New Resource
mondoohq/mql
Add or change a resource in an existing mql provider — schema, codegen, implementation, tests, and verification against a real target.
Official agent skill
Scaffold Workshop
by aws-samples in aws-samples/sample-amazon-bedrock-agentcore-onboarding
Scaffold and draft a new AgentCore workshop. An agent skill from aws-samples/sample-amazon-bedrock-agentcore-onboarding.
Install Scaffold Workshop
$ npx skills add aws-samples/sample-amazon-bedrock-agentcore-onboarding --skill scaffold-workshop -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aws-samples/sample-amazon-bedrock-agentcore-onboarding scaffold-workshop --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-samples/sample-amazon-bedrock-agentcore-onboarding.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/scaffold-workshop .claude/skills/scaffold-workshop && 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 "scaffold-workshop" agent skill from https://github.com/aws-samples/sample-amazon-bedrock-agentcore-onboarding/tree/main/.claude/skills/scaffold-workshop into .claude/skills/scaffold-workshop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scaffold-workshop", 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-samples/sample-amazon-bedrock-agentcore-onboarding/tree/main/.claude/skills/scaffold-workshopType 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-samples/sample-amazon-bedrock-agentcore-onboarding --skill scaffold-workshop -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aws-samples/sample-amazon-bedrock-agentcore-onboarding scaffold-workshop --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aws-samples/sample-amazon-bedrock-agentcore-onboarding.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/scaffold-workshop .agents/skills/scaffold-workshop && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "scaffold-workshop" agent skill from https://github.com/aws-samples/sample-amazon-bedrock-agentcore-onboarding/tree/main/.claude/skills/scaffold-workshop into .agents/skills/scaffold-workshop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scaffold-workshop", 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-samples/sample-amazon-bedrock-agentcore-onboarding --skill scaffold-workshop -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aws-samples/sample-amazon-bedrock-agentcore-onboarding scaffold-workshop --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aws-samples/sample-amazon-bedrock-agentcore-onboarding.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/scaffold-workshop .cursor/skills/scaffold-workshop && 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 "scaffold-workshop" agent skill from https://github.com/aws-samples/sample-amazon-bedrock-agentcore-onboarding/tree/main/.claude/skills/scaffold-workshop into .cursor/skills/scaffold-workshop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scaffold-workshop", 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-samples/sample-amazon-bedrock-agentcore-onboarding.git --path .claude/skills/scaffold-workshop--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-samples/sample-amazon-bedrock-agentcore-onboarding --skill scaffold-workshop -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aws-samples/sample-amazon-bedrock-agentcore-onboarding scaffold-workshop --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aws-samples/sample-amazon-bedrock-agentcore-onboarding.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/scaffold-workshop .gemini/skills/scaffold-workshop && 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 "scaffold-workshop" agent skill from https://github.com/aws-samples/sample-amazon-bedrock-agentcore-onboarding/tree/main/.claude/skills/scaffold-workshop into .gemini/skills/scaffold-workshop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scaffold-workshop", 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-samples/sample-amazon-bedrock-agentcore-onboarding scaffold-workshopInstalls 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-samples/sample-amazon-bedrock-agentcore-onboarding --skill scaffold-workshop -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/aws-samples/sample-amazon-bedrock-agentcore-onboarding.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/scaffold-workshop .github/skills/scaffold-workshop && 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 "scaffold-workshop" agent skill from https://github.com/aws-samples/sample-amazon-bedrock-agentcore-onboarding/tree/main/.claude/skills/scaffold-workshop into .github/skills/scaffold-workshop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scaffold-workshop", 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-samples/sample-amazon-bedrock-agentcore-onboarding --skill scaffold-workshop -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-samples/sample-amazon-bedrock-agentcore-onboarding scaffold-workshop --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aws-samples/sample-amazon-bedrock-agentcore-onboarding.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/scaffold-workshop .opencode/skills/scaffold-workshop && 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 "scaffold-workshop" agent skill from https://github.com/aws-samples/sample-amazon-bedrock-agentcore-onboarding/tree/main/.claude/skills/scaffold-workshop into .opencode/skills/scaffold-workshop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scaffold-workshop", 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
scaffold-workshop- GitHub stars
- 133
- Token cost
- ~1.5k tokens
- SKILL.md length
- 692 words
- Files
- 1
- Skills in repo
- 4
- Repo updated
- First seen
- Licence
- MIT-0
At a glance
Scaffold and draft a new AgentCore workshop. An agent skill from aws-samples/sample-amazon-bedrock-agentcore-onboarding.
