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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.
Ringkasan
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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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
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
Metadata berkas
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/
Lihat teks asli
---
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)
Tinjau sumber
Harga dan biaya penggunaan
- Dapatkan skill
- Harga belum dikonfirmasi
- Jalankan
- Persyaratan belum dikonfirmasi. Periksa biaya agen, API, dan layanan di sumbernya.
- Lisensi
- MIT
- Harga belum dikonfirmasi
- Harga belum dikonfirmasi. Tautan sumber dan instalasi yang ada tetap tersedia.
Gratis diperoleh bukan berarti gratis dijalankan. Harga bukan penilaian keamanan. Kirim informasi harga →
Sumber skill tercatat
Jalur instruksi telah dicatat. Ini bukan uji eksekusi, jaminan keamanan, atau sertifikasi kompatibilitas.
Tinjau sebelum memasang: Hindari pemasangan otomatis
Lisensi: MIT
- 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
Daftar alat adalah petunjuk metadata, bukan kompatibilitas teruji. Prompt adalah saran.
Mulai dengan tugas kecil
- 1Baca sumber dan pastikan masukan, keluaran, dependensi, serta izin.
- 2Minta rencana dari agent. Setujui pengaturan dan biaya sebelum uji terisolasi.
- 3Periksa hasil dan berkas yang berubah. Laporkan hanya yang dijalankan dan simpan revisi sumber.
Periksa dependensi, kunci API, dan biaya layanan pihak ketiga pada sumber. Repositori publik tidak berarti semua layanan gratis.
Sumber dan catatan penggunaan
Metadata dan tinjauan bersifat saran. Popularitas, penemuan sumber, dan keberhasilan eksekusi adalah fakta berbeda.
- Repositori sumber
- itsmostafa/aws-agent-skills
- Lisensi
- MIT
- Versi
- 1.0.0
- Push GitHub terakhir
- 31 Agu 2026
- Direktori diperbarui
- 2 Sep 2026
- Jalur instruksi
- skills/lambda/SKILL.md @ 4ab904a69cda
Versi dilaporkan dalam metadata direktori; periksa rilis sumber.
Kualitas
74/100
Kuat
Kepercayaan
67/100
Hanya sandbox
Audit
79/100
Perlu ditinjau
- 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
- Verified installs
- —
- Hasil
- —
Menyalin bukan memasang. Jumlah instalasi memerlukan laporan berhasil dan bukan jaminan kualitas menyeluruh.
Akses agent
API Registry menyediakan sinyal keputusan, kepercayaan, audit, use case, dan pemasangan tanpa mengikis UI.
Detail lainnya
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},
"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"
}
}Untuk kreator
Sumber listing
Diindeks Registry
Listing ini diindeks dari sumber publik dan belum ditandai resmi hingga klaim pemelihara disetujui.
- Kreator
- itsmostafa
- Diindeks oleh
- Indeks komunitas OpenAgentSkill
Atribusi menautkan ke repositori publik atau profil kreator. Kreator dapat mengklaim listing untuk memperbarui sinyal kepemilikan.
Klaim skill iniKlaim pemilik
Klaim listing skill ini
Listing Diindeks Registry ini dikaitkan dengan itsmostafa, tetapi belum ditandai resmi. Klaim untuk menambahkan sinyal pemilik terverifikasi dan membuat pembaruan peluncuran, pemasangan, serta audit berikutnya lebih tepercaya.
Kit berbagi
Kit backlink kreator
Tambahkan badge bukti ke README Anda
Tampilkan listing kanonis, sinyal kepercayaan dan audit saat ini, serta bukti Agent-Proven nyata di tempat pengembang mengevaluasi repositori.
[](https://www.openagentskill.com/skills/itsmostafa-lambda?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/itsmostafa-lambda?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/itsmostafa-lambda/audit)
[](https://www.openagentskill.com/skills/itsmostafa-lambda?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)Sinyal komunitas
Bagikan apakah skill ini bermanfaat untuk alur kerja Agent Anda. Masukan gabungan meningkatkan peringkat dari waktu ke waktu.
