Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/tile-ai/tilelang-ascend/tilelang-programming-model-guidenpx skills add tile-ai/tilelang-ascend --skill tilelang-programming-model-guidegit clone --depth 1 https://github.com/tile-ai/tilelang-ascendWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/tile-ai/tilelang-ascend/tilelang-programming-model-guide)<a href="https://agentmods.dev/skills/tile-ai/tilelang-ascend/tilelang-programming-model-guide"><img src="https://agentmods.dev/badge/skills/tile-ai/tilelang-ascend/tilelang-programming-model-guide.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00059 | $0.02995 |
| Opus 5 | $0.00030 | $0.01497 |
| Sonnet 5 | $0.00012 | $0.00599 |
| Haiku 4.5 | $0.00006 | $0.00299 |
Grade A, and why
tilelang-programming-model-guide scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 186 lines — stays where its author put it; the contents beside it link to each section on GitHub.
TileLang Ascend 编程模式与 pass_configs 指南
API 用法详情（内存分配、计算原语、同步原语等）请参考 tilelang-api-best-practices skill，本文档不再重复。
1. 模式对比
| 维度 | Developer 模式 | Expert 模式 |
|---|---|---|
| 内存分配 | T.alloc_shared / T.alloc_fragment |
T.alloc_L1 / T.alloc_ub / T.alloc_L0A/L0B/L0C |
| 计算表达 | T.Parallel + 符号运算 |
T.tile.xxx 扩展原语 |
| 作用域 | 编译器自动分离 Cube/Vector | 手动 with T.Scope("C"/"V") |
| 同步 | 编译器自动插入 | 手动 T.barrier_all / T.set_flag / T.wait_flag |
| CV 交互 | 默认消除 workspace+vid（threads=2 + 片上直连，见 §3.1.1） |
显式 GM workspace + 手动 vid 二分 |
| pass_configs | 全部开启 | 全部关闭或不设 |
| 适用场景 | 大多数算子，跨平台兼容 | 极致性能优化，需要底层控制 |
| 示例目录 | examples/developer_mode/ |
examples/flash_attention/fa_opt/flash_attn_bhsd_expert_*.py |
混合模式：Developer 主体 + 少量 Expert / Ascend 专属 T.tile.xxx。使用 Developer 的 pass_configs，不写 T.Scope 和手动同步。大多数实际算子使用混合模式。
2. pass_configs 详解（核心）
2.1 四个 Ascend 专用开关
import tilelang
pass_configs = {
tilelang.PassConfigKey.TL_ASCEND_AUTO_SYNC: True, # ① 自动核内同步
tilelang.PassConfigKey.TL_ASCEND_MEMORY_PLANNING: True, # ② 自动内存规划
tilelang.PassConfigKey.TL_ASCEND_AUTO_CV_COMBINE: True, # ③ 自动CV分离
tilelang.PassConfigKey.TL_ASCEND_AUTO_CV_SYNC: True, # ④ 自动核间同步
}
① TL_ASCEND_AUTO_SYNC（自动核内同步）
- 底层 key：
"tl.ascend_auto_sync"，默认 False - 功能：自动在数据搬运和计算之间插入
T.barrier_all()等同步指令 - 开启时：无需手写
T.barrier_all()、T.set_flag/T.wait_flag - 关闭时：必须手动插入所有同步点
② TL_ASCEND_MEMORY_PLANNING（自动内存规划）
- 底层 key：
"tl.ascend_memory_planning"，默认 False - 功能：自动分析 buffer 生命周期，实现片上内存复用
- 开启时：自动复用 buffer 空间，减少片上内存占用
- 关闭时：需手动通过
T.annotate_address规划内存地址
③ TL_ASCEND_AUTO_CV_COMBINE（自动 CV 分离）
- 底层 key：
"tl.ascend_auto_cv_combine"，默认 False - 功能：自动将 kernel 中的 Cube 操作和 Vector 操作分离到不同的执行核
- 开启时：无需手写
with T.Scope("C")/with T.Scope("V")，编译器根据 buffer 类型和所用原语自动识别 - 关闭时：必须手动用
T.Scope标注每段代码的执行域
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 4d ago First seen · 186 lines · 59 tokens per session scan A c7ae1a730294
tilelang-programming-model-guide is a skill published in the GitHub repository tile-ai/tilelang-ascend (358 stars, last pushed 7d ago), licensed MIT. It adds 59 tokens to every session and 2,995 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.
chat-perf
Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…