assimilate-popular-wor…
This skill should be used when the user asks to "find skills in the wild", "assimilate popular workflows", "discover SKILL.md…
@a5c-aiInstall SkillAutomation
Skill
/vector-memory
HNSW vector search for pattern similarity retrieval and knowledge graph maintenance with PageRank scoring, community detection, and 3-tier memory management.
Claude Code
$ npx -y skills add a5c-ai/babysitter --skill vector-memory --agent claude-code
Codex
$ npx skills add a5c-ai/babysitter --skill vector-memory -a codex -y
Cursor
$ npx skills add a5c-ai/babysitter --skill vector-memory -a cursor -y
Gemini CLI
$ npx skills add a5c-ai/babysitter --skill vector-memory -a gemini-cli -y
GitHub Copilot
$ npx skills add a5c-ai/babysitter --skill vector-memory -a github-copilot -y
OpenCode
$ npx skills add a5c-ai/babysitter --skill vector-memory -a opencode -y
Windsurf
$ npx skills add a5c-ai/babysitter --skill vector-memory -a windsurf -y
SKILL.md
vector-memory.SKILL.mdname: vector-memory
description: HNSW vector search for pattern similarity retrieval and knowledge graph maintenance with PageRank scoring, community detection, and 3-tier memory management.
allowed-tools: Read, Write, Edit, Bash, Grep, Glob, WebFetch, WebSearch, Agent, AskUserQuestion
graph:
domains: [domain:software-engineering]
skillAreas: [skill-area:agentic-loops, skill-area:orchestration-loop]
workflows: [workflow:feature-development]
topics: [topic:developer-experience]
roles: [role:tech-lead, role:backend-engineer]
- Building and querying knowledge graphs for project context
- Managing cross-session memory across project/local/user scopes
- Fast similarity search for routing decisions
HNSW Performance
- Search latency: ~61 microseconds
- Query throughput: ~16,400 QPS
- Configurable embedding dimensions (default: 128)
Knowledge Graph
- **PageRank**: Importance scoring for knowledge nodes
- **Community Detection**: Cluster related patterns
- **LRU Cache**: Fast access to frequently used patterns
- **SQLite Backing**: Persistent cross-session storage
3-Tier Memory
| Scope | Persistence | Content | |-------|------------|---------| | Project | Codebase-level | Patterns, architecture decisions, dependencies | | Local | Session-level | Context, adaptations, temporary patterns | | User | Cross-project | Preferences, learned behaviors, global patterns |
Agents Used
- `agents/optimizer/` - Memory and cache optimization
Tool Use
Invoke via babysitter process: `methodologies/ruflo/ruflo-intelligence`
Read more
name: vector-memory description: HNSW vector search for pattern similarity retrieval and knowledge graph maintenance with PageRank scoring, community detection, and 3-tier memory management. allowed-tools: Read, Write, Edit, Bash, Grep, Glob, WebFetch, WebSearch, Agent, AskUserQuestion graph: domains: [domain:software-engineering] skillAreas: [skill-area:agentic-loops, skill-area:orchestration-loop] workflows: [workflow:feature-development] topics: [topic:developer-experience] roles: [role:tech-lead, role:backend-engineer]
- Building and querying knowledge graphs for project context
- Managing cross-session memory across project/local/user scopes
- Fast similarity search for routing decisions
HNSW Performance
- Search latency: ~61 microseconds
- Query throughput: ~16,400 QPS
- Configurable embedding dimensions (default: 128)
Knowledge Graph
- **PageRank**: Importance scoring for knowledge nodes
- **Community Detection**: Cluster related patterns
- **LRU Cache**: Fast access to frequently used patterns
- **SQLite Backing**: Persistent cross-session storage
3-Tier Memory
| Scope | Persistence | Content | |-------|------------|---------| | Project | Codebase-level | Patterns, architecture decisions, dependencies | | Local | Session-level | Context, adaptations, temporary patterns | | User | Cross-project | Preferences, learned behaviors, global patterns |
Agents Used
- `agents/optimizer/` - Memory and cache optimization
Tool Use
Invoke via babysitter process: `methodologies/ruflo/ruflo-intelligence`
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Questions about vector-memory.
- Which coding agents can use vector-memory?
- vector-memory installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.