Agent skill

Tilelang Pass Analyzer

by tile-ai in tile-ai/tilelang-ascend

TileLang Pass 功能分析与对比工具。触发条件:(1) 用户询问特定 pass 的功能、作用、原理、实现细节,关键词包括"XXpass是干什么的"、"介绍XXpass"、"XXpass的功能"、"XXpass怎么实现的"、"分析XXpass";(2) 对比两个 pass 的差异、联系;(3) 查询某类 pass 列表;(4) 模糊匹配 pass…

MITAuto-check passed

Install Tilelang Pass Analyzer

skills CLI
$ npx skills add tile-ai/tilelang-ascend --skill tilelang-pass-analyzer -a claude-code

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

GitHub CLI
$ gh skill install tile-ai/tilelang-ascend tilelang-pass-analyzer --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/tile-ai/tilelang-ascend.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/tilelang-pass-analyzer .claude/skills/tilelang-pass-analyzer && 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
tilelang-pass-analyzer
GitHub stars
402
Token cost
~1.7k tokens
SKILL.md length
285 words
Files
20 (incl. references)
Skills in repo
20
Repo updated
First seen
Licence
MIT

At a glance

TileLang Pass 功能分析与对比工具。触发条件:(1) 用户询问特定 pass 的功能、作用、原理、实现细节,关键词包括"XXpass是干什么的"、"介绍XXpass"、"XXpass的功能"、"XXpass怎么实现的"、"分析XXpass";(2) 对比两个 pass 的差异、联系;(3) 查询某类 pass 列表;(4) 模糊匹配 pass…

  • Works in 4 steps: 解析用户意图 → Pass 定位 → 代码分析(仅在用户追问深入时执行) → …
  • SKILL.md covers ⭐ 核心约束:分阶段信息获取, 核心工作流程, 伪代码编写规范 and IR 示例编写规范, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Tilelang Pass Analyzer is an agent skill from tile-ai/tilelang-ascend. TileLang Pass 功能分析与对比工具。触发条件:(1) 用户询问特定 pass 的功能、作用、原理、实现细节,关键词包括"XXpass是干什么的"、"介绍XXpass"、"XXpass的功能"、"XXpass怎么实现的"、"分析XXpass";(2) 对比两个 pass 的差异、联系;(3) 查询某类 pass 列表;(4) 模糊匹配 pass 名称。支持精确匹配和模糊匹配,返回由浅入深的 Markdown 分析报告,包含伪代码、IR 变换示例、代码位置等。

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 22 other files, including reference files (for example `T.pipelined.md`, `evals/evals.json` and `references/ir-examples.md`).

The repository describes itself as: Ascend TileLang adapter. The licence is MIT.

Example prompts

  • “XXpass是干什么的”
  • “介绍XXpass”
  • “XXpass的功能”
  • “/tilelang-pass-analyzer”

Requirements

  • Python 3

Workflow steps

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

  1. 解析用户意图
  2. Pass 定位
  3. 代码分析(仅在用户追问深入时执行)
  4. 报告生成

What it can do on your machine

Read from SKILL.md and the folder at commit 83b0ece. 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

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown and python).

    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

Tilelang Pass Analyzer loads about 1.7k tokens when it runs, and up to ~121k if it reads all its reference files. Until then it costs about 65 tokens; SKILL.md has 285 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~65
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~121k

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from tile-ai/tilelang-ascend at commit 83b0ece, republished under its MIT licence (© tile-ai). 285 words, ~1,696 tokens.

