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Testing & security
Rapid MLX Performance Workflow
Investigate Rapid MLX performance, prototype changes, benchmark results, and prepare reviewed improvements.
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raullenchai
Market & Competitor Research Skills for Claude Code, Codex & AI Agents
These skills help an agent understand a market, its customers and its competitors. They include competitor profiling, ICP generation, customer research and jobs-to-be-done analysis.
19 skillsExplore Market & Competitor Research skills
4 skills
Free
Testing & security
Ponytail: Benchmark Scoreboard
Display Ponytail’s recorded benchmark results for code size, cost and execution speed.
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DietrichGebert
Apply practical large-model training and operations guidance, and evaluate GPU cluster performance and readiness.
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Evaluates an ML GPU cluster for a cloud trial or acceptance test: environment dump, isolated newest PyTorch, matmul FLOPS (MAMF/MSMF) on every GPU while the others compute, intra-node all-reduce bandwidth and per-call latency of every collective, the same inter-node on every node you were given (omit those sections if there is only one node), fio on local disk and shared FS, dated markdown report.
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Related guides
- Research Skills for AI Agents: Sources, Papers and Evidence
Choose research skills for question framing, literature search, paper analysis, citation checks and study screening, with clear scope and traceable evidence.
How to choose Market & Competitor Research skills
Use competitor skills to map alternatives, customer and JTBD skills to understand buyers, and pricing skills once you know the market.
- Profile your main competitors
- Define an ideal customer profile
- Run a jobs-to-be-done analysis