home / skills / thebushidocollective / han / context-management
/plugins/specialized/claude-agent-sdk/skills/context-management
This skill helps you manage Claude agent memory, context, and conversation state across projects and users using the Agent SDK.
npx playbooks add skill thebushidocollective/han --skill context-managementReview the files below or copy the command above to add this skill to your agents.
---
name: claude-agent-sdk-context-management
description: Use when managing agent context, memory, and conversation state in Claude AI agents using the Agent SDK.
allowed-tools:
- Read
- Write
- Edit
- Bash
- Grep
- Glob
---
# Claude Agent SDK - Context Management
Managing agent memory, context, and conversation state in the Claude Agent SDK.
## Setting Sources
### Project Memory
```typescript
import { Agent } from '@anthropic-ai/claude-agent-sdk';
// Load project-specific context from .claude/CLAUDE.md
const agent = new Agent({
settingSources: ['project'],
});
```
### User Memory
```typescript
// Load user preferences from ~/.claude/CLAUDE.md
const agent = new Agent({
settingSources: ['user'],
});
```
### Combined Sources
```typescript
// Load both user and project settings
const agent = new Agent({
settingSources: ['user', 'project'],
});
```
## CLAUDE.md Files
### Project Context (.claude/CLAUDE.md)
```markdown
# Project Context
This is a TypeScript web application using React and Next.js.
## Code Style
- Use functional components
- Prefer hooks over class components
- Use TypeScript strict mode
## Architecture
- API routes in /pages/api
- Components in /components
- Utilities in /lib
```
### User Preferences (~/.claude/CLAUDE.md)
```markdown
# User Preferences
## Communication Style
- Be concise
- Show code examples
- Explain reasoning
## Development Environment
- Primary editor: VS Code
- Node version: 20.x
- Package manager: pnpm
```
## System Prompts
### Direct System Prompt
```typescript
const agent = new Agent({
systemPrompt: `You are an expert TypeScript developer.
Follow these guidelines:
- Use strict type checking
- Prefer immutability
- Write comprehensive tests`,
});
```
### Dynamic System Prompt
```typescript
const projectType = detectProjectType();
const agent = new Agent({
systemPrompt: `You are a ${projectType} specialist.
Current project: ${process.cwd()}
Node version: ${process.version}`,
});
```
## Conversation State
### Single-Turn Conversations
```typescript
const agent = new Agent({
settingSources: ['project'],
});
const response = await agent.chat('What is this project about?');
console.log(response);
```
### Multi-Turn Conversations
```typescript
const agent = new Agent({
settingSources: ['project'],
});
// First turn
const response1 = await agent.chat('List all API endpoints');
// Second turn - agent remembers previous context
const response2 = await agent.chat('Add authentication to the login endpoint');
// Third turn
const response3 = await agent.chat('Write tests for the changes you just made');
```
### Conversation History
```typescript
import { query } from '@anthropic-ai/claude-agent-sdk';
const conversation = query({
prompt: 'Help me refactor this code',
options: {
settingSources: ['project'],
},
});
// Access conversation history
for await (const message of conversation) {
console.log('Role:', message.role);
console.log('Content:', message.content);
}
```
## Context Limits
### Managing Context Size
```typescript
const agent = new Agent({
model: 'claude-3-5-sonnet-20241022',
systemPrompt: 'You are a code reviewer',
// Agent automatically manages context window
});
// For very large files, chunk the content
const largeFile = await readFile('huge-file.ts');
const chunks = chunkContent(largeFile, 10000);
for (const chunk of chunks) {
await agent.chat(`Review this section:\n\n${chunk}`);
}
```
### Context Summarization
```typescript
// Agent can summarize previous context to fit window
const agent = new Agent({
settingSources: ['project'],
});
// Long conversation
await agent.chat('Explain the authentication system');
await agent.chat('How does session management work?');
await agent.chat('What about password hashing?');
// Agent maintains relevant context automatically
await agent.chat('Update the login endpoint to use bcrypt');
```
## Memory Persistence
### Storing Conversation State
```typescript
import { query } from '@anthropic-ai/claude-agent-sdk';
const conversationFile = './conversation-state.json';
// Load previous conversation
let messages = [];
if (existsSync(conversationFile)) {
messages = JSON.parse(readFileSync(conversationFile, 'utf8'));
}
const conversation = query({
prompt: 'Continue where we left off',
