Agent skill

Profiling Analysis Communication

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

Skill for analyzing communication performance bottlenecks and detecting slow/fast rank issues in Ascend NPU systems.

No licenceAuto-check passed

Install Profiling Analysis Communication

skills CLI
$ npx skills add ascend-ai-coding/awesome-ascend-skills --skill profiling-analysis-communication -a claude-code

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

GitHub CLI
$ gh skill install ascend-ai-coding/awesome-ascend-skills profiling-analysis-communication --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/skills/profiling/profiling-analysis/profiling-analysis-communication .claude/skills/profiling-analysis-communication && 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
profiling-analysis-communication
GitHub stars
174
Token cost
~590 tokens
SKILL.md length
105 words
Files
4 (incl. scripts)
Skills in repo
70
Repo updated
First seen
Licence
None found

At a glance

Skill for analyzing communication performance bottlenecks and detecting slow/fast rank issues in Ascend NPU systems.

  • Works in 4 steps: 通信算子异常分析 → 快慢卡检测 → 由主分析Skill自动调用 → …
  • You need to analyze communication efficiency
  • SKILL.md covers 功能概述, 支持的数据格式, 功能模块说明 and 使用方式, plus 3 more sections
  • Runs Python scripts from its folder

What it does

Profiling Analysis Communication is an agent skill from ascend-ai-coding/awesome-ascend-skills. Skill for analyzing communication performance bottlenecks and detecting slow/fast rank issues in Ascend NPU systems. Use this skill whenever you need to analyze communication efficiency, data transfer bottlenecks, or identify slow/fast rank problems using profiling data.

Its SKILL.md is about 590 tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts (for example `reference/communication-operator-analysis.md`, `reference/slow-rank-detection.md` and `scripts/detect_slow_rank.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/.

When your agent uses it

  • You need to analyze communication efficiency
  • Data transfer bottlenecks
  • Identify slow/fast rank problems using profiling data

Example prompts

  • “/profiling-analysis-communication”

Requirements

  • Python 3

Workflow steps

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

  1. 通信算子异常分析
  2. 快慢卡检测
  3. 由主分析Skill自动调用
  4. 单独使用

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.

    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

Profiling Analysis Communication loads about 590 tokens when it runs. Until then it costs about 76 tokens; SKILL.md has 105 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~76
When it runs · the whole SKILL.md, loaded when a task matches
~590

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 105 words (~590 tokens).

name
profiling-analysis-communication

Read the full SKILL.md on GitHub

Files

SKILL.md and 3 other files (scripts) in skills/profiling/profiling-analysis/profiling-analysis-communication of ascend-ai-coding/awesome-ascend-skills.

  • SKILL.md
  • reference/communication-operator-analysis.md
  • reference/slow-rank-detection.md
  • scripts/detect_slow_rank.py

Open the folder on GitHubat commit 62a4ecb

Compare with similar skills

Profiling Analysis Communication 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.

Profiling Analysis Communication compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Profiling Analysis Communication this skillascend-ai-coding/awesome-ascend-skills174—~590Automated safety check: PassNone
Profiling Slow API EndpointsPostHog/posthog40k—~1kAutomated safety check: PassCustom licence
Analyzing Command And Control Communicationmukul975/Anthropic-Cybersecurity-Skills34k—~3.6kAutomated safety check: PassApache-2.0
Simulink Profiler Analyzerhashgraph-online/awesome-codex-plugins1.3k—~2.7kAutomated safety check: PassApache-2.0
Detecting Performance Bottlenecksjeremylongshore/tons-of-skills-marketplace2.8k—~895Automated safety check: PassMIT
Threat Detectionalirezarezvani/claude-skills28k—~3.5kAutomated safety check: PassMIT

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Questions about Profiling Analysis Communication

What does Profiling Analysis Communication do?

Skill for analyzing communication performance bottlenecks and detecting slow/fast rank issues in Ascend NPU systems. Profiling Analysis Communication is an agent skill from ascend-ai-coding/awesome-ascend-skills. Skill for analyzing communication performance bottlenecks and detecting slow/fast rank issues in Ascend NPU systems.

When should I use Profiling Analysis Communication?

Profiling Analysis Communication fits situations like: you need to analyze communication efficiency; data transfer bottlenecks; identify slow/fast rank problems using profiling data.

How do I install Profiling Analysis Communication in Claude Code?

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

How do I install Profiling Analysis Communication in Codex?

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

Can I use Profiling Analysis Communication 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 profiling-analysis-communication -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/profiling-analysis-communication, .gemini/skills/profiling-analysis-communication, .github/skills/profiling-analysis-communication and .opencode/skills/profiling-analysis-communication in your project.

What does Profiling Analysis Communication need to run?

Going by SKILL.md and its folder, Profiling Analysis Communication needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Profiling Analysis Communication 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 Profiling Analysis Communication 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 Profiling Analysis Communication use?

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

How many tokens does Profiling Analysis Communication use?

About 590 tokens (SKILL.md is roughly 2.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Profiling Analysis Communication?

Skills that share tags, products or a category with Profiling Analysis Communication: Profiling Slow API Endpoints (PostHog/posthog, 40k stars), Analyzing Command And Control Communication (mukul975/Anthropic-Cybersecurity-Skills, 34k stars), Simulink Profiler Analyzer (hashgraph-online/awesome-codex-plugins, 1.3k stars) and Detecting Performance Bottlenecks (jeremylongshore/tons-of-skills-marketplace, 2.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Profiling Analysis Communication?

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 9, 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.