How are search results ranked in this skill?

Results are returned as a list sorted by relevance, which is determined by the frequency of keyword matches within each archived document.

What kind of keywords are used for searching?

The skill extracts 3-5 keywords from key file paths, specific domain terms, and system layer names mentioned in the current ticket.

Why is historical context important for AI coding?

It helps the AI maintain consistency with previous architectural decisions and ensures it doesn't reinvent solutions already documented in the project's history.

What does the discover-history skill do?

It searches through archived project tickets using specific keywords to find related historical context and past work patterns that inform current tasks.

Can I invoke this skill manually?

No, this is a non-user-invocable skill designed for Claude to use autonomously as part of its internal workflow to gather project context.

Project History Discovery

Name: Project History Discovery
Author: qmu

byqmu

0•

생산성 및 워크플로

Searches archived project tickets using keyword extraction to retrieve relevant historical context and past implementation details.

This skill enables Claude to automatically surface historical context by searching through archived project documentation and tickets. By extracting key domain terms, file paths, and architectural layers from current requests, it identifies relevant past work and sorts results by keyword match density. This is particularly useful for maintaining consistency across long-running projects, understanding previous design decisions, and avoiding duplication of effort by referencing how similar features or bugs were handled in the history of the codebase.

주요 기능

01Historical context retrieval for specific architectural layers and domain terms

02Relevance-based sorting of archived tickets based on keyword match count

03Automated keyword extraction from active ticket requests and file paths

040 GitHub stars

05Seamless integration with local Bash-based search scripts

06Efficient identification of related past features, bug fixes, and design patterns

사용 사례

01Finding historical context for recurring bugs to see if previous fixes provide a roadmap

02Researching how a specific architectural layer was implemented in previous project phases

03Understanding the evolution of specific business logic by searching archived feature tickets

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add qmu/workaholic discover-history

For use in Claude.ai and ChatGPT

Download Skill