AWS S3
sickn33/agentic-awesome-skills
Configure S3 buckets, policies, and lifecycle rules. An agent skill from sickn33/agentic-awesome-skills.
Exports Amazon RDS or Aurora database snapshots to Amazon S3 in Apache Parquet format for analytics, backup, or data migration.
Install Exporting Rds To S3
$ npx skills add aws/agent-toolkit-for-aws --skill exporting-rds-to-s3 -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aws/agent-toolkit-for-aws exporting-rds-to-s3 --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/aws/agent-toolkit-for-aws.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/specialized-skills/database-skills/exporting-rds-to-s3 .claude/skills/exporting-rds-to-s3 && 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 "exporting-rds-to-s3" agent skill from https://github.com/aws/agent-toolkit-for-aws/tree/main/skills/specialized-skills/database-skills/exporting-rds-to-s3 into .claude/skills/exporting-rds-to-s3/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "exporting-rds-to-s3", 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/aws/agent-toolkit-for-aws/tree/main/skills/specialized-skills/database-skills/exporting-rds-to-s3Type 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 aws/agent-toolkit-for-aws --skill exporting-rds-to-s3 -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aws/agent-toolkit-for-aws exporting-rds-to-s3 --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aws/agent-toolkit-for-aws.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/specialized-skills/database-skills/exporting-rds-to-s3 .agents/skills/exporting-rds-to-s3 && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "exporting-rds-to-s3" agent skill from https://github.com/aws/agent-toolkit-for-aws/tree/main/skills/specialized-skills/database-skills/exporting-rds-to-s3 into .agents/skills/exporting-rds-to-s3/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "exporting-rds-to-s3", 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 aws/agent-toolkit-for-aws --skill exporting-rds-to-s3 -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aws/agent-toolkit-for-aws exporting-rds-to-s3 --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aws/agent-toolkit-for-aws.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/specialized-skills/database-skills/exporting-rds-to-s3 .cursor/skills/exporting-rds-to-s3 && 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 "exporting-rds-to-s3" agent skill from https://github.com/aws/agent-toolkit-for-aws/tree/main/skills/specialized-skills/database-skills/exporting-rds-to-s3 into .cursor/skills/exporting-rds-to-s3/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "exporting-rds-to-s3", 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/aws/agent-toolkit-for-aws.git --path skills/specialized-skills/database-skills/exporting-rds-to-s3--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 aws/agent-toolkit-for-aws --skill exporting-rds-to-s3 -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aws/agent-toolkit-for-aws exporting-rds-to-s3 --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aws/agent-toolkit-for-aws.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/specialized-skills/database-skills/exporting-rds-to-s3 .gemini/skills/exporting-rds-to-s3 && 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 "exporting-rds-to-s3" agent skill from https://github.com/aws/agent-toolkit-for-aws/tree/main/skills/specialized-skills/database-skills/exporting-rds-to-s3 into .gemini/skills/exporting-rds-to-s3/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "exporting-rds-to-s3", 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 aws/agent-toolkit-for-aws exporting-rds-to-s3Installs 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 aws/agent-toolkit-for-aws --skill exporting-rds-to-s3 -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/aws/agent-toolkit-for-aws.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/specialized-skills/database-skills/exporting-rds-to-s3 .github/skills/exporting-rds-to-s3 && 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 "exporting-rds-to-s3" agent skill from https://github.com/aws/agent-toolkit-for-aws/tree/main/skills/specialized-skills/database-skills/exporting-rds-to-s3 into .github/skills/exporting-rds-to-s3/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "exporting-rds-to-s3", 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 aws/agent-toolkit-for-aws --skill exporting-rds-to-s3 -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install aws/agent-toolkit-for-aws exporting-rds-to-s3 --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aws/agent-toolkit-for-aws.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/specialized-skills/database-skills/exporting-rds-to-s3 .opencode/skills/exporting-rds-to-s3 && 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 "exporting-rds-to-s3" agent skill from https://github.com/aws/agent-toolkit-for-aws/tree/main/skills/specialized-skills/database-skills/exporting-rds-to-s3 into .opencode/skills/exporting-rds-to-s3/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "exporting-rds-to-s3", 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.