Download SKILL.mdSave it as .claude/skills/tilelang-pass-analyzer/SKILL.md (or your agent's skills folder). This skill also uses 19 other files; get the full folder from GitHub.
name
tilelang-pass-analyzer
description
TileLang Pass 功能分析与对比工具。触发条件:(1) 用户询问特定 pass 的功能、作用、原理、实现细节,关键词包括"XXpass是干什么的"、"介绍XXpass"、"XXpass的功能"、"XXpass怎么实现的"、"分析XXpass";(2) 对比两个 pass 的差异、联系;(3) 查询某类 pass 列表;(4) 模糊匹配 pass 名称。支持精确匹配和模糊匹配,返回由浅入深的 Markdown 分析报告,包含伪代码、IR 变换示例、代码位置等。

TileLang Pass 分析工具

⭐ 核心约束:分阶段信息获取

严格遵守以下信息获取优先级:

查询阶段信息来源工具使用
首次回答✅ 优先使用 reference 文件read(references/*.md)
用户追问深入细节✅ 读取源码补充read(src/transform/*.cc)

执行规则:

用户首次提问 Pass 功能
  ↓
1. 立即读取 reference 文件(pass-registry-*.md / pass-classification.md)
  ↓
2. 基于 reference 信息生成报告(足够回答 90% 的查询)
  ↓
3. 仅在用户追问"具体实现"、"源码细节"、"某个函数逻辑"时才读取源码

禁止行为:

  • ❌ 首次回答就读取 src/transform/*.cc 源码文件
  • ❌ 忽略 reference 文件中的已有信息
  • ❌ 过度深入分析辅助工具类(首次回答时)
  • ❌ 首次回答就并行读取 reference 和源码

核心工作流程

Step 1: 解析用户意图

根据用户输入判断查询类型:

意图类型关键词特征处理方式
单 Pass 分析"XX pass 是做什么的"、"分析 XX pass"、"XX 的功能"查 registry → 分析代码 → 生成报告
双 Pass 对比"XX 和 YY 的区别"、"对比 XX YY"、"XX YY 的差异"生成对比报告(每节对比)
双 Pass 联系"XX 和 YY 的联系"、"XX YY 的关系"、"XX YY 协作"生成联系报告(每节分析关系)
分类查询"XX 类的 pass"、"内存相关 pass"、"Ascend pass 有哪些"查 classification → 列表报告
模糊匹配"sync 相关"、"vector pass"、"那个插入同步的"搜索 → 返回候选列表

Step 2: Pass 定位

精确匹配:

1. 读取 references/pass-registry-ascend.md 或 pass-registry-general.md
2. 根据名称获取:C++ 文件路径、Python 函数名、配置键
3. 定位到具体文件

模糊匹配策略:

1. 提取用户输入的关键词(去除 pass、transform 等通用词)
2. 在 registry 中搜索名称包含关键词的所有 pass
3. 返回候选列表(最多 5 个):序号、名称、简述、分类
4. 提示用户选择序号或输入完整名称

分类查询:

1. 读取 references/pass-classification.md
2. 根据用户指定的分类(如"内存管理"、"同步"、"Ascend平台")返回列表
3. 按子分类组织输出

Step 3: 代码分析(仅在用户追问深入时执行)

⚠️ 重要:首次提问时跳过此步骤,仅使用 reference 文件信息。

仅在用户追问以下问题时才执行此步骤:

  • "某个函数的具体实现"
  • "源码中的某个细节"
  • "算法的具体逻辑"
  • "某个配置项的作用"

按以下顺序分析 Pass 实现:

1. Python API 层

  • 文件:tilelang/transform/__init__.py
  • 提取:函数签名、docstring、参数

2. C++ 实现层

  • 文件:src/transform/<pass_name>.cc
  • 提取:
    • 文件头注释 /*! \file ... */
    • 主类名(通常继承 IRMutatorWithAnalyzer、StmtExprVisitor 等)
    • 核心方法名(如 Substitute、VisitStmt、VisitExpr)
    • 注册宏 TVM_REGISTER_PASS_CONFIG_OPTION 或 TVM_REGISTER_GLOBAL

3. 配置层

  • 文件:tilelang/transform/pass_config.py
  • 提取:配置键名、默认值、描述

分析方法:

- 快速浏览文件头注释,理解 pass 目标
- 找到主类的 Substitute 或 VisitXxx 方法,理解核心逻辑
- 分析算法流程:遍历 → 匹配 → 变换 → 输出
- 查看 common/ 目录下的辅助工具类

Step 4: 报告生成

根据查询类型选择模板:

查询类型模板选择
单 Pass 分析使用【单 Pass 分析报告模板】
双 Pass 对比使用【双 Pass 对比报告模板】
双 Pass 联系使用【双 Pass 联系报告模板】
分类查询使用【分类查询报告模板】
模糊匹配使用【模糊匹配候选列表模板】

通用风格要求:

✅ 由浅入深:先一句话总结,再逐步展开细节
✅ 伪代码精简:不超过 10 行,每个关键步骤标注函数名和备注
✅ IR 示例清晰:简化结构,标注变化点
✅ 核心函数标识:指出函数名,不引用完整代码片段
✅ 伪 IR 说明:首次使用时标注"本示例为伪 IR",真实 TIR 格式见 ir-examples.md

伪代码编写规范

格式模板:

python
# 伪代码示例 (精简版)

输入: PrimFunc / IR Module
处理流程:
  1. 遍历 IR 结构 → VisitStmt()           # [备注: 深度优先遍历每个语句]
  2. 匹配目标模式 → MatchPattern()        # [备注: 检查是否为特定 op/buffer 类型]
  3. 执行变换操作 → TransformStmt()       # [备注: 生成新的 IR,保持语义等价]
输出: 变换后的 PrimFunc

# 关键点备注
- VisitStmt: 继承 IRMutatorWithAnalyzer,访问 Stmt 节点
- MatchPattern: 检查 buffer scope、op type 等属性
- TransformStmt: 根据规则生成新语句,可能涉及同步/地址映射等

编写规则:

  • 每个关键步骤标注对应的 C++ 函数名
  • 用 # [备注: ...] 说明该步骤的作用或决策依据
  • 总行数不超过 10 行
  • 输入/输出明确标注类型

IR 示例编写规范

参考 references/ir-examples.md 的格式。

基本格式:

**输入伪 IR:**
# 变换前状态(简要说明)
[简化 IR 结构]

**输出伪 IR:**
# 变换后状态(简要说明)
[简化 IR 结构,用 ← 标注变化点]

**变换要点:**
- [变化点1]
- [变化点2]

注意事项:

  • 首次使用伪 IR 时,添加说明:本示例为伪 IR 格式,真实 TIR 结构见 ir-examples.md
  • 只保留关键元素,不超过 10 行
  • 用 ← 标注新增/修改,用 # [备注] 添加说明

报告模板

以下模板用于生成不同类型的 Pass 分析报告。


模板一:单 Pass 分析报告
markdown
# [Pass名称] 功能分析报告

## 一句话总结
> [核心功能概括,不超过 30 字]

## 功能详解

### 1. 作用与目的
[解决的问题和必要性]

### 2. 工作原理
输入: PrimFunc → 遍历 IR → 匹配模式 → 执行变换 → 输出: PrimFunc
核心函数: [函数名1]、[函数名2]

### 3. IR 变换示例
变换前: [简化IR] → 变换后: [简化IR,←标注变化]
要点: [变化点1]、[变化点2]

### 4. 使用场景与触发条件
| 项目 | 说明 |
| 适用平台 | Ascend 专用 / 通用 |
| 启用配置 | `配置键` (默认值) |
| 触发时机 | 编译阶段 |

### 5. Pass 关系与工作流
如需了解本 Pass 在 Pipeline 中的位置、与其他 Pass 的依赖关系,请使用 **tilelang-pass-workflow-analyzer** skill。

## 代码位置
| 组件 | 路径 | 核心元素 |
| Python API | `路径` | `函数名()` |
| C++ 实现 | `路径` | `类名::方法` |
| 配置项 | `路径` | `配置键` |

模板二:双 Pass 对比报告
markdown
# [Pass1] 与 [Pass2] 对比分析报告

## 一句话总结
> [共同点和核心差异,不超过 40 字]

## 功能对比

### 1. 作用与目的对比
| 维度 | [Pass1] | [Pass2] |
| 核心目标 | [简述] | [简述] |
| 解决问题 | [简述] | [简述] |

### 2. 工作原理对比
| Pass | 输入 | 处理 | 输出 |
| [Pass1] | ... | [函数名] | ... |
| [Pass2] | ... | [函数名] | ... |
关键差异: [差异点1]、[差异点2]

