clari-cost-tuning
Optimize Clari API usage and integration costs. Use when reducing API call volume, optimizing export frequency, or evaluating Clari license utilization. Trigger with phrases like "clari cost", "clari api usage", "reduce clari calls", "clari optimization".
Best use case
clari-cost-tuning is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Optimize Clari API usage and integration costs. Use when reducing API call volume, optimizing export frequency, or evaluating Clari license utilization. Trigger with phrases like "clari cost", "clari api usage", "reduce clari calls", "clari optimization".
Teams using clari-cost-tuning 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-cost-tuning/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How clari-cost-tuning Compares
| Feature / Agent | clari-cost-tuning | 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?
Optimize Clari API usage and integration costs. Use when reducing API call volume, optimizing export frequency, or evaluating Clari license utilization. Trigger with phrases like "clari cost", "clari api usage", "reduce clari calls", "clari optimization".
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.
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SKILL.md Source
# Clari Cost Tuning
## Overview
Minimize Clari API overhead: reduce export frequency, cache aggressively, export only needed data types, and monitor usage.
## Instructions
### Export Only What You Need
```python
# Full export (6 data types) -- more API load
full_types = ["forecast", "quota", "forecast_updated",
"adjustment", "crm_total", "crm_closed"]
# Minimal export (2 data types) -- faster and lighter
minimal_types = ["forecast", "crm_closed"]
# Use minimal for dashboards, full for audit/compliance
```
### Optimize Export Frequency
| Use Case | Recommended Frequency |
|----------|-----------------------|
| Executive dashboard | Daily |
| Forecast accuracy tracking | Weekly |
| Compliance audit | Quarterly |
| Ad-hoc analysis | On demand |
### Cache to Avoid Redundant Exports
```python
# Cache recent exports (see clari-performance-tuning)
cache = ExportCache(ttl_hours=8)
def smart_export(client, forecast_name, period):
cached = cache.get(forecast_name, period)
if cached:
print(f"Cache hit for {period}")
return cached
data = client.export_and_download(forecast_name, period)
entries = data.get("entries", [])
cache.set(forecast_name, period, entries)
return entries
```
### Usage Tracking
```python
class ClariUsageTracker:
def __init__(self):
self.api_calls = 0
self.exports = 0
def track_call(self):
self.api_calls += 1
def track_export(self):
self.exports += 1
def report(self) -> dict:
return {
"api_calls": self.api_calls,
"exports": self.exports,
}
```
## Resources
- [Clari Pricing](https://www.clari.com/pricing)
## Next Steps
For architecture patterns, see `clari-reference-architecture`.Related Skills
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