Facts
- Skill name
exporting-rds-to-s3- GitHub stars
- 2.8k
- Token cost
- ~495 tokens
- SKILL.md length
- 200 words
- Files
- 2 (incl. references)
- Skills in repo
- 138
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Exports Amazon RDS or Aurora database snapshots to Amazon S3 in Apache Parquet format for analytics, backup, or data migration.
- Exporting RDS/Aurora data to S3 for Athena
- SKILL.md covers Overview, Export an RDS or Aurora… and Troubleshooting
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Redshift Spectrum consumption
What it does
Exporting Rds To S3 is an agent skill from aws/agent-toolkit-for-aws, published by the product's own GitHub organization. Exports Amazon RDS or Aurora database snapshots to Amazon S3 in Apache Parquet format for analytics, backup, or data migration. Handles snapshot selection or creation, IAM role setup, KMS encryption, S3 bucket preparation, export task execution, progress monitoring, and data verification. Use when exporting RDS/Aurora data to S3 for Athena, Glue, or Redshift Spectrum consumption.
Its SKILL.md is about 500 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/export-rds-to-s3.md`).
It sits in Backend & APIs, covering File uploads and storage, Data warehousing and DataFrames. It works with Amazon S3 and Amazon Web Services. The repository describes itself as: Official, AWS-supported MCP servers, skills, and plugins to help AI agents build on AWS. The licence is Apache-2.0.
When your agent uses it
- Exporting RDS/Aurora data to S3 for Athena
- Redshift Spectrum consumption
Example prompts
- “Use the exporting-rds-to-s3 skill to export Amazon RDS or Aurora database snapshots to Amazon S3 in Apache Parquet format for analytics, backup, or…”
- “/exporting-rds-to-s3”
What it can do on your machine
Read from SKILL.md and the folder at commit 2cb0fa1. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Exporting Rds To S3 loads about 495 tokens when it runs, and up to ~15k if it reads all its reference files. Until then it costs about 101 tokens; SKILL.md has 200 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.
Safety
Auto-check passed
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.
SKILL.md
The full file from aws/agent-toolkit-for-aws at commit 2cb0fa1, republished under its Apache-2.0 licence (© aws). 200 words, ~495 tokens.
Download SKILL.mdSave it as
.claude/skills/exporting-rds-to-s3/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- exporting-rds-to-s3
- description
- Exports Amazon RDS or Aurora database snapshots to Amazon S3 in Apache Parquet format for analytics, backup, or data migration. Handles snapshot selection or creation, IAM role setup, KMS encryption, S3 bucket preparation, export task execution, progress monitoring, and data verification. Use when exporting RDS/Aurora data to S3 for Athena, Glue, or Redshift Spectrum consumption.
- version
- 1
Exporting RDS/Aurora to S3
Overview
Domain expertise for exporting Amazon RDS and Aurora database snapshots to Amazon S3 in Apache Parquet format. Covers the full workflow: snapshot identification or creation, IAM role and KMS encryption setup, S3 bucket preparation, export task initiation, progress monitoring, data verification, and post-export access guidance for analytics services like Athena, Glue, and Redshift Spectrum.
Export an RDS or Aurora snapshot to S3
To export a database snapshot to S3 with proper IAM roles, encryption, and monitoring, follow the procedure exactly. See RDS to S3 export procedure.
Troubleshooting
Database not found
Verify the database identifier spelling, case, and region. For Aurora, use describe-db-clusters instead of describe-db-instances.
Export not supported
Snapshot export supports MySQL, PostgreSQL, MariaDB, Aurora MySQL, and Aurora PostgreSQL only. Oracle and SQL Server are not supported.
IAM role permission errors
Ensure the role trust policy allows export.rds.amazonaws.com with aws:SourceAccount and aws:SourceArn conditions for confused deputy protection, and has S3 PutObject and KMS permissions. Wait 10–15 seconds after role creation for propagation.
Export stuck or failed
Check the export task status for failure reasons. Common causes: S3 bucket deleted, IAM role modified, or KMS key disabled during export. See the full procedure for detailed troubleshooting.
