prototype-interaction
Define and document prototype interactions, transitions, and hotspots
浏览 a5c-ai 维护的已发布 AI 技能,比较用途与说明,并通过来源仓库了解安装方式。
已收录技能
232收录技能的仓库 Stars 合计
92,090仓库 Forks
4,851平均每个技能的仓库 Stars
397同一仓库中的多个技能可能共享 Stars,合计包含重复仓库数据。
Define and document prototype interactions, transitions, and hotspots
Exploit development automation using pwntools framework
Unity Profiler skill for performance analysis, frame debugging, memory profiling, and optimization workflows.
Expert skill for generating and consuming source maps for debugging compiled code
Analyze and fix WPF applications for high DPI support, per-monitor DPI awareness, and scaling issues
Expert skill for gRPC protocol implementation, debugging, and performance optimization
LangSmith tracing and debugging setup for LLM applications. Configure observability, capture traces, and enable debugging for LangChain/LangGraph agents.
On-chip debugging skill with ILA, VIO, and related FPGA debug tools
Analyze database query performance with execution plans and index recommendations
Embedded memory analysis, optimization, and leak detection
Set up MCP Inspector for debugging and testing MCP servers with request logging, response inspection, and protocol validation.
Network protocol capture, analysis, and fuzzing capabilities
Structured log analysis and aggregation expertise for observability and troubleshooting
Expert skill for GPU debugging using CUDA-GDB and NVIDIA Compute Sanitizer. Detect memory errors, race conditions, uninitialized memory access, validate atomic operations, analyze kernel synchronization issues,...
Orchestrate .a5c runs via @a5c-ai/babysitter-sdk CLI. Run iterations, get requested effects, perform effects, post results. use this skill when asked to babysit a run or orchestrate a complex workflow.
Use the breakpoint API to communicate with users during babysitter runs (post breakpoints, poll for release, fetch feedback, and read context files). Trigger whenever a babysitter workflow needs approval, input...
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。