From semantic-memory
LogosDB — incremental index of a file or directory (changed/new files only; fast refresh, concise output).
How this skill is triggered — by the user, by Claude, or both
Slash command
/semantic-memory:index <path> [--namespace=name] [-n name]<path> [--namespace=name] [-n name]sonnetThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
User invoked with: **$ARGUMENTS**
User invoked with: $ARGUMENTS
Index a file or directory into LogosDB for semantic search using incremental mode (requires logosdb-mcp-server ≥ 0.7.11).
Parse the arguments:
--namespace=<name> or -n <name> sets the collection name (default: code).Call the logosdb_index_file MCP tool with the resolved path, namespace, and incremental: true.
Incremental: new or changed files only; changed files have old chunks removed first; unchanged files are skipped; directory runs also drop chunks for files removed from disk (see LogosDB mcp/README.md). Cost: proportional to changed chunks, not the whole tree — suitable for session-start refresh or after edits when the user wants memory aligned with disk.
Session load (semantic-memory plugin): the model-invoked semantic-memory skill requires /index . at every session start when the plugin is active.
Respond with one line only. Do not echo the raw tool JSON. Use the tool result fields indexed, indexed_files, skipped_files, pruned_files, and namespace:
Indexed {indexed} chunks · {indexed_files} updated · {skipped_files} skipped · {pruned_files} pruned → '{namespace}'
If indexed_files == 0 && skipped_files > 0, append in the same line: (no changes since last index — touch the file or delete the namespace to force re-index).
Setup, namespaces, and CLAUDE.md template: skills/semantic-memory/SKILL.md and skills/semantic-memory/references/claude-md-template.md.
npx claudepluginhub jose-compu/claude-code-semantic-memory --plugin semantic-memorySearches MemPalace before answering questions about past work, people, projects, or prior decisions. Returns verbatim stored content instead of guessing from model memory.
Guides Payload CMS config (payload.config.ts), collections, fields, hooks, access control, APIs. Debugs validation errors, security, relationships, queries, transactions, hook behavior.
Implements vector databases with Pinecone, Weaviate, Qdrant, Milvus, pgvector for semantic search, RAG, recommendations, and similarity systems. Optimizes embeddings, indexing, and hybrid search.