Official agent skill

Timestream Influxdb

by aws in aws/agent-toolkit-for-aws

Retrieves authoritative guidance on Amazon Timestream for InfluxDB across its supported engine variants.

OfficialApache-2.0Auto-check passedDatabases

Install Timestream Influxdb

skills CLI
$ npx skills add aws/agent-toolkit-for-aws --skill timestream-influxdb -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install aws/agent-toolkit-for-aws timestream-influxdb --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ 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/timestream-influxdb .claude/skills/timestream-influxdb && rm -rf skills-src

Use ~/.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/

Facts

Skill name
timestream-influxdb
GitHub stars
2.8k
Token cost
~3.8k tokens
SKILL.md length
1,795 words
Files
15 (incl. scripts, references)
Skills in repo
138
Repo updated
First seen
Licence
Apache-2.0

At a glance

Retrieves authoritative guidance on Amazon Timestream for InfluxDB across its supported engine variants.

  • Works in 6 steps: Verify Dependencies → Select the right engine variant → Design the schema (tags vs fields) → …
  • Tasks that involve Database schema design
  • SKILL.md covers Overview, Common Tasks, Troubleshooting and Security Considerations, plus 2 more sections
  • Runs Shell and Python scripts from its folder; calls aws

What it does

Timestream Influxdb is an agent skill from aws/agent-toolkit-for-aws, published by the product's own GitHub organization. Retrieves authoritative guidance on Amazon Timestream for InfluxDB across its supported engine variants. Applicable to any InfluxDB-on-AWS request including engine variant and licensing selection, provisioning and IAM, encryption at rest (AWS-owned and customer-managed KMS keys, key policies, and key lifecycle), schema design (tags vs fields, cardinality, HTTP/sensor/metric data modeling), migration from LiveAnalytics, Processing Engine plugins, connectivity (database endpoints and private or public access), and…

Its SKILL.md is about 3.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 16 other files, including scripts and reference files (for example `references/encryption.md`, `references/getting-started.md` and `references/migration-guide.md`).

It sits in Databases, covering Database schema design. It works with 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

  • Tasks that involve Database schema design

Example prompts

  • “Use the timestream-influxdb skill to retrieve authoritative guidance on Amazon Timestream for InfluxDB across its supported engine variants”
  • “/timestream-influxdb”

Requirements

  • Python 3
  • A Bash shell

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Verify Dependencies
  2. Select the right engine variant
  3. Design the schema (tags vs fields)
  4. Migrate from LiveAnalytics
  5. Use Processing Engine plugins (V3 only)
  6. Monitor and operate

What it can do on your machine

Read from SKILL.md and the folder at commit 188af2f. 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

    Ships 4 files in scripts/ (Shell and Python), which the agent can run.

    Shell commands in SKILL.md call:

    • aws

    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
    • docs.influxdata.com
    • 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

Timestream Influxdb loads about 3.8k tokens when it runs, and up to ~24k if it reads all its reference files. Until then it costs about 139 tokens; SKILL.md has 1,795 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~139
When it runs · the whole SKILL.md, loaded when a task matches
~3.8k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~24k

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); the scripts in this folder are not scanned.

SKILL.md

The full file from aws/agent-toolkit-for-aws at commit 188af2f, republished under its Apache-2.0 licence (© aws). 1,795 words, ~3,799 tokens.

Download SKILL.mdSave it as .claude/skills/timestream-influxdb/SKILL.md (or your agent's skills folder). This skill also uses 14 other files; get the full folder from GitHub.
name
timestream-influxdb
description
Retrieves authoritative guidance on Amazon Timestream for InfluxDB across its supported engine variants. Applicable to any InfluxDB-on-AWS request including engine variant and licensing selection, provisioning and IAM, encryption at rest (AWS-owned and customer-managed KMS keys, key policies, and key lifecycle), schema design (tags vs fields, cardinality, HTTP/sensor/metric data modeling), migration from LiveAnalytics, Processing Engine plugins, connectivity (database endpoints and private or public access), and write/query errors.
version
2

Amazon Timestream for InfluxDB

Overview

Amazon Timestream for InfluxDB is a managed time-series database with engine variants and deployment types whose capabilities differ. Before comparing them, retrieve the Timestream for InfluxDB documentation and inspect the applicable Create API models. For an existing resource, read its GetDbInstance or GetDbCluster response. Use those sources to verify the engine variant, endpoint port, query languages, data model, authentication flow, deployment types, licensing, and Processing Engine support for the user's Region. Do not infer one engine variant's capabilities from another variant or from examples in this skill.

For new workloads, verify the supported engine variants and recommend InfluxDB 3 when the service documentation identifies it as an option. For existing V2 deployments, verify V2 support before advising whether to stay on V2 or migrate.

