graphify

Files (12)

• LICENSE
• LICENSE-MIT
• NOTICE
• SKILL.md
• add-watch.md · references/
• exports.md · references/
• extraction-spec.md · references/
• github-and-merge.md · references/
• hooks.md · references/
• query.md · references/
• transcribe.md · references/
• update.md · references/

SKILL.md (first lines)

> Requer `pip install graphifyy==0.9.25` (o texto desta skill corresponde a essa versão do pacote). Licença: Apache-2.0 (`LICENSE` e `NOTICE` ao lado), de Graphify-Labs/graphify; o `LICENSE-MIT` vale para o código anterior à relicença.

# /graphify

Turn any folder of files into a navigable knowledge graph with community detection, an honest audit trail, and three outputs: interactive HTML, GraphRAG-ready JSON, and a plain-language GRAPH_REPORT.md.

## Usage

```
/graphify                                             # full pipeline on current directory (HTML viz; add --obsidian for a vault)
/graphify <path>                                      # full pipeline on specific path
/graphify https://github.com/<owner>/<repo>           # clone repo then run full pipeline on it
/graphify https://github.com/<owner>/<repo> --branch <branch>  # clone a specific branch
/graphify <url1> <url2> ...                           # clone multiple repos, build each, merge into one cross-repo graph
/graphify <path> --mode deep                          # thorough extraction, richer INFERRED edges
/graphify <path> --update                             # incremental - re-extract only new/changed files
/graphify <path> --directed                            # build directed graph (preserves edge direction: source→target)
/graphify <path> --whisper-model medium                # use a larger Whisper model for better transcription accuracy
/graphify <path> --cluster-only                       # rerun clustering on existing graph
/graphify <path> --no-viz                             # skip visualization, just report + JSON
/graphify <path> --html                               # (HTML is generated by default - this flag is a no-op)
/graphify <path> --svg                                # also export graph.svg (embeds in Notion, GitHub)
/graphify <path> --graphml                            # export graph.graphml (Gephi, yEd)
/graphify <path> --neo4j                              # generate graphify-out/cypher.txt for Neo4j
/graphify <path> --neo4j-push bolt://localhost:7687   # push directly to Neo4j
/graphify <path> --falkordb                           # generate graphify-out/cypher.txt for FalkorDB
/graphify <path> --falkordb-push falkordb://localhost:6379   # push directly to FalkorDB
/graphify <path> --mcp                                # start MCP stdio server for agent access
/graphify <path> --watch                              # watch folder, auto-rebuild on code changes (no LLM needed)
/graphify <path> --wiki                               # build agent-crawlable wiki (index.md + one article per community)
/graphify <path> --obsidian --obsidian-dir ~/vaults/my-project  # write vault to custom path (e.g. existing vault)
/graphify add <url>                                   # fetch URL, save to ./raw, update graph
/graphify add <url> --author "Name"                   # tag who wrote it
/graphify add <url> --contributor "Name"              # tag who added it to the corpus
/graphify query "<question>"                          # BFS traversal - broad context
/graphify query "<question>" --dfs                    # DFS - trace a specific path
/graphify query "<question>" --budget 1500            # cap answer at N tokens
/graphify path "AuthModule" "Database"                # shortest path between two concepts
/graphify explain "SwinTransformer"                   # plain-language explanation of a node
```

## What graphify is for

Drop any folder of code, docs, papers, images, or video into graphify and get a queryable knowledge graph. Persistent across sessions, honest audit trail (EXTRACTED/INFERRED/AMBIGUOUS), community detection surfaces cross-document connections you wouldn't think to ask about.

## What You Must Do When Invoked

If the user invoked `/graphify --help` or `/graphify -h` (with no other arguments), print the contents of the `## Usage` section above verbatim and stop. Do not run any commands, do not detect files, do not default the path to `.`. Just print the Usage block and return.

