aws-agentic-ai agent skill by zxkane
Guides deploying and managing AI agents on AWS Bedrock AgentCore, covering Gateway, Runtime, Memory, Identity, Observability, Evaluations, MCP tool integration, and governance workflows.
At a glance
| Publisher | zxkane |
|---|---|
| Repository | zxkane/aws-skills (6 listed skills) |
| Category | AI Agents and LLM Engineering |
| License | MIT |
| Last commit | June 15, 2026 (repository) |
| SKILL.md | 120 lines, 922 words |
| Bundled files | 32 files, including references, scripts |
| Quality score | 83/100 · B Passes all seven graded checks |
| Security scan | Not scanned |
| README badge | Get the badges for this listing |
Before you install
Read from the skill's files at the directory's October 19, 2026 snapshot: what ships with it, what its code reads, and the terms it is published under.
- Bundled scripts: 7 script files (5 Python, 2 Shell). Your agent may run them, so read them first.
- Network: its scripts use an HTTP client or a cloud SDK.
- MCP: SKILL.md calls tools from the
acdocsandaws-mcpMCP servers. - Tool permissions requested:
mcp__aws-mcp__*, mcp__awsdocs__*, mcp__acdocs__search_agentcore_docs, mcp__acdocs__fetch_agentcore_doc, Bash(aws bedrock-agentcore *), Bash(aws…(theallowed-toolsfield of SKILL.md). - License: MIT, an open-source or open-content license.
Install aws-agentic-ai
The skills CLI works with Claude Code, Codex, Cursor and other agents; the other routes copy the folder by hand.
npx skills add https://github.com/zxkane/aws-skills/tree/main/plugins/aws-agentic-ai/skills/aws-agentic-aitmp="$(mktemp -d)"
git clone --depth 1 https://github.com/zxkane/aws-skills.git "$tmp/repo"
mkdir -p .claude/skills
cp -R "$tmp/repo/"plugins/aws-agentic-ai/skills/aws-agentic-ai .claude/skills/
rm -rf "$tmp"python3 ~/.codex/skills/.system/skill-installer/scripts/install-skill-from-github.py \
--repo zxkane/aws-skills \
--path plugins/aws-agentic-ai/skills/aws-agentic-aizxkane/aws-skills is third-party code. Read SKILL.md and any bundled scripts before you install it.
How the author describes it
AWS Bedrock AgentCore comprehensive expert for deploying and managing AI agents at scale. Use when working with any AgentCore service including Gateway, Runtime, Memory, Identity, Code Interpreter, Browser, Observability, Agent Registry, or Evaluations. Covers agent deployment, MCP tool integration, credential management, agent discovery, governance workflows, and automated quality assessment. Essential when user mentions AgentCore, agent runtime, agent registry, agent evaluation, MCP gateway, deploy agent, register MCP server, discover agents, evaluate agent quality, agent credentials, or wants to build, deploy, catalog, or monitor AI agents on AWS.
From the description field of SKILL.md. Agents read this line to decide when to load the skill.
Sections in SKILL.md
- AWS Documentation Requirement
- Available Services
- Common Workflows
- Deploying a Gateway Target
- Managing Credentials
- Discovering Agents and Tools (Agent Registry)
- Evaluating Agent Quality
- Monitoring Agents
- Deep-Dive References
- Advanced Runtime & OAuth References
- Runnable Script Templates
- Cross-Service Resources
- Additional Resources
Files in the skill folder
SKILL.mdcross-service/agent-persistence-patterns.mdcross-service/credential-management.mdcross-service/registry-integration.mdcross-service/security-resource-policies.mdreferences/agentcore-oauth-integration.mdreferences/agentcore-runtime-core.mdreferences/agentcore-runtime-deploy.mdreferences/agentcore-runtime-protocols.mdscripts/Dockerfile.runtime-templatescripts/a2a-server-template.pyscripts/agui-server-template.pyscripts/gateway-custom-resource-lambda.pyscripts/mcp-server-template.pyscripts/runtime-fastapi-template.pyservices/browser/README.mdservices/code-interpreter/README.mdservices/evaluations/README.mdservices/gateway/README.mdservices/gateway/deploy-template.shservices/gateway/deployment-strategies.mdservices/gateway/troubleshooting-guide.mdservices/gateway/validate-deployment.shservices/identity/README.md
Showing 24 of 32 files. Browse the folder on GitHub.
