parallel-data-enrichment by parallel-web/parallel-agent-skills
npx skills add https://github.com/parallel-web/parallel-agent-skills --skill parallel-data-enrichment增强:$ARGUMENTS
告知用户,根据请求的行数和字段数量,增强过程可能需要几分钟时间。
使用以下命令模式之一(替换为用户的实际数据):
对于内联数据:
parallel-cli enrich run --data '[{"company": "Google"}, {"company": "Microsoft"}]' --intent "CEO name and founding year" --target "output.csv" --no-wait
对于 CSV 文件:
parallel-cli enrich run --source-type csv --source "input.csv" --target "output.csv" --source-columns '[{"name": "company", "description": "Company name"}]' --intent "CEO name and founding year" --no-wait
如果这是先前研究或增强任务的后续操作,并且您知道 interaction_id,请添加上下文链:
parallel-cli enrich run --data '...' --intent "..." --target "output.csv" --no-wait --previous-interaction-id "$INTERACTION_ID"
通过在请求之间链接 interaction_id 值,每个后续操作都会自动拥有先前轮次的完整上下文——因此您可以增强早期研究中发现的实体,而无需重复已找到的内容。
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重要: 务必包含 --no-wait,以便命令立即返回而不是阻塞。
解析输出以提取 taskgroup_id、interaction_id 和监控 URL。立即告知用户:
告诉他们,在任务运行时,可以将轮询步骤置于后台以继续工作。
parallel-cli enrich poll "$TASKGROUP_ID" --timeout 540
重要:
--timeout 540(9分钟)以保持在工具执行限制内大型数据集的增强可能需要超过 9 分钟的时间。如果轮询退出但未完成:
parallel-cli enrich poll 命令以继续等待步骤 1 之后: 分享监控 URL(用于跟踪进度)。
步骤 2 之后:
interaction_id 并告知用户可以提出基于此增强的后续问题完成后不要重新分享监控 URL——结果已在输出文件中。
记住 interaction_id — 如果用户提出与此增强相关的后续问题,请在下一个研究或增强命令中将其用作 --previous-interaction-id。
如果未找到 parallel-cli,请安装并进行身份验证:
curl -fsSL https://parallel.ai/install.sh | bash
如果无法通过上述方式安装,请改用 pipx 安装:
pipx install "parallel-web-tools[cli]"
pipx ensurepath
然后进行身份验证:
parallel-cli login
或者设置 API 密钥:export PARALLEL_API_KEY="your-key"
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Enrich: $ARGUMENTS
Inform the user that enrichment may take several minutes depending on the number of rows and fields requested.
Use ONE of these command patterns (substitute user's actual data):
For inline data:
parallel-cli enrich run --data '[{"company": "Google"}, {"company": "Microsoft"}]' --intent "CEO name and founding year" --target "output.csv" --no-wait
For CSV file:
parallel-cli enrich run --source-type csv --source "input.csv" --target "output.csv" --source-columns '[{"name": "company", "description": "Company name"}]' --intent "CEO name and founding year" --no-wait
If this is a follow-up to a previous research or enrichment task where you know the interaction_id, add context chaining:
parallel-cli enrich run --data '...' --intent "..." --target "output.csv" --no-wait --previous-interaction-id "$INTERACTION_ID"
By chaining interaction_id values across requests, each follow-up automatically has the full context of prior turns — so you can enrich entities discovered in earlier research without restating what was already found.
IMPORTANT: Always include --no-wait so the command returns immediately instead of blocking.
Parse the output to extract the taskgroup_id, interaction_id, and monitoring URL. Immediately tell the user:
Tell them they can background the polling step to continue working while it runs.
parallel-cli enrich poll "$TASKGROUP_ID" --timeout 540
Important:
--timeout 540 (9 minutes) to stay within tool execution limitsEnrichment of large datasets can take longer than 9 minutes. If the poll exits without completing:
parallel-cli enrich poll command to continue waitingAfter step 1: Share the monitoring URL (for tracking progress).
After step 2:
interaction_id and tell the user they can ask follow-up questions that build on this enrichmentDo NOT re-share the monitoring URL after completion — the results are in the output file.
Remember theinteraction_id — if the user asks a follow-up question that relates to this enrichment, use it as --previous-interaction-id in the next research or enrichment command.
If parallel-cli is not found, install and authenticate:
curl -fsSL https://parallel.ai/install.sh | bash
If unable to install that way, install via pipx instead:
pipx install "parallel-web-tools[cli]"
pipx ensurepath
Then authenticate:
parallel-cli login
Or set an API key: export PARALLEL_API_KEY="your-key"
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