log-call-transcripts Skill
Analyzes sales call transcripts to extract key information and automatically logs the call as a Phone Call activity in Dataverse. Use when user says "log this call", "process this transcript", "save this call to CRM", "create a phone call record from this transcript", uploads a call recording transcript, or pastes meet Published by microsoft in dataverse-business-skills.
Decision snapshot
Is this a fit?
Data analysis, Includes SKILL.md, Reusable instructions
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Copy skill directory
6 months ago · MIT license
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What is log-call-transcripts Skill?
Analyzes sales call transcripts to extract key information and automatically logs the call as a Phone Call activity in Dataverse. Use when user says "log this call", "process this transcript", "save this call to CRM", "create a phone call record from this transcript", uploads a call recording transcript, or pastes meet Published by microsoft in dataverse-business-skills. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Data analysis
- Data analysis use cases
Declared skill metadata
- Declared author: Dataverse
- Source file: skills/log-call-transcripts/SKILL.md
These fields retain source and confidence evidence from the indexed SKILL.md.
Compatibility and setup
- Install or run with Copy skill directory
When to use log-call-transcripts Skill
- Use it for data analysis.
Built with
Editorial notes
Source
- Creator: microsoft
- Repository: microsoft/dataverse-business-skills
- Skill file: skills/log-call-transcripts/SKILL.md
What it does
Analyzes sales call transcripts to extract key information and automatically logs the call as a Phone Call activity in Dataverse. Use when user says "log this call", "process this transcript", "save this call to CRM", "create a phone call record from this transcript", uploads a call recording transcript, or pastes meet
Skill instructions
Log Call Transcripts When a sales representative uploads or provides a call transcript, this skill extracts actionable information from the conversation and creates a properly structured Phone Call activity record in Dataverse. This eliminates manual data entry and ensures consistent activity logging across the sales team. Instructions Step 1: Receive and Parse Transcript When the user provides a call transcript: 1. Accept the transcript content (text or file upload) 2. Identify the transcript format and parse it appropriately 3. Extract speaker labels if available (e.g., "Sales Rep:", "Customer:") Step 2: Extract Key Information from Transcript Analyze the transcript to identify and extract: Participant Information: - Customer name(s) mentioned - Company/Account name mentioned - Customer's role or title if mentioned - Phone numbers discussed Call Metadata: - Call duration (if mentioned or calculable) - Date/time of call (if mentioned, otherwise use current datetime) - Call direction (
Verified compatibility and discovery
Frequently asked questions
What is log-call-transcripts?
log-call-transcripts is a open-source AI agent skill with Copy skill directory. Analyzes sales call transcripts to extract key information and automatically logs the call as a Phone Call activity in Dataverse.
Who is log-call-transcripts best for?
log-call-transcripts is best for reusing agent instructions, scripts, and references, data analysis workflows.
How do I install log-call-transcripts?
Install or run log-call-transcripts using Copy skill directory. Check log-call-transcripts for the latest setup command.
Is log-call-transcripts actively maintained?
log-call-transcripts may need a closer maintenance check before production use.
Project health auto-fetched from the source repository.
Maintain this resource?
Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.