clade-data-handling
Handle sensitive data with Claude — PII redaction, conversation management, Use when working with data-handling patterns. context window optimization, and data retention policies. Trigger with "anthropic data privacy", "claude pii", "anthropic context window", "manage claude conversations", "anthropic data retention".
Best use case
clade-data-handling is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Handle sensitive data with Claude — PII redaction, conversation management, Use when working with data-handling patterns. context window optimization, and data retention policies. Trigger with "anthropic data privacy", "claude pii", "anthropic context window", "manage claude conversations", "anthropic data retention".
Teams using clade-data-handling 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/clade-data-handling/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How clade-data-handling Compares
| Feature / Agent | clade-data-handling | 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?
Handle sensitive data with Claude — PII redaction, conversation management, Use when working with data-handling patterns. context window optimization, and data retention policies. Trigger with "anthropic data privacy", "claude pii", "anthropic context window", "manage claude conversations", "anthropic data retention".
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
# Anthropic Data Handling
## Overview
Handle data responsibly when building with Claude — manage the 200K token context window efficiently, implement conversation trimming strategies, redact PII before sending to the API, and configure data retention settings.
## Context Window Management
Claude models have a 200K token context window. Managing it efficiently is critical.
```typescript
// Count tokens before sending
const count = await client.messages.countTokens({
model: 'claude-sonnet-4-20250514',
messages,
system: systemPrompt,
});
// Budget: 200K total - max_tokens (output) = available input
const MAX_CONTEXT = 200_000;
const MAX_OUTPUT = 4096;
const inputBudget = MAX_CONTEXT - MAX_OUTPUT;
if (count.input_tokens > inputBudget) {
// Trim oldest messages, keep system prompt + recent context
messages = trimToFit(messages, inputBudget);
}
```
## Instructions
### Step 1: Conversation Trimming
```typescript
function trimConversation(messages: MessageParam[], maxTokens: number): MessageParam[] {
// Always keep the first message (often contains key context)
// Keep the most recent messages
// Drop middle turns first
if (messages.length <= 4) return messages;
const first = messages[0];
const recent = messages.slice(-6); // Last 3 turns
return [first, ...recent];
}
```
## PII Handling
```typescript
// Strip PII before sending to Claude (if not needed for the task)
function redactPII(text: string): string {
return text
.replace(/\b[\w._%+-]+@[\w.-]+\.\w{2,}\b/g, '[EMAIL]')
.replace(/\b\d{3}[-.]?\d{3}[-.]?\d{4}\b/g, '[PHONE]')
.replace(/\b\d{3}-\d{2}-\d{4}\b/g, '[SSN]')
.replace(/\b\d{4}[\s-]?\d{4}[\s-]?\d{4}[\s-]?\d{4}\b/g, '[CARD]');
}
```
## Data Retention
- **Default**: Anthropic does not use API data for training
- **Zero retention**: Available on Enterprise plans
- **Your responsibility**: Don't store Claude responses containing user PII longer than needed
## Output
- Token counting implemented before sending requests (prevents context overflow errors)
- Conversation trimming preserving first message and recent turns
- PII redaction applied for emails, phone numbers, SSNs, and card numbers
- Data retention policy documented and configured
## Error Handling
| Error | Cause | Solution |
|-------|-------|----------|
| API Error | Check error type and status code | See `clade-common-errors` |
## Examples
See Context Window Management (token counting + budget), Conversation Trimming function, and PII Handling regex patterns above.
## Resources
- [Anthropic Privacy Policy](https://www.anthropic.com/policies/privacy)
- [Token Counting](https://docs.anthropic.com/en/api/counting-tokens)
- [Context Window](https://docs.anthropic.com/en/docs/about-claude/models)
## Next Steps
See `clade-enterprise-rbac` for organization and access management.
## Prerequisites
- Completed `clade-install-auth`
- Application handling user conversations or document processing
- Understanding of token counting and context windowsRelated Skills
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