options: {
settingSources: ['project'],
// Pass previous messages if API supports it
},
});
// Save conversation state
const newMessages = [];
for await (const message of conversation) {
newMessages.push(message);
}
writeFileSync(
conversationFile,
JSON.stringify([...messages, ...newMessages], null, 2),
);
```
## Best Practices
### Separate Project and User Context
```typescript
// Good: Clear separation
const agent = new Agent({
settingSources: ['user', 'project'],
systemPrompt: `Additional task-specific context`,
});
// Avoid: Mixing contexts in system prompt
const agent = new Agent({
systemPrompt: `
User preference: Be concise
Project: TypeScript + React
Task: Review code
`, // Hard to maintain
});
```
### Keep CLAUDE.md Files Focused
```markdown
<!-- Good: Focused project context -->
# Project Context
## Technology Stack
- Next.js 14
- TypeScript 5
- Tailwind CSS
## Key Conventions
- Use server components by default
- Client components only when needed
- API routes follow REST conventions
```
```markdown
<!-- Avoid: Too much detail -->
# Project Context
## Technology Stack
- Next.js 14.2.3
- TypeScript 5.4.2
- Tailwind CSS 3.4.1
- ...50 more dependencies
## Every Single File
- src/app/page.tsx: Homepage
- src/app/about/page.tsx: About page
- ...200 more files
```
### Update Context as Project Evolves
```bash
# Update .claude/CLAUDE.md when architecture changes
echo "## New Features\n- Added GraphQL API\n- Migrated to PostgreSQL" >> .claude/CLAUDE.md
```
## Anti-Patterns
### Don't Duplicate Context
```typescript
// Bad: Duplicating project info in system prompt
const agent = new Agent({
settingSources: ['project'], // Already loads .claude/CLAUDE.md
systemPrompt: `This is a React app using TypeScript`, // Redundant
});
// Good: Let settingSources handle it
const agent = new Agent({
settingSources: ['project'],
systemPrompt: `Additional task-specific guidance`,
});
```
### Don't Hardcode Paths
```typescript
// Bad: Hardcoded paths
const agent = new Agent({
systemPrompt: `Project location: /Users/me/projects/myapp`,
});
// Good: Use relative or dynamic paths
const agent = new Agent({
systemPrompt: `Project root: ${process.cwd()}`,
});
```
### Don't Store Secrets in CLAUDE.md
```markdown
<!-- Bad: Secrets in context -->
# Project Context
Database: postgresql://user:password@localhost/db
API Key: sk-secret-key-here
```
```markdown
<!-- Good: Reference environment -->
# Project Context
Database: Configured via DATABASE_URL env var
API Key: Set OPENAI_API_KEY environment variable
```
## Advanced Patterns
### Context Injection
```typescript
const agent = new Agent({
settingSources: ['project'],
systemPrompt: `
Current branch: ${execSync('git branch --show-current').toString().trim()}
Uncommitted changes: ${execSync('git status --short').toString()}
`,
});
```
### Role-Based Context
```typescript
function createSpecializedAgent(role: 'reviewer' | 'implementer' | 'tester') {
const rolePrompts = {
reviewer: 'Focus on code quality and best practices',
implementer: 'Write production-ready code',
tester: 'Create comprehensive test coverage',
};
return new Agent({
settingSources: ['project'],
systemPrompt: rolePrompts[role],
});
}
const reviewer = createSpecializedAgent('reviewer');
const implementer = createSpecializedAgent('implementer');
```
## Related Skills
- **agent-creation**: Agent initialization and configuration
- **tool-integration**: Working with tools and MCP servers
This skill helps manage agent context, memory, and conversation state in Claude AI agents using the Agent SDK. It documents how to load project and user CLAUDE.md sources, configure system prompts, and persist or summarize conversation history. The aim is predictable, maintainable agent behavior across single- and multi-turn interactions.
The skill configures an Agent instance with settingSources to load project-level and user-level context from .claude/CLAUDE.md and ~/.claude/CLAUDE.md. It shows how to supply direct or dynamic system prompts, stream and query conversation history, and persist messages to disk. It also demonstrates strategies for chunking large content, automatic summarization, and role-based context injection to keep conversations concise and relevant.
How do I avoid leaking secrets into CLAUDE.md?
Never store secrets in CLAUDE.md. Reference environment variables or secret stores and instruct the agent to read those at runtime instead.
What if my project context exceeds the model window?
Chunk large files and feed them incrementally. Rely on the agent's summarization capabilities to compress earlier turns into shorter summaries that preserve relevant facts.