### 3. IR 变换对比
| Pass | 变换前 | 变换后 |
| [Pass1] | [IR] | [IR,←变化] |
| [Pass2] | [IR] | [IR,←变化] |

### 4. 使用场景对比
| 维度 | [Pass1] | [Pass2] |
| 适用平台 | ... | ... |
| 启用配置 | `key1` | `key2` |

### 5. 关系分析
执行顺序: [PassA] → [PassB] (原因: ...)
数据依赖: [Pass1] 提供 [数据] → [Pass2]
协作方式: 共同完成 [目标]
冲突限制: [限制条件]

## 代码位置对比
| Pass | Python API | C++ 实现 | 配置项 |
| [Pass1] | `路径` | `路径` | `key1` |
| [Pass2] | `路径` | `路径` | `key2` |

模板三:双 Pass 联系报告
markdown
# [Pass1] 与 [Pass2] 关系分析报告

## 一句话总结
> [协作关系概括]

## 关系分析

### 1. 作用与目的的联系
共同目标: [共同服务的目标]
分工协作: [Pass1] 负责 [职责1],[Pass2] 负责 [职责2]

### 2. 工作原理的联系
数据流: [Pass1] → 输出: [数据] → [Pass2] 输入
依赖关系: [Pass1] 提供 [内容],[Pass2] 需要 [内容]

### 3. IR 变换联系
Pass1 输出: ... (提供给 Pass2) → Pass2 输入: ... (来自 Pass1)
整体效果: [组合后的效果]

### 4. 执行顺序与触发
执行顺序: ... → [Pass1] → ... → [Pass2] → ...
顺序原因: [必须按此顺序的原因]

### 5. 协作场景
典型场景: [具体协作场景]
协作效果: [对比单独使用的效果]

## 代码位置
| Pass | Python API | C++ 实现 | 配置项 |
| [Pass1] | `路径` | `路径` | `key1` |
| [Pass2] | `路径` | `路径` | `key2` |

模板四:分类查询报告
markdown
# Pass 分类查询报告:[分类名称]

## 分类概述
> [该类 Pass 的共同特征]

## Pass 列表

### [子分类1]
| Pass 名称 | 功能简述 | 配置项 |
| [Pass1] | [描述] | `配置键` |
| [Pass2] | [描述] | `配置键` |

### [子分类2]
...

## 典型使用场景
场景1: [描述] → 推荐组合: [PassA]+[PassB]

模板五:模糊匹配候选列表
markdown
# Pass 匹配结果

根据关键词 "**[用户输入]**" 找到以下候选 Pass:

| 序号 | Pass 名称 | 功能简述 | 所属分类 |
| 1 | [Pass1] | [描述] | [分类] |
| 2 | [Pass2] | [描述] | [分类] |
| 3 | [Pass3] | [描述] | [分类] |

请选择你想了解的 Pass(输入序号 1-3 或完整名称):

Reference 文件使用指南

本 skill 包含以下 reference 文件,按需查阅:

| 文件 | 用途 | 使用时机 | | pass-registry-ascend.md | Ascend Pass 名称→路径 | 精确匹配 Ascend pass | | pass-registry-general.md | 通用 Pass 名称→路径 | 精确匹配通用 pass | | pass-classification.md | Pass 分类索引 | 分类查询 | | ir-examples.md | IR 变换示例 | 编写 IR 示例 |


注意事项

  1. ⭐ 分阶段信息获取:首次回答只读 reference,追问细节才读源码
  2. 伪 IR 格式说明:首次使用时添加说明,后续无需重复
  3. 模糊匹配:最多返回 5 个候选,按相关性排序
  4. 双 Pass 报告:对比报告每节对比,联系报告每节分析关系
  5. 代码位置:尽量提供行号,核心元素指函数名、类名、配置键
  6. 分析深度:不深入分析辅助工具类,聚焦主类和核心方法
  7. Pass 工作流查询:
    • 当用户询问 Pass 执行顺序、依赖关系、Pipeline 架构时,引导使用 tilelang-pass-workflow-analyzer skill
    • 本 skill 专注于单个 Pass 的功能分析,不深入分析 Pass 之间的关系

© tile-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 19 other files (references) in .agents/skills/tilelang-pass-analyzer of tile-ai/tilelang-ascend.

