ExecuTorch Build Guide
pytorch/executorch
Builds ExecuTorch from source: the Python package, C++ runtime, model runners, Android and iOS cross-compilation and backend-specific builds, with environment checks.
A skill your agent uses when navigating Paddle eager-mode (dynamic graph) source code, tracing forward/backward execution, debugging autograd issues, understanding PyLayer, or investigating…
Install Paddle Eager Graph
$ npx skills add PaddlePaddle/Paddle --skill paddle-eager-graph -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install PaddlePaddle/Paddle paddle-eager-graph --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/PaddlePaddle/Paddle.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/paddle-design-eager-graph .claude/skills/paddle-eager-graph && 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 "paddle-eager-graph" agent skill from https://github.com/PaddlePaddle/Paddle/tree/develop/.agents/skills/paddle-design-eager-graph into .claude/skills/paddle-eager-graph/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paddle-eager-graph", 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/PaddlePaddle/Paddle/tree/develop/.agents/skills/paddle-design-eager-graphType 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 PaddlePaddle/Paddle --skill paddle-eager-graph -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install PaddlePaddle/Paddle paddle-eager-graph --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/PaddlePaddle/Paddle.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/paddle-design-eager-graph .agents/skills/paddle-eager-graph && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "paddle-eager-graph" agent skill from https://github.com/PaddlePaddle/Paddle/tree/develop/.agents/skills/paddle-design-eager-graph into .agents/skills/paddle-eager-graph/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paddle-eager-graph", 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 PaddlePaddle/Paddle --skill paddle-eager-graph -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install PaddlePaddle/Paddle paddle-eager-graph --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/PaddlePaddle/Paddle.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/paddle-design-eager-graph .cursor/skills/paddle-eager-graph && 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 "paddle-eager-graph" agent skill from https://github.com/PaddlePaddle/Paddle/tree/develop/.agents/skills/paddle-design-eager-graph into .cursor/skills/paddle-eager-graph/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paddle-eager-graph", 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/PaddlePaddle/Paddle.git --path .agents/skills/paddle-design-eager-graph--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 PaddlePaddle/Paddle --skill paddle-eager-graph -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install PaddlePaddle/Paddle paddle-eager-graph --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/PaddlePaddle/Paddle.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/paddle-design-eager-graph .gemini/skills/paddle-eager-graph && 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 "paddle-eager-graph" agent skill from https://github.com/PaddlePaddle/Paddle/tree/develop/.agents/skills/paddle-design-eager-graph into .gemini/skills/paddle-eager-graph/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paddle-eager-graph", 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 PaddlePaddle/Paddle paddle-eager-graphInstalls 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 PaddlePaddle/Paddle --skill paddle-eager-graph -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/PaddlePaddle/Paddle.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/paddle-design-eager-graph .github/skills/paddle-eager-graph && 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 "paddle-eager-graph" agent skill from https://github.com/PaddlePaddle/Paddle/tree/develop/.agents/skills/paddle-design-eager-graph into .github/skills/paddle-eager-graph/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paddle-eager-graph", 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 PaddlePaddle/Paddle --skill paddle-eager-graph -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install PaddlePaddle/Paddle paddle-eager-graph --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/PaddlePaddle/Paddle.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/paddle-design-eager-graph .opencode/skills/paddle-eager-graph && 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 "paddle-eager-graph" agent skill from https://github.com/PaddlePaddle/Paddle/tree/develop/.agents/skills/paddle-design-eager-graph into .opencode/skills/paddle-eager-graph/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paddle-eager-graph", 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
paddle-eager-graph- GitHub stars
- 24k
- Token cost
- ~562 tokens
- SKILL.md length
- 98 words
- Files
- 7 (incl. references)
- Skills in repo
- 11
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
A skill your agent uses when navigating Paddle eager-mode (dynamic graph) source code, tracing forward/backward execution, debugging autograd issues, understanding PyLayer, or investigating…
- Navigating Paddle eager-mode (dynamic graph) source code
- SKILL.md covers 前向调用链路, 关键文件表, 反向关键数据结构 and 调试场景速查, plus 1 more section
- Calls python
- Tracing forward/backward execution
What it does
Paddle Eager Graph is an agent skill from PaddlePaddle/Paddle. Use when navigating Paddle eager-mode (dynamic graph) source code, tracing forward/backward execution, debugging autograd issues, understanding PyLayer, or investigating complex-valued gradient computation. Covers Python API to C++ kernel call chain, backward graph topology sort, and inplace version tracking.
