Implement
dynamodb-toolbox/dynamodb-toolbox
Implement a planned DynamoDB-Toolbox feature end-to-end and open a pull request.
AWS DynamoDB NoSQL database for scalable data storage. An agent skill from itsmostafa/aws-agent-skills.
$ npx skills add itsmostafa/aws-agent-skills --skill dynamodb -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install itsmostafa/aws-agent-skills dynamodb --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/itsmostafa/aws-agent-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/dynamodb .claude/skills/dynamodb && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "dynamodb" agent skill from https://github.com/itsmostafa/aws-agent-skills/tree/main/skills/dynamodb into .claude/skills/dynamodb/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dynamodb", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/itsmostafa/aws-agent-skills/tree/main/skills/dynamodbType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add itsmostafa/aws-agent-skills --skill dynamodb -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install itsmostafa/aws-agent-skills dynamodb --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/itsmostafa/aws-agent-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/dynamodb .agents/skills/dynamodb && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "dynamodb" agent skill from https://github.com/itsmostafa/aws-agent-skills/tree/main/skills/dynamodb into .agents/skills/dynamodb/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dynamodb", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add itsmostafa/aws-agent-skills --skill dynamodb -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install itsmostafa/aws-agent-skills dynamodb --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/itsmostafa/aws-agent-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/dynamodb .cursor/skills/dynamodb && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "dynamodb" agent skill from https://github.com/itsmostafa/aws-agent-skills/tree/main/skills/dynamodb into .cursor/skills/dynamodb/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dynamodb", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/itsmostafa/aws-agent-skills.git --path skills/dynamodb--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add itsmostafa/aws-agent-skills --skill dynamodb -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install itsmostafa/aws-agent-skills dynamodb --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/itsmostafa/aws-agent-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/dynamodb .gemini/skills/dynamodb && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "dynamodb" agent skill from https://github.com/itsmostafa/aws-agent-skills/tree/main/skills/dynamodb into .gemini/skills/dynamodb/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dynamodb", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install itsmostafa/aws-agent-skills dynamodbInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add itsmostafa/aws-agent-skills --skill dynamodb -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/itsmostafa/aws-agent-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/dynamodb .github/skills/dynamodb && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "dynamodb" agent skill from https://github.com/itsmostafa/aws-agent-skills/tree/main/skills/dynamodb into .github/skills/dynamodb/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dynamodb", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add itsmostafa/aws-agent-skills --skill dynamodb -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install itsmostafa/aws-agent-skills dynamodb --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/itsmostafa/aws-agent-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/dynamodb .opencode/skills/dynamodb && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "dynamodb" agent skill from https://github.com/itsmostafa/aws-agent-skills/tree/main/skills/dynamodb into .opencode/skills/dynamodb/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dynamodb", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
dynamodbAWS DynamoDB NoSQL database for scalable data storage. An agent skill from itsmostafa/aws-agent-skills.
Dynamodb is an agent skill from itsmostafa/aws-agent-skills. AWS DynamoDB NoSQL database for scalable data storage. Use when designing table schemas, writing queries, configuring indexes, managing capacity, implementing single-table design, or troubleshooting performance issues.
Its SKILL.md is about 2.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `query-patterns.md`).
It sits in Databases, covering NoSQL databases. It works with Amazon DynamoDB and Amazon Web Services. The repository describes itself as: AWS Skills for Agents. The licence is MIT.
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit e786d25. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
awsFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
docs.aws.amazon.comboto3.amazonaws.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Dynamodb loads about 2.5k tokens when it runs. Until then it costs about 57 tokens; SKILL.md has 435 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from itsmostafa/aws-agent-skills at commit e786d25, republished under its MIT licence (© itsmostafa). 435 words, ~2,470 tokens.
