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lambda

AWS Lambda serverless functions for event-driven compute. Use when creating functions, configuring triggers, debugging invocations, optimizing cold starts, setting up event source mappings, or managing layers.

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Precio sin confirmar★ 1,150 Estrellas de GitHubRegistro actualizado · 2 sept 2026agent-skill

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AWS Lambda

AWS Lambda runs code without provisioning servers. You pay only for compute time consumed. Lambda automatically scales from a few requests per day to thousands per second.

Core Concepts
Common Patterns
CLI Reference
Best Practices
Troubleshooting
References

Core Concepts

Function

Your code packaged with configuration. Includes runtime, handler, memory, timeout, and IAM role.

Invocation Types

Type	Description	Use Case
Synchronous	Caller waits for response	API Gateway, direct invoke
Asynchronous	Fire and forget	S3, SNS, EventBridge
Poll-based	Lambda polls source	SQS, Kinesis, DynamoDB Streams

Execution Environment

Lambda creates execution environments to run your function. Components:

Cold start: New environment initialization
Warm start: Reusing existing environment
Handler: Entry point function
Context: Runtime information

Layers

Reusable packages of libraries, dependencies, or custom runtimes (up to 5 per function).

Common Patterns

Create a Python Function

AWS CLI:

# Create deployment package
zip function.zip lambda_function.py

# Create function
aws lambda create-function \
  --function-name MyFunction \
  --runtime python3.12 \
  --role arn:aws:iam::123456789012:role/lambda-role \
  --handler lambda_function.handler \
  --zip-file fileb://function.zip \
  --timeout 30 \
  --memory-size 256

# Update function code
aws lambda update-function-code \
  --function-name MyFunction \
  --zip-file fileb://function.zip

boto3:

import boto3
import zipfile
import io

lambda_client = boto3.client('lambda')

# Create zip in memory
zip_buffer = io.BytesIO()
with zipfile.ZipFile(zip_buffer, 'w') as zf:
    zf.writestr('lambda_function.py', '''
def handler(event, context):
    return {"statusCode": 200, "body": "Hello"}
''')
zip_buffer.seek(0)

# Create function
lambda_client.create_function(
    FunctionName='MyFunction',
    Runtime='python3.12',
    Role='arn:aws:iam::123456789012:role/lambda-role',
    Handler='lambda_function.handler',
    Code={'ZipFile': zip_buffer.read()},
    Timeout=30,
    MemorySize=256
)

Add S3 Trigger

# Add permission for S3 to invoke Lambda
aws lambda add-permission \
  --function-name MyFunction \
  --statement-id s3-trigger \
  --action lambda:InvokeFunction \
  --principal s3.amazonaws.com \
  --source-arn arn:aws:s3:::my-bucket \
  --source-account 123456789012

# Configure S3 notification (see S3 skill)

Add SQS Event Source

aws lambda create-event-source-mapping \
  --function-name MyFunction \
  --event-source-arn arn:aws:sqs:us-east-1:123456789012:my-queue \
  --batch-size 10 \
  --maximum-batching-window-in-seconds 5

Environment Variables

aws lambda update-function-configuration \
  --function-name MyFunction \
  --environment "Variables={DB_HOST=mydb.cluster-xyz.us-east-1.rds.amazonaws.com,LOG_LEVEL=INFO}"

Create and Attach Layer

# Create layer
zip -r layer.zip python/

aws lambda publish-layer-version \
  --layer-name my-dependencies \
  --compatible-runtimes python3.12 \
  --zip-file fileb://layer.zip

# Attach to function
aws lambda update-function-configuration \
  --function-name MyFunction \
  --layers arn:aws:lambda:us-east-1:123456789012:layer:my-dependencies:1

Invoke Function

# Synchronous invoke
aws lambda invoke \
  --function-name MyFunction \
  --payload '{"key": "value"}' \
  response.json

# Asynchronous invoke
aws lambda invoke \
  --function-name MyFunction \
  --invocation-type Event \
  --payload '{"key": "value"}' \
  response.json