**Fast path — existing graph:** Before doing anything else, check whether `graphify-out/graph.json` exists. The expected location is `graphify-out/graph.json` relative to the **current working directory** (i.e. the project root where you are running commands). If it exists AND the user's request is a natural-language question about the codebase (e.g. "How does X work?", "What calls Y?", "Trace the data flow through Z") and NOT an explicit rebuild command (`--update`, `--cluster-only`, or a bare path/URL that implies fresh extraction): **skip Steps 1–5 entirely and jump straight to `## For /graphify query`.** Run `graphify query "<question>"` immediately. Do not run detect. Do not check corpus size. Do not ask the user to narrow. The graph is already built — use it.

If no path was given, use `.` (current directory). Do not ask the user for a path.

If the path argument starts with `https://github.com/` or `http://github.com/`, treat it as a GitHub URL - run Step 0 before anything else, then continue with the resolved local path.

Follow these steps in order. Do not skip steps.

### Step 0 - GitHub repos and multi-path merge (only if a URL or several paths)

Only when the path is one or more `https://github.com/...` URLs, or several local subfolders to merge. See `references/github-and-merge.md` for the clone, cross-repo merge, and monorepo flow, then continue with the resolved local path. A plain local path skips this step.

### Step 1 - Ensure graphify is installed

```powershell
# Detect Python with graphify — uv/pipx-aware (fixes #831)
New-Item -ItemType Directory -Force -Path graphify-out | Out-Null
$GRAPHIFY_PYTHON = $null

function Find-GraphifyPython {
    # 0. hadouken installer: its own venv in the Hadouken data folder
    $hk = if ($env:HADOUKEN_HOME) { $env:HADOUKEN_HOME } else { Join-Path $HOME ".claude/hadouken" }
    foreach ($py in @((Join-Path $hk "venv/Scripts/python.exe"), (Join-Path $hk "venv/bin/python"))) {
        if (Test-Path $py) {
            & $py -c "import graphify" 2>$null
            if ($LASTEXITCODE -eq 0) { return $py }
        }
    }
    # 1. uv tool install — 'uv tool dir' is authoritative, respects UV_TOOL_DIR automatically
    if (Get-Command uv -ErrorAction SilentlyContinue) {
        $uvDir = (uv tool dir 2>$null).Trim()
        if ($uvDir) {
            $py = Join-Path $uvDir "graphifyy\Scripts\python.exe"
            if (Test-Path $py) {
                & $py -c "import graphify" 2>$null
                if ($LASTEXITCODE -eq 0) { return $py }
            }
        }
    }
    # 2. pipx install — 'pipx environment' respects PIPX_HOME automatically
    if (Get-Command pipx -ErrorAction SilentlyContinue) {
        $venvs = (pipx environment --value PIPX_LOCAL_VENVS 2>$null).Trim()
        if ($venvs) {
            $py = Join-Path $venvs "graphifyy\Scripts\python.exe"
            if (Test-Path $py) {
                & $py -c "import graphify" 2>$null
                if ($LASTEXITCODE -eq 0) { return $py }
            }
        }
    }
    # 3. Active venv / conda / pip-into-current-env
    $pyCmd = Get-Command python -ErrorAction SilentlyContinue
    if ($pyCmd) {
        & $pyCmd.Source -c "import graphify" 2>$null
        if ($LASTEXITCODE -eq 0) {
            return (& $pyCmd.Source -c "import sys; print(sys.executable)").Trim()
        }
    }
    return $null
}

# Try to find the right Python (Hadouken venv → uv → pipx → active env)
$GRAPHIFY_PYTHON = Find-GraphifyPython

# Not found — install then re-detect
if (-not $GRAPHIFY_PYTHON) {
    if (Get-Command uv -ErrorAction SilentlyContinue) {
        uv tool install --upgrade graphifyy -q 2>&1 | Select-Object -Last 3
    } else {
        pip install graphifyy -q 2>&1 | Select-Object -Last 3
    }

From Garioli-Labs/claude-hadouken, MIT.

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