Convert
remotion-dev/remotion
Start the local @remotion/convert app and open it in the Codex browser.
将 tilelang example 脚本转换为可在 A5 camodel 仿真器上直接运行的版本。输入脚本路径，输出一个新的 sim.py 文件，不覆盖原始文件。触发：仿真运行、camodel、A5 仿真、sim 模式、转换脚本为仿真、不需要 NPU 跑 kernel、simulate A5。
MITAuto-check passed
Install Tilelang A5 Sim Convert
$ npx skills add tile-ai/tilelang-ascend --skill tilelang-a5-sim-convert -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install tile-ai/tilelang-ascend tilelang-a5-sim-convert --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/tile-ai/tilelang-ascend.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/tilelang-a5-sim-convert .claude/skills/tilelang-a5-sim-convert && 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 "tilelang-a5-sim-convert" agent skill from https://github.com/tile-ai/tilelang-ascend/tree/ascendc_pto/.agents/skills/tilelang-a5-sim-convert into .claude/skills/tilelang-a5-sim-convert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tilelang-a5-sim-convert", 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/tile-ai/tilelang-ascend/tree/ascendc_pto/.agents/skills/tilelang-a5-sim-convertType 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 tile-ai/tilelang-ascend --skill tilelang-a5-sim-convert -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install tile-ai/tilelang-ascend tilelang-a5-sim-convert --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tile-ai/tilelang-ascend.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/tilelang-a5-sim-convert .agents/skills/tilelang-a5-sim-convert && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "tilelang-a5-sim-convert" agent skill from https://github.com/tile-ai/tilelang-ascend/tree/ascendc_pto/.agents/skills/tilelang-a5-sim-convert into .agents/skills/tilelang-a5-sim-convert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tilelang-a5-sim-convert", 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 tile-ai/tilelang-ascend --skill tilelang-a5-sim-convert -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install tile-ai/tilelang-ascend tilelang-a5-sim-convert --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tile-ai/tilelang-ascend.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/tilelang-a5-sim-convert .cursor/skills/tilelang-a5-sim-convert && 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 "tilelang-a5-sim-convert" agent skill from https://github.com/tile-ai/tilelang-ascend/tree/ascendc_pto/.agents/skills/tilelang-a5-sim-convert into .cursor/skills/tilelang-a5-sim-convert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tilelang-a5-sim-convert", 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/tile-ai/tilelang-ascend.git --path .agents/skills/tilelang-a5-sim-convert--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 tile-ai/tilelang-ascend --skill tilelang-a5-sim-convert -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install tile-ai/tilelang-ascend tilelang-a5-sim-convert --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tile-ai/tilelang-ascend.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/tilelang-a5-sim-convert .gemini/skills/tilelang-a5-sim-convert && 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 "tilelang-a5-sim-convert" agent skill from https://github.com/tile-ai/tilelang-ascend/tree/ascendc_pto/.agents/skills/tilelang-a5-sim-convert into .gemini/skills/tilelang-a5-sim-convert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tilelang-a5-sim-convert", 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 tile-ai/tilelang-ascend tilelang-a5-sim-convertInstalls 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 tile-ai/tilelang-ascend --skill tilelang-a5-sim-convert -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/tile-ai/tilelang-ascend.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/tilelang-a5-sim-convert .github/skills/tilelang-a5-sim-convert && 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 "tilelang-a5-sim-convert" agent skill from https://github.com/tile-ai/tilelang-ascend/tree/ascendc_pto/.agents/skills/tilelang-a5-sim-convert into .github/skills/tilelang-a5-sim-convert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tilelang-a5-sim-convert", 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 tile-ai/tilelang-ascend --skill tilelang-a5-sim-convert -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install tile-ai/tilelang-ascend tilelang-a5-sim-convert --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tile-ai/tilelang-ascend.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/tilelang-a5-sim-convert .opencode/skills/tilelang-a5-sim-convert && 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 "tilelang-a5-sim-convert" agent skill from https://github.com/tile-ai/tilelang-ascend/tree/ascendc_pto/.agents/skills/tilelang-a5-sim-convert into .opencode/skills/tilelang-a5-sim-convert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tilelang-a5-sim-convert", 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.