.claude/skills/dynamodb/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Amazon DynamoDB is a fully managed NoSQL database service providing fast, predictable performance at any scale. It supports key-value and document data structures.
| Key Type | Description |
|---|---|
| Partition Key (PK) | Required. Determines data distribution |
| Sort Key (SK) | Optional. Enables range queries within partition |
| Composite Key | PK + SK combination |
| Index Type | Description |
|---|---|
| GSI (Global Secondary Index) | Different PK/SK, separate throughput, eventually consistent |
| LSI (Local Secondary Index) | Same PK, different SK, shares table throughput, strongly consistent option |
| Mode | Use Case |
|---|---|
| On-Demand | Unpredictable traffic, pay-per-request |
| Provisioned | Predictable traffic, lower cost, can use auto-scaling |
AWS CLI:
aws dynamodb create-table \
--table-name Users \
--attribute-definitions \
AttributeName=PK,AttributeType=S \
AttributeName=SK,AttributeType=S \
--key-schema \
AttributeName=PK,KeyType=HASH \
AttributeName=SK,KeyType=RANGE \
--billing-mode PAY_PER_REQUESTboto3:
import boto3
dynamodb = boto3.resource('dynamodb')
table = dynamodb.create_table(
TableName='Users',
KeySchema=[
{'AttributeName': 'PK', 'KeyType': 'HASH'},
{'AttributeName': 'SK', 'KeyType': 'RANGE'}
],
AttributeDefinitions=[
{'AttributeName': 'PK', 'AttributeType': 'S'},
{'AttributeName': 'SK', 'AttributeType': 'S'}
],
BillingMode='PAY_PER_REQUEST'
)
table.wait_until_exists()import boto3
from boto3.dynamodb.conditions import Key, Attr
dynamodb = boto3.resource('dynamodb')
table = dynamodb.Table('Users')
# Put item
table.put_item(
Item={
'PK': 'USER#123',
'SK': 'PROFILE',
'name': 'John Doe',
'email': 'john@example.com',
'created_at': '2024-01-15T10:30:00Z'
}
)
# Get item
response = table.get_item(
Key={'PK': 'USER#123', 'SK': 'PROFILE'}
)
item = response.get('Item')
# Update item
table.update_item(
Key={'PK': 'USER#123', 'SK': 'PROFILE'},
UpdateExpression='SET #name = :name, updated_at = :updated',
ExpressionAttributeNames={'#name': 'name'},
ExpressionAttributeValues={
':name': 'John Smith',
':updated': '2024-01-16T10:30:00Z'
}
)
# Delete item
table.delete_item(
Key={'PK': 'USER#123', 'SK': 'PROFILE'}
)# Query by partition key
response = table.query(
KeyConditionExpression=Key('PK').eq('USER#123')
)
# Query with sort key condition
response = table.query(
KeyConditionExpression=Key('PK').eq('USER#123') & Key('SK').begins_with('ORDER#')
)
# Query with filter
response = table.query(
KeyConditionExpression=Key('PK').eq('USER#123'),
FilterExpression=Attr('status').eq('active')
)
# Query with projection
response = table.query(
KeyConditionExpression=Key('PK').eq('USER#123'),
ProjectionExpression='PK, SK, #name, email',
ExpressionAttributeNames={'#name': 'name'}
)
# Paginated query
paginator = dynamodb.meta.client.get_paginator('query')
for page in paginator.paginate(
TableName='Users',
KeyConditionExpression='PK = :pk',
ExpressionAttributeValues={':pk': {'S': 'USER#123'}}
):
for item in page['Items']:
print(item)# Batch write (up to 25 items)
with table.batch_writer() as batch:
for i in range(100):
batch.put_item(Item={
'PK': f'USER#{i}',
'SK': 'PROFILE',
'name': f'User {i}'
})
# Batch get (up to 100 items)
dynamodb = boto3.resource('dynamodb')
response = dynamodb.batch_get_item(
RequestItems={
'Users': {
'Keys': [
{'PK': 'USER#1', 'SK': 'PROFILE'},
{'PK': 'USER#2', 'SK': 'PROFILE'}
]
}
}
)aws dynamodb update-table \
--table-name Users \
--attribute-definitions AttributeName=email,AttributeType=S \
