Memorains DB Backup
redTreeOnWall/memorains
Back up the memorains production database and download the dump to the local backups/ directory.
Provision and manage RDS databases. An agent skill from sickn33/agentic-awesome-skills.
$ npx skills add sickn33/agentic-awesome-skills --skill aws-rds -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sickn33/agentic-awesome-skills aws-rds --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/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/aws-rds .claude/skills/aws-rds && 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 "aws-rds" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/aws-rds into .claude/skills/aws-rds/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aws-rds", 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/sickn33/agentic-awesome-skills/tree/main/skills/aws-rdsType 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 sickn33/agentic-awesome-skills --skill aws-rds -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sickn33/agentic-awesome-skills aws-rds --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/aws-rds .agents/skills/aws-rds && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "aws-rds" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/aws-rds into .agents/skills/aws-rds/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aws-rds", 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 sickn33/agentic-awesome-skills --skill aws-rds -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sickn33/agentic-awesome-skills aws-rds --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/aws-rds .cursor/skills/aws-rds && 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 "aws-rds" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/aws-rds into .cursor/skills/aws-rds/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aws-rds", 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/sickn33/agentic-awesome-skills.git --path skills/aws-rds--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 sickn33/agentic-awesome-skills --skill aws-rds -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sickn33/agentic-awesome-skills aws-rds --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/aws-rds .gemini/skills/aws-rds && 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 "aws-rds" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/aws-rds into .gemini/skills/aws-rds/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aws-rds", 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 sickn33/agentic-awesome-skills aws-rdsInstalls 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 sickn33/agentic-awesome-skills --skill aws-rds -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/aws-rds .github/skills/aws-rds && 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 "aws-rds" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/aws-rds into .github/skills/aws-rds/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aws-rds", 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 sickn33/agentic-awesome-skills --skill aws-rds -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install sickn33/agentic-awesome-skills aws-rds --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/aws-rds .opencode/skills/aws-rds && 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 "aws-rds" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/aws-rds into .opencode/skills/aws-rds/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aws-rds", 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.
aws-rdsProvision and manage RDS databases. An agent skill from sickn33/agentic-awesome-skills.
AWS Rds is an agent skill from sickn33/agentic-awesome-skills. Provision and manage RDS databases. Configure backups, replication, and security. Use when deploying managed relational databases on AWS.
Its SKILL.md is about 3.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Requires the relevant OS/platform tooling and privileged access where noted. Docs-only; helper scripts and templates not bundled.
It sits in DevOps & Cloud, covering Backup and disaster recovery and Database administration. It works with Amazon Web Services. The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.
Read from SKILL.md and the folder at commit ec02547. 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.
No URLs in SKILL.md. Its commands use aws, which can reach the network depending on how they are called.
From 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.
Requires the relevant OS/platform tooling and privileged access where noted. Docs-only; helper scripts and templates not bundled.
From compatibility in the SKILL.md frontmatter.
AWS Rds loads about 3.3k tokens when it runs. Until then it costs about 36 tokens; SKILL.md has 324 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 sickn33/agentic-awesome-skills at commit ec02547, republished under its MIT licence (© sickn33). 324 words, ~3,328 tokens.
.claude/skills/aws-rds/SKILL.md (or your agent's skills folder).Deploy and manage Amazon RDS relational databases with production-grade backups, replication, monitoring, and security.
