MCP Server Builder
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
Official agent skill
Run Workshop
by aws-samples in aws-samples/sample-amazon-bedrock-agentcore-onboarding
Run the AgentCore workshop steps sequentially to test the full attendee experience.
OfficialMIT-0Auto-check: notes
Install Run Workshop
$ npx skills add aws-samples/sample-amazon-bedrock-agentcore-onboarding --skill run-workshop -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aws-samples/sample-amazon-bedrock-agentcore-onboarding run-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/run-workshop .claude/skills/run-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 "run-workshop" agent skill from https://github.com/aws-samples/sample-amazon-bedrock-agentcore-onboarding/tree/main/.claude/skills/run-workshop into .claude/skills/run-workshop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "run-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/run-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 run-workshop -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aws-samples/sample-amazon-bedrock-agentcore-onboarding run-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/run-workshop .agents/skills/run-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 "run-workshop" agent skill from https://github.com/aws-samples/sample-amazon-bedrock-agentcore-onboarding/tree/main/.claude/skills/run-workshop into .agents/skills/run-workshop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "run-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 run-workshop -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aws-samples/sample-amazon-bedrock-agentcore-onboarding run-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/run-workshop .cursor/skills/run-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 "run-workshop" agent skill from https://github.com/aws-samples/sample-amazon-bedrock-agentcore-onboarding/tree/main/.claude/skills/run-workshop into .cursor/skills/run-workshop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "run-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/run-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 run-workshop -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aws-samples/sample-amazon-bedrock-agentcore-onboarding run-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/run-workshop .gemini/skills/run-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 "run-workshop" agent skill from https://github.com/aws-samples/sample-amazon-bedrock-agentcore-onboarding/tree/main/.claude/skills/run-workshop into .gemini/skills/run-workshop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "run-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 run-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 run-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/run-workshop .github/skills/run-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 "run-workshop" agent skill from https://github.com/aws-samples/sample-amazon-bedrock-agentcore-onboarding/tree/main/.claude/skills/run-workshop into .github/skills/run-workshop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "run-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 run-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 run-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/run-workshop .opencode/skills/run-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 "run-workshop" agent skill from https://github.com/aws-samples/sample-amazon-bedrock-agentcore-onboarding/tree/main/.claude/skills/run-workshop into .opencode/skills/run-workshop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "run-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
run-workshop- GitHub stars
- 133
- Token cost
- ~1.2k tokens
- SKILL.md length
- 435 words
- Files
- 1
- Skills in repo
- 4
- Repo updated
- First seen
- Licence
- MIT-0
At a glance
Run the AgentCore workshop steps sequentially to test the full attendee experience.
- Works in 3 steps: Runtime → Identity → Gateway
- Someone wants to execute
- SKILL.md covers Usage, Arguments, Available Steps and Multi-Step Details, plus 3 more sections
- Calls uv and bash
What it does
Run Workshop is an agent skill from aws-samples/sample-amazon-bedrock-agentcore-onboarding, published by the product's own GitHub organization. Run the AgentCore workshop steps sequentially to test the full attendee experience. Use when someone wants to execute, test, or run through the workshop.
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It works with Python. The licence is MIT-0.
When your agent uses it
- Someone wants to execute
- Run through the workshop
Example prompts
- “/run-workshop”
Requirements
- Python 3
- Pre-approved tools (allowed-tools): Bash, Read, Glob, Grep, Task, TaskCreate, TaskUpdate, TaskList, AskUserQuestion
Workflow steps
3 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:
BashReadGlobGrepTaskTaskCreateTaskUpdateTaskListAskUserQuestion
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
uvbash
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
Run Workshop loads about 1.2k tokens when it runs. Until then it costs about 42 tokens; SKILL.md has 435 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, Glob, Grep, Task, TaskCreate, TaskUpdate, TaskList, AskUserQuestion
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). 435 words, ~1,152 tokens.