© aws, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file (references) in skills/specialized-skills/database-skills/exporting-rds-to-s3 of aws/agent-toolkit-for-aws.
- SKILL.md
- references/export-rds-to-s3.md
Open the folder on GitHubat commit 2cb0fa1
Compare with similar skills
Exporting Rds To S3 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 |
|---|---|---|---|---|---|---|
| Exporting Rds To S3 this skillaws/agent-toolkit-for-aws | 2.8k | — | ~495 | Automated safety check: Pass | Apache-2.0 | |
| AWS S3sickn33/agentic-awesome-skills | 47k | 2 repos | ~3.1k | Automated safety check: Pass | MIT | |
| Django Storages for S3Jeffallan/claude-skills | 12k | — | ~1.9k | Automated safety check: Pass | MIT | |
| Neon Object Storageneondatabase/agent-skills | 100 | — | ~3.5k | Automated safety check: Notes | Apache-2.0 | |
| S3itsmostafa/aws-agent-skills | 1.2k | — | ~2.3k | Automated safety check: Pass | MIT | |
| Remediating S3 Bucket Misconfigurationmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~3k | Automated safety check: Pass | Apache-2.0 |
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Questions about Exporting Rds To S3
What does Exporting Rds To S3 do?
Exports Amazon RDS or Aurora database snapshots to Amazon S3 in Apache Parquet format for analytics, backup, or data migration. Exporting Rds To S3 is an agent skill from aws/agent-toolkit-for-aws, published by the product's own GitHub organization. Exports Amazon RDS or Aurora database snapshots to Amazon S3 in Apache Parquet format for analytics, backup, or data migration.
When should I use Exporting Rds To S3?
Exporting Rds To S3 fits situations like: exporting RDS/Aurora data to S3 for Athena; redshift Spectrum consumption.
How do I install Exporting Rds To S3 in Claude Code?
Run `npx skills add aws/agent-toolkit-for-aws --skill exporting-rds-to-s3 -a claude-code`. Or copy the skill folder (skills/specialized-skills/database-skills/exporting-rds-to-s3 in aws/agent-toolkit-for-aws) into .claude/skills/exporting-rds-to-s3 in your project. Claude Code loads it when a task matches its description.
How do I install Exporting Rds To S3 in Codex?
Run `npx skills add aws/agent-toolkit-for-aws --skill exporting-rds-to-s3 -a codex`. Or copy the skill folder (skills/specialized-skills/database-skills/exporting-rds-to-s3 in aws/agent-toolkit-for-aws) into .agents/skills/exporting-rds-to-s3 in your project. Codex loads it when a task matches its description.
Can I use Exporting Rds To S3 in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aws/agent-toolkit-for-aws --skill exporting-rds-to-s3 -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/exporting-rds-to-s3, .gemini/skills/exporting-rds-to-s3, .github/skills/exporting-rds-to-s3 and .opencode/skills/exporting-rds-to-s3 in your project.
What does Exporting Rds To S3 need to run?
SKILL.md names no scripts, command-line tools or credentials: Exporting Rds To S3 is instructions for the agent only.
Does Exporting Rds To S3 access the network?
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.
Is Exporting Rds To S3 safe to install?
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.
What licence does Exporting Rds To S3 use?
Exporting Rds To S3 is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Exporting Rds To S3 use?
About 495 tokens (SKILL.md is roughly 2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 15k tokens, read only when the agent opens those files.
What are the alternatives to Exporting Rds To S3?
Skills that share tags, products or a category with Exporting Rds To S3: AWS S3 (sickn33/agentic-awesome-skills, 47k stars), Django Storages for S3 (Jeffallan/claude-skills, 12k stars), Neon Object Storage (neondatabase/agent-skills, 100 stars) and S3 (itsmostafa/aws-agent-skills, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Exporting Rds To S3?
aws (a GitHub organization, an official publisher) maintains it in aws/agent-toolkit-for-aws, which has 2,835 GitHub stars. The repository holds 138 skills in this directory. The repository was last updated on October 9, 2026.
Source: aws/agent-toolkit-for-aws on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.