- Works in 7 steps: Resolve parameters → Run the scaffold script → Research the feature → …
- Someone wants to create
- SKILL.md covers Usage, Arguments, Steps and Reference: Existing Workshop…, plus 1 more section
- Calls uv
What it does
Scaffold Workshop is an agent skill from aws-samples/sample-amazon-bedrock-agentcore-onboarding, published by the product's own GitHub organization. Scaffold and draft a new AgentCore workshop. Use when someone wants to create, scaffold, or start a new workshop directory with boilerplate and initial content.
Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Development, covering Project scaffolding. It works with Amazon Web Services. The licence is MIT-0.
When your agent uses it
- Someone wants to create
- Start a new workshop directory with boilerplate and initial content
Example prompts
- “/scaffold-workshop”
Requirements
- Python 3
- Pre-approved tools (allowed-tools): Bash, Read, Write, Edit, Glob, Grep, Task, TaskCreate, TaskUpdate, TaskList, AskUserQuestion, WebSearch, WebFetch
Workflow steps
7 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 376ee7c. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
BashReadWriteEditGlobGrepTaskTaskCreateTaskUpdateTaskList
…and 3 more on the same allowed-tools line.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
uv
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use uv, which can reach the network depending on how they are called.
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
Scaffold Workshop loads about 1.5k tokens when it runs. Until then it costs about 45 tokens; SKILL.md has 692 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: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
allowed-tools: Bash, Read, Write, Edit, Glob, Grep, Task, TaskCreate, TaskUpdate, TaskList, AskUserQuestion, WebSea
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-samples/sample-amazon-bedrock-agentcore-onboarding at commit 376ee7c, republished under its MIT-0 licence (© aws-samples). 692 words, ~1,500 tokens.
Download SKILL.mdSave it as
.claude/skills/scaffold-workshop/SKILL.md (or your agent's skills folder).- name
- scaffold-workshop
- description
- Scaffold and draft a new AgentCore workshop. Use when someone wants to create, scaffold, or start a new workshop directory with boilerplate and initial content.
- allowed-tools
- Bash, Read, Write, Edit, Glob, Grep, Task, TaskCreate, TaskUpdate, TaskList, AskUserQuestion, WebSearch, WebFetch
Scaffold Workshop
Generate boilerplate files for a new AgentCore workshop, then draft workshop-specific content by researching AWS documentation and following established patterns.
Usage
/scaffold-workshop 05_evaluation— Scaffold and draft content for step 05/scaffold-workshop 08_policy --title "AgentCore Policy"— Scaffold with a custom title/scaffold-workshop 09_browser_use --title "AgentCore Browser Use" --description "Web automation with persistent browser profiles"— Full custom scaffold
Arguments
$ARGUMENTS contains the workshop directory name and optional flags.
Parse $ARGUMENTS for:
- Positional: directory name (required, e.g.
05_evaluation) - --title: Workshop title (optional, will be inferred from directory name if not given)
- --description: One-line description (optional, will be drafted if not given)
Steps
1. Resolve parameters
Parse $ARGUMENTS to extract dir_name, --title, and --description.
If --title is missing, infer it from the directory name:
05_evaluation→"AgentCore Evaluation"08_policy→"AgentCore Policy"09_browser_use→"AgentCore Browser Use"
If --description is missing, ask the user with AskUserQuestion what the workshop should cover, or let them provide a free-text description.
