Skip to content
Back to skills

Clari Core Workflow B

ASecurity

Extract Clari Copilot calls, details, users, topics, and scorecards into a governed analytics flow. Use when building conversation or coaching datasets. Trigger with: "export Clari Copilot calls", "build conversation analytics", "load Copilot scorecards".

  • 2,719 stars
  • 0 votes
  • 0 copies
  • 2 views
  • Added September 21, 2026
ai-agentsgoapi

Works with

  • cursor
  • api

Security analysis

A100/100

Pro scans all 2 files and shows the line behind each finding

Scanned September 21, 2026

npx -y skills add jeremylongshore/claude-code-plugins-plus --skill clari-core-workflow-b --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Clari Core Workflow B?

Add the live security badge to your README. It updates with every re-scan.

Security grade badge for Clari Core Workflow B
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/jeremylongshore-clari-core-workflow-b-0c6456eb/badge)](https://www.skillsdirectory.com/skills/jeremylongshore-clari-core-workflow-b-0c6456eb)

More formats (shields.io, HTML) on the badges page. Keep it an A: scan every change in CI with Pro.

Download with Pro
SKILL.md
---
name: clari-core-workflow-b
description: >-
  Extract Clari Copilot calls, details, users, topics, and scorecards into a governed analytics flow. Use when building conversation or coaching datasets. Trigger with: "export Clari Copilot calls", "build conversation analytics", "load Copilot scorecards".
allowed-tools: Read, Grep, Write, Edit
version: 2.0.0
argument-hint: '[workspace-time-window-and-dataset]'
model: inherit
effort: high
license: MIT
author: Jeremy Longshore <jeremy@intentsolutions.io>
tags:
  - saas
  - clari
  - copilot
  - conversation-intelligence
  - analytics
compatibility: 'Requires entitlement to the Clari conversation-intelligence API, workspace integration credentials, and approval to process recordings, transcripts, and participant data.'
---

# Clari Copilot Conversation Intelligence Extraction

## Overview

Treat Copilot as a separate data product rather than an extension of Revenue API exports. Build a metadata-first extraction that minimizes sensitive content, joins stable identifiers, and records the exact window and pagination boundary.

## Prerequisites

- Copilot API key/password pair stored in an approved secret manager
- Authorized time window, user population, and data-classification decision
- Destination controls suitable for call and participant data

## Instructions

### Step 1: Inventory the required resources

Choose only the calls, call details, users, topics, scorecards, and templates necessary for the approved use case.

### Step 2: Freeze the extraction window

Record workspace, start and end time, pagination order, and inclusion rules so reruns are deterministic.

### Step 3: Fetch metadata first

List users, topics, scorecard templates, and call summaries before requesting detailed call content.

### Step 4: Retrieve bounded details

Request call details only for selected call IDs, honor both documented rate ceilings, and checkpoint pagination without duplicates.

### Step 5: Normalize with privacy controls

Separate identities, call metadata, scoring, and sensitive content; tokenize joins and restrict transcript or recording access.

### Step 6: Reconcile and publish

Compare requested and received IDs, record missing or changed calls, and publish only the authorized dataset with lineage.

## Authentication

Send both `X-Api-Key` and `X-Api-Password` to the Copilot host over HTTPS. Do not substitute the Revenue `apikey`; redact both Copilot credentials and minimize logs containing call titles, participant data, transcripts, or recording links.

## Tool Discipline

Use Read and Grep to inspect configuration, provider contracts, fixtures, logs, schemas, and existing tests before proposing a change. Use Write or Edit only for the approved plan, implementation, test, or redacted receipt; do not issue, rotate, revoke, create, update, cancel, delete, export, ingest, or publish provider data without explicit operator approval.

## Output

- Windowed extraction manifest and pagination checkpoints
- Governed call, user, topic, and scorecard datasets
- Reconciliation, privacy-classification, and publication receipt

Return the exact surface, environment, resource or job identifiers, contract fingerprint, evidence, unresolved risks, and final decision without exposing credentials or sensitive customer data.

## Examples

A coaching dataset lists calls for one approved week, selects only calls for an authorized team, retrieves details under the documented limits, tokenizes participant joins, and records missing IDs before publication.

## Error Handling

| Failure | Response |
| --- | --- |
| One credential header is missing | Stop and validate the Copilot credential pair; do not fall back to a Revenue token. |
| Rate ceiling is reached | Honor retry timing, checkpoint the cursor, and resume without widening concurrency. |
| Detailed content exceeds approval | Publish metadata only and quarantine or omit transcripts and recording references. |

## Resources

- [First-party source notes](references/official-docs.md)
- [Clari Copilot API reference](https://api-doc.copilot.clari.com/)

Files in this skill

  • SKILL.md4 KB
  • references/official-docs.md1.9 KB

Attribution

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments

Loading comments…

Newsletter

Get the weekly list of safe new skills, and the ones we pulled.