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Configure, test, benchmark, and manage embedding providers for semantic search and vector operations
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Checkpoint episodes and create handoff packs for multi-agent session continuity
Create and traverse typed relationships between episodes for dependency tracking and knowledge graphs
Manage episode tags for organization, filtering, and retrieval across the memory system
Generate task playbooks and explain patterns using learned strategies from episodic memory
Record and analyze recommendation sessions and feedback to drive the self-learning loop
Use and troubleshoot the Memory MCP server for episodic memory retrieval and pattern analysis. Use when working with MCP server tools, validating the MCP implementation, or debugging MCP server issues.
| name | embedding-ops |
| description | Configure, test, benchmark, and manage embedding providers for semantic search and vector operations |
| Command | Purpose |
|---|---|
do-memory-cli embedding config | Show current embedding configuration |
do-memory-cli embedding test | Test embedding provider connectivity |
do-memory-cli embedding list-providers | List available providers |
do-memory-cli embedding benchmark | Benchmark provider latency/throughput |
do-memory-cli embedding rebuild | Rebuild embedding index from episodes |
do-memory-cli embedding enable | Enable embeddings (session only) |
do-memory-cli embedding disable | Disable embeddings (session only) |
| Tool | Parameters | Purpose |
|---|---|---|
configure_embeddings | provider, model, dimension, api_key_env | Configure embedding provider |
query_semantic_memory | query, limit, threshold | Semantic similarity search |
test_embeddings | text | Test embedding generation |
generate_embedding | text, provider | Generate embedding vector |
search_by_embedding | embedding, limit | Search by raw vector |
embedding_provider_status | - | Check provider health |
Set in config file or environment:
[embeddings]
enabled = true
provider = "openai" # openai | cohere | ollama | local
model = "text-embedding-3-small"
dimension = 1536
api_key_env = "OPENAI_API_KEY"
export OPENAI_API_KEY="sk-..."
do-memory-cli embedding config
do-memory-cli embedding test
ollama pull nomic-embed-text
# Config: provider = "ollama", model = "nomic-embed-text", dimension = 768
benchmark to identify latency; consider local providerenable/disable commands affect current session only (no persistence)--semantic-search flag on episode list is declared but not yet wiredsave() is a no-op when hnsw feature is enabled