发现 Skills

Structured 4-phase debugging: Reproduce, Isolate, Root-Cause, Fix+Defend. Use when tracking bugs, diagnosing failures, or investigating unexpected behavior. Recognizes: "systematic-debugging", "debug this", "why does this fail", "find the bug", "track down", "root cause", "investigate error", "unexpected behavior", "it works sometimes", "flaky test"

Systematically explore and test a web application to find bugs, UX issues, and other problems. Use when asked to "dogfood", "QA", "exploratory test", "find issues", "bug hunt", "test this app/site/platform", or review the quality of a web application. Produces a structured report with full reproduction evidence -- step-by-step screenshots, repro videos, and detailed repro steps for every issue -- so findings can be handed directly to the responsible teams.

Format errors with actionable fix suggestions and documentation links

Skill for validating research against reporting checklists

Interface with Codeforces API for contest data, problem sets, and submissions

Create and maintain comprehensive collection records including cataloging, photography, condition documentation, and database management following AAM/ICOM standards

CSS Modules patterns, composition, variables, and build configuration.

Organize and manage due diligence data rooms

Create macOS DMG installers with custom backgrounds and app placement

Manage and document SDK error codes and messages

Fairness assessment skill using Fairlearn for bias detection, mitigation, and compliance reporting.

Failure Mode and Effects Analysis facilitation skill for products and processes with risk prioritization and control implementation

Expert Jest testing framework for JavaScript/TypeScript unit and integration testing

JSON Schema validation and API contract design.

Keyboard accessibility, focus management, and shortcuts.

Robot kinematics and dynamics computation including forward/inverse kinematics and dynamics

Design instructional strategies that promote knowledge and skill transfer to real-world application contexts

Web Components development with Lit including custom elements, reactive properties, shadow DOM, and interoperability.

Systematic material selection using the Ashby methodology and performance indices

Deep integrations with media monitoring platforms for coverage tracking, sentiment analysis, and reporting

Embedded memory analysis, optimization, and leak detection

Mock Service Worker API mocking, request handlers, and integration testing.

PID controller tuning skill for loop optimization using various tuning methods and performance criteria

Translate research findings into accessible policy briefs, presentations, and stakeholder communications