Neon Functions
neondatabase/agent-skills
Long-running, serverless Node.js HTTP functions deployed onto your Neon branch, with DATABASEURL injected automatically and compute that runs next to your data.
Operates Amazon Kinesis Data Streams (KDS). An agent skill from aws/agent-toolkit-for-aws.
Install Managing Amazon Kinesis Data Streams
$ npx skills add aws/agent-toolkit-for-aws --skill managing-amazon-kinesis-data-streams -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aws/agent-toolkit-for-aws managing-amazon-kinesis-data-streams --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/analytics-skills/managing-amazon-kinesis-data-streams .claude/skills/managing-amazon-kinesis-data-streams && 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 "managing-amazon-kinesis-data-streams" agent skill from https://github.com/aws/agent-toolkit-for-aws/tree/main/skills/specialized-skills/analytics-skills/managing-amazon-kinesis-data-streams into .claude/skills/managing-amazon-kinesis-data-streams/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "managing-amazon-kinesis-data-streams", 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/analytics-skills/managing-amazon-kinesis-data-streamsType 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 managing-amazon-kinesis-data-streams -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aws/agent-toolkit-for-aws managing-amazon-kinesis-data-streams --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/analytics-skills/managing-amazon-kinesis-data-streams .agents/skills/managing-amazon-kinesis-data-streams && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "managing-amazon-kinesis-data-streams" agent skill from https://github.com/aws/agent-toolkit-for-aws/tree/main/skills/specialized-skills/analytics-skills/managing-amazon-kinesis-data-streams into .agents/skills/managing-amazon-kinesis-data-streams/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "managing-amazon-kinesis-data-streams", 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 managing-amazon-kinesis-data-streams -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aws/agent-toolkit-for-aws managing-amazon-kinesis-data-streams --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/analytics-skills/managing-amazon-kinesis-data-streams .cursor/skills/managing-amazon-kinesis-data-streams && 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 "managing-amazon-kinesis-data-streams" agent skill from https://github.com/aws/agent-toolkit-for-aws/tree/main/skills/specialized-skills/analytics-skills/managing-amazon-kinesis-data-streams into .cursor/skills/managing-amazon-kinesis-data-streams/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "managing-amazon-kinesis-data-streams", 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/analytics-skills/managing-amazon-kinesis-data-streams--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 managing-amazon-kinesis-data-streams -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aws/agent-toolkit-for-aws managing-amazon-kinesis-data-streams --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/analytics-skills/managing-amazon-kinesis-data-streams .gemini/skills/managing-amazon-kinesis-data-streams && 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 "managing-amazon-kinesis-data-streams" agent skill from https://github.com/aws/agent-toolkit-for-aws/tree/main/skills/specialized-skills/analytics-skills/managing-amazon-kinesis-data-streams into .gemini/skills/managing-amazon-kinesis-data-streams/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "managing-amazon-kinesis-data-streams", 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 managing-amazon-kinesis-data-streamsInstalls 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 managing-amazon-kinesis-data-streams -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/analytics-skills/managing-amazon-kinesis-data-streams .github/skills/managing-amazon-kinesis-data-streams && 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 "managing-amazon-kinesis-data-streams" agent skill from https://github.com/aws/agent-toolkit-for-aws/tree/main/skills/specialized-skills/analytics-skills/managing-amazon-kinesis-data-streams into .github/skills/managing-amazon-kinesis-data-streams/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "managing-amazon-kinesis-data-streams", 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 managing-amazon-kinesis-data-streams -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 managing-amazon-kinesis-data-streams --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/analytics-skills/managing-amazon-kinesis-data-streams .opencode/skills/managing-amazon-kinesis-data-streams && 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 "managing-amazon-kinesis-data-streams" agent skill from https://github.com/aws/agent-toolkit-for-aws/tree/main/skills/specialized-skills/analytics-skills/managing-amazon-kinesis-data-streams into .opencode/skills/managing-amazon-kinesis-data-streams/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "managing-amazon-kinesis-data-streams", 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
managing-amazon-kinesis-data-streams- GitHub stars
- 2.8k
- Token cost
- ~1.1k tokens
- SKILL.md length
- 385 words
- Files
- 4 (incl. references)
- Skills in repo
- 138
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Operates Amazon Kinesis Data Streams (KDS). An agent skill from aws/agent-toolkit-for-aws.
