Michael Shao
Community@mslshao · Seattle, Washington
Staff SWE @Morgan-and-Morgan optimizing life, one day at a time.
Agent Skills by Michael Shao
Showing 26 vetted skills indexed across 1 GitHub repositories.
mslshaoinvestigate
Trace production failures through code paths, git history, and deployment state.
mslshaoreview
Reviews local code changes for defects, risks, and missing tests before pull request submission.
mslshaoenrich
Gather and synthesize factual context from Jira, GitHub, AWS, and Datadog into structured briefings.
mslshaohandoff
Generate an end-of-session audit and cold-start handoff prompt.
mslshaolaunch
Convert scoped tickets into draft pull requests with review gates.
mslshaoreflect
Convert recurring user corrections into a proposed rule or skill update.
mslshaoaudit-worktrees
Audit and clean stale Git worktrees with recovery SHA capture.
mslshaoconverge
Orchestrate end-to-end plan convergence from tickets, threads, and drafts into structured work items.
mslshaopr-intel
Generate structured GitHub pull request review briefings with draft comments.
mslshaorecall
Search persistent memory artifacts for prior session context.
mslshaobead-forge
Decompose feature descriptions and discussions into actionable beads with acceptance criteria.
mslshaoideate
Generate and rank solution approaches for code-shaped planning problems.
mslshaobabysit-pr
Poll draft GitHub pull requests and auto-remediate mechanical bot feedback.
mslshaocompound
Convert session friction into durable process improvements after completed work units.
mslshaocalibrate
Review and merge calibration drift entries from beads memory into agent calibration files.
mslshaorefine
Rewrite rough ideas into precise, actionable prompts for AI execution.
mslshaoskill-catalog
Route user tasks to the most appropriate available skill from a centralized catalog.
mslshaocapture-transcript
Convert pasted meeting transcripts into standup summaries or memory records.
mslshaotest-forge
Generate behavioral tests for Python modules with review and execution verification.
mslshaochallenge
Extract, score, and validate plan assumptions against evidence.
mslshaoconsult
Coordinate parallel specialist code reviews and synthesize findings into one recommendation.
mslshaopost-review
Post finalized GitHub pull request reviews with inline comments and confirmation.
mslshaoautopilot
Automate planning and feature delivery into a converged plan or draft pull request.
mslshaocodility-review
Evaluate Codility Legal Document Management API submissions with a two-pass rubric.