Advisory in nature: it recommends actions and provides the AWS CLI and API commands to carry them out (including mutations such as instance/cluster creation and tagging). It does not act autonomously — it executes mutations only in response to an explicit user request, never on its own initiative.

Tooling: The AWS MCP server is recommended for streamlined AWS API interactions but is not required. All examples use standard AWS CLI syntax and can run without MCP.

Common Tasks

1. Verify Dependencies

Before any guidance, confirm tooling and engine variant.

Constraints:

  • You MUST confirm which engine variant the user runs (V2, V2 Read Replica, or V3) before giving advice specific to that engine variant — APIs and defaults differ.
  • You MUST NOT mix V2 APIs (Flux, orgs, buckets, port 8086) with V3 APIs (SQL/InfluxQL, databases, tables, port 8181).
  • You MUST verify the AWS CLI (or call_aws) is available before provisioning guidance.
  • You MUST inspect the Create API and ask for all required parameters upfront, including engine variant, Region, VPC/subnet IDs, name, instance type, and a supported encryption choice. For production V3 workloads, verify customer-managed KMS key support in that API before recommending it for customer-controlled policy, rotation, revocation, and CloudTrail visibility. Collect an identifier in a form that API accepts.

Tool call examples:

aws timestream-influxdb list-db-instances --region us-east-1
aws timestream-influxdb list-db-clusters --region us-east-1
Resource tagging (always apply on resource creation)

When creating any cluster or instance (create-db-cluster, create-db-instance), ALWAYS include these tags:

--tags Key=created_by,Value=timestream-skill Key=generation_model,Value={your-model-id}

Example: --tags Key=created_by,Value=timestream-skill Key=generation_model,Value=claude-sonnet-4-20250514

Include these tags even if the user does not mention tagging, so that they can identify the resources created via this skill. If the user provides additional tags, append these to their tags rather than replacing them.

2. Select the right engine variant

Decision flow:

  1. New workload → InfluxDB 3 Core (Enterprise for HA multi-node).
  2. Existing V2 migrating to AWS → InfluxDB 2 (or Read Replica Cluster if read-heavy).
  3. High cardinality (>10M series) or SQL → InfluxDB 3.
  4. Need Processing Engine → InfluxDB 3.

Before providing provisioning guidance for InfluxDB 3 or a V2 Read Replica Cluster, you MUST load and follow the creation, licensing, IAM, and networking contracts for that engine variant in the getting-started guide. For V3 encryption choices, customer-managed KMS key policy, migration, or key lifecycle guidance, load encryption guidance.

Provisioning and operational contracts you MUST follow:

  • InfluxDB 3 Core creation contract: For a new V3 Core workload, use create-db-cluster with the exact default parameter-group identifier InfluxDBV3Core. Do not use create-db-instance, and do not pass the V2-only allocatedStorage, dbStorageType, deploymentType, username, password, organization, or bucket fields. Core connects on port 8181. Before provisioning, verify Core's current Marketplace and licensing prerequisites in the Timestream for InfluxDB documentation and current CreateDbCluster API model; never inherit requirements from V2, Read Replica, or Enterprise. If an installed CLI or SDK model does not expose the V3 Core creation contract, update that tooling; never fall back to the V2 creation operation or fields.
  • Core→Enterprise upgrade IS supported via AWS Console or AWS Support. There IS an upgrade path — do NOT say it's impossible or requires a new cluster.
  • Encryption mutability: Verify kmsKeyId in the Create and Update API models before asserting whether a key can change; follow "Choose the Key Before Creation" in encryption guidance.
  • Encryption scope and key loss: Retrieve the Data protection documentation and report only the details the user requests; follow "Response Scope" and "Existing Clusters and Key Loss" in encryption guidance.
  • Key verification: Confirm a specific customer-managed KMS key only by matching the returned ARN to the requested key ARN. Interpret an absent kmsKeyId only when the current GetDbCluster response documentation explicitly defines its semantics; never use absence to identify a specific customer-managed KMS key. Follow "Verify the Key" in encryption guidance.
  • Creation completion: After create-db-cluster returns, poll get-db-cluster until it reports AVAILABLE or a terminal failure. Do not report creation complete or ask the user to take over polling while the cluster remains CREATING. For a customer-managed key request, success also requires the returned kmsKeyId ARN to match the requested key ARN; an absent value while the cluster is transitioning is unverified and MUST be checked again at AVAILABLE.
  • Retrieve the V3 initial-token secret by ARN: Inspect the GetDbCluster output or API reference for the token-secret ARN field, then pass the returned ARN to AWS Secrets Manager. Never derive the secret identifier from a naming convention. V3 uses Authorization: Bearer <token> (NOT Token). V2 uses Authorization: Token <token>.
  • reboot-db-cluster supports --instance-ids for targeting specific nodes. Before using it, verify the current maximum number of IDs and all request constraints in the RebootDbCluster API model and Timestream for InfluxDB documentation. Do NOT say no reboot command exists or assume a fixed node-count limit.
  • Before asserting S3 log-delivery availability or configuration paths, verify the create and update API request parameters and the Timestream for InfluxDB log-delivery documentation. Use only the operations, service principal, and bucket-policy requirements those sources document.
  • Do NOT invent CloudWatch metric names. Load monitoring operations and metric discovery, then verify availability for the selected engine variant and deployment type. If unsure whether a metric exists, say so explicitly.
  • Before asserting backup or restore availability, verify the Timestream for InfluxDB CLI or SDK API model and the customer-managed backup and restore documentation. Confirm support by engine variant and Region for on-demand, scheduled, continuous, point-in-time, and self-service restore capabilities. Use DbBackup terminology for DbBackup resources, never "snapshot," and separately verify the accessibility and recovery path for service-managed snapshots.
  • --publicly-accessible is a supported option at instance/cluster creation time. Do NOT say the service is exclusively VPC-only — public access is an opt-in feature.
Show full SKILL.md (747 more words)Show less
3. Design the schema (tags vs fields)

