wnews-project-memory

Store and load wnews project context across conversations.

Updated Apr 10, 2026
One-click install
npx skills add https://github.com/xttey001/wnews --skill wnews-project-memory
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: wnews-project-memory
Source: https://github.com/xttey001/wnews/tree/main/.workbuddy/skills/wnews-project-memory
Command: npx skills add https://github.com/xttey001/wnews --skill wnews-project-memory

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill eliminates the need to repeatedly re-explain the wnews financial analysis project's architecture, workflows, design rules, and known issues every time you start a new conversation about the project, reducing redundant work and ensuring consistent context across all interactions.

Core Features & Use Cases

  • Complete Project Knowledge Base: Stores the full 5-dimensional evolution analysis system architecture, daily news data pipeline steps, frontend design specifications, and Git deployment workflows.
  • Issue & Reference Tracking: Includes a list of fixed and unresolved known issues, ETF error code mapping tables, and standardized operation guidelines for common tasks.
  • Use Case: When you start a conversation to debug a wnews frontend rendering issue or update the daily news analysis pipeline, you can load all necessary project context in one step without manually sharing documentation.

Quick Start

At the start of any conversation related to the wnews financial analysis project, activate this skill to instantly load all project context, workflow rules, and known issue details without manual explanation.

Frequently Asked Questions about wnews-project-memory

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

FAQPage Schema
How do I maintain consistent project context for financial news pipeline workflows across multiple conversations?

You can maintain consistent project context for financial news pipeline workflows by loading a centralized long-term memory store that instantly provides architecture details, pipeline steps, and operational rules without manual re-explanation.

What is the best way to access ETF error code mappings and known issues for a financial analysis project?

The best way to access ETF error code mappings and known issues is by querying a centralized project knowledge base that tracks both fixed and unresolved issues alongside standardized operation guidelines for immediate retrieval.

How do I standardize Git operation guidelines for GitHub Pages deployment workflows?

To standardize Git operation guidelines for GitHub Pages deployment workflows, you load predefined project context that includes standardized deployment rules and frontend design specifications to ensure consistent operations across sessions.

Can I retrieve frontend rendering specifications and backend data processing rules for the wnews project in one step?

Yes, you can retrieve frontend rendering specifications and backend data processing rules in one step by activating a single project memory skill that contains the full five-dimensional evolution analysis system architecture and workflow documentation.

Why does my financial analysis project context get lost when starting new conversations for debugging?

Project context gets lost in new conversations because standard sessions lack persistent memory; loading a centralized project memory store eliminates this by instantly injecting all necessary development, debugging, and design specifications automatically.

Do I need to manually share documentation to update the daily news analysis pipeline?

No, you do not need to manually share documentation to update the daily news analysis pipeline; loading the project memory instantly provides all daily news data pipeline steps and workflow rules required for the task.