback-based list of changes for continued development or design iteration.

// use cases

Process design feedback during development

While building a live prototype, a developer can let the coding agent read feedback pinned on the interface directly, reducing manual comment triage. After handling the issues, the agent can mark related feedback as resolved.

Consolidate issues after product review

After reviewing a live prototype, a product manager or designer can use this tool to collect participant feedback and drive follow-up changes and closure. It suits fast iteration centered on the prototype.

// docs

No documentation provided

Check the source repo for usage and examples.

Go to source repo ↗

// FAQ

What does this tool do?

It lets a coding agent read human feedback pinned on a live prototype and handle or mark that feedback as resolved. Its core capability is feedback retrieval and resolution tracking.

Does it require a specific platform or extra setup?

The provided material does not specify supported platforms, installation steps, or required keys. See the source repository for exact prerequisites.

How is it different from a regular comment-tracking tool?

Based on the description, it emphasizes a coding agent directly reading pinned feedback on a live prototype and resolving it. The provided material does not describe further differentiators; see the source repository.