Writing Livekit Scenarios
livekit-examples/agent-starter-python
Creates and maintains the scenarios a LiveKit agent simulation runs, and wires the agent to consume them.
HCCL (Huawei Collective Communication Library) performance testing for Ascend NPU clusters.
The automated check flagged lines worth reading first. See the safety section below.
$ npx skills add ascend-ai-coding/awesome-ascend-skills --skill hccl-test -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ascend-ai-coding/awesome-ascend-skills hccl-test --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/ascend-ai-coding/awesome-ascend-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/training/hccl-test .claude/skills/hccl-test && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "hccl-test" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/training/hccl-test into .claude/skills/hccl-test/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hccl-test", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/training/hccl-testType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add ascend-ai-coding/awesome-ascend-skills --skill hccl-test -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ascend-ai-coding/awesome-ascend-skills hccl-test --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ascend-ai-coding/awesome-ascend-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/training/hccl-test .agents/skills/hccl-test && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "hccl-test" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/training/hccl-test into .agents/skills/hccl-test/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hccl-test", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ascend-ai-coding/awesome-ascend-skills --skill hccl-test -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ascend-ai-coding/awesome-ascend-skills hccl-test --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ascend-ai-coding/awesome-ascend-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/training/hccl-test .cursor/skills/hccl-test && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "hccl-test" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/training/hccl-test into .cursor/skills/hccl-test/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hccl-test", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/ascend-ai-coding/awesome-ascend-skills.git --path skills/training/hccl-test--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add ascend-ai-coding/awesome-ascend-skills --skill hccl-test -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ascend-ai-coding/awesome-ascend-skills hccl-test --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ascend-ai-coding/awesome-ascend-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/training/hccl-test .gemini/skills/hccl-test && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "hccl-test" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/training/hccl-test into .gemini/skills/hccl-test/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hccl-test", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install ascend-ai-coding/awesome-ascend-skills hccl-testInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add ascend-ai-coding/awesome-ascend-skills --skill hccl-test -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ascend-ai-coding/awesome-ascend-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/training/hccl-test .github/skills/hccl-test && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "hccl-test" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/training/hccl-test into .github/skills/hccl-test/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hccl-test", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ascend-ai-coding/awesome-ascend-skills --skill hccl-test -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ascend-ai-coding/awesome-ascend-skills hccl-test --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ascend-ai-coding/awesome-ascend-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/training/hccl-test .opencode/skills/hccl-test && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "hccl-test" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/training/hccl-test into .opencode/skills/hccl-test/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hccl-test", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
hccl-testHCCL (Huawei Collective Communication Library) performance testing for Ascend NPU clusters.
Hccl Test is an agent skill from ascend-ai-coding/awesome-ascend-skills. HCCL (Huawei Collective Communication Library) performance testing for Ascend NPU clusters. Use for testing distributed communication bandwidth, verifying HCCL functionality, and benchmarking collective operations like AllReduce, AllGather. Covers MPI installation, multi-node pre-flight checks (SSH/CANN version/NPU health), and production testing workflows.
Its SKILL.md is about 2.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 13 other files, including scripts and reference files (for example `references/common-issues.md`, `references/docker-notes.md` and `references/parameters.md`).
It sits in Testing & QA, covering Load testing. The repository describes itself as: A comprehensive knowledge base for Huawei Ascend NPU development, structured as distributed Agent Skills. https://ascend-ai-coding.github.io/awesome-ascend-skills/.
9 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 62a4ecb. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 6 files in scripts/ (Shell and Python), which the agent can run.
Shell commands in SKILL.md call:
makesshFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
hiascend.commpich.orgFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Hccl Test loads about 2.2k tokens when it runs, and up to ~9.2k if it reads all its reference files. Until then it costs about 92 tokens; SKILL.md has 472 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found patterns that need a careful read before installing.
ssh-copy-id -i ~/.ssh/id_rsa.pub root@<node1_ip>ssh-copy-id -i ~/.ssh/id_rsa.pub root@<node2_ip>Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
Without a licence we can't republish the file, so here is its outline and opening line. It has 472 words (~2,196 tokens).
SKILL.md and 11 other files (scripts, references) in skills/training/hccl-test of ascend-ai-coding/awesome-ascend-skills.
