
from skills_all-in-one50
Guides agents on how to receive and handle code review feedback: verify, ask clarifying questions, prioritize fixes, and avoid performative agreement.
Provides a disciplined pattern for handling code review feedback: read fully, restate or ask clarifying questions, verify against the codebase, evaluate technical correctness, respond with technical reasoning, and implement fixes one at a time with tests. Emphasizes avoiding performative acknowledgements and encourages skeptical verification and YAGNI checks.
Trigger this skill when an agent receives code review comments (from teammates, external reviewers, or CI); when deciding the order of fixes; or when unsure whether reviewer suggestions apply to the current codebase. Also useful for composing GitHub review replies.
General-purpose conversational/code assistants (Claude, ChatGPT, Copilot-style) that interact with code review workflows and GitHub.
This skill has not been reviewed by our automated audit pipeline yet.
ClinicalTrials.gov Database
Search and retrieve ClinicalTrials.gov study data (API v2): condition, intervention, location, status, phase; fetch full study details by NCT ID and export resu
Charles Proxy Session Extractor
Parses Charles Proxy .chlsj session files to extract requests and responses, filter by path or method, and export structured JSON for inspection or analysis.
Markdown → EPUB Converter
Convert Markdown documents or chat summaries into EPUB3 ebooks with automatic TOC, chapter detection, styling, and metadata support for easy reading on all devi