What happens if no matches are found?

The skill will suggest broader terms, different phrasing, or recommend using /list-recent-repos to help you find the information you need.

How do I configure the search path?

You must set the YW_CONFIG_REPO_PATH environment variable in your ~/.claude/settings.json file to point to your local configurations repository where episodes are stored.

What is semantic search in dev-memory?

Unlike traditional keyword matching, semantic search understands the intent behind your query. It can find related concepts, such as identifying 'OAuth' or 'JWT' files when you search for 'authentication'.

Can I search for work performed at a specific time?

Yes, the skill understands temporal queries like 'what did I work on last week?' by analyzing timestamps in the episode metadata.

Why does the skill provide an explanation for each result?

The 'Why relevant' explanation helps you understand the semantic connection the AI made, ensuring you know exactly why a specific episode was retrieved even if it doesn't contain your exact search terms.

Semantic Dev Memory Search

Name: Semantic Dev Memory Search
Author: yoshiwatanabe

byyoshiwatanabe

0•

Productivity & Workflow

Searches development history and coding episodes using AI-powered semantic understanding instead of simple keyword matching.

The Search Memory skill transforms how developers interact with their past work by enabling natural language queries against a structured history of coding episodes. By moving beyond basic grep-style searches, it understands the context of your requests—mapping concepts like 'authentication' to 'OAuth' or 'security tokens' automatically. This allows you to instantly recall implementation details, repository states, and project milestones based on intent and meaning, providing a more intuitive way to manage your long-term development context.

Key Features

01AI-driven semantic search for context-aware result retrieval

020 GitHub stars

03Supports relative date filtering and recency-based ranking

04Analyzes YAML frontmatter including summaries, tags, and keywords

05Integrates with custom configuration repositories for persistent memory storage

06Provides clear reasoning for why specific memory episodes were matched

Use Cases

01Recalling specific implementation patterns from past projects using natural language

02Tracking development progress across multiple repositories and branches over time

03Quickly finding relevant code contexts without needing to remember exact keywords

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add yoshiwatanabe/yoshiwatanabe-plugins search-memory

For use in Claude.ai and ChatGPT

Key Features

01AI-driven semantic search for context-aware result retrieval

020 GitHub stars

03Supports relative date filtering and recency-based ranking

04Analyzes YAML frontmatter including summaries, tags, and keywords

05Integrates with custom configuration repositories for persistent memory storage

06Provides clear reasoning for why specific memory episodes were matched

Use Cases

01Recalling specific implementation patterns from past projects using natural language

02Tracking development progress across multiple repositories and branches over time

03Quickly finding relevant code contexts without needing to remember exact keywords

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add yoshiwatanabe/yoshiwatanabe-plugins search-memory

For use in Claude.ai and ChatGPT