Open the folder on GitHubat commit 62a4ecb
Hccl Test next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Hccl Test this skillascend-ai-coding/awesome-ascend-skills | 174 | — | ~2.2k | Automated safety check: Warn | None | |
| Writing Livekit Scenarioslivekit-examples/agent-starter-python | 264 | 1 repos | ~2.5k | Automated safety check: Pass | MIT | |
| Go Testingcxuu/golang-skills | 170 | 1 repos | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| Goalcraftgrp06/goalcraft | 102 | — | ~3.8k | Automated safety check: Pass | MIT | |
| Thinking Partnermattnowdev/thinking-partner | 206 | — | ~4.4k | Automated safety check: Pass | MIT | |
| Visionkunchenguid/vision | 329 | — | ~2.9k | Automated safety check: Pass | MIT |
livekit-examples/agent-starter-python
Creates and maintains the scenarios a LiveKit agent simulation runs, and wires the agent to consume them.
cxuu/golang-skills
A skill your agent uses when writing, reviewing, or improving Go test code — including table-driven tests, subtests, parallel tests, test helpers, test doubles, and assertions with cmp.Diff.
grp06/goalcraft
Turn a rough draft, vague ambition, or messy task brief into a powerful Codex /goal objective for persistent, evidence-checked work.
mattnowdev/thinking-partner
A deterministic thinking partner that challenges assumptions and applies mental models to sharpen decisions, solve problems, and think more clearly.
kunchenguid/vision
Draft and stress-test a VISION.md for a repository, then iterate with the author on an interactive review board until approved.
owenHochwald/volt
Safely exercise and evaluate HTTP APIs with the Volt CLI, including authenticated requests, JSON bodies, staged load, machine-readable results, performance baselines, and before/after comparisons.
ascend-ai-coding/awesome-ascend-skills
当用户需要对华为昇腾 NPU 进行硬件层面的管理、测试或诊断时使用此 skill。典型场景: - 查看 NPU 卡的状态、温度、利用率 - 测试内存带宽(h2d/d2h/d2d/p2p) - 跑算力/功耗基准测试(TFLOPS、TOPS) - 诊断 NPU 硬件故障或做健康检查 - 对 NPU 卡做压力测试(aicore、内存) - 复位/恢复卡住或异常的 NPU 卡 典型用户问题(即使不提…
ascend-ai-coding/awesome-ascend-skills
End-to-end AscendC custom operator development for Ascend NPU in an ascend-kernel (csrc/ops + build.sh + torchnpu PyTorch custom op) project.
ascend-ai-coding/awesome-ascend-skills
Complete toolkit for Huawei Ascend NPU model conversion and end-to-end inference adaptation.
ascend-ai-coding/awesome-ascend-skills
当需要编写 PyPTO 算子实现时使用此 skill。基于需求规格、设计方案和参考实现,生成完整可运行的 PyPTO 算子实现与配套测试、文档。Triggers: 实现算子、写 kernel、编写实现、写 impl、算子编码、开始编码、code the op、写 test、生成测试、写实现代码、op develop、kernel 实现。
ascend-ai-coding/awesome-ascend-skills
Analyze official Megatron-LM commits, PRs, and branch change sets to identify feature evolution, candidate breaking changes, and migration-relevant events.
ascend-ai-coding/awesome-ascend-skills
Track and normalize change requests against the official Megatron-LM repository by branch, PR, commit, commit range, or time window.
Categories
HCCL (Huawei Collective Communication Library) performance testing for Ascend NPU clusters. Hccl Test is an agent skill from ascend-ai-coding/awesome-ascend-skills. HCCL (Huawei Collective Communication Library) performance testing for Ascend NPU clusters.
Hccl Test fits situations like: testing distributed communication bandwidth; verifying HCCL functionality; benchmarking collective operations like AllReduce.
Run `npx skills add ascend-ai-coding/awesome-ascend-skills --skill hccl-test -a claude-code`. Or copy the skill folder (skills/training/hccl-test in ascend-ai-coding/awesome-ascend-skills) into .claude/skills/hccl-test in your project. Claude Code loads it when a task matches its description.
Run `npx skills add ascend-ai-coding/awesome-ascend-skills --skill hccl-test -a codex`. Or copy the skill folder (skills/training/hccl-test in ascend-ai-coding/awesome-ascend-skills) into .agents/skills/hccl-test in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ascend-ai-coding/awesome-ascend-skills --skill hccl-test -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/hccl-test, .gemini/skills/hccl-test, .github/skills/hccl-test and .opencode/skills/hccl-test in your project.
Going by SKILL.md and its folder, Hccl Test needs a shell and Python for the scripts in its folder and the command-line tools its instructions call (make and ssh). Our summary lists: Python 3; A Bash shell; Docker.
SKILL.md names 2 domains. As links in the text: hiascend.com and mpich.org. This is read from the text; nothing was executed.
Our automated static check of SKILL.md flagged 2 warning(s): mentions a credentials file (ssh keys, cloud or package-manager tokens). Read the flagged lines before installing; the check is not a guarantee either way. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
No licence was found for Hccl Test or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 2.2k tokens (SKILL.md is roughly 8.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 7k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Hccl Test: Writing Livekit Scenarios (livekit-examples/agent-starter-python, 264 stars), Go Testing (cxuu/golang-skills, 170 stars), Goalcraft (grp06/goalcraft, 102 stars) and Thinking Partner (mattnowdev/thinking-partner, 206 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
ascend-ai-coding (a GitHub organization) maintains it in ascend-ai-coding/awesome-ascend-skills, which has 174 GitHub stars. The repository holds 70 skills in this directory. The repository was last updated on October 8, 2026.
Source: ascend-ai-coding/awesome-ascend-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.