Aws Agentic AI
Bundled AgentCore reference docs: Gateway, Runtime, Memory, Registry, Evaluations CLI patterns
Test report
- Verdict
- Tested · Works
- Score
- Tested
- Jul 21, 2026
- Environment
- Claude Code 2.x (agent harness)
- Upstream re-checked
- Aug 10, 2026 · 6474a60
Cloned the repo (GitHub API was rate-limited), found SKILL.md at plugins/aws-agentic-ai/skills/aws-agentic-ai/, confirmed the YAML frontmatter parses (name + 658-char description) and that every relative link in the body resolves on disk; three spot-checked files (services/gateway/README.md, scripts/mcp-server-template.py, cross-service/credential-management.md) returned HTTP 200 raw. Grep for curl|sh, base64 -d, eval $(...), AKIA keys and absolute /Users or /home paths found nothing. Install verified in an isolated `export HOME=$(mktemp -d)`: SKILL.md landed at ~/.claude/skills/aws-agentic-ai/SKILL.md, 452K total. Task: "set up automated quality evaluation for my agent on AgentCore Runtime, give me the CLI steps" — baseline (scratchpad/baseline.md) hedged with "I am not certain AgentCore has a dedicated evaluation control-plane API" and fell back to `aws bedrock create-evaluation-job`, the wrong service; the skill-followed artifact (scratchpad/agentic_skill.md), written after reading services/evaluations/README.md as the body instructs, produced `aws bedrock-agentcore-control create-online-evaluation-config` with the exact --rule/--data-source-config/--evaluators JSON shapes, the two built-in evaluator ids (Builtin.Helpfulness, Builtin.GoalSuccessRate), the custom-evaluator locking rule, the full IAM action list including iam:PassRole scoped to AgentCoreEvaluationRole*, and limits (10 evaluators/config, 100 active configs, 0.01-100% sampling). Not executed: the body's mandate to verify via mcp__acdocs__search_agentcore_docs (MCP not connected) and any live AWS CLI call, so the emitted commands are unverified-against-the-API bundled-doc content; docs docked a point because the acdocs MCP is only wired through the marketplace plugin entry, not the skill directory. Category hint "efficiency" corrected to coding.
Scored on four weighted criteria — install, triggering, output vs. baseline, docs. How scoring works
- Installs cleanly 5/5
- Triggers reliably 5/5
- Output vs. baseline 7/10
- Docs & honesty 4/5
What Aws Agentic AI does
Loads vendored reference documentation for the nine Amazon Bedrock AgentCore services (Gateway, Runtime, Memory, Identity, Code Interpreter, Browser, Observability, Agent Registry, Evaluations) and routes each question to the matching service README before answering. Triggers when you mention AgentCore, deploying or scaling an agent on AWS, turning a REST API into MCP tools via Gateway, agent registry cataloging, or online/on-demand agent evaluation. Ships exact `aws bedrock-agentcore-control` command shapes, IAM policy blocks, service limits, and runnable Runtime/MCP/A2A/AG-UI server templates.
How to install Aws Agentic AI
git clone --depth 1 https://github.com/zxkane/aws-skills.git /tmp/aws-agentic-ai-src
mkdir -p ~/.claude/skills
cp -R /tmp/aws-agentic-ai-src/plugins/aws-agentic-ai/skills/aws-agentic-ai ~/.claude/skills/aws-agentic-ai
# ~452K: SKILL.md + services/ + references/ + cross-service/ + scripts/ (all relative links verified present)
# Plugin-marketplace alternative (also wires up the acdocs MCP server, which the plain copy above does NOT):
# /plugin marketplace add zxkane/aws-skills
# /plugin install aws-agentic-ai@aws-skills
# The SKILL.md body asks Claude to verify facts via mcp__acdocs__search_agentcore_docs.
# That MCP server (uvx awslabs.amazon-bedrock-agentcore-mcp-server@latest) is declared only in the
# repo's .claude-plugin/marketplace.json, so with the cp install the skill falls back to its
# bundled docs. It also declares a companion skill dependency: aws-mcp-setup
# (cp -R /tmp/aws-agentic-ai-src/plugins/aws-common/skills/aws-mcp-setup ~/.claude/skills/aws-mcp-setup)
# Actually running the emitted commands needs AWS credentials with bedrock-agentcore permissions.
Skills live in ~/.claude/skills/ (global) or .claude/skills/
(per-project). Restart Claude Code after installing.