rds:*, ec2:DescribeSecurityGroups, ec2:DescribeSubnets, kms:*, cloudwatch:*# Create a subnet group spanning two AZs
aws rds create-db-subnet-group \
--db-subnet-group-name production-db-subnets \
--db-subnet-group-description "Production database subnets" \
--subnet-ids subnet-private-a subnet-private-b
# List subnet groups
aws rds describe-db-subnet-groups \
--query "DBSubnetGroups[].{Name:DBSubnetGroupName,VPC:VpcId,Status:SubnetGroupStatus}" \
--output table# Create a PostgreSQL 16 Multi-AZ instance
aws rds create-db-instance \
--db-instance-identifier production-api-db \
--db-instance-class db.r6g.large \
--engine postgres \
--engine-version 16.4 \
--master-username appadmin \
--manage-master-user-password \
--allocated-storage 100 \
--max-allocated-storage 500 \
--storage-type gp3 \
--storage-encrypted \
--kms-key-id alias/rds-key \
--vpc-security-group-ids sg-db-access \
--db-subnet-group-name production-db-subnets \
--db-name appdb \
--backup-retention-period 14 \
--preferred-backup-window "03:00-04:00" \
--preferred-maintenance-window "sun:05:00-sun:06:00" \
--multi-az \
--auto-minor-version-upgrade \
--deletion-protection \
--copy-tags-to-snapshot \
--monitoring-interval 60 \
--monitoring-role-arn arn:aws:iam::123456789012:role/rds-monitoring-role \
--enable-performance-insights \
--performance-insights-retention-period 7 \
--enable-cloudwatch-logs-exports '["postgresql","upgrade"]' \
--tags '[
{"Key":"Environment","Value":"production"},
{"Key":"Team","Value":"backend"},
{"Key":"Backup","Value":"daily"}
]'
# Wait for instance to become available
aws rds wait db-instance-available --db-instance-identifier production-api-db
# Get connection endpoint
aws rds describe-db-instances \
--db-instance-identifier production-api-db \
--query "DBInstances[0].Endpoint.{Address:Address,Port:Port}" \
--output table# When using --manage-master-user-password, RDS stores the password in Secrets Manager
aws rds describe-db-instances \
--db-instance-identifier production-api-db \
--query "DBInstances[0].MasterUserSecret.SecretArn" \
--output text
# Retrieve the secret value
aws secretsmanager get-secret-value \
--secret-id arn:aws:secretsmanager:us-east-1:123456789012:secret:rds-db-secret-abc123 \
--query SecretString --output text# Create a custom parameter group
aws rds create-db-parameter-group \
--db-parameter-group-name production-pg16 \
--db-parameter-group-family postgres16 \
--description "Production PostgreSQL 16 parameters"
# Set performance parameters
aws rds modify-db-parameter-group \
--db-parameter-group-name production-pg16 \
--parameters \
"ParameterName=max_connections,ParameterValue=200,ApplyMethod=pending-reboot" \
"ParameterName=shared_buffers,ParameterValue={DBInstanceClassMemory/4},ApplyMethod=pending-reboot" \
"ParameterName=effective_cache_size,ParameterValue={DBInstanceClassMemory*3/4},ApplyMethod=pending-reboot" \
"ParameterName=work_mem,ParameterValue=65536,ApplyMethod=immediate" \
"ParameterName=maintenance_work_mem,ParameterValue=524288,ApplyMethod=immediate" \
"ParameterName=random_page_cost,ParameterValue=1.1,ApplyMethod=immediate" \
"ParameterName=log_min_duration_statement,ParameterValue=1000,ApplyMethod=immediate" \
"ParameterName=log_statement,ParameterValue=ddl,ApplyMethod=immediate" \
"ParameterName=idle_in_transaction_session_timeout,ParameterValue=60000,ApplyMethod=immediate"
# Apply parameter group to the instance
aws rds modify-db-instance \
--db-instance-identifier production-api-db \
--db-parameter-group-name production-pg16 \
--apply-immediately# Create a read replica in the same region
aws rds create-db-instance-read-replica \
--db-instance-identifier production-api-db-read1 \
--source-db-instance-identifier production-api-db \
--db-instance-class db.r6g.large \
--availability-zone us-east-1b \
--enable-performance-insights \
--monitoring-interval 60 \
