SageMaker IAM Role Preflight
huggingface/skills
Finds or validates a usable SageMaker execution role before deploying or training, so scripts do not try to create IAM roles they lack permission to create.
Onboards RCS Business Messaging and Notify OTP via the pinpoint-sms-voice-v2 AWS CLI.
$ npx skills add aws/agent-toolkit-for-aws --skill aws-sms-voice -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aws/agent-toolkit-for-aws aws-sms-voice --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/messaging-and-streaming-skills/aws-sms-voice .claude/skills/aws-sms-voice && 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-sms-voice" agent skill from https://github.com/aws/agent-toolkit-for-aws/tree/main/skills/specialized-skills/messaging-and-streaming-skills/aws-sms-voice into .claude/skills/aws-sms-voice/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aws-sms-voice", 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/messaging-and-streaming-skills/aws-sms-voiceType 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 aws-sms-voice -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aws/agent-toolkit-for-aws aws-sms-voice --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/messaging-and-streaming-skills/aws-sms-voice .agents/skills/aws-sms-voice && 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-sms-voice" agent skill from https://github.com/aws/agent-toolkit-for-aws/tree/main/skills/specialized-skills/messaging-and-streaming-skills/aws-sms-voice into .agents/skills/aws-sms-voice/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aws-sms-voice", 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 aws-sms-voice -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aws/agent-toolkit-for-aws aws-sms-voice --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/messaging-and-streaming-skills/aws-sms-voice .cursor/skills/aws-sms-voice && 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-sms-voice" agent skill from https://github.com/aws/agent-toolkit-for-aws/tree/main/skills/specialized-skills/messaging-and-streaming-skills/aws-sms-voice into .cursor/skills/aws-sms-voice/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aws-sms-voice", 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/messaging-and-streaming-skills/aws-sms-voice--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 aws-sms-voice -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aws/agent-toolkit-for-aws aws-sms-voice --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/messaging-and-streaming-skills/aws-sms-voice .gemini/skills/aws-sms-voice && 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-sms-voice" agent skill from https://github.com/aws/agent-toolkit-for-aws/tree/main/skills/specialized-skills/messaging-and-streaming-skills/aws-sms-voice into .gemini/skills/aws-sms-voice/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aws-sms-voice", 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 aws-sms-voiceInstalls 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 aws-sms-voice -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/messaging-and-streaming-skills/aws-sms-voice .github/skills/aws-sms-voice && 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-sms-voice" agent skill from https://github.com/aws/agent-toolkit-for-aws/tree/main/skills/specialized-skills/messaging-and-streaming-skills/aws-sms-voice into .github/skills/aws-sms-voice/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aws-sms-voice", 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 aws-sms-voice -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 aws-sms-voice --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/messaging-and-streaming-skills/aws-sms-voice .opencode/skills/aws-sms-voice && 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-sms-voice" agent skill from https://github.com/aws/agent-toolkit-for-aws/tree/main/skills/specialized-skills/messaging-and-streaming-skills/aws-sms-voice into .opencode/skills/aws-sms-voice/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aws-sms-voice", 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-sms-voiceOnboards RCS Business Messaging and Notify OTP via the pinpoint-sms-voice-v2 AWS CLI.
AWS Sms Voice is an agent skill from aws/agent-toolkit-for-aws, published by the product's own GitHub organization. Onboards RCS Business Messaging and Notify OTP via the pinpoint-sms-voice-v2 AWS CLI. Covers creating a branded RCS test agent (logo, banner, rich cards, suggested replies), adding verified testers, and sending/receiving the first RCS message; and configuring AWS End User Messaging Notify to send one-time-passcode (OTP) verification codes through AWS-managed phone numbers without buying a number or completing carrier registration. Also discovers which registration type a country requires from live API definitions…
Its SKILL.md is about 2.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including reference files (for example `references/customer-go-to-production-guide.md`, `references/hello-notify-otp.md` and `references/hello-rcs-test-agent.md`).
It works with Amazon Web Services and WhatsApp. 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.
