claude/skills/graphify/references/exports.md
Bastien Chanot ed5b54e87e chore(graphify): update skill to v0.8.45
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
2026-06-24 14:22:14 +02:00

88 lines
3.3 KiB
Markdown

# graphify reference: extra exports and benchmark
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.
### Step 6b - Wiki (only if --wiki flag)
**Only run this step if `--wiki` was explicitly given in the original command.**
Run this before Step 9 (cleanup) so `.graphify_labels.json` is still available.
```bash
graphify export wiki
```
### Step 7 - Neo4j export (only if --neo4j or --neo4j-push flag)
**If `--neo4j`** - generate a Cypher file for manual import:
```bash
graphify export neo4j
```
**If `--neo4j-push <uri>`** - push directly to a running Neo4j instance. Ask the user for credentials if not provided:
```bash
graphify export neo4j --push bolt://localhost:7687 --user neo4j --password PASSWORD
```
Default URI is `bolt://localhost:7687`, default user is `neo4j`. Uses MERGE - safe to re-run without creating duplicates.
### Step 7a - FalkorDB export (only if --falkordb or --falkordb-push flag)
**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:
```bash
graphify export falkordb
```
**If `--falkordb-push <uri>`** - push directly to a running FalkorDB instance. Credentials are optional; ask the user only if the instance requires auth:
```bash
graphify export falkordb --push falkordb://localhost:6379
```
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.
### Step 7b - SVG export (only if --svg flag)
```bash
graphify export svg
```
### Step 7c - GraphML export (only if --graphml flag)
```bash
graphify export graphml
```
### Step 7d - MCP server (only if --mcp flag)
```bash
$(cat graphify-out/.graphify_python) -m graphify.serve graphify-out/graph.json
```
This starts a stdio MCP server that exposes tools: `query_graph`, `get_node`, `get_neighbors`, `get_community`, `god_nodes`, `graph_stats`, `shortest_path`. Add to Claude Desktop or any MCP-compatible agent orchestrator so other agents can query the graph live.
To configure in Claude Desktop, add to `claude_desktop_config.json`. Claude Desktop can't run `$(...)`, 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`:
```json
{
"mcpServers": {
"graphify": {
"command": "<absolute path from: cat graphify-out/.graphify_python>",
"args": ["-m", "graphify.serve", "/absolute/path/to/graphify-out/graph.json"]
}
}
}
```
### Step 8 - Token reduction benchmark (only if total_words > 5000)
If `total_words` from `graphify-out/.graphify_detect.json` is greater than 5,000, run:
```bash
graphify benchmark
```
Print the output directly in chat. If `total_words <= 5000`, skip silently - the graph value is structural clarity, not token compression, for small corpora.