--monitoring-role-arn arn:aws:iam::123456789012:role/rds-monitoring-role
# Create a cross-region read replica for DR
aws rds create-db-instance-read-replica \
--db-instance-identifier dr-api-db-read \
--source-db-instance-identifier arn:aws:rds:us-east-1:123456789012:db:production-api-db \
--db-instance-class db.r6g.large \
--region us-west-2 \
--storage-encrypted \
--kms-key-id alias/rds-dr-key
# Promote a read replica to standalone (for DR failover)
aws rds promote-read-replica \
--db-instance-identifier dr-api-db-read
# Check replication lag
aws cloudwatch get-metric-statistics \
--namespace AWS/RDS \
--metric-name ReplicaLag \
--dimensions Name=DBInstanceIdentifier,Value=production-api-db-read1 \
--start-time "$(date -u -d '1 hour ago' +%Y-%m-%dT%H:%M:%SZ)" \
--end-time "$(date -u +%Y-%m-%dT%H:%M:%SZ)" \
--period 300 \
--statistics Average \
--output table# Create a manual snapshot
aws rds create-db-snapshot \
--db-instance-identifier production-api-db \
--db-snapshot-identifier production-api-db-pre-migration-$(date +%Y%m%d)
# Wait for snapshot to complete
aws rds wait db-snapshot-available \
--db-snapshot-identifier production-api-db-pre-migration-20260324
# Restore from snapshot (creates a new instance)
aws rds restore-db-instance-from-db-snapshot \
--db-instance-identifier production-api-db-restored \
--db-snapshot-identifier production-api-db-pre-migration-20260324 \
--db-instance-class db.r6g.large \
--db-subnet-group-name production-db-subnets \
--vpc-security-group-ids sg-db-access
# Point-in-time recovery (restore to a specific second)
aws rds restore-db-instance-to-point-in-time \
--source-db-instance-identifier production-api-db \
--target-db-instance-identifier production-api-db-pitr \
--restore-time "2026-03-24T10:30:00Z" \
--db-instance-class db.r6g.large \
--db-subnet-group-name production-db-subnets
# Copy snapshot to another region
aws rds copy-db-snapshot \
--source-db-snapshot-identifier arn:aws:rds:us-east-1:123456789012:snapshot:production-api-db-pre-migration-20260324 \
--target-db-snapshot-identifier production-api-db-dr-copy \
--region us-west-2 \
--kms-key-id alias/rds-dr-key
# Delete old snapshots
aws rds delete-db-snapshot --db-snapshot-identifier old-snapshot-name# Set CPU utilization alarm
aws cloudwatch put-metric-alarm \
--alarm-name rds-production-cpu-high \
--alarm-description "RDS CPU > 80% for 5 minutes" \
--metric-name CPUUtilization \
--namespace AWS/RDS \
--dimensions Name=DBInstanceIdentifier,Value=production-api-db \
--statistic Average \
--period 300 \
--threshold 80 \
--comparison-operator GreaterThanThreshold \
--evaluation-periods 1 \
--alarm-actions arn:aws:sns:us-east-1:123456789012:db-alerts
# Set free storage space alarm (alert below 10 GB)
aws cloudwatch put-metric-alarm \
--alarm-name rds-production-storage-low \
--alarm-description "RDS free storage < 10GB" \
--metric-name FreeStorageSpace \
--namespace AWS/RDS \
--dimensions Name=DBInstanceIdentifier,Value=production-api-db \
--statistic Average \
--period 300 \
--threshold 10737418240 \
--comparison-operator LessThanThreshold \
--evaluation-periods 1 \
--alarm-actions arn:aws:sns:us-east-1:123456789012:db-alerts
# Check current database connections
aws cloudwatch get-metric-statistics \
--namespace AWS/RDS \
--metric-name DatabaseConnections \
--dimensions Name=DBInstanceIdentifier,Value=production-api-db \
--start-time "$(date -u -d '1 hour ago' +%Y-%m-%dT%H:%M:%SZ)" \
--end-time "$(date -u +%Y-%m-%dT%H:%M:%SZ)" \
--period 300 \
--statistics Average Maximum \
--output tableresource "aws_db_subnet_group" "main" {
name = "production-db-subnets"
subnet_ids = [aws_subnet.private_a.id, aws_subnet.private_b.id]
tags = {
Environment = "production"
}
}
resource "aws_db_parameter_group" "postgres16" {
name = "production-pg16"
family = "postgres16"
parameter {
name = "max_connections"
