Bump 0.8.13 -> 0.8.45. Extract the SKILL.md monolith (~530 lines) into references/ for progressive disclosure: github-and-merge, transcribe, extraction-spec, exports, update, query, add-watch, hooks. SKILL.md now points to each reference and loads it only on the path that needs it. Inline fixes carried by the new version: empty-extraction guard before any write (#1392), shrink-guard ordering so GRAPH_REPORT/analysis never describe a graph.json that was refused (#479), root= relativization for build/manifest parity across clones (#1361/#1417), stale-cache cleanup and code-only semantic pre-write (#1392), edge-direction preserving merge (#801). Adds FalkorDB export (--falkordb/--falkordb-push) and rewrites the frontmatter description (drops the obsolete trigger: field). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_0169vjUD1sP9Nx4ZiCa8wvAw
88 lines
3.3 KiB
Markdown
88 lines
3.3 KiB
Markdown
# graphify reference: extra exports and benchmark
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Load this when the user passed one of the export flags (`--wiki`, `--neo4j`, `--neo4j-push`, `--falkordb`, `--falkordb-push`, `--svg`, `--graphml`, `--mcp`), or when the corpus is large enough for the token-reduction benchmark. Each step runs only for its own flag.
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### Step 6b - Wiki (only if --wiki flag)
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**Only run this step if `--wiki` was explicitly given in the original command.**
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Run this before Step 9 (cleanup) so `.graphify_labels.json` is still available.
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```bash
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graphify export wiki
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```
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### Step 7 - Neo4j export (only if --neo4j or --neo4j-push flag)
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**If `--neo4j`** - generate a Cypher file for manual import:
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```bash
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graphify export neo4j
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```
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**If `--neo4j-push <uri>`** - push directly to a running Neo4j instance. Ask the user for credentials if not provided:
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```bash
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graphify export neo4j --push bolt://localhost:7687 --user neo4j --password PASSWORD
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```
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Default URI is `bolt://localhost:7687`, default user is `neo4j`. Uses MERGE - safe to re-run without creating duplicates.
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### Step 7a - FalkorDB export (only if --falkordb or --falkordb-push flag)
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**If `--falkordb`** - generate a Cypher file. The statements are OpenCypher, but FalkorDB's `GRAPH.QUERY` runs one statement at a time (no bulk script import like Neo4j's `cypher-shell`), so prefer `--falkordb-push` to load a graph. Use this only when you want the portable `cypher.txt` artifact:
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```bash
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graphify export falkordb
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```
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**If `--falkordb-push <uri>`** - push directly to a running FalkorDB instance. Credentials are optional; ask the user only if the instance requires auth:
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```bash
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graphify export falkordb --push falkordb://localhost:6379
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```
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Default URI is `falkordb://localhost:6379` (the scheme is informational - `redis://` or a bare `host:port` work too), auth is optional, and the target graph defaults to `graphify`. Uses MERGE - safe to re-run without creating duplicates.
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### Step 7b - SVG export (only if --svg flag)
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```bash
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graphify export svg
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```
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### Step 7c - GraphML export (only if --graphml flag)
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```bash
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graphify export graphml
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```
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### Step 7d - MCP server (only if --mcp flag)
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```bash
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$(cat graphify-out/.graphify_python) -m graphify.serve graphify-out/graph.json
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```
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This starts a stdio MCP server that exposes tools: `query_graph`, `get_node`, `get_neighbors`, `get_community`, `god_nodes`, `graph_stats`, `shortest_path`. Add to Claude Desktop or any MCP-compatible agent orchestrator so other agents can query the graph live.
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To configure in Claude Desktop, add to `claude_desktop_config.json`. Claude Desktop can't run `$(...)`, and under `uv tool install` the system `python3` can't import graphify — so set `command` to the **absolute interpreter path** printed by `cat graphify-out/.graphify_python`:
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```json
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{
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"mcpServers": {
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"graphify": {
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"command": "<absolute path from: cat graphify-out/.graphify_python>",
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"args": ["-m", "graphify.serve", "/absolute/path/to/graphify-out/graph.json"]
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}
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}
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}
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```
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### Step 8 - Token reduction benchmark (only if total_words > 5000)
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If `total_words` from `graphify-out/.graphify_detect.json` is greater than 5,000, run:
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```bash
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graphify benchmark
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```
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Print the output directly in chat. If `total_words <= 5000`, skip silently - the graph value is structural clarity, not token compression, for small corpora.
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