code-navigation
LMDeploy codebase directory map for fast orientation.
LMDeploy codebase directory map for fast orientation.
针对 Kimi Code CLI 的新增或变更功能,规划并执行可重复的端到端冒烟测试。从 git diff 推断功能边界,读取相关文档和代码,设计测试 prompt,以 --print 非交互模式运行本地 CLI,检查进程退出码和 session 产物,总结预期与实际行为之间的差异。发现问题时自动启动多路并行探查以定位根因。
Audit all git worktrees in the current project. Use when the user asks about worktree status, which branches are merged, which have uncommitted changes, or which worktrees can be safely cleaned up.
Reply to inline PR review comments on GitHub pull requests using the GitHub API. Use this skill when you need to respond to individual review comments on a PR, acknowledge feedback, or mark comments as resolved by posting direct replies to comment threads.
Check deployment status, view pipeline progress, and debug build failures. Combines GitHub Deployments API (public status) with Tekton Dashboard API (authenticated logs). No cluster access required.
Triage a GitHub issue — classify priority (P0/P1/P2), search for duplicates, and apply labels.
Manage context-mode GitHub issues, PRs, releases, and marketing with parallel subagent army. Orchestrates 10-20 dynamic agents per task. Use when triaging issues, reviewing PRs, releasing versions, writing LinkedIn posts, announcing releases, fixing bugs, merging contributions, validating ENV vars, testing adapters, or syncing branches.
Update context-mode from GitHub and fix hooks/settings. Pulls latest, builds, installs, updates npm global, configures hooks. Trigger: /context-mode:ctx-upgrade
Serverless GPU cloud platform for running ML workloads. Use when you need on-demand GPU access without infrastructure management, deploying ML models as APIs, or running batch jobs with automatic scaling.
Evaluates NVIDIA Cosmos Policy on LIBERO and RoboCasa simulation environments. Use when setting up cosmos-policy for robot manipulation evaluation, running headless GPU evaluations with EGL rendering, or profiling inference latency on cluster or local GPU machines.
Help create a well-formatted git commit message following Canvas LMS conventions