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Import Skills

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QiandingHuang666 QiandingHuang666
from GitHub Tools & Productivity
  • 📁 evals/
  • 📁 references/
  • 📁 rust/
  • 📄 SKILL.md
slurm-client json connection_id

slurm-assistant

Slurm HPC 集群助手，为高校学生/教师定制。支持本地（集群上）和远程（集群外）两种使用模式。 TRIGGER 当用户： - 提到 slurm、sbatch、squeue、scancel、salloc、srun、sinfo 等 Slurm 命令 - 提到 hpc 集群、slurm 集群、超算、计算节点、作业调度系统 - 想要查看分区/节点状态、队列情况、GPU 可用性 - 需要提交/取消/查看作业 - 需要申请交互式资源或运行命令 - 需要生成或修改 slurm 作业脚本 - 需要上传/下载文件到 HPC 集群 - 需要连接公共集群、实例或本地集群节点 --- # Slurm 集群助手 跨平台 Slurm HPC 集群管理工具，采用 `server + client + skill` 架构。 --- ## 最小执行协议 ### Step 0：优先使用 Rust 使用： ```bash slurm-client --help ``` 禁止把 Python CLI 当作默认入口。当前 skill 的主链路只应使用 Rust server/client。 若直接执行 `slurm-client` 出现“找不到命令”，立刻改为显式路径重试（例如 `~/.local/bin/slurm-client`），不要继续盲跑后续命令。 ### Step 1：先看本机 server 每次会话开始先执行： ```bash slurm-client server ensure --json ``` ### Step 2：检查连接 ```bash slurm-client connection list --json ``` 然后快速检查现有会话（优先复用活跃会话）： ```bash slurm-client session summary --json ``` 分流： - 没有连接：读 `references/workflow_init.md` - 一个连接：直接记录其 `connection_id` - 多个连接：按用户意图选 `cluster`、`instance` 或 `local` - 若存在 `resource-node` 连接，先查看其 `health_state`，优先复用 `online` 状态连接 ### Step 3：按 6 类任务执行 1. 资源查看 ```bash slurm-client status --connection <connection_id> --gpu --json slurm-client find-gpu --connection <connection_id> --json slurm-client partition-info --connection <connection_id> --json ``` 2. 作业管理 ```bash slurm-client jobs --connection <connection_id> --json slurm-client submit --connection <connection_id> <script> --json slurm-client log <job_id> --connection <connection_id> --json slurm-client cancel <job_id> --connection <connection_id> --json slurm-client alloc --connection <connection_id> -p <partition> --json slurm-client run --connection <connection_id> <command>... --json ``` `alloc` 执行规则（必须遵循）： - 用户明确要“现在申请/直接申请/申请这张卡”时，必须使用 `--execute` - 禁止只返回 `salloc` 规划命令后让用户手动执行 - 只有在用户明确要求“先看命令不执行”时，才允许不加 `--execute` - 用户提到“抢占xx / 抢占显卡 / 抢占 A100”时，默认解释为：`alloc --preempt --execute` - `--preempt` 模式会自动使用 tmux 运行 `salloc` 并在分配后 `sleep infinity` 保活，避免会话断开导致资源被释放 3. 文件传输 ```bash slurm-client upload <local> <remote> --connection <connection_id> --json slurm-client download <remote> <local> --

⬇0 ❤5 3 days ago · Uploaded Detail →

Skill File Structure Sample (Reference)

skill-sample/
├─ SKILL.md              ⭐ Required: skill entry doc (purpose / usage / examples / deps)
├─ manifest.sample.json  ⭐ Recommended: machine-readable metadata (index / validation / autofill)
├─ LICENSE.sample        ⭐ Recommended: license & scope (open source / restriction / commercial)
├─ scripts/
│  └─ example-run.py     ✅ Runnable example script for quick verification
├─ assets/
│  ├─ example-formatting-guide.md  🧩 Output conventions: layout / structure / style
│  └─ example-template.tex         🧩 Templates: quickly generate standardized output
└─ references/           🧩 Knowledge base: methods / guides / best practices
   ├─ example-ref-structure.md     🧩 Structure reference
   ├─ example-ref-analysis.md      🧩 Analysis reference
   └─ example-ref-visuals.md       🧩 Visual reference