CLI Reference

Function Management

Command	Description
`aws lambda create-function`	Create new function
`aws lambda update-function-code`	Update function code
`aws lambda update-function-configuration`	Update settings
`aws lambda delete-function`	Delete function
`aws lambda list-functions`	List all functions
`aws lambda get-function`	Get function details

Invocation

Command	Description
`aws lambda invoke`	Invoke function
`aws lambda invoke-async`	Async invoke (deprecated)

Event Sources

Command	Description
`aws lambda create-event-source-mapping`	Add event source
`aws lambda list-event-source-mappings`	List mappings
`aws lambda update-event-source-mapping`	Update mapping
`aws lambda delete-event-source-mapping`	Remove mapping

Permissions

Command	Description
`aws lambda add-permission`	Add resource-based policy
`aws lambda remove-permission`	Remove permission
`aws lambda get-policy`	View resource policy

Best Practices

Performance

Right-size memory: More memory = more CPU = faster execution
Minimize cold starts: Keep functions warm, use Provisioned Concurrency
Optimize package size: Smaller packages deploy faster
Use layers for shared dependencies
Initialize outside handler: Reuse connections across invocations

# GOOD: Initialize outside handler
import boto3
dynamodb = boto3.resource('dynamodb')
table = dynamodb.Table('MyTable')

def handler(event, context):
    # Reuses existing connection
    return table.get_item(Key={'id': event['id']})

Security

Least privilege IAM roles — only grant needed permissions
Use Secrets Manager for sensitive data
Enable VPC only if needed (adds latency)
Encrypt environment variables with KMS

Cost Optimization

Set appropriate timeout — don't use max 15 minutes unnecessarily
Use ARM architecture (Graviton2) for 34% better price/performance
Batch process where possible
Use Reserved Concurrency to limit costs

Reliability

Configure DLQ for async invocations
Handle retries — async events retry twice
Make handlers idempotent
Use structured logging

Troubleshooting

Timeout Errors

Symptom: Task timed out after X seconds

Causes:

Function takes longer than timeout
Network call to unreachable resource
VPC configuration issues

Debug:

# Check function configuration
aws lambda get-function-configuration \
  --function-name MyFunction \
  --query "Timeout"

# Increase timeout
aws lambda update-function-configuration \
  --function-name MyFunction \
  --timeout 60

Out of Memory

Symptom: Function crashes with memory error

Fix:

aws lambda update-function-configuration \
  --function-name MyFunction \
  --memory-size 512

Cold Start Latency

Causes:

Large deployment package
VPC configuration
Many dependencies to load

Solutions:

Use Provisioned Concurrency
Reduce package size
Use layers for dependencies
Consider Graviton2 (ARM)

# Enable Provisioned Concurrency
aws lambda put-provisioned-concurrency-config \
  --function-name MyFunction \
  --qualifier LIVE \
  --provisioned-concurrent-executions 5

Permission Denied

Symptom: AccessDeniedException

Debug:

# Check execution role
aws lambda get-function-configuration \
  --function-name MyFunction \
  --query "Role"

# Check role policies
aws iam list-attached-role-policies \
  --role-name lambda-role

VPC Connectivity Issues

Symptom: Cannot reach internet or AWS services

Causes:

No NAT Gateway for internet access
Missing VPC endpoint for AWS services
Security group blocking outbound

Solutions:

Add NAT Gateway for internet
Add VPC endpoints for AWS services
Check security group rules

References

Ver fuente ↗

Metadatos del archivo

name: lambda
description: AWS Lambda serverless functions for event-driven compute. Use when creating functions, configuring triggers, debugging invocations, optimizing cold starts, setting up event source mappings, or managing layers.
last_updated: "2026-01-07"
doc_source: https://docs.aws.amazon.com/lambda/latest/dg/

Ver texto original

---
name: lambda
description: AWS Lambda serverless functions for event-driven compute. Use when creating functions, configuring triggers, debugging invocations, optimizing cold starts, setting up event source mappings, or managing layers.
last_updated: "2026-01-07"
doc_source: https://docs.aws.amazon.com/lambda/latest/dg/
---

# AWS Lambda

AWS Lambda runs code without provisioning servers. You pay only for compute time consumed. Lambda automatically scales from a few requests per day to thousands per second.