Commands — how to trigger Aws Agentic AI
-
/aws-agentic-aiBundled AgentCore reference docs: Gateway, Runtime, Memory, Registry, Evaluations CLI patterns
It also activates on plain-language prompts like these:
-
Deploy my agent to AWS Bedrock AgentCore Runtime -
Set up an MCP gateway for AgentCore -
Register a new agent in the AgentCore registry
Frequently asked questions
- Is the Aws Agentic AI skill free?
- Yes. The skill itself is free from zxkane/aws-skills. SkillProof publishes the install command and an independent test verdict at no cost.
- Does Aws Agentic AI work with Claude Code?
- We tested it with Claude Code 2.x (agent harness) on Jul 21, 2026. Verdict: Tested · Works. Cloned the repo (GitHub API was rate-limited), found SKILL.md at plugins/aws-agentic-ai/skills/aws-agentic-ai/, confirmed the YAML frontmatter parses (name + 658-char description) and that every relative link in the body resolves on disk; three spot-checked files (services/gateway/README.md, scripts/mcp-server-template.py, cross-service/credential-management.md) returned HTTP 200 raw. Grep for curl|sh, base64 -d, eval $(...), AKIA keys and absolute /Users or /home paths found nothing. Install verified in an isolated `export HOME=$(mktemp -d)`: SKILL.md landed at ~/.claude/skills/aws-agentic-ai/SKILL.md, 452K total. Task: "set up automated quality evaluation for my agent on AgentCore Runtime, give me the CLI steps" — baseline (scratchpad/baseline.md) hedged with "I am not certain AgentCore has a dedicated evaluation control-plane API" and fell back to `aws bedrock create-evaluation-job`, the wrong service; the skill-followed artifact (scratchpad/agentic_skill.md), written after reading services/evaluations/README.md as the body instructs, produced `aws bedrock-agentcore-control create-online-evaluation-config` with the exact --rule/--data-source-config/--evaluators JSON shapes, the two built-in evaluator ids (Builtin.Helpfulness, Builtin.GoalSuccessRate), the custom-evaluator locking rule, the full IAM action list including iam:PassRole scoped to AgentCoreEvaluationRole*, and limits (10 evaluators/config, 100 active configs, 0.01-100% sampling). Not executed: the body's mandate to verify via mcp__acdocs__search_agentcore_docs (MCP not connected) and any live AWS CLI call, so the emitted commands are unverified-against-the-API bundled-doc content; docs docked a point because the acdocs MCP is only wired through the marketplace plugin entry, not the skill directory. Category hint "efficiency" corrected to coding.
- What is the Aws Agentic AI SkillProof Score?
- 8.4/10 — installs cleanly 5/5, triggers reliably 5/5, output vs. baseline 7/10, docs & honesty 4/5.
- How do I install Aws Agentic AI?
- Copy the install command from this page, run it in your terminal, and restart Claude Code. Skills live in ~/.claude/skills/ (global) or .claude/skills/ inside a project.
- Can I use Aws Agentic AI with Cursor, Copilot, Gemini CLI, Codex or other AI tools?
- The SKILL.md format is native to Claude (Claude Code, Desktop, claude.ai). The instructions inside adapt to other assistants: Cursor rules, GitHub Copilot instructions, Windsurf rules, Custom GPTs, AGENTS.md for OpenAI Codex, and GEMINI.md for Google Gemini CLI — our conversion guides cover each, and the free converter on the tools page does the wrapping for you.