value = "200"
}
parameter {
name = "shared_buffers"
value = "{DBInstanceClassMemory/4}"
apply_method = "pending-reboot"
}
parameter {
name = "log_min_duration_statement"
value = "1000"
}
}
resource "aws_db_instance" "main" {
identifier = "production-api-db"
engine = "postgres"
engine_version = "16.4"
instance_class = "db.r6g.large"
allocated_storage = 100
max_allocated_storage = 500
storage_type = "gp3"
storage_encrypted = true
kms_key_id = aws_kms_key.rds.arn
db_name = "appdb"
username = "appadmin"
manage_master_user_password = true
multi_az = true
db_subnet_group_name = aws_db_subnet_group.main.name
vpc_security_group_ids = [aws_security_group.db.id]
parameter_group_name = aws_db_parameter_group.postgres16.name
backup_retention_period = 14
backup_window = "03:00-04:00"
maintenance_window = "sun:05:00-sun:06:00"
copy_tags_to_snapshot = true
deletion_protection = true
skip_final_snapshot = false
final_snapshot_identifier = "production-api-db-final"
performance_insights_enabled = true
performance_insights_retention_period = 7
monitoring_interval = 60
monitoring_role_arn = aws_iam_role.rds_monitoring.arn
enabled_cloudwatch_logs_exports = ["postgresql", "upgrade"]
tags = {
Environment = "production"
Team = "backend"
}
}
resource "aws_db_instance" "read_replica" {
identifier = "production-api-db-read1"
replicate_source_db = aws_db_instance.main.identifier
instance_class = "db.r6g.large"
performance_insights_enabled = true
monitoring_interval = 60
monitoring_role_arn = aws_iam_role.rds_monitoring.arn
}| Problem | Cause | Fix |
|---|---|---|
| Cannot connect to RDS | Security group blocks traffic | Verify SG allows app subnet CIDR on DB port |
| Storage full | Auto-scaling not enabled or limit reached | Set --max-allocated-storage; increase manually |
| High replication lag | Write-heavy workload or replica undersized | Upgrade replica instance class; reduce write volume |
| Parameter change not applied | Requires reboot for static params | Reboot with --force-failover during maintenance window |
| Snapshot restore slow | Large database size | Use larger instance class for restore; consider PITR |
| Performance Insights empty | Not enabled or instance type unsupported | Enable PI; check instance class supports it |
| Multi-AZ failover happened | Hardware or AZ failure | Check RDS events; review failover logs |
| Connection count maxed out | Application connection leak | Implement connection pooling (PgBouncer/RDS Proxy) |
| Master password unknown | Using managed secret | Retrieve from Secrets Manager ARN in instance details |
terraform-aws) - IaC deployment for RDSaws-vpc) - Subnet groups and security groupsaws-iam) - RDS IAM authenticationaws-cost-optimization) - Reserved instances for RDSaws-s3) - Export snapshots to S3© sickn33, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/aws-rds of sickn33/agentic-awesome-skills.
Open the folder on GitHubat commit ec02547
We found 6 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.
AWS Rds 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 |
|---|---|---|---|---|---|---|
| AWS Rds this skillsickn33/agentic-awesome-skills | 47k | 2 repos | ~3.3k | Automated safety check: Pass | MIT | |
| Memorains DB BackupredTreeOnWall/memorains | 124 | — | ~565 | Automated safety check: Pass | MIT | |
| Cloud ArchitectJeffallan/claude-skills | 12k | — | ~1.9k | Automated safety check: Pass | MIT | |
| Rds Operation Reviewaws/tools-for-devops-agent | 100 | — | ~4.8k | Automated safety check: Pass | Apache-2.0 | |
| Storage S3 Resiliency Expertiseaws/tools-for-devops-agent | 100 | — | ~2.8k | Automated safety check: Pass | Apache-2.0 | |
| Rdsitsmostafa/aws-agent-skills | 1.2k | — | ~2.4k | Automated safety check: Pass | MIT |
redTreeOnWall/memorains
Back up the memorains production database and download the dump to the local backups/ directory.