Its SKILL.md is about 560 tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including reference files (for example `references/autograd-data-structs.md`, `references/backward-execution.md` and `references/complex-autograd.md`).
It sits in Development, covering Deep learning. It works with Python and C++. The repository describes itself as: PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）. The licence is Apache-2.0.
When your agent uses it
- Navigating Paddle eager-mode (dynamic graph) source code
- Tracing forward/backward execution
- Debugging autograd issues
- Understanding PyLayer
Example prompts
- “/paddle-eager-graph”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit 4793e33. 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
Shell commands in SKILL.md call:
python
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
github.com
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
Paddle Eager Graph loads about 562 tokens when it runs, and up to ~10k if it reads all its reference files. Until then it costs about 82 tokens; SKILL.md has 98 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); files beside SKILL.md are not scanned.
SKILL.md
The full file from PaddlePaddle/Paddle at commit 4793e33, republished under its Apache-2.0 licence (© PaddlePaddle). 98 words, ~562 tokens.
Download SKILL.mdSave it as
.claude/skills/paddle-eager-graph/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.- name
- paddle-eager-graph
- description
- Use when navigating Paddle eager-mode (dynamic graph) source code, tracing forward/backward execution, debugging autograd issues, understanding PyLayer, or investigating complex-valued gradient computation. Covers Python API to C++ kernel call chain, backward graph topology sort, and inplace version tracking.
Paddle 动态图（Eager Mode）导航索引
Paddle 动态图边执行边建图：前向执行时构建反向图，调用 backward() 时按拓扑序执行反向图。
前向调用链路
Python paddle.add(x, y)
│
▼
① ops_api.cc ─ Python-C 映射，GetTensorFromArgs 提取 Tensor
▼
② eager_op_function.cc ─ 参数解析 / Dist Tensor / 释放 GIL / backend 选择
▼
③ dygraph_functions.cc ─ AMP / Type Promotion / 创建 GradNode / 构建反向图
▼
④ api.cc ─ KernelKey 构造 / Kernel 选择 / PrepareData / InferMeta
▼
⑤ PHI Kernel 执行关键文件表
| 层级 | 代码路径 | 代码生成器 |
|---|---|---|
| ① Python-C 映射 | paddle/fluid/pybind/ops_api.cc | ops_api_gen.py |
| ② 动态图 C++ 接口 | paddle/fluid/pybind/eager_op_function.cc | python_c_gen.py |
| ③ 自动微分函数 | paddle/fluid/eager/api/generated/eager_generated/forwards/dygraph_functions.cc | eager_gen.py |
| ④ PHI 算子库接口 | paddle/phi/api/lib/api.cc | api_gen.py |
反向关键数据结构
| 数据结构 | 一句话描述 |
|---|---|
| AutogradMeta | Tensor 持有的反向元信息：梯度、来源 GradNode、slot/rank 位置 |
| GradNodeBase | 反向节点基类，纯虚 operator() 执行反向计算 |
| GradSlotMeta | 描述 GradNode 某个 slot 的 meta 信息与出边 Edge |
| Edge | 指向后继 GradNode 的边，含 in_slot_id_ 和 in_rank_ |
| TensorWrapper | GradNode 中保存前向 Tensor 的包装器，含 inplace 版本快照 |
| GradTensorHolder | 反向执行期间临时存放与聚合梯度的二维 buffer |
调试场景速查
| 调试场景 | 阅读哪个参考文档 |
|---|---|
| 前向调用链路 / Kernel 选择问题 | forward-call-chain.md |
| 反向梯度不正确 / 拓扑排序问题 | backward-execution.md |
| 数据结构成员 / 内存泄漏排查 | autograd-data-structs.md |
| 自定义反向 PyLayer | pylayer.md |
| 复数梯度 / Wirtinger 导数 | complex-autograd.md |
| Inplace 操作 / 版本追踪 | inplace.md |
社区资料（L3 层）
© PaddlePaddle, Apache-2.0. 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 6 other files (references) in .agents/skills/paddle-design-eager-graph of PaddlePaddle/Paddle.