2. Run the scaffold script
cd <project_root>
uv run python .claude/tools/scaffold_workshop.py <dir_name> --title "<title>" --description "<description>"If files already exist, the script will SKIP them (safe to re-run). Inform the user which files were created vs skipped.
3. Research the feature
Search AWS documentation for the AgentCore feature covered by this workshop:
- Use
WebSearchto find relevant AWS docs, blog posts, and SDK references - Use
WebFetchto read key documentation pages - Look at existing workshop implementations in the repo for patterns (
Glob+Read)
Gather:
- The main boto3 / SDK client and API calls involved
- Key concepts and terminology
- Typical setup → use → cleanup lifecycle
- Prerequisites and IAM permissions needed
4. Draft README content
Edit the generated README.md to replace TODO markers with drafted content.
CRITICAL: Preserve all heading levels (#, ##, ###) and the overall section order exactly as generated by the scaffold template. Only replace the TODO placeholder text and code block contents — never remove, rename, or reorder headings.
Replace TODO content in each section:
- Process Overview: Replace the TODO mermaid diagram with one showing actual service interactions
- Prerequisites: Replace TODO items with real AWS permissions and prior workshop dependencies
- File Structure: Update the tree with likely files the workshop will contain
- Step 1/2 headings: Replace
TODO: First Actionetc. with real action names, fill in commands and explanations - Key Implementation Pattern subsections: Replace
### TODO: Setup Patternetc. with named patterns (e.g.,### Policy Client Setup), add real code snippets based on SDK docs - Usage Example: Replace
passwith a complete working code example - Benefits section: Replace TODO bullets with real benefits of the feature
- References: Replace placeholder links with actual AWS documentation URLs
Mark any content that needs verification with <!-- DRAFT: verify this --> HTML comments.
Show full SKILL.md (273 more words)Show less
5. Draft README_ja.md content
Edit the generated README_ja.md to mirror the English README:
- Preserve all heading levels (
#,##,###) and section order exactly - Translate only the prose and TODO text to Japanese — keep heading structure intact
- Keep code blocks, mermaid diagrams, and technical terms in English
- Follow the same translation patterns as existing
README_ja.mdfiles (e.g., 01, 03, 06)
6. Draft clean_resources.py
Edit the generated clean_resources.py with realistic cleanup logic:
- Identify what AWS resources the workshop will create
- Add proper boto3 client setup and API calls for deletion
- Follow the pattern from existing cleanup scripts (06_identity, 07_gateway)
- Keep TODO markers for resource IDs that depend on runtime config
7. Summary
Print a summary of what was created and drafted:
- List all files created/modified
- Note which sections still need manual review (marked with
<!-- DRAFT -->) - Suggest next steps (implement the main test script, verify API calls, etc.)
Reference: Existing Workshop Patterns
Directory → Feature mapping
| Directory | Feature | Category |
|---|---|---|
| 01-05 | Foundation capabilities | Foundation |
| 06-09 | Extension capabilities | Extension |
Section heading patterns (English / Japanese)
| English | Japanese |
|---|---|
| Process Overview | プロセス概要 |
| Prerequisites | 前提条件 |
| How to use | 使用方法 |
| File Structure | ファイル構成 |
| Step N: | ステップN: |
| Key Implementation Pattern | 主要な実装パターン |
| Usage Example | 使用例 |
| References | 参考資料 |
| Next Steps | 次のステップ |
clean_resources.py pattern
- Read config from JSON file (if applicable)
- Create boto3 client:
boto3.client("bedrock-agentcore-control", region_name=region) - Delete resources in reverse dependency order
- Print status for each deletion
- Remove config files at the end
- Guard with
if __name__ == "__main__":
Important Notes
- Never overwrite files the user has already edited — check with
AskUserQuestionfirst - All drafted content should use real AWS API names and SDK patterns
- Follow CLAUDE.md: no dummy data, meaningful names, proper error handling
- The scaffold script lives at
.claude/tools/scaffold_workshop.py
© aws-samples, MIT-0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in .claude/skills/scaffold-workshop of aws-samples/sample-amazon-bedrock-agentcore-onboarding.
