Loading...
Loading...
Found 1,918 Skills
Generate templated responses for common legal inquiries and identify when situations require individualized attention. Use when responding to routine legal questions — data subject requests, vendor inquiries, NDA requests, discovery holds — or when managing response templates.
Use when working with AWS Strands Agents SDK or Amazon Bedrock AgentCore platform for building AI agents. Provides architecture guidance, implementation patterns, deployment strategies, observability, quality evaluations, multi-agent orchestration, and MCP server integration.
LLM-based deep iterative search and reasoning service. Specializes in handling complex problems, automatically decomposing queries, conducting multi-round iterative retrieval, evaluating and verifying information, and finally generating comprehensive and structured deep analysis reports.
Evaluates student code submissions based on conceptual mastery rather than just correctness. Use to provide high-quality educational feedback on architectural patterns and programming logic.
Evaluates Next.js routes and outputs optimal revalidate settings, cache tags for ISR, SSR configurations, or streaming patterns. This skill should be used when optimizing Next.js caching strategies, configuring Incremental Static Regeneration, planning cache invalidation, or choosing between SSR/ISR/SSG. Use for Next.js caching, revalidation, ISR, cache tags, on-demand revalidation, or rendering strategies.
Quality control metrics and filtering thresholds for protein design. Use this skill when: (1) Evaluating design quality for binding, expression, or structure, (2) Setting filtering thresholds for pLDDT, ipTM, PAE, (3) Checking sequence liabilities (cysteines, deamidation, polybasic clusters), (4) Creating multi-stage filtering pipelines, (5) Computing PyRosetta interface metrics (dG, SC, dSASA), (6) Checking biophysical properties (instability, GRAVY, pI), (7) Ranking designs with composite scoring. This skill provides research-backed thresholds from binder design competitions and published benchmarks.
Debug Node.js/TypeScript/JavaScript applications using the agent-dbg CLI debugger. Use when: (1) investigating runtime bugs by stepping through code, (2) inspecting variable values at specific execution points, (3) setting breakpoints and conditional breakpoints, (4) evaluating expressions in a paused context, (5) hot-patching code without restarting, (6) debugging test failures by attaching to a running process, (7) any task where understanding runtime behavior requires a debugger. Triggers: "debug this", "set a breakpoint", "step through", "inspect variables", "why is this value wrong", "trace execution", "attach debugger", "runtime error".
Technical implementation planning and architecture design. Capabilities: feature planning, system architecture, technical evaluation, implementation roadmaps, requirement breakdown, trade-off analysis, codebase analysis, solution design. Actions: plan, architect, design, evaluate, breakdown technical solutions. Keywords: implementation plan, technical design, architecture, system design, roadmap, requirements analysis, trade-offs, technical evaluation, feature planning, solution design, scalability, security, maintainability, sprint planning, task breakdown. Use when: planning new features, designing system architecture, evaluating technical approaches, creating implementation roadmaps, breaking down complex requirements, assessing technical trade-offs.
Use when asked to compare multiple ML models, perform cross-validation, evaluate metrics, or select the best model for a classification/regression task.
Transform emotional reactions or venting messages from collaborators into professional, diplomatic responses suitable for difficult workplace situations with toxic managers.
Use when evaluating ICP fit, buying intent, and routing priority for new leads.
Use when "Dask", "parallel computing", "distributed computing", "larger than memory", or asking about "parallel pandas", "parallel numpy", "out-of-core", "multi-file processing", "cluster computing", "lazy evaluation dataframe"