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plaud-spoken-field-notes-to-a-structured-sheet

核心功能：提取指定时间窗口内Plaud语音转录的现场细节，按预设字段生成谷歌表格行，不臆造缺失数据，记录处理状态避免重复。典型场景涵盖现场测量、设备参数、检查结果、工单记录等口述工作场景。输入为设定的录音时间范围，输出为追加到谷歌表格的结构化数据行及运行汇总报告，需完成AgentPMT相关账户配置。

agentpmt
热度 17.49
最近更新 2026-07-26 08:03:06
分类：效率依赖：第三方 API / MCP 服务 / 内部调用大模型应用场景：数据处理 / 摘要总结 / 文件转换 / 工作流

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add plaud-spoken-field-notes-to-a-structured-sheet
Metadata
name
plaud-spoken-field-notes-to-a-structured-sheet
description
Plaud Spoken Field Notes to a Structured Sheet: Turns a spoken site visit into a filled-in spreadsheet row, so measurements and specs never get typed up twice. Built for anyone who dictates structured details on the job rather than writing them down: window and flooring measurements, equipment specs, inspection findings, punch lists, service call notes. Say the details out loud in the same order each visit (client, room, width, drop, colour, notes) and the workflow reads each new Plaud recordin.
version
1.0.1
homepage
https://www.agentpmt.com/agent-workflow-skills/plaud-spoken-field-notes-to-a-structured-sheet
compatibility
Agent instructions for AgentPMT-hosted remote tool calls. Follow this skill body for supported account, wallet, and setup routes. No local command runtime is declared.
metadata
{"author":"agentpmt","openclaw":{"homepage":"https://www.agentpmt.com/agent-workflow-skills/plaud-spoken-field-notes-to-a-structured-sheet"}}

Plaud Spoken Field Notes to a Structured Sheet

Freshness

Last updated: 2026-07-26.

If the current date is more than 7 days after the last updated date, reinstall this skill from skills.sh or ClawHub before relying on endpoints, schemas, setup steps, or examples.

What This Workflow Does

Turns a spoken site visit into a filled-in spreadsheet row, so measurements and specs never get typed up twice. Built for anyone who dictates structured details on the job rather than writing them down: window and flooring measurements, equipment specs, inspection findings, punch lists, service call notes. Say the details out loud in the same order each visit (client, room, width, drop, colour, notes) and the workflow reads each new Plaud recording, pulls its transcript, extracts only the values actually spoken, and appends them as one row to your Google Sheet under whatever column headers you have already set up. Values are never inferred: if a measurement was not said, the cell is left empty and flagged in the run summary rather than guessed, because a fabricated number on a quote is worse than a blank one. Recordings that are not field dictations (meetings, personal memos, ambient audio) are logged as skipped and produce no row. A Processed tab records every recording id so the workflow can run on a schedule without duplicating rows. Pair it with your own quote template and the spreadsheet row becomes the quote.

Required Setup

  • AgentPMT overview: ../what-is-agentpmt.
  • Account MCP/REST setup: ../agentpmt-account-mcp-rest-api-setup.

Core AgentPMT setup skills:

  • What AgentPMT is: ../what-is-agentpmt
  • AgentPMT account MCP/REST setup: ../agentpmt-account-mcp-rest-api-setup

skills.sh install script:

npx skills add AgentPMT/agent-skills --skill what-is-agentpmt
npx skills add AgentPMT/agent-skills --skill agentpmt-account-mcp-rest-api-setup

Workflow Session Management

Call AgentPMT-Workflow-Skills with start_workflow before the first step and end_workflow after the final step.

{"action":"start_workflow","skill_id":"plaud-spoken-field-notes-to-a-structured-sheet"}

{"action":"end_workflow","skill_id":"plaud-spoken-field-notes-to-a-structured-sheet","rating":5,"comment":"completed"}

Workflow Process

  1. Get User Timezone and Date
    • Tool product: Get Users Current Time / Date.
    • Tool skill: ../get-users-current-time-date.
    • ClawHub page: https://clawhub.ai/agentpmt/get-users-current-time-date.
    • skills.sh install: npx skills add AgentPMT/agent-skills --skill get-users-current-time-date.
    • Marketplace: https://www.agentpmt.com/marketplace/user-timezone-datetime.
    • Tool instructions: Get the user's current local date, time, timezone and UTC offset. Everything downstream, the requested window, the recording timestamps and any spoken relative date, is resolved against this and never against the server clock.
  2. Ask for the Recording Window
    • Prompt: Establish the exact window of recordings this run covers, in the user's own timezone.
  3. List Plaud Recordings
    • Tool product: Plaud.
    • Tool skill: ../plaud.
    • ClawHub page: https://clawhub.ai/agentpmt/plaud.
    • skills.sh install: npx skills add AgentPMT/agent-skills --skill plaud.
    • Marketplace: https://www.agentpmt.com/marketplace/plaud.
    • Tool instructions: Call list_files with the widened UTC date_from and date_to from the previous step. Plaud's timestamps are inconsistent and must be handled deliberately: the name field carries the recording's LOCAL time (for example '2026-07-25 19:53:50') while start_at and created_at are UTC written as naive strings with no Z and no offset (the same recording reads '2026-07-25T23:53:50'). Treat start_at as UTC, convert it into the user's timezone, and only then decide whether the recording falls inside the requested local window. An evening local recording carries the next day's UTC date, so comparing the raw string silently misfiles it. Display and log times in the user's local timezone. Then drop any recording id already in the Processed tab so a scheduled run never repeats work.
  4. Each New Recording
    • Iterate over the configured collection, then continue through the connected workflow path.
  5. Fetch Transcript
  6. Summarize the Run
    • Prompt: Report what was captured this run so the user can spot a bad extraction before acting on it.
  7. Extract Spoken Fields
    • Prompt: Turn a spoken site-visit dictation into one structured row matching the column headers of the target sheet.
  8. Append Row to Sheet
    • Tool product: Google Sheets.
    • Tool skill: ../google-sheets.
    • ClawHub page: https://clawhub.ai/agentpmt/google-sheets.
    • skills.sh install: npx skills add AgentPMT/agent-skills --skill google-sheets.
    • Marketplace: https://www.agentpmt.com/marketplace/google-sheets-api.
    • Tool instructions: Append the extracted row to the data tab at the true table end, writing any timestamp in the user's local timezone. Then log the recording id to the Processed tab so it is never handled twice. Skipped recordings are logged to Processed with their reason and no data row.

Tool Skill Links

AgentPMT Reference