Agent skill

External Cannbot Ops Ops Profiling

by ascend-ai-coding in ascend-ai-coding/awesome-ascend-skills

NPU 性能采集与分析,用于采集算子性能数据、定位性能瓶颈并给出优化建议。当用户在算子开发过程中提到"上板性能"、"算子性能测试"、"硬件性能验证"、"NPU性能采集"、"NPU profiling"等场景时触发。

No licenceAuto-check passed

Install External Cannbot Ops Ops Profiling

skills CLI
$ npx skills add ascend-ai-coding/awesome-ascend-skills --skill external-cannbot-ops-ops-profiling -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install ascend-ai-coding/awesome-ascend-skills external-cannbot-ops-ops-profiling --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/ascend-ai-coding/awesome-ascend-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/external/cannbot/ops/ops-profiling .claude/skills/external-cannbot-ops-ops-profiling && rm -rf skills-src

Use ~/.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/

Facts

Skill name
external-cannbot-ops-ops-profiling
GitHub stars
174
Token cost
~2k tokens
SKILL.md length
522 words
Files
4 (incl. scripts, references)
Skills in repo
70
Repo updated
First seen
Licence
None found

At a glance

NPU 性能采集与分析,用于采集算子性能数据、定位性能瓶颈并给出优化建议。当用户在算子开发过程中提到"上板性能"、"算子性能测试"、"硬件性能验证"、"NPU性能采集"、"NPU profiling"等场景时触发。

  • Works in 6 steps: 构建算子 → msprof op 采集 → 归档数据 + 生成统计摘要 → …
  • SKILL.md covers 适用场景, 工作流, 数据目录结构 and 上板 vs 仿真选择, plus 2 more sections
  • Runs Python scripts from its folder; calls bash, cmake and make

What it does

External Cannbot Ops Ops Profiling is an agent skill from ascend-ai-coding/awesome-ascend-skills. NPU 性能采集与分析,用于采集算子性能数据、定位性能瓶颈并给出优化建议。当用户在算子开发过程中提到"上板性能"、"算子性能测试"、"硬件性能验证"、"NPU性能采集"、"NPU profiling"等场景时触发。

Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts and reference files (for example `references/csv_fields_reference.md`, `references/optimization_quickref.md` and `scripts/perf_summary.py`).

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/.

Example prompts

  • “算子性能测试”
  • “硬件性能验证”
  • “NPU性能采集”
  • “/external-cannbot-ops-ops-profiling”

Requirements

  • Python 3

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. 构建算子
  2. msprof op 采集
  3. 归档数据 + 生成统计摘要
  4. 性能标准判定
  5. 瓶颈定位与优化
  6. 验证优化效果

What it can do on your machine

Read from SKILL.md and the folder at commit 62a4ecb. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • bash
    • cmake
    • make
    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

External Cannbot Ops Ops Profiling loads about 2k tokens when it runs, and up to ~6.7k if it reads all its reference files. Until then it costs about 36 tokens; SKILL.md has 522 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~36
When it runs · the whole SKILL.md, loaded when a task matches
~2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~6.7k

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.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

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.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 522 words (~1,957 tokens).

“在真实 NPU 上采集算子性能数据,系统化解读 8 个 CSV 指标文件,判定性能是否达标,定位瓶颈类型,并给出可操作的优化建议。”

— opening of SKILL.md by ascend-ai-coding
name
external-cannbot-ops-ops-profiling
original-name
ops-profiling
synced-from
https://gitcode.com/cann/cannbot-skills
synced-date
2026-05-26
synced-commit
ac5bbd2b4cf427d011874e11f8d1e8b1bef66eda
license
UNKNOWN

Read the full SKILL.md on GitHub

Files

SKILL.md and 3 other files (scripts, references) in external/cannbot/ops/ops-profiling of ascend-ai-coding/awesome-ascend-skills.

  • SKILL.md
  • references/csv_fields_reference.md
  • references/optimization_quickref.md
  • scripts/perf_summary.py

Open the folder on GitHubat commit 62a4ecb

Compare with similar skills

External Cannbot Ops Ops Profiling 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.

External Cannbot Ops Ops Profiling compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
External Cannbot Ops Ops Profiling this skillascend-ai-coding/awesome-ascend-skills174—~2kAutomated safety check: PassNone
Profileccusage/ccusage19k—~430Automated safety check: PassCustom licence
Cpu ProfileClickHouse/ClickHouse50k—~1.9kAutomated safety check: NotesApache-2.0
Codex Profilessickn33/agentic-awesome-skills47k1 repos~1.7kAutomated safety check: PassMIT
External Linksthedaviddias/Front-End-Checklist74k—~773Automated safety check: PassMIT
Collectors Snmp Profilesnetdata/netdata81k—~3.1kAutomated safety check: PassGPL-3.0

Similar skills

  • Profile

    ccusage/ccusage

    Profiles ccusage performance. An agent skill from ccusage/ccusage.

    19k GitHub stars~430 tokensUpdated today
    Auto-check passed
  • Cpu Profile

    ClickHouse/ClickHouse

    Profile a ClickHouse query using the sampling query profiler and system.tracelog.

