Defense-in-depth, PII protection, secrets scanning, and secure packaging for distributed software
원문 언어: 영어
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이 저장소의 skills
SkillsMP는 fabioc-aloha/BrainBenchmark에서 120개의 skill을 수집했습니다. skill을 열어 소스와 세부 정보를 확인하세요.
fabioc-aloha/BrainBenchmark수집된 skill 120개 중 40개를 표시합니다.
Defense-in-depth, PII protection, secrets scanning, and secure packaging for distributed software
원문 언어: 영어
Systematic documentation audit, drift detection, preflight validation, and multi-pass quality pipelines
원문 언어: 영어
Neural maintenance, synapse validation, automated health diagnostics, and unconscious processing
원문 언어: 영어
Patterns for Microsoft Graph, Azure AD, and enterprise feature integration in VS Code extensions
원문 언어: 영어
What to do when things break.
원문 언어: 영어
Data-driven narrative construction, stakeholder management, and influencing senior leadership decisions
원문 언어: 영어
Systematic 5-dimension audit framework for VS Code extensions — debug hygiene, dead code, performance, menu validation, dependency cleanup
원문 언어: 영어
Seamless notebook publishing from VS Code to Microsoft Fabric via Azure DevOps Git integration
원문 언어: 영어
Train and manage custom FLUX LoRA fine-tunes on Replicate for consistent brand character imagery
원문 언어: 영어
Microsoft Foundry agent deployment, orchestration, and cloud-native AI service patterns
원문 언어: 영어
Detect user frustration from conversational signals and respond with empathy, de-escalation, and practical support.
원문 언어: 영어
Generate professional presentations using the Gamma API with expert storytelling consulting based on Duarte methodology.
원문 언어: 영어
Consistent git practices, recovery patterns, and safe operations.
원문 언어: 영어
Cross-project knowledge search, pattern recognition, and insight management — the long-term memory across all projects
원문 언어: 영어
Translate research vision into funded reality.
원문 언어: 영어
Patterns for visual design, SVG creation, layout composition, typography, and brand identity.
원문 언어: 영어
Master-Heir synchronization, contamination prevention, and promotion workflows
원문 언어: 영어
Right format, right size, right quality — plus AI image generation via Replicate
원문 언어: 영어
Calm, systematic crisis handling — from detection through post-mortem to prevention
원문 언어: 영어
**Domain**: DevOps & Cloud Engineering
원문 언어: 영어
Cross-project pattern recognition — abstract, generalize, connect, store at the highest true level
원문 언어: 영어
Help humans learn through partnership, not instruction.
원문 언어: 영어
Write markdown that passes linting on first attempt by internalizing common rules.
원문 언어: 영어
Systematic literature search, synthesis, gap identification, and narrative construction for academic research
원문 언어: 영어
Choosing the right model for the task — power vs. cost vs. speed.
원문 언어: 영어
**Domain**: Software localization, internationalization, multilingual application development
원문 언어: 영어
Debug non-functional M365 Copilot declarative agents.
원문 언어: 영어
Clear documentation through visual excellence
원문 언어: 영어
**Domain**: AI Infrastructure
원문 언어: 영어
Convert Markdown with Mermaid diagrams to professional Word documents
원문 언어: 영어
Knowledge consolidation, memory integration, and guided meditation — the interactive counterpart to automated dream processing
원문 언어: 영어
Internal metacognitive skill for automatic capability and workflow discovery — combines skill routing and prompt retrieval
원문 언어: 영어
Microsoft Fabric workspace management, governance, REST API patterns, and medallion architecture implementation
원문 언어: 영어
Comprehensive Microsoft Graph API reference for M365 service integration
원문 언어: 영어
Coordinate multiple AI agents for complex tasks — decomposition, delegation, and synthesis
원문 언어: 영어
Identify opportunities to build automation scripts (muscles) from repetitive or heavy-lifting tasks
원문 언어: 영어
Project vision alignment, mission definition, and quality standards — the guiding goal that shapes every decision
원문 언어: 영어
Production visibility through logs, metrics, traces, and alerting — the three pillars of observability
원문 언어: 영어
CPU, memory, network bottleneck analysis — systematic performance investigation
원문 언어: 영어
Intelligent project persona identification using priority chain detection with LLM and heuristic fallback
원문 언어: 영어