Facts
- Skill name
tilelang-a5-sim-convert- GitHub stars
- 402
- Token cost
- ~1.1k tokens
- SKILL.md length
- 171 words
- Files
- 3 (incl. scripts)
- Skills in repo
- 20
- Repo updated
- First seen
- Licence
- MIT
At a glance
将 tilelang example 脚本转换为可在 A5 camodel 仿真器上直接运行的版本。输入脚本路径，输出一个新的 sim.py 文件，不覆盖原始文件。触发：仿真运行、camodel、A5 仿真、sim 模式、转换脚本为仿真、不需要 NPU 跑 kernel、simulate A5。
- Works in 3 steps: 运行解析脚本获取 kernel 信息 → 读取模板 + 原始脚本 → 生成 *_sim.py
- SKILL.md covers 模板结构（260 行，只改两处）, 工作流程, 改动清单 and 测试数据生成规则
- Runs Python scripts from its folder; calls python
What it does
Tilelang A5 Sim Convert is an agent skill from tile-ai/tilelang-ascend. 将 tilelang example 脚本转换为可在 A5 camodel 仿真器上直接运行的版本。输入脚本路径，输出一个新的 sim.py 文件，不覆盖原始文件。触发：仿真运行、camodel、A5 仿真、sim 模式、转换脚本为仿真、不需要 NPU 跑 kernel、simulate A5。
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including scripts (for example `scripts/parse_example.py` and `scripts/run_a5_sim_template.py`).
The repository describes itself as: Ascend TileLang adapter. The licence is MIT.
Example prompts
- “/tilelang-a5-sim-convert”
Requirements
- Python 3
Workflow steps
3 steps, taken from the step headings in SKILL.md.
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
Ships 2 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
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 A5 Sim Convert loads about 1.1k tokens when it runs. Until then it costs about 44 tokens; SKILL.md has 171 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.
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
The full file from tile-ai/tilelang-ascend at commit 83b0ece, republished under its MIT licence (© tile-ai). 171 words, ~1,062 tokens.
Download SKILL.mdSave it as
.claude/skills/tilelang-a5-sim-convert/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.- name
- tilelang-a5-sim-convert
- description
- 将 tilelang example 脚本转换为可在 A5 camodel 仿真器上直接运行的版本。输入脚本路径，输出一个新的 *_sim.py 文件，不覆盖原始文件。触发：仿真运行、camodel、A5 仿真、sim 模式、转换脚本为仿真、不需要 NPU 跑 kernel、simulate A5。
TileLang A5 Camodel 仿真脚本转换
将任意 tilelang DSL 脚本转换为 A5 camodel 仿真可运行的独立脚本。
模板结构（260 行，只改两处）
模板文件：.agents/skills/tilelang-a5-sim-convert/scripts/run_a5_sim_template.py
行 1-24 import 语句 ← 不动
行 25-96 环境自动设置 ← 不动（_find_ascend_home, _source_cann, _find_sim_lib, setup）
行 99-133 加载 camodel 运行时 ← 不动（load_runtime, dev_malloc）
行 136-166 kernel 定义 ← ★ 第 1 处要改
行 169-260 main() 编译+运行+验证 ← 部分要改（详见下方）工作流程
收到脚本路径后，按以下步骤执行：
Step 1: 运行解析脚本获取 kernel 信息
cd <tilelang-ascend-root>
python .agents/skills/tilelang-a5-sim-convert/scripts/parse_example.py <target_script>输出 JSON，包含 kernel_name、buffers（shape/dtype 列表）。
Step 2: 读取模板 + 原始脚本
- 读取
.agents/skills/tilelang-a5-sim-convert/scripts/run_a5_sim_template.py - Read 目标脚本，找到 kernel 定义部分（
@T.prim_func或@tilelang.jit装饰的函数体）
Step 3: 生成 *_sim.py
输出路径：<原路径>/<原名>_sim.py（绝不覆盖原始文件）。
改动清单
改动 1：kernel 定义（模板 136-166 行）
| 原始脚本 | 仿真脚本 |
|---|---|
@tilelang.jit(out_idx=[-1]) | 删掉 |
def matmul(M, N, K, ...): | def make_kernel(): |
T.Tensor((M, K), dtype) | T.Tensor((1024, 256), "float16") ← 用 Step1 解析出的具体数值 |
T.alloc_L0C(..., "float16") | T.alloc_L0C(..., "float") ← A5 pto-isa 要求 float32 |
func = matmul(...) 触发编译 | 删掉，编译在 main() 里统一处理 |
生成的代码结构：
def make_kernel():
import tilelang.language as T
@T.prim_func
def main(
A: T.Tensor((1024, 256), "float16"), # ← 具体数值
B: T.Tensor((256, 1024), "float16"),
C: T.Tensor((1024, 1024), "float16"),
):
