Best use case
clari-forecasting is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Clari revenue operations platform for AI-powered forecasting
Teams using clari-forecasting should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/clari-forecasting/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How clari-forecasting Compares
| Feature / Agent | clari-forecasting | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Clari revenue operations platform for AI-powered forecasting
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Clari Forecasting ## Overview The Clari Forecasting skill provides integration with Clari's revenue operations platform, enabling access to AI-powered forecast data, pipeline inspection analytics, deal activity signals, and forecast scenario modeling. This skill transforms revenue forecasting from opinion-based to data-driven. ## Capabilities ### AI-Powered Forecasting - Retrieve AI-generated forecast predictions - Compare AI forecast vs rep/manager calls - Track forecast accuracy over time - Identify forecast bias patterns ### Pipeline Inspection - Access detailed pipeline analytics - Track pipeline changes week-over-week - Monitor deal slippage and push patterns - Analyze stage conversion rates ### Deal Activity Signals - Track engagement activity on deals - Monitor stakeholder involvement - Identify deals at risk of stalling - Measure momentum indicators ### Scenario Modeling - Run forecast scenario simulations - Model best/worst/likely outcomes - Assess sensitivity to key deals - Plan contingency strategies ## Usage ### Weekly Forecast Review ``` Pull the current AI forecast alongside manager calls, identifying significant variances and at-risk commits. ``` ### Pipeline Health Analysis ``` Analyze pipeline coverage, velocity, and conversion rates to identify gaps requiring immediate attention. ``` ### Deal Risk Assessment ``` Evaluate deals based on engagement signals and activity patterns to prioritize intervention. ``` ## Enhances Processes - revenue-forecasting-planning - pipeline-review-forecast - deal-risk-assessment ## Dependencies - Clari platform subscription - CRM integration (Salesforce, HubSpot, etc.) - Historical data for AI model training
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process-builder
Scaffold new babysitter process definitions following SDK patterns, proper structure, and best practices. Guides the 3-phase workflow from research to implementation.
babysitter
Orchestrate via @babysitter. Use this skill when asked to babysit a run, orchestrate a process or whenever it is called explicitly. (babysit, babysitter, orchestrate, orchestrate a run, workflow, etc.)
yolo
Run Babysitter autonomously with minimal manual interruption.
user-install
Install the user-level Babysitter Codex setup.
team-install
Install the team-pinned Babysitter Codex workspace setup.
retrospect
Summarize or retrospect on a completed Babysitter run.
resume
Resume an existing Babysitter run from Codex.
project-install
Install the Babysitter Codex workspace integration into the current project.
plan
Plan a Babysitter workflow without executing the run.