Query historical project observations from persistent memory via HTTP requests.
npx skills add https://github.com/dandawatey/ProjectZero --skill mem-search-dandawatey
Please help me install this Agent Skill. Skill: mem-search Source: https://github.com/dandawatey/ProjectZero/tree/main/.claude/skills/mem-search Command: npx skills add https://github.com/dandawatey/ProjectZero --skill mem-search-dandawatey
This Skill simplifies the process of querying and accessing past project history stored in persistent memory, allowing users to retrieve relevant information quickly and efficiently.
Execute a search for past project history using the command: /mem-search <query>.
High-intent search queries and answers about installing and using this skill.
To search past project history, use the /mem-search command with a query to retrieve historical observations from persistent memory, accessing them through three layers of progressive disclosure for efficient information retrieval.
Progressive disclosure is an information retrieval approach offering three layers: search to locate observations quickly, timeline to view surrounding context, and fetch to retrieve full content for in-depth review.
To retrieve full content of historical project observations, use the fetch mode layer of progressive disclosure, which provides the complete details of selected entries for in-depth review.
Yes, querying persistent memory requires interaction with a Claude-mem worker via HTTP GET and POST requests to retrieve historical project observations and enable knowledge management in collaborative environments.
Yes, you can view timeline context around specific observations by using the timeline mode, which obtains surrounding timeline entries to provide contextual history around your queried data.
The best way to quickly locate past observations is using the search layer of progressive disclosure, which allows you to find specific historical project entries using simple queries.
dwaynimayGenerate narrative project history reports from claude-mem timeline data.
obraTrace knowledge lineages from decision records, git history, and collaboration notes.
TheTesseractAICreate, track, and update persistent project tasks with dependencies and states.
Remaker-DigitalQuery GroundTruth KB for specifications, tests, work items, and documents.