- Kinesis Data Firehose
- SKILL.md covers Overview, Which Workflow Do You Need?, Prerequisites and Hard Limits to Check First, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Kinesis Video Streams
What it does
Managing Amazon Kinesis Data Streams is an agent skill from aws/agent-toolkit-for-aws, published by the product's own GitHub organization. Operates Amazon Kinesis Data Streams (KDS). Covers streaming tables and Amazon S3 delivery - serverless, fully managed delivery from a KDS stream to Apache Iceberg tables on S3 Tables or to general-purpose S3 buckets. Includes channel setup, IAM, schemas, output key templates, CloudWatch metrics and alarms, DLQ handling, quotas, and troubleshooting. For all other KDS topics and questions, search AWS documentation and blogs instead. Triggers: Kinesis Data Streams, KDS, streaming tables, stream to S3, stream to…
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `references/general-purpose-delivery-to-s3.md`, `references/monitoring-security-and-limits.md` and `references/streaming-tables.md`).
It sits in Backend & APIs, covering File uploads and storage, Serverless and Data warehousing. It works with Amazon Web Services and Amazon S3. 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
- Kinesis Data Firehose
- Kinesis Video Streams
- Managed Service for Apache Flink — use dedicated skills
- Search documentation instead
Example prompts
- “Use the managing-amazon-kinesis-data-streams skill to operate Amazon Kinesis Data Streams (KDS). An agent skill from aws/agent-toolkit-for-aws”
- “/managing-amazon-kinesis-data-streams”
What it can do on your machine
Read from SKILL.md and the folder at commit df2ab44. 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
Links to these hosts (documentation or services it may open):
docs.aws.amazon.com
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
Managing Amazon Kinesis Data Streams loads about 1.1k tokens when it runs, and up to ~11k if it reads all its reference files. Until then it costs about 231 tokens; SKILL.md has 385 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 df2ab44, republished under its Apache-2.0 licence (© aws). 385 words, ~1,121 tokens.
Download SKILL.mdSave it as
.claude/skills/managing-amazon-kinesis-data-streams/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.- name
- managing-amazon-kinesis-data-streams
- description
- Operates Amazon Kinesis Data Streams (KDS). Covers streaming tables and Amazon S3 delivery - serverless, fully managed delivery from a KDS stream to Apache Iceberg tables on S3 Tables or to general-purpose S3 buckets. Includes channel setup, IAM, schemas, output key templates, CloudWatch metrics and alarms, DLQ handling, quotas, and troubleshooting. For all other KDS topics and questions, search AWS documentation and blogs instead. Triggers: Kinesis Data Streams, KDS, streaming tables, stream to S3, stream to Iceberg, stream to S3 Tables, KDS delivery, KDS channel, CreateChannel, data channel, data freshness, dead-letter queue, KDS lakehouse, serverless Kinesis delivery, Firehose alternative for KDS, zero-ops Kinesis to S3. DO NOT USE for Kinesis Data Firehose, Kinesis Video Streams, or Managed Service for Apache Flink — use dedicated skills or search documentation instead.
- version
- 1
Amazon Kinesis Data Streams
Overview
Domain expertise for Amazon Kinesis Data Streams. This skill covers streaming tables and Amazon S3 delivery, which provide serverless, fully managed delivery from a KDS stream directly to Apache Iceberg tables on S3 Tables or to general-purpose S3 buckets — no consumers, no Firehose, no Flink required for append-only delivery.
Delivery is configured as a channel on a stream via CreateChannel. Channels consume no shard capacity and no enhanced fan-out slots, so they do not compete with existing consumers.
The AWS MCP server is recommended for executing AWS operations. When the MCP server is not available, use the AWS CLI or shell commands instead.
Which Workflow Do You Need?
| Customer Intent | Reference |
|---|---|
| Deliver stream data to Apache Iceberg tables on S3 Tables — setup, IAM, Glue schema, type mapping, partitioning, channel lifecycle | references/streaming-tables.md |
| Deliver stream data to a general-purpose S3 bucket as objects — setup, IAM, compression, storage class, output key templates, channel lifecycle | references/general-purpose-delivery-to-s3.md |
| Build a lakehouse / data lake from Kinesis; make streaming data queryable in Athena | references/streaming-tables.md |
| Zero-ops, serverless alternative to Firehose or Kinesis consumers for KDS → S3 delivery | references/general-purpose-delivery-to-s3.md |
| CloudWatch metrics and alarms, delivery logging, CloudTrail, encryption, channel states, quotas, naming rules, what can be updated | references/monitoring-security-and-limits.md |
| Channel is ACTIVE but no data arrives; records landing in the DLQ; rising data freshness | Start with references/monitoring-security-and-limits.md, then the destination-specific troubleshooting table |
| Deliver to both S3 and S3 Tables from one stream | Supported — create one channel per destination |
Show full SKILL.md (144 more words)Show less
Prerequisites
Both destinations require an ON_DEMAND stream — provisioned-mode streams are not supported. Each channel also needs an IAM service execution role trusted by kinesis.amazonaws.com, and a destination in the same Region as the stream.
