コーディング規約、フレームワーク、リファクタリング、コードレビュー（1.4万 件）
概要と使いどころ
Manage GPU compute jobs on the Qizhi (启智) platform using qzcli — a kubectl-style CLI tool. Use when user says "qzcli", "启智平台", "submit job", "stop job", "查计算组", "avail", "list jobs", "batch submit", or needs to manage distributed training jobs on a Qizhi instance.
日本語の概要は準備中です。原文の説明を表示しています。
Search GitHub, Stack Exchange, Chinese technical communities, official documentation, and general developer web sources for software errors, compatibility problems, API usage questions, and real-world workarounds. Use for debugging and discovery only; results are not paper-citation evidence.
日本語の概要は準備中です。原文の説明を表示しています。
Autonomous design space exploration loop for computer architecture and EDA. Runs a program, analyzes results, tunes parameters, and iterates until objective is met or timeout. Use when user says \"DSE\", \"design space exploration\", \"sweep parameters\", \"optimize\", \"find best config\", or wants iterative parameter tuning.
日本語の概要は準備中です。原文の説明を表示しています。
Use when main results pass result-to-claim (`claim_supported = yes` or `partial`) and ablation studies are needed for paper submission. A secondary Codex agent designs ablations from a reviewer's perspective; the local executor reviews feasibility and implements.
日本語の概要は準備中です。原文の説明を表示しています。
Workflow 1: Full idea discovery pipeline. Orchestrates research-lit → idea-creator → novelty-check → research-review to go from a broad research direction to validated, pilot-tested ideas. Use when user says \"找idea全流程\", \"idea discovery pipeline\", \"从零开始找方向\", or wants the complete idea exploration workflow.
日本語の概要は準備中です。原文の説明を表示しています。
Autonomous multi-round research review loop. Repeatedly reviews using a secondary Codex agent, implements fixes, and re-reviews until positive assessment or max rounds reached. Use when user says "auto review loop", "review until it passes", or wants autonomous iterative improvement.
日本語の概要は準備中です。原文の説明を表示しています。
Run the Anti-Autoresearch integrity-forensics DETERMINISTIC slice (numeric core + rules-only reporter) against a paper via a SHA-pinned thin launcher, then convert the verdict into a typed policy gate (BLOCK/WARN/NO_NEW_BLOCKER) and an append-only obligations ledger. Codex-native limitation: upstream ships no Codex-native auditor pack, so the full nine-dimension semantic sweep requires a Claude Code session — this pack runs the honestly-scoped deterministic-only mode (it can flag, it can never say CLEAN). Use when user says "integrity forensics", "forensic audit this paper", "投稿前自查诚信".
日本語の概要は準備中です。原文の説明を表示しています。
Workflow 1 adaptation for robotics and embodied AI. Orchestrates robotics-aware literature survey, idea generation, novelty check, and critical review to go from a broad robotics direction to benchmark-grounded, simulation-first ideas. Use when user says \"robotics idea discovery\", \"机器人找idea\", \"embodied AI idea\", \"机器人方向探索\", \"sim2real 选题\", or wants ideas for manipulation, locomotion, navigation, drones, humanoids, or general robot learning.
日本語の概要は準備中です。原文の説明を表示しています。
Autonomous multi-round research review loop. Repeatedly reviews using Gemini via gemini-review MCP, implements fixes, and re-reviews until positive assessment or max rounds reached. Use when user says "auto review loop", "review until it passes", or wants autonomous iterative improvement.
日本語の概要は準備中です。原文の説明を表示しています。
Use when a user wants to create, write, name, place, or organize an Architecture Decision Record (ADR) in a software project — e.g. "write an ADR for choosing a database", "document this architecture decision", "set up an adr/ or decisions/ directory", "which ADR template should I use", "supersede an old ADR". Covers picking a template, naming the file, filling in context/decision/consequences, and deciding whether a decision even needs an ADR.
日本語の概要は準備中です。原文の説明を表示しています。
Ambient Memori long-term memory for Claude Code via local Bash. MUST TRIGGER on essentially every non-trivial user turn: run recall before drafting any substantive response, whether or not the user mentioned memory, a prior session, or past work. The default is to check memory first; do not wait to be asked. Always fire before external lookups (WebSearch/WebFetch) and before answering any question about preferences, prior decisions, constraints, project history, status, past work, or any non-trivial coding/research task. Skip only for trivial acknowledgements/closings, purely self-contained turns where prior context cannot possibly help, or when the user explicitly opts out. Use Advanced Augmentation after drafting the final response for every non-trivial turn, as the last memory step. Use recall.summary only for broad session summaries/orientation, compaction after context loss, feedback for memory quality, quota for limits, and signup only when explicitly requested.