  • SKILL.md
  • T.pipelined.md
  • evals/evals.json
  • image.png
  • references/ir-examples.md
  • references/pass-classification.md
  • references/pass-designs/ascend_infer_buffer_scope_design.md
  • references/pass-designs/ascend_lower_parallel_to_vector_design.md
  • references/pass-designs/ascend_memory_planning_technical_doc.md
  • references/pass-designs/ascend_storage_rewrite_design.md
  • references/pass-designs/ascend_sync_insert_technical_doc.md
  • references/pass-designs/cross_core_pipeline_design.md
  • references/pass-designs/design_ascend_combinecv.md
  • references/pass-designs/image-1.png
  • references/pass-designs/image-2.png
  • references/pass-designs/image-3.png
  • references/pass-designs/image-4.png
  • references/pass-designs/pipeline_planning & inject_pipeline_design.md
  • … and 2 more

Open the folder on GitHubat commit 83b0ece

Compare with similar skills

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Questions about Tilelang Pass Analyzer

What does Tilelang Pass Analyzer do?

TileLang Pass 功能分析与对比工具。触发条件:(1) 用户询问特定 pass 的功能、作用、原理、实现细节,关键词包括"XXpass是干什么的"、"介绍XXpass"、"XXpass的功能"、"XXpass怎么实现的"、"分析XXpass";(2) 对比两个 pass 的差异、联系;(3) 查询某类 pass 列表;(4) 模糊匹配 pass…. Tilelang Pass Analyzer is an agent skill from tile-ai/tilelang-ascend.

How do I install Tilelang Pass Analyzer in Claude Code?

Run `npx skills add tile-ai/tilelang-ascend --skill tilelang-pass-analyzer -a claude-code`. Or copy the skill folder (.agents/skills/tilelang-pass-analyzer in tile-ai/tilelang-ascend) into .claude/skills/tilelang-pass-analyzer in your project. Claude Code loads it when a task matches its description.

How do I install Tilelang Pass Analyzer in Codex?

Run `npx skills add tile-ai/tilelang-ascend --skill tilelang-pass-analyzer -a codex`. Or copy the skill folder (.agents/skills/tilelang-pass-analyzer in tile-ai/tilelang-ascend) into .agents/skills/tilelang-pass-analyzer in your project. Codex loads it when a task matches its description.

Can I use Tilelang Pass Analyzer 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 tile-ai/tilelang-ascend --skill tilelang-pass-analyzer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/tilelang-pass-analyzer, .gemini/skills/tilelang-pass-analyzer, .github/skills/tilelang-pass-analyzer and .opencode/skills/tilelang-pass-analyzer in your project.

What does Tilelang Pass Analyzer need to run?

SKILL.md names no scripts, command-line tools or credentials: Tilelang Pass Analyzer is instructions for the agent only. Our summary lists: Python 3.

Does Tilelang Pass Analyzer 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 Tilelang Pass Analyzer 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. Review the folder before installing.

What licence does Tilelang Pass Analyzer use?

Tilelang Pass Analyzer is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Tilelang Pass Analyzer use?

About 1.7k tokens (SKILL.md is roughly 6.8k 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 119k tokens, read only when the agent opens those files.

What are the alternatives to Tilelang Pass Analyzer?

Skills that share tags, products or a category with Tilelang Pass Analyzer: Agent Code Analyzer (ruvnet/ruflo, 74k stars), Agent Pagerank Analyzer (ruvnet/ruflo, 74k stars), Agent Performance Analyzer (ruvnet/ruflo, 74k stars) and Diff Analyze (ruvnet/ruflo, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Tilelang Pass Analyzer?

tile-ai (a GitHub organization) maintains it in tile-ai/tilelang-ascend, which has 402 GitHub stars. The repository holds 20 skills in this directory. The repository was last updated on October 9, 2026.

Source: tile-ai/tilelang-ascend on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.