2 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit df2ab44. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
awsFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
docs.aws.amazon.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
AWS Sms Voice loads about 2.5k tokens when it runs, and up to ~27k if it reads all its reference files. Until then it costs about 243 tokens; SKILL.md has 1,079 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 aws/agent-toolkit-for-aws at commit df2ab44, republished under its Apache-2.0 licence (© aws). 1,079 words, ~2,463 tokens.
.claude/skills/aws-sms-voice/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.AWS End User Messaging SMS and Voice (the pinpoint-sms-voice-v2 API) is the
control and data plane for SMS, Voice, RCS Business Messaging, and Notify (OTP).
This skill covers the two fastest onboarding paths — each reaches
a real message on a real phone in about five minutes, with no phone-number
purchase and no carrier registration:
Beyond onboarding, this skill takes an identity to production registration in three steps:
This skill can be loaded two ways, and the references/ files resolve differently:
retrieve_skill tool. Reference files do not
exist on the local filesystem. Fetch them via retrieve_skill with the file
parameter (e.g., file="references/hello-rcs-test-agent.md"). Do NOT
file_read these paths locally — they are not there..kiro/skills/aws-sms-voice/). Read references
from the local skill directory using the relative paths shown in this file.This applies only to the skill's own packaged files. User-created artifacts (brand-assets/, temp files) are always in the user's working directory.
Execute commands using available tools from the AWS MCP server when connected — it provides sandboxed execution, audit logging, and observability. When the MCP server is not available, fall back to the AWS CLI or shell as needed.
| You want to… | Go to |
|---|---|
| Send rich, branded messages (cards, logo, two-way) to your own test phone | hello-rcs-test-agent.md |
| Send a verification code / OTP to any supported phone, fastest possible path | hello-notify-otp.md |
| Find out which registration a country needs and what fields it requires | registration-requirements-by-country.md |
| Create and submit a registration of any type (10DLC, toll-free, sender ID, RCS launch, Notify tier) | registration-core-engine.md |
| Take an identity to production (sandbox exit, RCS carrier launch + fallback, Notify Advanced, hygiene) | customer-go-to-production-guide.md |
RCS test agents deliver only to verified test devices and require a short brand registration (auto-reviewed in minutes). Notify sends to any recipient in its supported countries immediately, but is limited to AWS-managed OTP templates. Pick RCS to explore rich messaging; pick Notify for the shortest path to a production-grade verification text.
The AWS MCP server is recommended for the best experience here — it runs the many
pinpoint-sms-voice-v2 and sts calls with sandboxed execution, audit logging, and
observability. It is not a hard requirement: every step also works with the plain AWS CLI or the
AWS Agent Toolkit when the MCP server is not available.
aws sts get-caller-identity --region <REGION> (pass --region to use
the regional STS endpoint; the global sts.amazonaws.com endpoint is legacy). If it fails,
configure the user's auth (named profile / SSO / access keys — --profile <PROFILE> on every
command if a profile is in play) and prefer an assumed IAM role with ephemeral credentials. Each
reference file's Prerequisites carry the full auth, CloudTrail-audit, and CLI-freshness steps.sms-voice: actions in the target account (the reference files enumerate the
read/write actions each step uses — for example sms-voice:DescribeRcsAgents,
CreateRcsAgent, CreateRegistration, CreateNotifyConfiguration, and
SendNotifyTextMessage). Scope the policy to exactly the actions the chosen
path uses; do not grant sms-voice:* or *FullAccess.Invalid choice '<operation>' on a
pinpoint-sms-voice-v2 command, at any step, as a stale/partial local service model (not a
permissions or account problem). The RCS and Notify reference files (prerequisite 3) carry the
full reactive resolution: clear a stale ~/.aws/models/pinpoint-sms-voice-v2/ override, else
upgrade the AWS CLI, with a boto3 fallback. AccessDeniedException means the identity is
missing the required sms-voice: permissions.Each reference file is self-contained: it tracks the IDs you collect as session state, audits required inputs against the service before any submit, and ends with a Failure modes table and a Cleanup section. Follow the file for the path the user chose rather than improvising the API sequence — several steps fail silently or depend on service-version-specific field sets that must be read live.
