LLMind recipes
LLMind recipes — copy-paste shell commands for the seven tasks people
actually do. Each recipe assumes the
CLI is installed
(pipx install 'llmind-cli[all]').
Enrich a single PDF
The most common operation: write a semantic layer into one file. The file is modified in place; LLMind reads its bytes, generates the layer, signs it, and embeds the result in the XMP packet.
llmind enrich document.pdf
Add --summary to include a one-paragraph description in the
descriptive layer. Add --ocr to run OCR and capture the
transcription in the structural layer. See
CLI reference for all flags.
Verify a file's signature
Confirm the embedded layer hasn't been tampered with and the file's bytes match the signature's bound checksum.
llmind verify document.pdf Exit code 0 means the signature is valid; non-zero means tampering detected or the verifying key doesn't match the signing key. See the signing scheme spec for the algorithm.
Inspect what is embedded
Print the descriptive, structural, and provenance layers as readable JSON. Useful for debugging an enrichment pipeline or auditing a document's metadata before downstream processing.
llmind inspect document.pdf
Add --format=yaml for a more human-readable view, or
--layer=descriptive to print just one layer.
Batch-enrich a directory
For a corpus of files, enrich all of them in one pass. LLMind walks the
directory, enriches each file in place, and prints a summary at the end.
Skips files that already have a valid LRFS layer unless
--force is set.
llmind enrich --recursive ./corpus/
Combine with find for finer control:
find ./corpus -name "*.pdf" -print0 | xargs -0 -n1 llmind enrich Re-sign with a new key
Rotate the signing key without re-running enrichment. The descriptive and structural layers stay; the provenance layer is rewritten with the new key, version, and timestamp.
llmind sign --key=$NEW_KEY document.pdf The old signature is overwritten. Verifiers using the old key will fail; verifiers using the new key will succeed. See signed semantic metadata for the threat model.
Strip the semantic layer
Remove the LRFS payload from a file (e.g. before publishing externally, or to recover original bytes). Everything LLMind wrote is removed; the file is otherwise unchanged.
llmind strip document.pdf Use enriched files with Claude
Expose an enriched directory to Claude Desktop via the filesystem MCP server. Claude reads the file, parses the XMP packet, and gets the semantic layer alongside the raw bytes — no re-OCR, no re-parsing.
// claude_desktop_config.json
{
"mcpServers": {
"files": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-filesystem", "/path/to/enriched-corpus"]
}
}
} For the full setup walkthrough, see /mcp/claude-desktop/.
Where to go next
- Troubleshooting — common errors and fixes.
- CLI reference — every command and flag.
- Concepts — what's actually being embedded.
- Product CLI overview — the surface for developers and dataset pipelines.
- Use cases — workflow-level patterns.