Hard Limits to Check First
These rule out the feature entirely, so confirm them before designing a solution:
- Append-only — no CDC, upserts, or deletes
- No schema evolution — a schema change means deleting and recreating the channel
- No backfill — only records produced after the channel is
ACTIVEare delivered - No transformations — records are delivered as-is
- New table per channel — cannot deliver into an existing Iceberg table
- Data freshness is 300–900 seconds — not sub-minute
- Same Region only — cross-account is supported, cross-Region is not
If any of these block the customer, recommend Managed Service for Apache Flink instead.
Additional Resources
© 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 3 other files (references) in skills/specialized-skills/analytics-skills/managing-amazon-kinesis-data-streams of aws/agent-toolkit-for-aws.
- SKILL.md
- references/general-purpose-delivery-to-s3.md
- references/monitoring-security-and-limits.md
- references/streaming-tables.md
Open the folder on GitHubat commit df2ab44
Compare with similar skills
Managing Amazon Kinesis Data Streams 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 |
|---|---|---|---|---|---|---|
| Managing Amazon Kinesis Data Streams this skillaws/agent-toolkit-for-aws | 2.8k | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| Neon Functionsneondatabase/agent-skills | 100 | — | ~12k | Automated safety check: Notes | Apache-2.0 | |
| 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 | |
| AWS S3sickn33/agentic-awesome-skills | 47k | 2 repos | ~3.1k | Automated safety check: Pass | MIT | |
| S3itsmostafa/aws-agent-skills | 1.2k | — | ~2.3k | Automated safety check: Pass | MIT |
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Questions about Managing Amazon Kinesis Data Streams
What does Managing Amazon Kinesis Data Streams do?
Operates Amazon Kinesis Data Streams (KDS). An agent skill from aws/agent-toolkit-for-aws. Managing Amazon Kinesis Data Streams is an agent skill from aws/agent-toolkit-for-aws, published by the product's own GitHub organization. Operates Amazon Kinesis Data Streams (KDS).
When should I use Managing Amazon Kinesis Data Streams?
Managing Amazon Kinesis Data Streams fits situations like: kinesis Data Firehose; kinesis Video Streams; managed Service for Apache Flink — use dedicated skills; search documentation instead.
How do I install Managing Amazon Kinesis Data Streams in Claude Code?
Run `npx skills add aws/agent-toolkit-for-aws --skill managing-amazon-kinesis-data-streams -a claude-code`. Or copy the skill folder (skills/specialized-skills/analytics-skills/managing-amazon-kinesis-data-streams in aws/agent-toolkit-for-aws) into .claude/skills/managing-amazon-kinesis-data-streams in your project. Claude Code loads it when a task matches its description.
How do I install Managing Amazon Kinesis Data Streams in Codex?
Run `npx skills add aws/agent-toolkit-for-aws --skill managing-amazon-kinesis-data-streams -a codex`. Or copy the skill folder (skills/specialized-skills/analytics-skills/managing-amazon-kinesis-data-streams in aws/agent-toolkit-for-aws) into .agents/skills/managing-amazon-kinesis-data-streams in your project. Codex loads it when a task matches its description.
Can I use Managing Amazon Kinesis Data Streams 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 managing-amazon-kinesis-data-streams -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/managing-amazon-kinesis-data-streams, .gemini/skills/managing-amazon-kinesis-data-streams, .github/skills/managing-amazon-kinesis-data-streams and .opencode/skills/managing-amazon-kinesis-data-streams in your project.
What does Managing Amazon Kinesis Data Streams need to run?
SKILL.md names no scripts, command-line tools or credentials: Managing Amazon Kinesis Data Streams is instructions for the agent only.
Does Managing Amazon Kinesis Data Streams access the network?
SKILL.md names 1 domain. As links in the text: docs.aws.amazon.com. This is read from the text; nothing was executed.
Is Managing Amazon Kinesis Data Streams 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 Managing Amazon Kinesis Data Streams use?
Managing Amazon Kinesis Data Streams 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 Managing Amazon Kinesis Data Streams use?
About 1.1k tokens (SKILL.md is roughly 4.5k 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 10k tokens, read only when the agent opens those files.
What are the alternatives to Managing Amazon Kinesis Data Streams?
Skills that share tags, products or a category with Managing Amazon Kinesis Data Streams: Neon Functions (neondatabase/agent-skills, 100 stars), Django Storages for S3 (Jeffallan/claude-skills, 12k stars), Neon Object Storage (neondatabase/agent-skills, 100 stars) and AWS S3 (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Managing Amazon Kinesis Data Streams?
aws (a GitHub organization, an official publisher) maintains it in aws/agent-toolkit-for-aws, which has 2,830 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.