--global-secondary-index-updates '[
{
"Create": {
"IndexName": "email-index",
"KeySchema": [{"AttributeName": "email", "KeyType": "HASH"}],
"Projection": {"ProjectionType": "ALL"}
}
}
]'from botocore.exceptions import ClientError
# Only put if item doesn't exist
try:
table.put_item(
Item={'PK': 'USER#123', 'SK': 'PROFILE', 'name': 'John'},
ConditionExpression='attribute_not_exists(PK)'
)
except ClientError as e:
if e.response['Error']['Code'] == 'ConditionalCheckFailedException':
print("Item already exists")
# Optimistic locking with version
table.update_item(
Key={'PK': 'USER#123', 'SK': 'PROFILE'},
UpdateExpression='SET #name = :name, version = version + :inc',
ConditionExpression='version = :current_version',
ExpressionAttributeNames={'#name': 'name'},
ExpressionAttributeValues={
':name': 'New Name',
':inc': 1,
':current_version': 5
}
)| Command | Description |
|---|---|
aws dynamodb create-table | Create table |
aws dynamodb describe-table | Get table info |
aws dynamodb update-table | Modify table/indexes |
aws dynamodb delete-table | Delete table |
aws dynamodb list-tables | List all tables |
| Command | Description |
|---|---|
aws dynamodb put-item | Create/replace item |
aws dynamodb get-item | Read single item |
aws dynamodb update-item | Update item attributes |
aws dynamodb delete-item | Delete item |
aws dynamodb query | Query by key |
aws dynamodb scan | Full table scan |
| Command | Description |
|---|---|
aws dynamodb batch-write-item | Batch write (25 max) |
aws dynamodb batch-get-item | Batch read (100 max) |
aws dynamodb transact-write-items | Transaction write |
aws dynamodb transact-get-items | Transaction read |
Symptom: ProvisionedThroughputExceededException
Causes:
Solutions:
# Use exponential backoff
import time
from botocore.config import Config
config = Config(
retries={
'max_attempts': 10,
'mode': 'adaptive'
}
)
dynamodb = boto3.resource('dynamodb', config=config)Debug:
# Check consumed capacity by partition
aws cloudwatch get-metric-statistics \
--namespace AWS/DynamoDB \
--metric-name ConsumedReadCapacityUnits \
--dimensions Name=TableName,Value=Users \
--start-time $(date -d '1 hour ago' -u +%Y-%m-%dT%H:%M:%SZ) \
--end-time $(date -u +%Y-%m-%dT%H:%M:%SZ) \
--period 60 \
--statistics SumSolutions:
Debug checklist:
Issue: Scans are slow and expensive
Solutions:
# Parallel scan
import concurrent.futures
def scan_segment(segment, total_segments):
return table.scan(
Segment=segment,
TotalSegments=total_segments
)
with concurrent.futures.ThreadPoolExecutor() as executor:
results = list(executor.map(
lambda s: scan_segment(s, 4),
range(4)
))© itsmostafa, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file in skills/dynamodb of itsmostafa/aws-agent-skills.
Open the folder on GitHubat commit e786d25
Dynamodb next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Dynamodb this skillitsmostafa/aws-agent-skills | 1.2k | — | ~2.5k | Automated safety check: Pass | MIT | |
| Implementdynamodb-toolbox/dynamodb-toolbox | 2k | — | ~1.8k | Automated safety check: Pass | MIT | |
| Plandynamodb-toolbox/dynamodb-toolbox | 2k | — | ~1.5k | Automated safety check: Pass | MIT | |
| Specdynamodb-toolbox/dynamodb-toolbox | 2k | — | ~1.2k | Automated safety check: Pass | MIT | |
| AWS CLI Beastgiuseppe-trisciuoglio/developer-kit | 355 | — | ~1.7k | Automated safety check: Notes | MIT | |
| Ak Dev New Multimodal Storageyaalalabs/agent-kernel | 191 | — | ~4.3k | Automated safety check: Pass | Apache-2.0 |
dynamodb-toolbox/dynamodb-toolbox
Implement a planned DynamoDB-Toolbox feature end-to-end and open a pull request.
