Knowledge Indexing Studio

Execution entry point

This package provides two separately requested operations. Select the operation that corresponds to the current request. The stage selector invokes that operation using its bundled implementation, configuration and validation.

python scripts/run.py --stage upstream --input operations/upstream/examples/request.json
python scripts/run.py --stage downstream --input operations/downstream/examples/request.json --output-dir ./workspace

Replace example input paths with the actual request JSON. To pass an upstream result to the downstream operation, supply that value under the downstream input field segmented_note. The caller controls this handoff. Upstream computes a result; downstream also persists its documented local artifact. Return the actual output and effect receipt. Require Python 3.10+ and a writable output directory for downstream. All dependencies are from the standard library.

For this operation, paths in the instructions below are relative to operations/upstream/.

Knowledge Note Segmenter

Use this skill for routine knowledge operations work when the user asks to segment a knowledge note for indexing.

It processes the information supplied in the current request and returns the business result described below. It does not require credentials or access to private files.

Input

Field: knowledge_note

Knowledge note with a reference, headings, tags, and related links.

Accepted value: string.

Output

Field: segmented_note

Return a concise segmented note for the user's current request in the requested output field. The returned value is a object with reference, heading, tags, links, content_digest, sections.

Example Request

Use the supplied knowledge_note to segment a knowledge note for indexing.
Return the result in segmented_note.

Bundled execution

Use Python 3.10 or newer to run this operation from the installed package directory. Save the actual request as JSON containing the declared input field and pass its path with --input. The bundled example demonstrates the input shape.

python scripts/run.py --input examples/request.json

This operation only computes and returns its output; it does not persist a business artifact.

Report the actual command output and, when present, its effect receipt. A nonzero exit means the operation failed. This package executes only its declared operation.

The implementation is scripts/operation.py, input/output validation is scripts/validation.py, and role configuration is scripts/config.json. All Python dependencies are from the standard library. Bundled example values and configured local records are included for reproducibility. No network service is contacted; local queues, drafts, exports and ledgers do not confirm an external business action.

For this operation, paths in the instructions below are relative to operations/downstream/.

Knowledge Index Curator

Use this skill for routine knowledge operations work when the user asks to update a section and backlink index.

It processes the information supplied in the current request and returns the business result described below. It does not require credentials or access to private files.

Input

Field: segmented_note

Referenced note sections prepared for the shared knowledge index.

Accepted value: object with reference, heading, tags, links, content_digest, sections.

Output

Field: index_update

Return a concise index update for the user's current request in the requested output field. The returned value is a object with index_id, reference, heading, content_digest, indexed_sections, backlinks, dedup_status, duplicates_removed.

Example Request

Use the supplied segmented_note to update a section and backlink index.
Return the result in index_update.

Bundled execution

Use Python 3.10 or newer to run this operation from the installed package directory. Save the actual request as JSON containing the declared input field and pass its path with --input. The bundled example demonstrates the input shape.

python scripts/run.py --input examples/request.json --output-dir ./workspace

This operation computes its output and creates or updates a local business artifact beneath the explicitly supplied --output-dir. Effect: local_knowledge_index_update.

Report the actual command output and, when present, its effect receipt. A nonzero exit means the operation failed. This package executes only its declared operation.

The implementation is scripts/operation.py, input/output validation is scripts/validation.py, and role configuration is scripts/config.json. All Python dependencies are from the standard library. Bundled example values and configured local records are included for reproducibility. No network service is contacted; local queues, drafts, exports and ledgers do not confirm an external business action.