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featbit
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project-sync

Update experiment status and metadata in release workflows via sync.ts.

1|Updated Mar 16, 2026
Search Tags:#experiment management#command-line tool#release workflows#stage tracking#web database
One-click install
npx skills add https://github.com/featbit/featbit-release-decision-agent --skill project-sync-featbit
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: project-sync
Source: https://github.com/featbit/featbit-release-decision-agent/tree/main/skills/project-sync
Command: npx skills add https://github.com/featbit/featbit-release-decision-agent --skill project-sync-featbit

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill simplifies the process of maintaining synchronized experiment and stage data in release decision workflows, reducing manual errors and ensuring consistency.

Core Features & Use Cases

  • State Synchronization: Provides a command-line script to update project state, stages, and activities in the web database.
  • Experiment Management: Enables creation, status updates, and logging of experiment stages and decisions for release workflows.
  • Use Case: A product manager can easily log hypothesis changes and stage transitions, and automatically push updates to the database without manual API interactions.

Quick Start

Use the sync.ts script to update experiment state fields like hypothesis and mark the stage as measuring.

Frequently Asked Questions about project-sync

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate experiment status updates for release workflows?▼

Automating experiment status updates for release workflows is achieved by running a command-line script that validates input formats and securely pushes metadata changes to a web database API. This ensures data integrity and auditability across stage transitions.

What is the best way to synchronize experiment stage tracking with a web database?▼

Synchronizing experiment stage tracking with a web database involves using an automated command-line tool to update project state and log decisions. This mechanism enforces strict validation to maintain consistent metadata without manual API interactions.

How do I log hypothesis changes and stage transitions without manual API calls?▼

Logging hypothesis changes and stage transitions without manual API calls requires executing a sync script that automatically pushes updates to the database. This script validates the input data and records activity for release decision workflows.

Does this command-line tool validate input formats before updating the experiment database?▼

Yes, the command-line tool applies strict validation of input formats before securely communicating with the web database API. This validation process prevents manual errors and ensures data integrity during experiment creation and updates.

Can I use this script to record decisions during experiment creation and updates?▼

Yes, you can use the script to record decisions during experiment creation, status updates, and stage transitions. It securely communicates with the web database API to ensure all recorded experiment metadata remains auditable and consistent.

Why does manual experiment management cause data inconsistency in release workflows?▼

Manual experiment management causes data inconsistency because it relies on error-prone manual API interactions to update stages and metadata. Automating state synchronization with a validated command-line script eliminates these errors and ensures consistent release decision tracking.

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