Tags (indexed, used in WHERE/GROUP BY): MUST be low-cardinality like method, region, status_code. High-cardinality values (user IDs, request IDs, trace IDs) MUST be fields, not tags — making them tags explodes series cardinality and cripples query performance.

Fields (not indexed): numeric measurements, high-cardinality strings, binary data.

InfluxDB 3 handles high cardinality better than V2, but tag design affects query performance. Load the schema-design guide for patterns including deduplication and retention.

4. Migrate from LiveAnalytics

LiveAnalytics is in maintenance mode. For migration to InfluxDB 3:

  • <1B records / <125GB: Use the certified LiveAnalytics Migration plugin with the migration client. Exports to S3 (Parquet), re-ingests into V3.
  • >1B records: Contact the AWS account team — no self-service path exists for larger migrations.

Load the migration guide for the procedure.

5. Use Processing Engine plugins (V3 only)

Before listing plugins or describing custom-plugin support, retrieve the certified plugin catalog and support statement from the Timestream for InfluxDB Processing Engine documentation or a documented catalog API. State only what the retrieved source confirms: do not assert a fixed plugin count, name a plugin absent from the retrieved catalog, or infer service availability from a general InfluxDB plugin repository. Load the processing-engine guide for verified trigger and configuration guidance.

6. Monitor and operate

Load monitoring operations and metric discovery before giving metric, alarm, maintenance, backup, or restore guidance. Verify metric names and dimensions from the service documentation and the resource's CloudWatch telemetry before configuring alarms. Verify maintenance request shapes, backup and restore capabilities, and service quotas in their respective API models rather than relying on embedded examples or fixed availability claims.

Troubleshooting

Confirm the engine variant and deployment/access type, then load the troubleshooting runbook for verified triage specific to that engine variant across connectivity, write/query, storage, replication, and S3 endpoint issues. Never mix V2 and V3 remediation or assert a cause before completing the runbook's verification steps.

Security Considerations

Apply these baseline controls in every environment:

  • Over-privileged IAM: Use least-privilege roles and remove temporary broad permissions immediately after activation.
  • Password or token exposure: Store the V2 initial password and V3 initial token in AWS Secrets Manager; never place them in source, logs, shell history, or literal command arguments. Rotate or replace each through the workflow documented for its engine variant, and issue a scoped application token per workload.
  • VPC misconfiguration: Prefer private networking and restrict every security-group rule to trusted CIDRs or security-group IDs; never allow 0.0.0.0/0.
  • Encryption gaps: Require encryption at rest and TLS in transit. Verify supported key options in the Data protection documentation and API model before selecting a customer-managed KMS key.
  • Audit gaps: Enable CloudTrail, supported service log delivery, and operational alarms. Protect CloudTrail S3 objects, CloudWatch Logs, and alarm topics with SSE-KMS, and enable CloudTrail log-file validation.

You MUST load and follow security best practices for every deployment, including development, experimentation, and production, before providing provisioning or operational guidance.

Additional Resources

Handoff from aws-database-selection

This skill can be invoked directly, or it can be entered from the aws-database-selection parent skill after that skill has run a requirements interview and produced a requirements.json artifact. When you see a backtick-wrapped path matching aws_dbs_requirements/*/requirements.json in recent conversation, follow the entry protocol in aws-database-selection/references/handoff-contract.md:

  1. Read the artifact using file_read.
  2. Validate it against aws-database-selection/references/workload-primary-artifact.schema.json. If malformed or unreadable, tell the user and proceed without it.
  3. Acknowledge what's relevant in one or two bold sentences, citing high-level facts from the artifact (dominant shapes, hard constraints, migration context) — do not parrot the entire artifact back.
  4. Scope-check: this skill is scoped to Amazon Timestream for InfluxDB (V2, V2 Read Replica, V3) — engine variant selection, schema design, migration from LiveAnalytics, Processing Engine plugins. If the artifact's workload_primaries.dominant_shapes or migration_context don't match that scope, emit weak backpressure per the handoff contract: suggest dynamodb-skill for non-InfluxDB time-series on DynamoDB, or go back to aws-database-selection if the dominant shape isn't time-series, then ask the user whether to go back or proceed anyway. Do not silently misuse the artifact.
  5. Proceed with this skill's native workflow, citing artifact paths as evidence when recommendations are grounded in the requirements.