Open the folder on GitHubat commit 376ee7c
Compare with similar skills
Scaffold Workshop 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 |
|---|---|---|---|---|---|---|
| Scaffold Workshop this skillaws-samples/sample-amazon-bedrock-agentcore-onboarding | 133 | — | ~1.5k | Automated safety check: Notes | MIT-0 | |
| New Resourcemondoohq/mql | 411 | — | ~5.6k | Automated safety check: Pass | Custom licence | |
| Codegens3s-project/s3s | 311 | — | ~726 | Automated safety check: Pass | Apache-2.0 | |
| New Providergo-to-k/cdkd | 143 | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | |
| Nx Plugin For AWSawslabs/nx-plugin-for-aws | 151 | — | ~3.6k | Automated safety check: Pass | Apache-2.0 | |
| Agents Get Startedaws/agent-toolkit-for-aws | 2.8k | — | ~4.3k | Automated safety check: Notes | Apache-2.0 |
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Related
Works with
Categories
Questions about Scaffold Workshop
What does Scaffold Workshop do?
Scaffold and draft a new AgentCore workshop. An agent skill from aws-samples/sample-amazon-bedrock-agentcore-onboarding. Scaffold Workshop is an agent skill from aws-samples/sample-amazon-bedrock-agentcore-onboarding, published by the product's own GitHub organization. Scaffold and draft a new AgentCore workshop.
When should I use Scaffold Workshop?
Scaffold Workshop fits situations like: someone wants to create; start a new workshop directory with boilerplate and initial content.
How do I install Scaffold Workshop in Claude Code?
Run `npx skills add aws-samples/sample-amazon-bedrock-agentcore-onboarding --skill scaffold-workshop -a claude-code`. Or copy the skill folder (.claude/skills/scaffold-workshop in aws-samples/sample-amazon-bedrock-agentcore-onboarding) into .claude/skills/scaffold-workshop in your project. Claude Code loads it when a task matches its description.
How do I install Scaffold Workshop in Codex?
Run `npx skills add aws-samples/sample-amazon-bedrock-agentcore-onboarding --skill scaffold-workshop -a codex`. Or copy the skill folder (.claude/skills/scaffold-workshop in aws-samples/sample-amazon-bedrock-agentcore-onboarding) into .agents/skills/scaffold-workshop in your project. Codex loads it when a task matches its description.
Can I use Scaffold Workshop 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-samples/sample-amazon-bedrock-agentcore-onboarding --skill scaffold-workshop -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/scaffold-workshop, .gemini/skills/scaffold-workshop, .github/skills/scaffold-workshop and .opencode/skills/scaffold-workshop in your project.
What does Scaffold Workshop need to run?
Going by SKILL.md and its folder, Scaffold Workshop needs the command-line tools its instructions call (uv). Our summary lists: Python 3. Its frontmatter pre-approves these tools: Bash, Read, Write, Edit, Glob, Grep, Task, TaskCreate, TaskUpdate, TaskList, AskUserQuestion, WebSearch, WebFetch.
Does Scaffold Workshop access the network?
SKILL.md contains no URLs. Its commands use uv, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Scaffold Workshop safe to install?
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
What licence does Scaffold Workshop use?
Scaffold Workshop is published under the MIT-0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Scaffold Workshop use?
About 1.5k tokens (SKILL.md is roughly 6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Scaffold Workshop?
Skills that share tags, products or a category with Scaffold Workshop: New Resource (mondoohq/mql, 411 stars), Codegen (s3s-project/s3s, 311 stars), New Provider (go-to-k/cdkd, 143 stars) and Nx Plugin For AWS (awslabs/nx-plugin-for-aws, 151 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Scaffold Workshop?
aws-samples (a GitHub organization, an official publisher) maintains it in aws-samples/sample-amazon-bedrock-agentcore-onboarding, which has 133 GitHub stars. The repository holds 4 skills in this directory. The repository was last updated on October 1, 2026.
Source: aws-samples/sample-amazon-bedrock-agentcore-onboarding on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.