# ... kernel 逻辑（和原始脚本一模一样）...
return main改动 2：数据准备（模板 214-233 行）
a) 维度变量（第 215 行）
根据 Step1 的 buffers 设置：
# 原始模板（gemm 专用）
M, N, K = 1024, 512, 256
# 通用写法：从 buffers 提取
# buffers[0].shape = [M, K] → M = shape[0], K = shape[1]
# buffers[1].shape = [K, N] → N = shape[1]
# buffers[2].shape = [M, N]如果不是矩阵（比如 1D/3D tensor），按实际 shape 处理。
b) 数据 dtype（第 216-218 行）
# float16 → np.float16
# float32 → np.float32
# int32 → np.int32c) 数据填充（第 219-224 行）
float16 必须用小值防止溢出（>65504 就变成 inf）：
# 模式：np.float16((i % 100 + 1) * (j % 100 + 1) * 0.0001)
# 根据实际 tensor 维度调整循环层数d) 设备内存分配（第 227-229 行）
# float16：每个元素 2 字节 → size * 2
# float32：每个元素 4 字节 → size * 4
itemsize = 2 if dtype == "float16" else 4
d_A = dev_malloc(rt, total_elements * itemsize)e) 参考计算（第 225 行）
# gemm： h_Ref = h_A.astype(np.float32) @ h_B.astype(np.float32)
# elementwise：h_Ref = (h_A.astype(np.float32) + h_B.astype(np.float32))
# 其他：根据原始脚本的逻辑写对等的 numpy 计算改动 3：call 函数签名（模板 210 行）
# 原始模板（3 输入 + stream = 4 个参数）
kl.call.argtypes = [ctypes.c_void_p] * 4
# 实际参数数量 = kernel 的 buffer 数量 + 1（stream）
# buffers 有 3 个 → argtypes = [ctypes.c_void_p] * 4
# buffers 有 2 个 → argtypes = [ctypes.c_void_p] * 3
# buffers 有 4 个 → argtypes = [ctypes.c_void_p] * 5call() 的调用（第 237 行）也要对应：
# 3 个 buffer：kl.call(d_A, d_B, d_C, stream)
# 2 个 buffer：kl.call(d_in, d_out, stream)
# 4 个 buffer：kl.call(d_A, d_B, d_C, d_D, stream)改动 4：H2D 和 D2H 拷贝
# H2D（CPU → 设备），第 230-231 行
rt.rtMemcpy(d_A, size, h_A.ctypes.data, size, 1) # 最后一个参数 1 = host→device
# 每个输入 buffer 都要拷一次
# D2H（设备 → CPU），第 239 行
rt.rtMemcpy(h_C.ctypes.data, size, d_C, size, 2) # 最后一个参数 2 = device→host
# 只有输出 buffer 需要拷不需要改的部分
以下代码在任何转换中都保持原样：
import语句（12-18 行）_find_ascend_home()、_source_cann()、_find_sim_lib()、setup()（25-96 行）load_runtime()、dev_malloc()（99-133 行）tilelang.lower()+LibraryGenerator编译流程（189-211 行）rtStreamCreate/rtStreamSynchronize/rtStreamDestroy（232-233、238、254 行）- 验证逻辑框架（242-251 行）
- 清理代码（253-256 行）
测试数据生成规则
- float16：
np.float16((i % 100 + 1) * (j % 100 + 1) * 0.0001)，防溢出（max ≈ 65504） - float32：直接用
np.float32(...)，范围宽不溢出 - 参考输出：统一用 float32 计算，保证精度
© 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 2 other files (scripts) in .agents/skills/tilelang-a5-sim-convert of tile-ai/tilelang-ascend.