sms-voice: actions; never
use *FullAccess or sms-voice:* in production. The reference files enumerate
the minimal read/write actions each onboarding path needs.sms-voice API calls and encrypt
CloudTrail logs and CloudWatch Log groups with a KMS CMK. Attach a
configuration set with an event destination (CloudWatch Logs or Kinesis) for
delivery monitoring before production traffic. Create CloudWatch alarms on
key security signals (repeated AccessDeniedException, unusual send volumes,
spend limit approaching threshold) for proactive alerting. Registration contact fields (email, phone, URLs) are submitted to
partner review; use real but non-sensitive business contacts.© 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
SKILL.md and 5 other files (references) in skills/specialized-skills/messaging-and-streaming-skills/aws-sms-voice of aws/agent-toolkit-for-aws.
Open the folder on GitHubat commit df2ab44
AWS Sms Voice 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 Sms Voice this skillaws/agent-toolkit-for-aws | 2.8k | — | ~2.5k | Automated safety check: Pass | Apache-2.0 | |
| SageMaker IAM Role Preflighthuggingface/skills | 11k | 1 repos | ~1.8k | Automated safety check: Pass | Apache-2.0 | |
| SageMaker Serving Image Selectionhuggingface/skills | 11k | 1 repos | ~4.6k | Automated safety check: Pass | Apache-2.0 | |
| Cloud Cost Optimizationwshobson/agents | 40k | 14 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Python Environment Setup for SageMakerhuggingface/skills | 11k | 2 repos | ~1.7k | Automated safety check: Pass | Apache-2.0 | |
| Agent Squad Python Guide2FastLabs/agent-squad | 7.8k | — | ~4.7k | Automated safety check: Pass | Apache-2.0 |
huggingface/skills
Finds or validates a usable SageMaker execution role before deploying or training, so scripts do not try to create IAM roles they lack permission to create.
huggingface/skills
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wshobson/agents
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huggingface/skills
Sets up an isolated Python environment with a supported interpreter and current boto3 before any SageMaker deployment, training or AWS automation code runs.
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paperclipai/paperclip
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aws/agent-toolkit-for-aws
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Works with
Onboards RCS Business Messaging and Notify OTP via the pinpoint-sms-voice-v2 AWS CLI. AWS Sms Voice is an agent skill from aws/agent-toolkit-for-aws, published by the product's own GitHub organization. Onboards RCS Business Messaging and Notify OTP via the pinpoint-sms-voice-v2 AWS CLI.
Run `npx skills add aws/agent-toolkit-for-aws --skill aws-sms-voice -a claude-code`. Or copy the skill folder (skills/specialized-skills/messaging-and-streaming-skills/aws-sms-voice in aws/agent-toolkit-for-aws) into .claude/skills/aws-sms-voice in your project. Claude Code loads it when a task matches its description.
Run `npx skills add aws/agent-toolkit-for-aws --skill aws-sms-voice -a codex`. Or copy the skill folder (skills/specialized-skills/messaging-and-streaming-skills/aws-sms-voice in aws/agent-toolkit-for-aws) into .agents/skills/aws-sms-voice 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 aws/agent-toolkit-for-aws --skill aws-sms-voice -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-sms-voice, .gemini/skills/aws-sms-voice, .github/skills/aws-sms-voice and .opencode/skills/aws-sms-voice in your project.
Going by SKILL.md and its folder, AWS Sms Voice needs the command-line tools its instructions call (aws).
SKILL.md names 1 domain. As links in the text: docs.aws.amazon.com. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
AWS Sms Voice 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.
About 2.5k tokens (SKILL.md is roughly 9.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 25k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with AWS Sms Voice: SageMaker IAM Role Preflight (huggingface/skills, 11k stars), SageMaker Serving Image Selection (huggingface/skills, 11k stars), Cloud Cost Optimization (wshobson/agents, 40k stars) and Python Environment Setup for SageMaker (huggingface/skills, 11k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
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.