日本語の概要は準備中です。原文の説明を表示しています。
Use when an MCP-connected agent should use Memori tools for targeted recall, summaries, post-compaction briefs, durable memory augmentation, quota checks, signup, feedback, preferences, prior context, or cross-session continuity.
日本語の概要は準備中です。原文の説明を表示しています。
Use when working with WizTelemetry Logging extension for KubeSphere, including installation, configuration, and log query API
日本語の概要は準備中です。原文の説明を表示しています。
Use when working with WizTelemetry Tracing extension for KubeSphere, including installation, configuration, and tracing query API
日本語の概要は準備中です。原文の説明を表示しています。
Operate FrontendIntegration resources and the frontend-forge extension. Use when Codex needs to create a FrontendIntegration from FrontendIntegration YAML, update or patch FI lifecycle state, inspect or troubleshoot FI build output, or create, enable, disable, uninstall, and inspect the frontend-forge extension through its InstallPlan and extension resources.
日本語の概要は準備中です。原文の説明を表示しています。
Operate the KubeSphere network extension. Use when Codex needs to install, upgrade, configure, enable, disable, or inspect the `network` extension; manage Calico `IPPool` resources, namespace bindings, migrations, or network isolation flows; or consult the bundled network extension references in this skill.
日本語の概要は準備中です。原文の説明を表示しています。
Use when managing credentials in KubeSphere DevOps, including repository credentials, kubeconfig, and API tokens
日本語の概要は準備中です。原文の説明を表示しています。
Generate canonical FrontendIntegration YAML from a simplified single-menu authoring model for frontend-forge.
日本語の概要は準備中です。原文の説明を表示しています。
KubeSphere central controller Skill. Routes to specific Skills based on user requests: multi-cluster management (kubesphere-cluster-management), multi-tenant management (kubesphere-multi-tenant-management), extension management (kubesphere-extension-management). Also provides core architecture, API routing, and API utilities.
日本語の概要は準備中です。原文の説明を表示しています。
Operate FrontendExtension (FE) resources in frontend-forge: create, update, rebuild, inspect package artifacts, download packages, publish, unpublish, delete, and debug package/publish controller behavior. Use this skill whenever the user mentions FE operations, FrontendExtension lifecycle, extension package/download/publish/unpublish, artifact ConfigMaps, package Jobs, publisher Jobs, publish target ConfigMaps or Secrets, rebuild-token, package-state/publish-state labels, or troubleshooting FE status in a Kubernetes cluster.
日本語の概要は準備中です。原文の説明を表示しています。
Use when working with WizTelemetry Events extension for KubeSphere, including installation, configuration, and event query API
日本語の概要は準備中です。原文の説明を表示しています。
KubeSphere Gateway API extension management Skill (Traefik based, uses Kubernetes Gateway API + GatewayProxy CRD gatewayapi.kubesphere.io/v1alpha1). This is the newer Kubernetes Gateway API standard. For the older Ingress API based gateway (ingress-nginx + Gateway CRD gateway.kubesphere.io/v2alpha2), see the kubesphere-gateway skill instead. Covers installation, uninstallation, status checks, GatewayProxy status inspection, and troubleshooting.
日本語の概要は準備中です。原文の説明を表示しています。
KubeSphere Volcano job management Skill. Use when user asks to create, list, update, delete Jobs (Volcano Jobs), manage Queues, create PyTorch/TensorFlow/MPI training jobs, or troubleshoot Volcano scheduling issues in KubeSphere. Includes built-in YAML templates, scheduling policy recommendations, and best practices for resource configuration. Handles both KubeSphere API and kubectl operations.
日本語の概要は準備中です。原文の説明を表示しています。
Debug LangChain and LangGraph agents by fetching execution traces from LangSmith Studio. Use when debugging agent behavior, investigating errors, analyzing tool calls, checking memory operations, or examining agent performance. Automatically fetches recent traces and analyzes execution patterns. Requires langsmith-fetch CLI installed.
日本語の概要は準備中です。原文の説明を表示しています。