parallel-data-enrichment
Làm giàu dữ liệu hàng loạt. Thêm các trường lấy từ web (tên CEO, thông tin tài trợ, thông tin liên hệ) vào danh sách công ty, cá nhân hoặc sản phẩm. Sử dụng để làm giàu tệp CSV hoặc…
npx skills add https://github.com/parallel-web/parallel-cursor-plugin --skill parallel-data-enrichmentData Enrichment
Enrich: $ARGUMENTS
Before starting
Inform the user that enrichment may take several minutes depending on the number of rows and fields requested.
Optional: Suggest output columns
If the user gave a vague intent ("enrich these companies with useful info") and you're not sure what columns to add, ask the API for a suggestion before kicking off the run:
parallel-cli enrich suggest "Find CEO and recent funding info" --json
The response is an envelope: {title, processor, enriched_columns, warnings}. Extract just the enriched_columns array (not the whole envelope) and pass it as the value of --enriched-columns on enrich run, in place of --intent — the two flags are alternative ways to specify what to enrich, not combined. If suggest returned a processor, pass it through explicitly via --processor on the run call (it's a tuned recommendation for the schema). Skip this whole section if the user already specified the fields they want.
enrich suggestrequiresparallel-cli≥ 0.3.0. If it errors with anything resemblingno such command/No such command/unknown command, do not bail — skip the suggestion step, fall through to step 1 with--intent, complete the run, and mentionparallel-cli update(orpipx upgrade parallel-web-tools) in the final response so the user picks up the feature next time.
Step 1: Start the enrichment
Use ONE of these command patterns (substitute user's actual data):
For inline data:
parallel-cli enrich run --data '[{"company": "Google"}, {"company": "Microsoft"}]' --intent "CEO name and founding year" --target "output.csv" --no-wait --json
For CSV file:
parallel-cli enrich run --source-type csv --source "input.csv" --target "output.csv" --source-columns '[{"name": "company", "description": "Company name"}]' --intent "CEO name and founding year" --no-wait --json
If this is a follow-up to a previous research task and you have its interaction_id, add context chaining:
parallel-cli enrich run --data '...' --intent "..." --target "output.csv" --no-wait --json --previous-interaction-id "$INTERACTION_ID"
The enrichment will run with the full context of that prior research — so you can enrich entities discovered earlier without restating what was already found. Note: enrichment does not itself produce a new interaction_id, so you cannot chain a further follow-up off of an enrichment.
IMPORTANT: Always include --no-wait so the command returns immediately instead of blocking.
Parse the --json output to extract taskgroup_id and url. The output is {taskgroup_id, url, num_runs} — there is no interaction_id field, do not look for one. Immediately tell the user:
- Enrichment has been kicked off
- The monitoring URL where they can track progress
Tell them they can background the polling step to continue working while it runs.
Step 2: Poll for results
Pick a concrete output path (e.g., /tmp/enrichment-acme.json). Note: the file is JSON regardless of the extension you choose — it's an array of {input, output} objects, not a CSV. Name it .json to avoid confusing yourself or the user.
parallel-cli enrich poll "$TASKGROUP_ID" --timeout 540 --output "/tmp/enrichment-<descriptive-name>.json"
Important:
- Use
--timeout 540(9 minutes) to stay within tool execution limits - The
--targetfrom step 1 is unused in--no-waitmode — only--outputhere determines where results are saved, and the file is always JSON
If the poll times out
Enrichment of large datasets can take longer than 9 minutes. If the poll exits without completing:
- Tell the user the enrichment is still running server-side
- Re-run the same
parallel-cli enrich pollcommand to continue waiting
Response format
After step 1: Share the monitoring URL (for tracking progress).
After step 2:
- Report number of rows enriched
- Preview first few rows from the output file (it's a JSON array of
{input, output}objects) - Tell the user the full path to the output file
Do NOT re-share the monitoring URL after completion — the results are in the output file.
If the parallel-cli binary is not installed
If the shell reports command not found: parallel-cli (i.e. the binary itself is missing — distinct from a No such command error from a stale CLI, which the in-body guidance above covers), stop immediately. Do NOT search the web yourself, do NOT use any built-in search tools, and do NOT try to answer the query from your own knowledge. Instead, tell the user:
parallel-cliis not installed- Run
/parallel-setupto install it - Then retry their request