Skill Market

memory management

AgentDB memory system with HNSW vector search. Use when: need to store patterns, search for solutions, semantic lookup. Skip when: no learning needed, ephemeral tasks.

GitHub
githubcommunityclaude
0.0
0 installs73.4K GitHub starsby ruvnet

Skill Introduction

Overview
AgentDB memory system with HNSW vector search. Use when: need to store patterns, search for solutions, semantic lookup. Skip when: no learning needed, ephemeral tasks.

Core value

Turns reusable Other know-how into an installable skill, helping users complete github, community, claude work faster.

Target users

  • Developers, testers, and maintainers who handle Other tasks in Focus Code.
  • Teams that already trust workflows or content from ruvnet.
  • Users who want standardized prompts, steps, or conventions instead of repeating setup work.

Best practices

  • Read the skill content first to confirm required inputs, expected outputs, and dependencies.
  • Try it on a small task before relying on it for critical work.
  • Add project-specific constraints such as coding style, target platform, test expectations, and delivery format.
  • For external sources, verify the source link, version, and recent maintenance activity.

Best use cases

  • Tasks related to github, community, claude that need a reusable execution flow.
  • Converting a community repo, team convention, or personal workflow into day-to-day assistance.
  • Starting from a proven skill instead of writing prompts or procedures from scratch.

Limits and boundaries

  • Results depend on the quality of the original skill content and may need human correction.
  • It does not replace code review, tests, security review, or professional judgment.
  • External tools, APIs, account permissions, and local dependencies still need separate setup.

Differentiation

  • Structured around Other, making it easier to discover and reuse than loose prompt snippets.
  • Marked as GitHub, which helps users judge trust and maintenance expectations.
  • Keeps the original source link available for repository, documentation, or discussion follow-up.
  • Tagged with github, community, claude, so it can be filtered by concrete task intent.

Install and use

Install
Copy Install Command
focus install memory-management-a8a235
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Detail Preview

SKILL.md

Primary filemarkdown922 B

name: memory-management description: > AgentDB memory system with HNSW vector search. Use when: need to store patterns, search for solutions, semantic lookup. Skip when: no learning needed, ephemeral tasks.

Memory Management Skill

Purpose

AgentDB memory system with HNSW vector search.

When to Trigger

  • need to store patterns
  • search for solutions
  • semantic lookup

When to Skip

  • no learning needed
  • ephemeral tasks

Commands

Store Data

Store a pattern in memory

npx @claude-flow/cli memory store --key "key" --value "value" --namespace patterns

Search Data

Semantic search in memory

npx @claude-flow/cli memory search --query "search terms" --limit 10

Best Practices

  1. Check memory for existing patterns before starting
  2. Use hierarchical topology for coordination
  3. Store successful patterns after completion
  4. Document any new learnings

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