- SKILL.md
- references/autograd-data-structs.md
- references/backward-execution.md
- references/complex-autograd.md
- references/forward-call-chain.md
- references/inplace.md
- references/pylayer.md
Open the folder on GitHubat commit 4793e33
Compare with similar skills
Paddle Eager Graph 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 |
|---|---|---|---|---|---|---|
| Paddle Eager Graph this skillPaddlePaddle/Paddle | 24k | — | ~562 | Automated safety check: Pass | Apache-2.0 | |
| ExecuTorch Build Guidepytorch/executorch | 5.1k | — | ~2.3k | Automated safety check: Notes | Custom licence | |
| Onnxtxtonnx/onnx | 22k | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| Ako4allTongmingLAIC/AKO4ALL | 369 | — | ~4k | Automated safety check: Pass | MIT | |
| Quark Installamd/Quark | 181 | — | ~1.8k | Automated safety check: Notes | MIT | |
| Software Harnessexeex/edge-cores | 110 | — | ~1k | Automated safety check: Pass | Apache-2.0 |
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Questions about Paddle Eager Graph
What does Paddle Eager Graph do?
A skill your agent uses when navigating Paddle eager-mode (dynamic graph) source code, tracing forward/backward execution, debugging autograd issues, understanding PyLayer, or investigating…. Paddle Eager Graph is an agent skill from PaddlePaddle/Paddle. Use when navigating Paddle eager-mode (dynamic graph) source code, tracing forward/backward execution, debugging autograd issues, understanding PyLayer, or investigating complex-valued gradient computation.
When should I use Paddle Eager Graph?
Paddle Eager Graph fits situations like: navigating Paddle eager-mode (dynamic graph) source code; tracing forward/backward execution; debugging autograd issues; understanding PyLayer.
How do I install Paddle Eager Graph in Claude Code?
Run `npx skills add PaddlePaddle/Paddle --skill paddle-eager-graph -a claude-code`. Or copy the skill folder (.agents/skills/paddle-design-eager-graph in PaddlePaddle/Paddle) into .claude/skills/paddle-eager-graph in your project. Claude Code loads it when a task matches its description.
How do I install Paddle Eager Graph in Codex?
Run `npx skills add PaddlePaddle/Paddle --skill paddle-eager-graph -a codex`. Or copy the skill folder (.agents/skills/paddle-design-eager-graph in PaddlePaddle/Paddle) into .agents/skills/paddle-eager-graph in your project. Codex loads it when a task matches its description.
Can I use Paddle Eager Graph 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 PaddlePaddle/Paddle --skill paddle-eager-graph -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/paddle-eager-graph, .gemini/skills/paddle-eager-graph, .github/skills/paddle-eager-graph and .opencode/skills/paddle-eager-graph in your project.
What does Paddle Eager Graph need to run?
Going by SKILL.md and its folder, Paddle Eager Graph needs the command-line tools its instructions call (python). Our summary lists: Python 3.
Does Paddle Eager Graph access the network?
SKILL.md names 1 domain. As links in the text: github.com. This is read from the text; nothing was executed.
Is Paddle Eager Graph 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 Paddle Eager Graph use?
Paddle Eager Graph is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Paddle Eager Graph use?
About 562 tokens (SKILL.md is roughly 2.2k 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 9.5k tokens, read only when the agent opens those files.
What are the alternatives to Paddle Eager Graph?
Skills that share tags, products or a category with Paddle Eager Graph: ExecuTorch Build Guide (pytorch/executorch, 5.1k stars), Onnxtxt (onnx/onnx, 22k stars), Ako4all (TongmingLAIC/AKO4ALL, 369 stars) and Quark Install (amd/Quark, 181 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Paddle Eager Graph?
PaddlePaddle (a GitHub organization) maintains it in PaddlePaddle/Paddle, which has 24,120 GitHub stars. The repository holds 11 skills in this directory. The repository was last updated on September 30, 2026.
Source: PaddlePaddle/Paddle on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.