## Table of Contents

- [Core Concepts](#core-concepts)
- [Common Patterns](#common-patterns)
- [CLI Reference](#cli-reference)
- [Best Practices](#best-practices)
- [Troubleshooting](#troubleshooting)
- [References](#references)

## Core Concepts

### Function

Your code packaged with configuration. Includes runtime, handler, memory, timeout, and IAM role.

### Invocation Types

| Type | Description | Use Case |
|------|-------------|----------|
| **Synchronous** | Caller waits for response | API Gateway, direct invoke |
| **Asynchronous** | Fire and forget | S3, SNS, EventBridge |
| **Poll-based** | Lambda polls source | SQS, Kinesis, DynamoDB Streams |

### Execution Environment

Lambda creates execution environments to run your function. Components:
- **Cold start**: New environment initialization
- **Warm start**: Reusing existing environment
- **Handler**: Entry point function
- **Context**: Runtime information

### Layers

Reusable packages of libraries, dependencies, or custom runtimes (up to 5 per function).

## Common Patterns

### Create a Python Function

**AWS CLI:**

```bash
# Create deployment package
zip function.zip lambda_function.py

# Create function
aws lambda create-function \
  --function-name MyFunction \
  --runtime python3.12 \
  --role arn:aws:iam::123456789012:role/lambda-role \
  --handler lambda_function.handler \
  --zip-file fileb://function.zip \
  --timeout 30 \
  --memory-size 256

# Update function code
aws lambda update-function-code \
  --function-name MyFunction \
  --zip-file fileb://function.zip
```

**boto3:**

```python
import boto3
import zipfile
import io

lambda_client = boto3.client('lambda')

# Create zip in memory
zip_buffer = io.BytesIO()
with zipfile.ZipFile(zip_buffer, 'w') as zf:
    zf.writestr('lambda_function.py', '''
def handler(event, context):
    return {"statusCode": 200, "body": "Hello"}
''')
zip_buffer.seek(0)

# Create function
lambda_client.create_function(
    FunctionName='MyFunction',
    Runtime='python3.12',
    Role='arn:aws:iam::123456789012:role/lambda-role',
    Handler='lambda_function.handler',
    Code={'ZipFile': zip_buffer.read()},
    Timeout=30,
    MemorySize=256
)
```

### Add S3 Trigger

```bash
# Add permission for S3 to invoke Lambda
aws lambda add-permission \
  --function-name MyFunction \
  --statement-id s3-trigger \
  --action lambda:InvokeFunction \
  --principal s3.amazonaws.com \
  --source-arn arn:aws:s3:::my-bucket \
  --source-account 123456789012

# Configure S3 notification (see S3 skill)
```

### Add SQS Event Source

```bash
aws lambda create-event-source-mapping \
  --function-name MyFunction \
  --event-source-arn arn:aws:sqs:us-east-1:123456789012:my-queue \
  --batch-size 10 \
  --maximum-batching-window-in-seconds 5
```

### Environment Variables

```bash
aws lambda update-function-configuration \
  --function-name MyFunction \
  --environment "Variables={DB_HOST=mydb.cluster-xyz.us-east-1.rds.amazonaws.com,LOG_LEVEL=INFO}"
```

### Create and Attach Layer

```bash
# Create layer
zip -r layer.zip python/

aws lambda publish-layer-version \
  --layer-name my-dependencies \
  --compatible-runtimes python3.12 \
  --zip-file fileb://layer.zip

# Attach to function
aws lambda update-function-configuration \
  --function-name MyFunction \
  --layers arn:aws:lambda:us-east-1:123456789012:layer:my-dependencies:1
```