More Agent Skills specs Anthropic docs: https://agentskills.io/home

SKILL.md Requirements

├─ ⭐ Required: YAML Frontmatter (must be at top)
│  ├─ ⭐ name                 : unique skill name, follow naming convention
│  └─ ⭐ description          : include trigger keywords for matching
│
├─ ✅ Optional: Frontmatter extension fields
│  ├─ ✅ license              : license identifier
│  ├─ ✅ compatibility        : runtime constraints when needed
│  ├─ ✅ metadata             : key-value fields (author/version/source_url...)
│  └─ 🧩 allowed-tools        : tool whitelist (experimental)
│
└─ ✅ Recommended: Markdown body (progressive disclosure)
   ├─ ✅ Overview / Purpose
   ├─ ✅ When to use
   ├─ ✅ Step-by-step
   ├─ ✅ Inputs / Outputs
   ├─ ✅ Examples
   ├─ 🧩 Files & References
   ├─ 🧩 Edge cases
   ├─ 🧩 Troubleshooting
   └─ 🧩 Safety notes

Why SkillWink?

Skill files are scattered across GitHub and communities, difficult to search, and hard to evaluate. SkillWink organizes open-source skills into a searchable, filterable library you can directly download and use.

We provide keyword search, version updates, multi-metric ranking (downloads / likes / comments / updates), and open SKILL.md standards. You can also discuss usage and improvements on skill detail pages.

Keyword Search Version Updates Multi-Metric Ranking Open Standard Discussion

Quick Start:

Import/download skills (.zip/.skill), then place locally:

~/.claude/skills/ (Claude Code)

~/.codex/skills/ (Codex CLI)

One SKILL.md can be reused across tools.

FAQ

Everything you need to know: what skills are, how they work, how to find/import them, and how to contribute.

1. What are Agent Skills?

A skill is a reusable capability package, usually including SKILL.md (purpose/IO/how-to) and optional scripts/templates/examples.

Think of it as a plugin playbook + resource bundle for AI assistants/toolchains.

2. How do Skills work?

Skills use progressive disclosure: load brief metadata first, load full docs only when needed, then execute by guidance.

This keeps agents lightweight while preserving enough context for complex tasks.

3. How can I quickly find the right skill?

Use these three together:

  • Semantic search: describe your goal in natural language.
  • Multi-filtering: category/tag/author/language/license.
  • Sort by downloads/likes/comments/updated to find higher-quality skills.

4. Which import methods are supported?

  • Upload archive: .zip / .skill (recommended)
  • Upload skills folder
  • Import from GitHub repository

Note: file size for all methods should be within 10MB.

5. How to use in Claude / Codex?

Typical paths (may vary by local setup):

  • Claude Code：~/.claude/skills/
  • Codex CLI：~/.codex/skills/

One SKILL.md can usually be reused across tools.

6. Can one skill be shared across tools?

Yes. Most skills are standardized docs + assets, so they can be reused where format is supported.

Example: retrieval + writing + automation scripts as one workflow.

7. Are these skills safe to use?

Some skills come from public GitHub repositories and some are uploaded by SkillWink creators. Always review code before installing and own your security decisions.

8. Why does it not work after import?

Most common reasons:

  • Wrong folder path or nested one level too deep
  • Invalid/incomplete SKILL.md fields or format
  • Dependencies missing (Python/Node/CLI)
  • Tool has not reloaded skills yet

9. Does SkillWink include duplicates/low-quality skills?

We try to avoid that. Use ranking + comments to surface better skills:

  • Duplicate skills: compare differences (speed/stability/focus)
  • Low quality skills: regularly cleaned up