Lesson 9: claude-mem Advanced Skills (Part 2) and Practical Workflows

⏱ Est. reading time: 3 min Updated on 5/7/2026

This lesson introduces the remaining five skills of claude-mem and demonstrates how to string them together into real-world development workflows.

9.1 Remaining Core Skills

Skill Name Core Purpose
pathfinder Architectural Audit. Draws functional flowcharts, identifies cross-cutting concerns, and provides refactoring suggestions.
knowledge-agent Specialized Knowledge Brain. Distills all historical experience regarding a specific topic (e.g., auth, devops) into a conversational sub-agent.
timeline-report Project Retrospective. Concatenates all Observations within a specific timeframe into a narrative progress report.
how-it-works Self-Description. Explains claude-mem's own operational mechanisms and current configuration.
version-bump Automated Release (Mainly for plugin authors). Handles NPM and GitHub release workflows.

9.2 Case Study: Taking Over and Auditing a New Project

Scenario: You are taking over a Python project with 200+ files and plan to refactor its authentication module.

Recommended Workflow:

  1. Build Understanding: Say "Help me understand the overall structure of this project." The LLM automatically calls smart-explore to return an architectural sketch.
  2. Deep Scan: Run learn-codebase specifically on the auth subdirectory.
  3. Architectural Audit: Run pathfinder. It will draw a Mermaid flowchart and point out: "These 3 locations are performing permission checks but using different middleware."
  4. Historical Retrieval: Ask "How did we unify FastAPI middleware in other projects?" This triggers mem-search to find cross-project experience.
  5. Formulate Plan: Run make-plan to generate a refactoring strategy.
  6. Automated Execution: Run do to begin the phased refactoring.

9.3 Case Study: Generating a Quarterly Retrospective

If you need to report progress to your team:

  • Operation: "Generate a Timeline report for this project for Q2."
  • Effect: claude-mem pulls all bugfix, feature, and decision observations from the past three months from SQLite and strings them into a Markdown report, showcasing the project's evolution path.