    50k GitHub stars~1.9k tokensUpdated today
    DatabasesAuto-check: notes
  • Codex Profiles

    sickn33/agentic-awesome-skills

    Use codex-profiles to run Codex CLI or Codex Desktop with isolated CODEXHOME profiles for separate accounts, projects, and local state.

    47k GitHub starsUsed in 1 repo~1.7k tokens
    Auto-check passed
  • External Links

    thedaviddias/Front-End-Checklist

    A skill your agent uses when auditing content pages for citation quality, suggesting authoritative sources to link for factual claims, or reviewing whether a page's external link attributes…

    74k GitHub stars~773 tokensUpdated yesterday
    Research & ScienceAuto-check passed
  • Author or review Netdata SNMP polling profiles, ddsnmp parsing, topology/licensing/BGP rows and profile-format documentation.

    81k GitHub stars~3.1k tokensUpdated today
    Frontend & DesignAuto-check passed
  • Alloc Profile

    ClickHouse/ClickHouse

    Analyze a jemalloc (or other) allocation profile in collapsed stack format.

    50k GitHub stars~4.3k tokensUpdated today
    DatabasesAuto-check passed

More from ascend-ai-coding/awesome-ascend-skills

All 70 skills in this repo
  • Ascend Dmi

    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…

    174 GitHub stars~1.7k tokensUpdated today
    Auto-check passed
  • Ascendc

    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.

    174 GitHub stars~3.5k tokensUpdated today
    Auto-check passed
  • Atc Model Converter

    ascend-ai-coding/awesome-ascend-skills

    Complete toolkit for Huawei Ascend NPU model conversion and end-to-end inference adaptation.

    174 GitHub stars~4.6k tokensUpdated today
    Auto-check passed
  • External Cannbot Ops Pypto Op Develop

    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。

    174 GitHub stars~2.1k tokensUpdated today
    Auto-check passed
  • External Gitcode Ascend Megatron Change Analyzer

    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.

    174 GitHub stars~1.2k tokensUpdated today
    Auto-check passed
  • External Gitcode Ascend Megatron Commit Tracker

    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.

    174 GitHub stars~1.1k tokensUpdated today
    Auto-check passed

Questions about External Cannbot Ops Ops Profiling

What does External Cannbot Ops Ops Profiling do?

NPU 性能采集与分析,用于采集算子性能数据、定位性能瓶颈并给出优化建议。当用户在算子开发过程中提到"上板性能"、"算子性能测试"、"硬件性能验证"、"NPU性能采集"、"NPU profiling"等场景时触发。. External Cannbot Ops Ops Profiling is an agent skill from ascend-ai-coding/awesome-ascend-skills.

How do I install External Cannbot Ops Ops Profiling in Claude Code?

Run `npx skills add ascend-ai-coding/awesome-ascend-skills --skill external-cannbot-ops-ops-profiling -a claude-code`. Or copy the skill folder (external/cannbot/ops/ops-profiling in ascend-ai-coding/awesome-ascend-skills) into .claude/skills/external-cannbot-ops-ops-profiling in your project. Claude Code loads it when a task matches its description.

How do I install External Cannbot Ops Ops Profiling in Codex?

Run `npx skills add ascend-ai-coding/awesome-ascend-skills --skill external-cannbot-ops-ops-profiling -a codex`. Or copy the skill folder (external/cannbot/ops/ops-profiling in ascend-ai-coding/awesome-ascend-skills) into .agents/skills/external-cannbot-ops-ops-profiling in your project. Codex loads it when a task matches its description.

Can I use External Cannbot Ops Ops Profiling in Cursor, Gemini CLI or GitHub Copilot?

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 external-cannbot-ops-ops-profiling -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/external-cannbot-ops-ops-profiling, .gemini/skills/external-cannbot-ops-ops-profiling, .github/skills/external-cannbot-ops-ops-profiling and .opencode/skills/external-cannbot-ops-ops-profiling in your project.

What does External Cannbot Ops Ops Profiling need to run?

Going by SKILL.md and its folder, External Cannbot Ops Ops Profiling needs Python for the scripts in its folder and the command-line tools its instructions call (bash, cmake, make and python3). Our summary lists: Python 3.

Does External Cannbot Ops Ops Profiling access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is External Cannbot Ops Ops Profiling safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does External Cannbot Ops Ops Profiling use?

No licence was found for External Cannbot Ops Ops Profiling or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does External Cannbot Ops Ops Profiling use?

About 2k tokens (SKILL.md is roughly 7.8k 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 4.7k tokens, read only when the agent opens those files.

What are the alternatives to External Cannbot Ops Ops Profiling?

Skills that share tags, products or a category with External Cannbot Ops Ops Profiling: Profile (ccusage/ccusage, 19k stars), Cpu Profile (ClickHouse/ClickHouse, 50k stars), Codex Profiles (sickn33/agentic-awesome-skills, 47k stars) and External Links (thedaviddias/Front-End-Checklist, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains External Cannbot Ops Ops Profiling?

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.