- SKILL.md
- scripts/parse_example.py
- scripts/run_a5_sim_template.py
Open the folder on GitHubat commit 83b0ece
Compare with similar skills
Tilelang A5 Sim Convert 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 |
|---|---|---|---|---|---|---|
| Tilelang A5 Sim Convert this skilltile-ai/tilelang-ascend | 402 | — | ~1.1k | Automated safety check: Pass | MIT | |
| Convertremotion-dev/remotion | 63k | — | ~247 | Automated safety check: Pass | Custom licence | |
| Sim Helmsimstudioai/sim | 30k | — | ~2.2k | Automated safety check: Pass | Apache-2.0 | |
| Word to Markdown Convertergithub/awesome-copilot | 40k | — | ~1.6k | Automated safety check: Pass | MIT | |
| Codebase To Wordpress Convertersickn33/agentic-awesome-skills | 47k | 1 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Postman Openapi Convertersickn33/agentic-awesome-skills | 47k | 1 repos | ~1.5k | Automated safety check: Pass | MIT |
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Questions about Tilelang A5 Sim Convert
What does Tilelang A5 Sim Convert do?
将 tilelang example 脚本转换为可在 A5 camodel 仿真器上直接运行的版本。输入脚本路径，输出一个新的 sim.py 文件，不覆盖原始文件。触发：仿真运行、camodel、A5 仿真、sim 模式、转换脚本为仿真、不需要 NPU 跑 kernel、simulate A5。. Tilelang A5 Sim Convert is an agent skill from tile-ai/tilelang-ascend.
How do I install Tilelang A5 Sim Convert in Claude Code?
Run `npx skills add tile-ai/tilelang-ascend --skill tilelang-a5-sim-convert -a claude-code`. Or copy the skill folder (.agents/skills/tilelang-a5-sim-convert in tile-ai/tilelang-ascend) into .claude/skills/tilelang-a5-sim-convert in your project. Claude Code loads it when a task matches its description.
How do I install Tilelang A5 Sim Convert in Codex?
Run `npx skills add tile-ai/tilelang-ascend --skill tilelang-a5-sim-convert -a codex`. Or copy the skill folder (.agents/skills/tilelang-a5-sim-convert in tile-ai/tilelang-ascend) into .agents/skills/tilelang-a5-sim-convert in your project. Codex loads it when a task matches its description.
Can I use Tilelang A5 Sim Convert 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-a5-sim-convert -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-a5-sim-convert, .gemini/skills/tilelang-a5-sim-convert, .github/skills/tilelang-a5-sim-convert and .opencode/skills/tilelang-a5-sim-convert in your project.
What does Tilelang A5 Sim Convert need to run?
Going by SKILL.md and its folder, Tilelang A5 Sim Convert needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.
Does Tilelang A5 Sim Convert 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 A5 Sim Convert 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 Tilelang A5 Sim Convert use?
Tilelang A5 Sim Convert 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 A5 Sim Convert use?
About 1.1k tokens (SKILL.md is roughly 4.2k 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 Tilelang A5 Sim Convert?
Skills that share tags, products or a category with Tilelang A5 Sim Convert: Convert (remotion-dev/remotion, 63k stars), Sim Helm (simstudioai/sim, 30k stars), Word to Markdown Converter (github/awesome-copilot, 40k stars) and Codebase To Wordpress Converter (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Tilelang A5 Sim Convert?
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.