debugging-strategies
Systematic debugging including root-cause tracing (trace backward through call stack), reproduction strategies, pdb/debugpy usage, logging analysis, binary search debugging, and error pattern recognition. Use when debugging errors, tracing bugs through call stacks, investigating production issues, or reproducing intermittent bugs.
bug-interview
Deeply interviews the user about a bug before investigating or fixing it. Use this when the user says "interview me about [bug]", "I have a bug to report", "let's work on this bug", "found a bug", "there's a bug", or describes a bug they encountered. Asks probing questions about reproduction steps, environment, patterns, impact, and context that help isolate the root cause. Continues until the bug is well-understood, then writes a detailed investigation/fix plan.
dev-debug
This skill should be used when the user asks to 'debug', 'fix bug', 'investigate error', 'why is it broken', 'trace root cause', 'find the bug', or needs systematic bug investigation and fixing with verification-driven methodology using ralph loops.
debug-specialist
디버깅, 디버그, 버그, 에러, 오류, 버그 수정 - Specialized in identifying root causes of bugs, analyzing error logs, and providing robust fixes. Use this when the user reports an error, unexpected behavior, or needs performance troubleshooting.
capa-officer
Senior CAPA Officer specialist for managing Corrective and Preventive Actions within Quality Management Systems. Provides CAPA process management, root cause analysis, effectiveness verification, and continuous improvement coordination. Use for CAPA investigations, corrective action planning, preventive action implementation, and CAPA system optimization.
Confidence Check
Pre-implementation confidence assessment (≥90% required). Use before starting any implementation to verify readiness with duplicate check, architecture compliance, official docs verification, OSS references, and root cause identification.
debugging-strategies
Master systematic debugging techniques, profiling tools, and root cause analysis to efficiently track down bugs across any codebase or technology stack. Use when investigating bugs, performance issues, or unexpected behavior.
debug
Hypothesis-driven debugging through observe, hypothesize, test, narrow. Use when something is wrong and you need to find why.
analyzing-research-documents
Extracts high-value insights from research documents, RCAs, design docs, and memos - filters aggressively to return only actionable information. Research equivalent of analyzing-implementations skill.
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes - four-phase framework (root cause investigation, pattern analysis, hypothesis testing, implementation) that ensures understanding before attempting solutions
problem-solving
Systematic problem-solving techniques for stuck-ness. Techniques: simplification cascade (complexity spirals), collision-zone thinking (innovation blocks), meta-pattern recognition (recurring issues), inversion exercise (assumption constraints), scale game (uncertainty). Actions: simplify, analyze, recognize patterns, invert assumptions, scale thinking. Keywords: problem solving, complexity spiral, innovation block, stuck, simplification, meta-pattern, assumption inversion, scale uncertainty, breakthrough thinking, root cause, systematic analysis, Microsoft Amplifier, debugging approach, creative solution. Use when: complexity spiraling, hitting innovation blocks, seeing recurring patterns, constrained by assumptions, uncertain about scale, generally stuck on problems.
debugging
Systematic debugging methodology with root cause analysis. Phases: investigate, hypothesize, validate, verify. Capabilities: backward call stack tracing, multi-layer validation, verification protocols, symptom analysis, regression prevention. Actions: debug, investigate, trace, analyze, validate, verify bugs. Keywords: debugging, root cause, bug fix, stack trace, error investigation, test failure, exception handling, breakpoint, logging, reproduce, isolate, regression, call stack, symptom vs cause, hypothesis testing, validation, verification protocol. Use when: encountering bugs, analyzing test failures, tracing unexpected behavior, investigating performance issues, preventing regressions, validating fixes before completion claims.
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes - four-phase framework (root cause investigation, pattern analysis, hypothesis testing, implementation) that ensures understanding before attempting solutions
Debugging
Systematic debugging framework ensuring root cause investigation before fixes. Includes four-phase debugging process, backward call stack tracing, multi-layer validation, and verification protocols. Use when encountering bugs, test failures, unexpected behavior, performance issues, or before claiming work complete. Prevents random fixes, masks over symptoms, and false completion claims. | Sử dụng khi gặp lỗi, bug, test fail, không hoạt động, crash, exception, sửa lỗi, debug.
bug-triage
Reproduce, isolate, and fix a bug (or failing build/test), then summarize root cause, fix, and verification steps.
systematic-debugging
Root cause analysis for debugging. Use when bugs, test failures, or unexpected behavior have non-obvious causes, or after multiple fix attempts have failed.
trade-study-analysis
Conduct systematic trade study analyses using the DAU 9-Step Trade Study Process. Guides engineers through problem definition, root cause analysis (5 Whys, Fishbone), data collection from alternatives and datasheets, normalization calculations, weighted scoring, sensitivity analysis, and professional report generation with visualizations and decision matrices. Use when evaluating alternatives, comparing solutions, conducting trade-offs, or making engineering decisions.
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes
Page 1 of 5 · 76 results