Download SKILL.mdSave it as
.claude/skills/run-workshop/SKILL.md (or your agent's skills folder).- name
- run-workshop
- description
- Run the AgentCore workshop steps sequentially to test the full attendee experience. Use when someone wants to execute, test, or run through the workshop.
- allowed-tools
- Bash, Read, Glob, Grep, Task, TaskCreate, TaskUpdate, TaskList, AskUserQuestion
Run Workshop
Execute AgentCore onboarding workshop steps sequentially, simulating the full attendee experience.
Usage
/run-workshop— Run all available steps (01 through 07)/run-workshop 01— Run only step 01/run-workshop 01 03— Run steps 01 and 03/run-workshop 01-05— Run steps 01 through 05
Arguments
$ARGUMENTS contains step numbers or ranges to run (e.g., 01 03 or 01-05).
If empty, run ALL available steps in order.
Available Steps
| Step | Directory | Action | Command |
|---|---|---|---|
| 01 | 01_code_interpreter/ | Test cost estimator agent locally | cd <root>/01_code_interpreter && uv run python test_cost_estimator_agent.py |
| 02 | 02_runtime/ | Prepare and deploy agent to runtime | See multi-step below |
| 03 | 03_memory/ | Test agent with memory integration | cd <root>/03_memory && uv run python test_memory.py |
| 04 | 04_observability/ | Test observability with CloudWatch | cd <root>/04_observability && uv run python test_observability.py |
| 05 | 05_evaluation/ | (Coming soon - skip) | N/A |
| 06 | 06_identity/ | Setup and test identity/OAuth2 | See multi-step below |
| 07 | 07_gateway/ | Deploy Lambda, setup and test gateway | See multi-step below |
| 08 | 08_policy/ | (Coming soon - skip) | N/A |
| 09 | 09_browser_use/ | (Coming soon - skip) | N/A |
Multi-Step Details
Step 02 - Runtime
# 1. Prepare agent
cd <root>/02_runtime && uv run python prepare_agent.py --source-dir ../01_code_interpreter/cost_estimator_agent
# 2. Configure runtime (uses agentcore CLI)
uv run agentcore configure --entrypoint deployment/invoke.py --name cost_estimator_agent --execution-role <role_arn> --requirements-file deployment/requirements.txt
# 3. Launch runtime
uv run agentcore launch
# 4. Test invocation
uv run agentcore invoke '{"prompt": "I would like to connect t3.micro from my PC. How much does it cost?"}'Note: prepare_agent.py outputs the exact configure command. Parse its output to get the correct role ARN and command.
Step 06 - Identity
# 1. Setup OAuth2 credential provider
cd <root>/06_identity && uv run python setup_inbound_authorizer.py
# 2. Test identity-protected agent
uv run python test_identity_agent.pyPrerequisite: Step 02 must be completed (needs .bedrock_agentcore.yaml).
Step 07 - Gateway
# 1. Deploy Lambda function (requires SES sender email)
cd <root>/07_gateway && bash deploy.sh <ses-sender-email>
# 2. Setup gateway
uv run python setup_outbound_gateway.py
# 3. Test gateway
uv run python test_gateway.pyPrerequisite: Step 06 must be completed (needs inbound_authorizer.json).