### Invoke Function

```bash
# Synchronous invoke
aws lambda invoke \
  --function-name MyFunction \
  --payload '{"key": "value"}' \
  response.json

# Asynchronous invoke
aws lambda invoke \
  --function-name MyFunction \
  --invocation-type Event \
  --payload '{"key": "value"}' \
  response.json
```

## CLI Reference

### Function Management

| Command | Description |
|---------|-------------|
| `aws lambda create-function` | Create new function |
| `aws lambda update-function-code` | Update function code |
| `aws lambda update-function-configuration` | Update settings |
| `aws lambda delete-function` | Delete function |
| `aws lambda list-functions` | List all functions |
| `aws lambda get-function` | Get function details |

### Invocation

| Command | Description |
|---------|-------------|
| `aws lambda invoke` | Invoke function |
| `aws lambda invoke-async` | Async invoke (deprecated) |

### Event Sources

| Command | Description |
|---------|-------------|
| `aws lambda create-event-source-mapping` | Add event source |
| `aws lambda list-event-source-mappings` | List mappings |
| `aws lambda update-event-source-mapping` | Update mapping |
| `aws lambda delete-event-source-mapping` | Remove mapping |

### Permissions

| Command | Description |
|---------|-------------|
| `aws lambda add-permission` | Add resource-based policy |
| `aws lambda remove-permission` | Remove permission |
| `aws lambda get-policy` | View resource policy |

## Best Practices

### Performance

- **Right-size memory**: More memory = more CPU = faster execution
- **Minimize cold starts**: Keep functions warm, use Provisioned Concurrency
- **Optimize package size**: Smaller packages deploy faster
- **Use layers** for shared dependencies
- **Initialize outside handler**: Reuse connections across invocations

```python
# GOOD: Initialize outside handler
import boto3
dynamodb = boto3.resource('dynamodb')
table = dynamodb.Table('MyTable')

def handler(event, context):
    # Reuses existing connection
    return table.get_item(Key={'id': event['id']})
```

### Security

- **Least privilege IAM roles** — only grant needed permissions
- **Use Secrets Manager** for sensitive data
- **Enable VPC** only if needed (adds latency)
- **Encrypt environment variables** with KMS

### Cost Optimization

- **Set appropriate timeout** — don't use max 15 minutes unnecessarily
- **Use ARM architecture** (Graviton2) for 34% better price/performance
- **Batch process** where possible
- **Use Reserved Concurrency** to limit costs

### Reliability

- **Configure DLQ** for async invocations
- **Handle retries** — async events retry twice
- **Make handlers idempotent**
- **Use structured logging**

## Troubleshooting

### Timeout Errors

**Symptom:** `Task timed out after X seconds`

**Causes:**
- Function takes longer than timeout
- Network call to unreachable resource
- VPC configuration issues

**Debug:**

```bash
# Check function configuration
aws lambda get-function-configuration \
  --function-name MyFunction \
  --query "Timeout"

# Increase timeout
aws lambda update-function-configuration \
  --function-name MyFunction \
  --timeout 60
```

### Out of Memory

**Symptom:** Function crashes with memory error

**Fix:**

```bash
aws lambda update-function-configuration \
  --function-name MyFunction \
  --memory-size 512
```

### Cold Start Latency

**Causes:**
- Large deployment package
- VPC configuration
- Many dependencies to load

**Solutions:**
- Use Provisioned Concurrency
- Reduce package size
- Use layers for dependencies
- Consider Graviton2 (ARM)

```bash
# Enable Provisioned Concurrency
aws lambda put-provisioned-concurrency-config \
  --function-name MyFunction \
  --qualifier LIVE \
  --provisioned-concurrent-executions 5
```