Suede Skill Check: 83/100 · B
Report snapshot · · graded-v2
The rubric totals 100 points; published scores are capped at 99. Security scan: not scanned.
Source revision: 68530c6f296c. Report version 45913f45d5c6. Badge URLs follow the latest listing; save the report to keep this version.
Download report · Request a fresh review
What to review next
- Recent maintenance: 3 of 9 points. 9 for a repository commit within 30 days of the snapshot; 6 within 90; 3 within 180; 1 within 365.
- Boundary clause: 0 of 4 points. 4 when the description says when not to use the skill (“Not for …”, “Do not use …”, “Use … instead”).
- Example request: 0 of 3 points. 3 when the description quotes an example request (3–60 characters in quotation marks).
Add declarations and bundled files when they describe the skill’s actual needs. Update the source, then request a fresh review with the changed commit or PR.
aws-agentic-ai passes the required frontmatter check and all seven graded checks, which cover the SKILL.md format, a declared license and a commit in the last year. Those checks earn 56 of the score’s points; the rest come from description quality, instruction depth, bundled files, maintenance and curated-list citations. How the score works.
See the checks and points
| Check | Result |
|---|---|
| Frontmatter parses and declares a name and a description | Pass |
| Name uses lowercase letters, digits and hyphens, 64 characters or fewer | Pass |
| Name matches the skill's folder name | Pass |
| Description is between 50 and 1,024 characters | Pass |
| Description says when an agent should use the skill | Pass |
| SKILL.md body is 500 lines or fewer | Pass |
| A license is declared in the frontmatter or the repository | Pass |
| Repository has a commit in the last 12 months | Pass |
| Score component | Points |
|---|---|
| Structural checks | 56 of 56 |
| Description length | 3 of 5 |
| Boundary clause | 0 of 4 |
| Example request | 0 of 3 |
| Instruction depth | 7 of 7 |
| Reference files | 3 of 3 |
| Bundled scripts | 2 of 2 |
| Recent maintenance | 3 of 9 |
| Curated-list citations | 7 of 7 |
| Tool permissions declared | 2 of 2 |
| Compatibility declared | 0 of 2 |
Two badges for aws-agentic-ai
Choose the numeric badge, the letter badge, or both. Each links to this skill’s Suede listing; either valid linked badge can qualify for the feature offer.
[](https://skills.suedeai.ai/directory/zxkane/aws-skills/aws-agentic-ai/)
[](https://skills.suedeai.ai/directory/zxkane/aws-skills/aws-agentic-ai/)<a href="https://skills.suedeai.ai/directory/zxkane/aws-skills/aws-agentic-ai/"><img src="https://skills.suedeai.ai/directory/zxkane/aws-skills/aws-agentic-ai/score.svg" alt="Suede Skill Check: 83/100" width="160" height="175"></a>
<a href="https://skills.suedeai.ai/directory/zxkane/aws-skills/aws-agentic-ai/"><img src="https://skills.suedeai.ai/directory/zxkane/aws-skills/aws-agentic-ai/badge.svg" alt="Suede Skill Check: Grade B" width="160" height="175"></a>Suede Certified on the shield refers to this published structural quality check. Security scan: not scanned. Read the methodology.
Limited-time feature offer: display either the numeric or letter badge in your repository or skill README (both also qualify), then request badge verification. Eligible skills scoring 80–99 can receive a featured placement after Suede verifies at least one valid badge linked to the skill’s listing. Suede has not announced an end date.
Where this skill is cited
zxkane/aws-skills appears in 4 curated lists: BehiSecc/awesome-claude-skills, ComposioHQ/awesome-claude-skills, VoltAgent/awesome-agent-skills, heilcheng/awesome-agent-skills.