Dependencies Between Steps
01 (standalone)
02 (depends on 01's agent code)
03 (depends on 01's agent code)
04 (depends on 02's deployed runtime)
06 (depends on 02's deployed runtime)
07 (depends on 06's identity setup)Show full SKILL.md (229 more words)Show less
Implementation
- Parse
$ARGUMENTS:- If empty, use all steps:
01 02 03 04 06 07(skip 05, 08, 09 as coming soon) - If ranges like
01-05, expand to individual steps - Sort in ascending order
- If empty, use all steps:
- Validate dependencies:
- If step 04 is requested, ensure 02 is included or already completed
- If step 06 is requested, ensure 02 is included or already completed
- If step 07 is requested, ensure 06 is included or already completed
- Create a task list tracking each step
- For each step (in order): a. Mark task as in_progress b. Execute the step's commands from the correct working directory c. For multi-step steps (02, 06, 07), execute each sub-step sequentially d. For step 07, ask the user for their SES sender email before deploying e. Capture and display output f. If a step fails, ask the user whether to continue or stop g. Mark task as completed
- Print a final summary with pass/fail status for each step
Important Notes
- All Python commands use
uv runprefix - Scripts use relative paths, so
cdto the step directory before running - Step 02 involves interactive
agentcoreCLI commands that may take several minutes - Step 06's OIDC endpoint can take 5+ minutes to become available
- Steps 05, 08, 09 are placeholders (coming soon) - skip with a note
- Timeouts: allow up to 10 minutes for runtime deployment and OIDC waits
© 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/run-workshop of aws-samples/sample-amazon-bedrock-agentcore-onboarding.
Open the folder on GitHubat commit 376ee7c
Compare with similar skills
Run 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 |
|---|---|---|---|---|---|---|
| Run Workshop this skillaws-samples/sample-amazon-bedrock-agentcore-onboarding | 133 | — | ~1.2k | Automated safety check: Notes | MIT-0 | |
| MCP Server Builderanthropics/skills | 180k | 62 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| PDF Processinganthropics/skills | 180k | 48 repos | ~2k | Automated safety check: Pass | Proprietary | |
| NotebookLM Research AssistantPleasePrompto/notebooklm-skill | 7.8k | 13 repos | ~2.4k | Automated safety check: Notes | MIT | |
| Manim Video Productionbrowser-use/video-use | 28k | 6 repos | ~3k | Automated safety check: Pass | MIT | |
| Code Review ChecklistshareAI-lab/learn-claude-code | 78k | 5 repos | ~1.1k | Automated safety check: Pass | MIT |
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Questions about Run Workshop
What does Run Workshop do?
Run the AgentCore workshop steps sequentially to test the full attendee experience. Run Workshop is an agent skill from aws-samples/sample-amazon-bedrock-agentcore-onboarding, published by the product's own GitHub organization. Run the AgentCore workshop steps sequentially to test the full attendee experience.
When should I use Run Workshop?
Run Workshop fits situations like: someone wants to execute; run through the workshop.
How do I install Run Workshop in Claude Code?
Run `npx skills add aws-samples/sample-amazon-bedrock-agentcore-onboarding --skill run-workshop -a claude-code`. Or copy the skill folder (.claude/skills/run-workshop in aws-samples/sample-amazon-bedrock-agentcore-onboarding) into .claude/skills/run-workshop in your project. Claude Code loads it when a task matches its description.
How do I install Run Workshop in Codex?
Run `npx skills add aws-samples/sample-amazon-bedrock-agentcore-onboarding --skill run-workshop -a codex`. Or copy the skill folder (.claude/skills/run-workshop in aws-samples/sample-amazon-bedrock-agentcore-onboarding) into .agents/skills/run-workshop in your project. Codex loads it when a task matches its description.
Can I use Run 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 run-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/run-workshop, .gemini/skills/run-workshop, .github/skills/run-workshop and .opencode/skills/run-workshop in your project.
What does Run Workshop need to run?
Going by SKILL.md and its folder, Run Workshop needs the command-line tools its instructions call (uv and bash). Our summary lists: Python 3. Its frontmatter pre-approves these tools: Bash, Read, Glob, Grep, Task, TaskCreate, TaskUpdate, TaskList, AskUserQuestion.
Does Run 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 Run 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 Run Workshop use?
Run 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 Run Workshop use?
About 1.2k tokens (SKILL.md is roughly 4.6k 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 Run Workshop?
Skills that share tags, products or a category with Run Workshop: MCP Server Builder (anthropics/skills, 180k stars), PDF Processing (anthropics/skills, 180k stars), NotebookLM Research Assistant (PleasePrompto/notebooklm-skill, 7.8k stars) and Manim Video Production (browser-use/video-use, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Run 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.