### Permission Denied

**Symptom:** `AccessDeniedException`

**Debug:**

```bash
# Check execution role
aws lambda get-function-configuration \
  --function-name MyFunction \
  --query "Role"

# Check role policies
aws iam list-attached-role-policies \
  --role-name lambda-role
```

### VPC Connectivity Issues

**Symptom:** Cannot reach internet or AWS services

**Causes:**
- No NAT Gateway for internet access
- Missing VPC endpoint for AWS services
- Security group blocking outbound

**Solutions:**
- Add NAT Gateway for internet
- Add VPC endpoints for AWS services
- Check security group rules

## References

- [Lambda Developer Guide](https://docs.aws.amazon.com/lambda/latest/dg/)
- [Lambda API Reference](https://docs.aws.amazon.com/lambda/latest/api/)
- [Lambda CLI Reference](https://docs.aws.amazon.com/cli/latest/reference/lambda/)
- [boto3 Lambda](https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/lambda.html)

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Licencia: MIT
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Licencia: MIT

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Repositorio fuente: itsmostafa/aws-agent-skills
Licencia: MIT
Versión: 1.0.0
Último push de GitHub: 31 ago 2026
Registro actualizado: 2 sept 2026
Ruta de instrucciones: skills/lambda/SKILL.md @ 4ab904a69cda

Versión declarada en el registro; consulta las versiones de la fuente.

