evidence-first-debugging
Enforces a strict evidence-based debugging workflow using structured observation, hypothesis testing, and causality validation to eliminate speculation in technical investigations.
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606 skills found
Enforces a strict evidence-based debugging workflow using structured observation, hypothesis testing, and causality validation to eliminate speculation in technical investigations.
Real-time web search and content extraction tool using the Tavily API for research, news gathering, and up-to-date information retrieval.
Translates Excel (.xlsx) files from English to Chinese while preserving all formatting, images, and charts.
Manage your knowledge base on BookStack programmatically. Perform CRUD operations on books, chapters, and pages, and conduct full-text searches via the REST API.
Collaborative UI design, wireframing, and Tailwind-first code polish to build distinctive, high-quality interfaces without AI slop.
Track and execute code implementation using Mighty (mt) tasks, with progress comments, linked evidence, recorded design decisions, and clean closeout workflows.
Creates structured Linear issues (main + sub-issues) with automated project linking, title prefixes, labeling, and PRD-aligned content workflows for fullstack developers.
Manage isolated LlamaFarm development environments using git worktrees for parallel agent sessions and service testing.
AI-powered creative visual prompt generator for posters, banners, product shots, and social media content.
Implements an autonomous, critical self-verification layer for AI agents to validate code quality, security, and requirement alignment before task completion.
Captures session learnings into Reusable Intelligence Infrastructure (RII). Converts one-time bug fixes and pattern discoveries into permanent agent-executable knowledge to prevent recurrence and accelerate future development.
Enforces structured self-assessment checkpoints to validate approach, mitigate risks, and ensure quality before, during, and after task execution.