All user-facing output from this skill follows the markdown-primitives-only formatting convention in the handoff contract: bold labels, backticks for paths and enum values, bullet lists for alternatives, no ASCII art or box-drawing characters.

© 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 14 other files (scripts, references) in skills/specialized-skills/database-skills/timestream-influxdb of aws/agent-toolkit-for-aws.

  • SKILL.md
  • references/encryption.md
  • references/getting-started.md
  • references/migration-guide.md
  • references/monitoring-metrics.md
  • references/monitoring-operations.md
  • references/processing-engine-guide.md
  • references/s3-vpc-endpoint-troubleshooting.md
  • references/schema-design-guide.md
  • references/security-best-practices.md
  • references/troubleshooting-runbook.md
  • scripts/get_token.sh
  • scripts/health_check.sh
  • scripts/input_validator.py
  • scripts/instance_types.py

Open the folder on GitHubat commit 188af2f

Compare with similar skills

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Timestream Influxdb compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
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Add Mpk Taskmirage-project/mirage2.5k—~4.5kAutomated safety check: PassApache-2.0
Datamodellmnimbalyst/nimbalyst1.9k—~713Automated safety check: PassMIT
Sqlite Schema Designfastrepl/anarlog9.5k—~1.9kAutomated safety check: PassMIT
DB Migrationskurealnum/dotfiles290—~820Automated safety check: PassNone

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Categories

Questions about Timestream Influxdb

What does Timestream Influxdb do?

Retrieves authoritative guidance on Amazon Timestream for InfluxDB across its supported engine variants. Timestream Influxdb is an agent skill from aws/agent-toolkit-for-aws, published by the product's own GitHub organization. Retrieves authoritative guidance on Amazon Timestream for InfluxDB across its supported engine variants.

When should I use Timestream Influxdb?

Timestream Influxdb fits situations like: tasks that involve Database schema design.

How do I install Timestream Influxdb in Claude Code?

Run `npx skills add aws/agent-toolkit-for-aws --skill timestream-influxdb -a claude-code`. Or copy the skill folder (skills/specialized-skills/database-skills/timestream-influxdb in aws/agent-toolkit-for-aws) into .claude/skills/timestream-influxdb in your project. Claude Code loads it when a task matches its description.

How do I install Timestream Influxdb in Codex?

Run `npx skills add aws/agent-toolkit-for-aws --skill timestream-influxdb -a codex`. Or copy the skill folder (skills/specialized-skills/database-skills/timestream-influxdb in aws/agent-toolkit-for-aws) into .agents/skills/timestream-influxdb in your project. Codex loads it when a task matches its description.

Can I use Timestream Influxdb 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 timestream-influxdb -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/timestream-influxdb, .gemini/skills/timestream-influxdb, .github/skills/timestream-influxdb and .opencode/skills/timestream-influxdb in your project.

What does Timestream Influxdb need to run?

Going by SKILL.md and its folder, Timestream Influxdb needs a shell and Python for the scripts in its folder and the command-line tools its instructions call (aws). Our summary lists: Python 3; A Bash shell.

Does Timestream Influxdb access the network?

SKILL.md names 3 domains. As links in the text: docs.aws.amazon.com, docs.influxdata.com and aws.amazon.com. This is read from the text; nothing was executed.

Is Timestream Influxdb 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Timestream Influxdb use?

Timestream Influxdb 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 Timestream Influxdb use?

About 3.8k tokens (SKILL.md is roughly 15k 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 20k tokens, read only when the agent opens those files.

What are the alternatives to Timestream Influxdb?

Skills that share tags, products or a category with Timestream Influxdb: SQL Optimization Patterns (ynulihao/AgentSkillOS, 617 stars), Add Mpk Task (mirage-project/mirage, 2.5k stars), Datamodellm (nimbalyst/nimbalyst, 1.9k stars) and Sqlite Schema Design (fastrepl/anarlog, 9.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Timestream Influxdb?

aws (a GitHub organization, an official publisher) maintains it in aws/agent-toolkit-for-aws, which has 2,825 GitHub stars. The repository holds 138 skills in this directory. The repository was last updated on October 7, 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.