Calidad

74/100

Sólido

Confianza

67/100

Solo sandbox

Auditoría

79/100

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      "lastPushed": "1mo since push",
      "license": "MIT",
      "repository": "https://github.com/itsmostafa/aws-agent-skills/tree/main/skills/lambda",
      "install": "npx skills add itsmostafa/aws-agent-skills --skill lambda",
      "installSafety": "standard package or runtime install path",
      "permissionSurface": "secrets or environment access, shell or command execution",
      "documentation": "Usable metadata, review docs",
      "agentOutcomes": "No agent outcome data yet"
    },
    "outcome_evidence": {
      "total": 0,
      "successes": 0,
      "failures": 0,
      "not_relevant": 0,
      "success_rate": null,
      "recent_success_rate": null,
      "recent_failure_rate": null,
      "install_attempts": 0,
      "install_success_rate": null,
      "risk_blocked": 0,
      "setup_required": 0,
      "avg_output_quality": null,
      "production_outcomes": 0,
      "last_outcome_at": null,
      "label": "No agent outcome data yet"
    },
    "auto_install": {
      "allowed": false,
      "sandbox_required": true,
      "reason": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
    },
    "best_for": [
      "research",
      "agent-skill"
    ],
    "known_risks": [
      "Quality score needs review",
      "Permission surface needs review: secrets or environment access, shell or command execution",
      "Dependency/runtime risk: command execution surface, credential or environment access",
      "Permission surface: secrets or environment access, shell or command execution"
    ]
  },
  "agent_proven": {
    "version": "agent-proven-v1",
    "score": 0,
    "tier": "unproven",
    "label": "Needs first agent run",
    "summary": "No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.",
    "metrics": {
      "totalOutcomes": 0,
      "successfulOutcomes": 0,
      "failedOutcomes": 0,
      "installAttempts": 0,
      "installSuccessRate": null,
      "successRate": null,
      "recentSuccessRate": null,
      "recentFailureRate": null,
      "riskBlocked": 0,
      "setupRequired": 0,
      "notRelevant": 0,
      "avgOutputQuality": null,
      "avgTimeToUsefulMs": null,
      "productionOutcomes": 0,
      "humanReviewRequired": 0,
      "uniqueAgents": 0,
      "lastOutcomeAt": null
    },
    "signals": [],
    "penalties": [
      "No real agent outcome evidence yet"
    ]
  },
  "audit": {
    "score": 79,
    "risk_level": "needs_review",
    "risk_label": "Needs review",
    "warnings": [
      "Dependency or permission surface needs review",
      "Permission surface may require sandboxing",
      "Quality score needs review",
      "Permission surface needs review: secrets or environment access, shell or command execution",
      "Dependency/runtime risk: command execution surface, credential or environment access",
      "Permission surface: secrets or environment access, shell or command execution"
    ]
  },
  "safety_gate": {
    "tier": "blocked",
    "label": "Blocked for auto-install",
    "auto_install_policy": "block",
    "auto_install_allowed": false,
    "human_review_required": true,
    "blocked": true,
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
  },
  "quality": {
    "score": 74,
    "label": "Strong"
  },
  "supply": {
    "track": "Research and knowledge work",
    "scenario": "Research agents",
    "maintenance": "1mo since push",
    "risk": "Needs review"
  },
  "alternative_skills": [],
  "do_not_use_when": [
    "teams that need a vendor-supported SLA",
    "high-compliance environments without internal security review",
    "No major risk signals from current metadata",
    "High-risk permission hints: Shell or command execution, Secrets or environment access",
    "Dependency or permission surface needs review",
    "Permission surface may require sandboxing",
    "Quality score needs review",
    "Permission surface needs review: secrets or environment access, shell or command execution"
  ],
  "agent_contract": {
    "task_input": "Use lambda in an agent workflow",
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
    "install_policy": "block",
    "minimum_review_before_use": [
      "Trust: 75/100 Strong shortlist",
      "Audit: 79/100 Needs review",
      "Safety: 35/100 Avoid automatic install",
      "Review repository, license, install command, and permission surface before production use."
    ],
    "expected_agent_output": {
      "selected_skill": "itsmostafa-lambda (lambda)",
      "install_command": "npx skills add itsmostafa/aws-agent-skills --skill lambda",
      "risk_summary": "Needs review; Blocked for auto-install; Review before production",
      "verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
    }
  },
  "outcome_feedback": {
    "endpoint": "https://www.openagentskill.com/api/agent/outcome",
    "method": "POST",
    "requires_resolve_event_id": true,
    "event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
    "expected_outcomes": [
      "success",
      "failed",
      "not_relevant",
      "blocked_by_risk",
      "setup_required"
    ],
    "payload_template": {
      "event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
      "skill_slug": "itsmostafa-lambda",
      "task": "Use lambda in an agent workflow",
      "agent": "codex",
      "outcome": "success",
      "install_used": true,
      "risk_blocked": false,
      "setup_required": false,
      "task_success": true,
      "output_quality": 4,
      "error_type": null,
      "human_review_required": false,
      "workspace": "sandbox",
      "time_to_useful_ms": 120000,
      "notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
    }
  },
  "endpoints": {
    "web": "https://www.openagentskill.com/skills/itsmostafa-lambda",
    "api": "https://www.openagentskill.com/api/agent/skills/itsmostafa-lambda",
    "audit": "https://www.openagentskill.com/skills/itsmostafa-lambda/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=itsmostafa-lambda&task=Use%20lambda%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20lambda%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20lambda%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/itsmostafa-lambda/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/itsmostafa-lambda"
  }
}

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Creador: itsmostafa
Fuente: itsmostafa/aws-agent-skills
Indexado por: Índice comunitario de OpenAgentSkill

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Resumen

AWS Lambda

Table of Contents

Core Concepts

Function

Invocation Types

Execution Environment

Layers

Common Patterns

Create a Python Function

Add S3 Trigger

Add SQS Event Source

Environment Variables

Create and Attach Layer

Invoke Function

CLI Reference

Function Management

Invocation

Event Sources

Permissions

Best Practices

Performance

Security

Cost Optimization

Reliability

Troubleshooting

Timeout Errors

Out of Memory

Cold Start Latency

Permission Denied

VPC Connectivity Issues

References

Revisar el código fuente

Precio y costes de ejecución

Empieza con una tarea pequeña

Fuente y notas de uso

Acceso para agentes

Skills relacionados

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