dynamodb-toolbox/dynamodb-toolbox
Write the technical implementation strategy for a spec'd DynamoDB-Toolbox task.
dynamodb-toolbox/dynamodb-toolbox
Formalise a product spec for a DynamoDB-Toolbox task — interview, codebase analysis, and Notion write-back.
giuseppe-trisciuoglio/developer-kit
Provides advanced AWS CLI patterns for managing EC2, Lambda, S3, DynamoDB, RDS, VPC, IAM, and CloudWatch.
yaalalabs/agent-kernel
Step-by-step guide for adding a new multimodal attachment storage backend to Agent Kernel.
alinaqi/maggy
AWS DynamoDB single-table design, GSI patterns, SDK v3 TypeScript/Python
itsmostafa/aws-agent-skills
AWS API Gateway for REST and HTTP API management. An agent skill from itsmostafa/aws-agent-skills.
itsmostafa/aws-agent-skills
AWS Bedrock foundation models for generative AI. An agent skill from itsmostafa/aws-agent-skills.
itsmostafa/aws-agent-skills
AWS Cognito user authentication and authorization service. An agent skill from itsmostafa/aws-agent-skills.
itsmostafa/aws-agent-skills
AWS CloudFormation infrastructure as code for stack management.
itsmostafa/aws-agent-skills
AWS CloudWatch monitoring for logs, metrics, alarms, and dashboards.
itsmostafa/aws-agent-skills
AWS ECS container orchestration for running Docker containers.
Works with
Categories
AWS DynamoDB NoSQL database for scalable data storage. An agent skill from itsmostafa/aws-agent-skills. Dynamodb is an agent skill from itsmostafa/aws-agent-skills. AWS DynamoDB NoSQL database for scalable data storage.
Dynamodb fits situations like: designing table schemas; writing queries; configuring indexes; managing capacity.
Run `npx skills add itsmostafa/aws-agent-skills --skill dynamodb -a claude-code`. Or copy the skill folder (skills/dynamodb in itsmostafa/aws-agent-skills) into .claude/skills/dynamodb in your project. Claude Code loads it when a task matches its description.
Run `npx skills add itsmostafa/aws-agent-skills --skill dynamodb -a codex`. Or copy the skill folder (skills/dynamodb in itsmostafa/aws-agent-skills) into .agents/skills/dynamodb in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add itsmostafa/aws-agent-skills --skill dynamodb -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/dynamodb, .gemini/skills/dynamodb, .github/skills/dynamodb and .opencode/skills/dynamodb in your project.
Going by SKILL.md and its folder, Dynamodb needs the command-line tools its instructions call (aws). Our summary lists: Python 3.
SKILL.md names 2 domains. As links in the text: docs.aws.amazon.com and boto3.amazonaws.com. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Dynamodb is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.5k tokens (SKILL.md is roughly 9.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Dynamodb: Implement (dynamodb-toolbox/dynamodb-toolbox, 2k stars), Plan (dynamodb-toolbox/dynamodb-toolbox, 2k stars), Spec (dynamodb-toolbox/dynamodb-toolbox, 2k stars) and AWS CLI Beast (giuseppe-trisciuoglio/developer-kit, 355 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
itsmostafa (a GitHub user) maintains it in itsmostafa/aws-agent-skills, which has 1,160 GitHub stars. The repository holds 17 skills in this directory. The repository was last updated on October 5, 2026.
Source: itsmostafa/aws-agent-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.