Jeffallan/claude-skills
Designs cloud architectures, migration plans, cost optimization recommendations and disaster recovery strategies across AWS, Azure and GCP.
aws/tools-for-devops-agent
Comprehensive Amazon RDS and Aurora operational review aligned with the AWS Well-Architected Framework and RDS/Aurora best practices.
aws/tools-for-devops-agent
S3 resiliency, security, and data protection review. An agent skill from aws/tools-for-devops-agent.
itsmostafa/aws-agent-skills
AWS RDS relational database service for managed databases. An agent skill from itsmostafa/aws-agent-skills.
ancoleman/ai-design-components
Design and implement disaster recovery strategies with RTO/RPO planning, database backups, Kubernetes DR, cross-region replication, and chaos engineering testing.
sickn33/agentic-awesome-skills
Implements an interface in one of two named color modes, iridescent white or colorful black, from a parameterized starter that reports measured color intensity.
sickn33/agentic-awesome-skills
Saves a user's project decisions, rules and preferences into a project-local mdbase so later sessions and other agents can recover the intent.
sickn33/agentic-awesome-skills
Keeps project decisions, research and verified results available across coding-agent sessions through LWC memory, a document Wiki graph and a CodeGraph code index.
sickn33/agentic-awesome-skills
Guides an agent through assessing its own owner for cofounder fit, publishing an approved profile, and ranking complementary profiles other agents published for their owners.
sickn33/agentic-awesome-skills
Acts as a proxy for the Cline CLI, dispatching coding tasks one at a time, monitoring runs by hard evidence, relaying decisions to you and learning per-project preferences.
sickn33/agentic-awesome-skills
Drafts and reviews audience-specific content from supplied brand examples, with local scripts for brand voice and SEO diagnostics, channel templates and a content calendar.
Works with
Categories
Provision and manage RDS databases. An agent skill from sickn33/agentic-awesome-skills. AWS Rds is an agent skill from sickn33/agentic-awesome-skills. Provision and manage RDS databases.
AWS Rds fits situations like: deploying managed relational databases on AWS; tasks that involve Backup and disaster recovery; tasks that involve Database administration.
Run `npx skills add sickn33/agentic-awesome-skills --skill aws-rds -a claude-code`. Or copy the skill folder (skills/aws-rds in sickn33/agentic-awesome-skills) into .claude/skills/aws-rds in your project. Claude Code loads it when a task matches its description.
Run `npx skills add sickn33/agentic-awesome-skills --skill aws-rds -a codex`. Or copy the skill folder (skills/aws-rds in sickn33/agentic-awesome-skills) into .agents/skills/aws-rds 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 sickn33/agentic-awesome-skills --skill aws-rds -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/aws-rds, .gemini/skills/aws-rds, .github/skills/aws-rds and .opencode/skills/aws-rds in your project.
Going by SKILL.md and its folder, AWS Rds needs the command-line tools its instructions call (aws). Compatibility (from SKILL.md): Requires the relevant OS/platform tooling and privileged access where noted. Docs-only; helper scripts and templates not bundled..
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. 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.
AWS Rds is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.3k tokens (SKILL.md is roughly 13k 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 AWS Rds: Memorains DB Backup (redTreeOnWall/memorains, 124 stars), Cloud Architect (Jeffallan/claude-skills, 12k stars), Rds Operation Review (aws/tools-for-devops-agent, 100 stars) and Storage S3 Resiliency Expertise (aws/tools-for-devops-agent, 100 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,343 GitHub stars. The repository holds 1,354 skills in this directory. The repository was last updated on October 7, 2026.
Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.