zxkane

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.

AWS Cloud Development Kit (CDK) expert for building cloud infrastructure with TypeScript/Python. Use when creating CDK stacks, defining CDK constructs, implementing infrastructure as code, or when the user mentions CDK, CloudFormation, IaC, cdk synth, cdk deploy, or wants to define AWS infrastructure programmatically. Covers CDK app structure, construct patterns, stack composition, and deployment workflows.

Configure AWS MCP servers for documentation search and API access. Use when setting up AWS MCP, configuring AWS documentation tools, troubleshooting MCP connectivity, or when user mentions aws-mcp, awsdocs, uvx setup, or MCP server configuration. Covers both Full AWS MCP Server (with uvx + credentials) and lightweight Documentation MCP (no auth required).

AWS cost optimization, monitoring, and operational excellence expert. Use when analyzing AWS bills, estimating costs, setting up CloudWatch alarms, querying logs, auditing CloudTrail activity, or assessing security posture. Essential when user mentions AWS costs, spending, billing, budget, pricing, CloudWatch, observability, monitoring, alerting, CloudTrail, audit, or wants to optimize AWS infrastructure costs and operational efficiency.

AWS serverless and event-driven architecture expert based on Well-Architected Framework. Use when building serverless APIs, Lambda functions, REST APIs, microservices, or async workflows. Covers Lambda with TypeScript/Python, API Gateway (REST/HTTP), DynamoDB, Step Functions, EventBridge, SQS, SNS, and serverless patterns. Essential when user mentions serverless, Lambda, API Gateway, event-driven, async processing, queues, pub/sub, or wants to build scalable serverless applications with AWS best practices.

Use when running, configuring, or troubleshooting the autonomous-dev-team dispatcher cron. Triggers on phrases like "run the dispatcher", "scan for pending issues", "dispatch autonomous tasks", "set up the dispatch cron", "configure dispatcher.conf", "set up multi-project dispatcher", "dispatch to a remote dev box via SSM", "EXECUTION_BACKEND=remote-aws-ssm", "stale agent detection", or working on dispatcher-tick.sh / dispatcher-multi-tick.sh / dispatch-local.sh / dispatch-remote-aws-ssm.sh. Covers per-project tick (5 steps: concurrency, scan-new, scan-pending-review, scan-pending-dev, stale detection), the multi-project outer loop, and pluggable local-vs-remote-AWS-SSM execution backends.

Use to perform an end-to-end PR review and reach an approve/request-changes verdict — including verifying acceptance criteria, running E2E tests via browser automation, resolving merge conflicts, and (when verdict passes) merging the PR. Triggers on phrases like "review this PR", "decide whether to approve and merge", "run E2E verification", "resolve merge conflicts on PR #N", or when the dispatcher hands off a PR labeled `pending-review` / `reviewing` for autonomous review. Distinct from in-flight dev-side self-review (that lives in autonomous-dev's pr-review step).

Use when the user asks to create a GitHub issue, file a bug, request a feature, open a tracking issue, or break a feature into multiple sub-issues. Guides interactive issue drafting with structured templates, workspace-change attachment, dependency linking, and the optional `autonomous` label for the automated dev pipeline.

Use when setting up, troubleshooting, or modifying the shared hooks and agent-callable utility scripts that enforce the autonomous dev/review workflow. Triggers on phrases like "push to main is blocked", "block-commit-outside-worktree hook failing", "configure hooks after npx skills add", "what does check-pr-review.sh do", "set up workflow hook symlinks", or when editing files under `skills/autonomous-common/`. Provides the hooks the autonomous-dev / autonomous-review skills depend on, plus utility scripts (gh-as-user.sh, mark-issue-checkbox.sh, reply-to-comments.sh, resolve-threads.sh).

Use to develop a feature or bug fix end-to-end through a TDD git-worktree workflow — interactively (developer-led) or unattended (autonomous-mode, driven by the dispatcher). Triggers on phrases like "implement issue #N", "fix this bug", "add a feature", "create a worktree", "write test cases", "push and open a PR", "check CI", "address review comments", "resolve review threads", "/q review", "/codex review", "implement this autonomously", or any partial step in the design → worktree → tests → implement → verify → review → PR → CI → E2E lifecycle. Interactive mode asks for decisions; autonomous mode makes decisions per autonomous-mode.md and posts progress comments to the GitHub issue.

This skill should be used when the user explicitly asks to "transcribe a meeting", "transcribe audio", "transcribe a meeting recording", "convert audio to text", "generate meeting minutes from audio", "do speech-to-text", "transcribe with speaker diarization", "identify speakers in audio", "transcribe Chinese audio", "transcribe English audio", "transcribe Japanese audio", "multi-speaker transcription", "transcribe a podcast", "transcribe podcast episode", "transcribe an interview", "convert podcast to text", "podcast to transcript", or mentions FunASR, Paraformer, SenseVoice, Whisper, MiMo, MiMo-V2.5-ASR, meeting transcription, podcast transcription, or speaker diarization. Supports multi-speaker meeting and podcast transcription in Chinese, English, Japanese, Korean, Cantonese, and 99 languages (via Whisper), plus Xiaomi MiMo-V2.5-ASR (8B, local GPU) for stronger proper-noun and code-switching accuracy. Automatic speaker diarization via CAM++, hotword biasing (FunASR path), LLM cleanup. FunASR works on GPU

This skill should be used when the user asks to "design a feature", "create UI mockup", "create a PR", "address review comments", "resolve review threads", "retrigger Q review", "/q review", "respond to Amazon Q", "/codex review", "respond to Codex", "handle reviewer findings", "merge PR", "push changes", "check CI status", or mentions design canvas, Pencil tool, PR workflow, code review, reviewer bots, or GitHub Actions checks.