Builds QA harnesses for LLM agents. Use when evaluating tool, trace, red-team, regression, multi-agent, or carried-workspace trajectory behavior.
原文语言:英语
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Builds QA harnesses for LLM agents. Use when evaluating tool, trace, red-team, regression, multi-agent, or carried-workspace trajectory behavior.
原文语言:英语
Systematic debugging for crashes, regressions, flakes, and production bugs. Use when diagnosing stack traces, logs, traces, or profiling data.
原文语言:英语
Audits and enforces documentation quality. Use when checking coverage, freshness, runbook validity, AI-instruction coverage, or cleaning stale/duplicate markdown after LLM edits.
原文语言:英语
Tests apps as an ICP persona through browser automation and reports friction, fixes, and risks. Use when running persona-based, ICP, or synthetic-user testing.
原文语言:英语
Safe refactoring with behavior preservation. Use when reducing technical debt, planning codemods, applying strangler migrations, or tightening CI guardrails around risky changes.
原文语言:英语
Discovers and triages recent arXiv papers for AI/ML, agents, and software/QA. Use when scouting categories, arXiv IDs, or source lists.
原文语言:英语
Scans public GitHub repos for agent skills, dev practices, and code patterns. Use when enriching skills, setting team policy, or researching a build domain.
原文语言:英语
Mines academic papers, research blogs, and curator newsletters for stealable methods and frameworks. Use when scanning research for applicable techniques across AI/ML/SWE.
原文语言:英语
Designs runtime and platform architecture inside a chosen solution. Use when deciding modular monolith vs services, consistency, resilience, or estate topology.
原文语言:英语
Builds backend services and APIs with durable defaults. Use when implementing REST, GraphQL, tRPC, or gRPC services with auth, queues, data, or observability.
原文语言:英语
Defines clean-code standards and CC-* rules. Use when reviewing code, setting team standards, citing lint findings, or measuring erosion, complexity mass, and verbosity.
原文语言:英语
Applies systematic code review patterns and checklists. Use when reviewing PRs or diffs for correctness, security, readability, maintainability, and AI-generated changes.
原文语言:英语
Builds frontend applications across major web stacks. Use when implementing UI, fixing hydration or SSR issues, or setting up modern frontend architecture.
原文语言:英语
Designs and audits UI/UX systems with usability and accessibility requirements. Use when shaping flows, design systems, interaction patterns, or WCAG-aware product behavior.
原文语言:英语
Designs lakehouse platforms across Iceberg, Delta, Hudi, and Paimon. Use when choosing catalogs, CDC paths, query engines, governance, or cost controls.
原文语言:英语
Designs DevOps and platform engineering systems. Use when planning Kubernetes, Terraform, GitOps, CI/CD, observability, incident response, or cloud-native operations.
原文语言:英语
Designs and audits native Android interfaces. Use when reviewing Compose layout, typography, color, motion, or adaptive patterns on a verified emulator build.
原文语言:英语
Design local AI engines for iOS. Use when wiring Apple Foundation Models, local classifiers, extraction, summarization, grounded answers, and cloud fallbacks.
原文语言:英语
Designs and audits native iOS interfaces. Use when reviewing or refining SwiftUI layout, typography, Liquid Glass, navigation, or dashboards on a freshly verified build.
原文语言:英语
Guides native iOS with Swift, SwiftUI, UIKit interop, concurrency, and persistence. Use when building or reviewing iPhone/iPad apps after establishing runtime truth.
原文语言:英语
Guides mobile platform selection and delivery across native and cross-platform stacks. Use when planning auth, push, deep links, releases, or app architecture for iOS/Android.
原文语言:英语
Guides user research methods and research ops. Use when running interviews, usability tests, surveys, or A/B tests to de-risk product decisions.
原文语言:英语
Chooses among AI/ML approaches: classical ML, LLM, RAG, fine-tuning, agents, multimodal, embeddings/recsys, dense/MoE/SSM/diffusion. Use when picking or scaling an architecture.
原文语言:英语
Designs slash-command runtimes for coding-agent CLIs. Use when modeling command registries, lazy loading, aliases, forked commands, or remote-safe dispatch.
原文语言:英语
Designs plugin systems for coding-agent runtimes and CLIs. Use when adding plugin manifests, extension points, built-in plugins, or reloadable agent integrations.
原文语言:英语
Designs provider runtimes for coding agents. Use when modeling model abstraction, streaming semantics, tool-call normalization, retries, or fallback routing.
原文语言:英语
Designs release and distribution systems for coding-agent CLIs. Use when modeling packaging, auto-update channels, plugin compatibility, cache migrations, or install footprints.
原文语言:英语
Designs remote execution and bridge runtimes for coding agents. Use when implementing remote sessions, local-UI remote-execution, reconnect logic, or permission bridging.
原文语言:英语
Designs session lifecycle for coding-agent runtimes. Use when implementing resume, transcript restoration, checkpoint rewind, cross-worktree recovery, or session-state persistence.
原文语言:英语
Designs settings and policy layers for coding-agent runtimes. Use when modeling source precedence, managed policy, env controls, or runtime settings validation.
原文语言:英语
Designs terminal-first coding-agent UX: REPL, prompt input, status lines, keybindings, display modes. Use when shaping TUI rendering, history, or background-task navigation.
原文语言:英语
Designs tool runtimes for coding agents. Use when modeling tool registries, deferred loading, permission-aware execution, tool search, or remote tool rendering.
原文语言:英语
Builds and audits LLM pretraining corpora: extraction, filtering, dedup, decontamination, data mixing, synthetic data. Use when curating or ablating a pretraining data pipeline.
原文语言:英语
Builds repeatable deep-research workflows for verified synthesis. Use when producing evidence-backed briefs, comparisons, dossiers, or research pipelines.
原文语言:英语
Guides multi-GPU pre-training: DDP, FSDP2, ZeRO, tensor/pipeline/expert parallelism, fp8/Muon. Use when scaling a run, training MoE, or reproducing GPT-2 on rented GPUs.
原文语言:英语
LLM inference patterns for latency, batching, caching, quantization, routing, and serving stacks. Use when optimizing throughput, tail latency, or serving cost.
原文语言:英语
Runs local and self-hosted LLM workflows with Ollama, LM Studio, MLX, Open WebUI, llamafile, and adapters. Use when operating private model stacks.
原文语言:英语
ML and data science workflows - EDA, feature engineering, modelling, evaluation, and production handoff. Use when exploring data or building models.
原文语言:英语
Time-series forecasting with temporal validation, panel models, probabilistic forecasts, and TS foundation models. Use when modeling ordered observations.
原文语言:英语
Operates production MLOps for ML, LLM, and agent systems. Use when designing deployment, monitoring, retraining, incident response, or GenAI security workflows.
原文语言:英语