Segment Anything Model Guide
Orchestra-Research/AI-Research-SKILLs
Guide to using Meta's Segment Anything Model for zero-shot image segmentation with point, box or mask prompts, or automatic mask generation.
A skill your agent uses when working with Paddle's distributed training system: understanding parallelism strategies (DP, ZeRO, TP, PP, SP), semi-automatic parallel with ProcessMesh + shardtensor…
Install Paddle Design Distributed
$ npx skills add PaddlePaddle/Paddle --skill paddle-design-distributed -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install PaddlePaddle/Paddle paddle-design-distributed --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-distributed .claude/skills/paddle-design-distributed && 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-design-distributed" agent skill from https://github.com/PaddlePaddle/Paddle/tree/develop/.agents/skills/paddle-design-distributed into .claude/skills/paddle-design-distributed/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paddle-design-distributed", 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-distributedType 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-design-distributed -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install PaddlePaddle/Paddle paddle-design-distributed --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-distributed .agents/skills/paddle-design-distributed && 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-design-distributed" agent skill from https://github.com/PaddlePaddle/Paddle/tree/develop/.agents/skills/paddle-design-distributed into .agents/skills/paddle-design-distributed/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paddle-design-distributed", 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-design-distributed -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install PaddlePaddle/Paddle paddle-design-distributed --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-distributed .cursor/skills/paddle-design-distributed && 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-design-distributed" agent skill from https://github.com/PaddlePaddle/Paddle/tree/develop/.agents/skills/paddle-design-distributed into .cursor/skills/paddle-design-distributed/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paddle-design-distributed", 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-distributed--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-design-distributed -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install PaddlePaddle/Paddle paddle-design-distributed --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-distributed .gemini/skills/paddle-design-distributed && 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-design-distributed" agent skill from https://github.com/PaddlePaddle/Paddle/tree/develop/.agents/skills/paddle-design-distributed into .gemini/skills/paddle-design-distributed/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paddle-design-distributed", 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-design-distributedInstalls 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-design-distributed -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-distributed .github/skills/paddle-design-distributed && 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-design-distributed" agent skill from https://github.com/PaddlePaddle/Paddle/tree/develop/.agents/skills/paddle-design-distributed into .github/skills/paddle-design-distributed/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paddle-design-distributed", 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-design-distributed -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-design-distributed --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-distributed .opencode/skills/paddle-design-distributed && 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-design-distributed" agent skill from https://github.com/PaddlePaddle/Paddle/tree/develop/.agents/skills/paddle-design-distributed into .opencode/skills/paddle-design-distributed/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paddle-design-distributed", 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-design-distributed- GitHub stars
- 24k
- Token cost
- ~660 tokens
- SKILL.md length
- 152 words
- Files
- 3 (incl. references)
- Skills in repo
- 11
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
A skill your agent uses when working with Paddle's distributed training system: understanding parallelism strategies (DP, ZeRO, TP, PP, SP), semi-automatic parallel with ProcessMesh + shardtensor…
- Works in 3 steps: 推导 Einsum 表示：matmul(X[M,K], Y[K,N]) ->… → 合并输入 dims_mapping：同一 Einsum 轴的切分必须一致，冲突时… → 推导输出 dims_mapping：根据合并后的轴切分信息映射到输出
- Working with Paddles distributed training system: understanding parallelism strategies (DP
- SKILL.md covers 分布式范式速查, 三种编程范式, SPMD 推导规则 and Pipeline 调度, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Paddle Design Distributed is an agent skill from PaddlePaddle/Paddle. Use when working with Paddle's distributed training system: understanding parallelism strategies (DP, ZeRO, TP, PP, SP), semi-automatic parallel with ProcessMesh + shardtensor, SPMD inference rules, pipeline scheduling, or autoparallel Engine.
Its SKILL.md is about 660 tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/distributed-primer.md` and `references/spmd-rules.md`).
It sits in AI & LLM Engineering, covering Deep learning. It works with Python. 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
- Working with Paddles distributed training system: understanding parallelism strategies (DP
- Semi-automatic parallel with ProcessMesh + shardtensor
- SPMD inference rules
- Pipeline scheduling
Example prompts
- “/paddle-design-distributed”
Requirements
- Python 3
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- 推导 Einsum 表示：matmul(X[M,K], Y[K,N]) -> Z[M,N] → mk,kn->mn
- 合并输入 dims_mapping：同一 Einsum 轴的切分必须一致，冲突时 reshard
- 推导输出 dims_mapping：根据合并后的轴切分信息映射到输出
What it can do on your machine
Read from SKILL.md and the folder at commit 5434c21. 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 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
Paddle Design Distributed loads about 660 tokens when it runs, and up to ~3.4k if it reads all its reference files. Until then it costs about 68 tokens; SKILL.md has 152 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 5434c21, republished under its Apache-2.0 licence (© PaddlePaddle). 152 words, ~660 tokens.
Download SKILL.mdSave it as
.claude/skills/paddle-design-distributed/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.- name
- paddle-design-distributed
- description
- Use when working with Paddle's distributed training system: understanding parallelism strategies (DP, ZeRO, TP, PP, SP), semi-automatic parallel with ProcessMesh + shard_tensor, SPMD inference rules, pipeline scheduling, or auto_parallel Engine.
Paddle 分布式训练
分布式范式速查
| 范式 | 核心思想 | 通信原语 |
|---|---|---|
| Data Parallel | 复制模型，切分数据，AllReduce 梯度 | AllReduce |
| Group Sharded (ZeRO) | Stage1 切 optimizer / Stage2 + 切 grad / Stage3 + 切 weight | Broadcast, ReduceScatter, AllGather |
| Model Parallel (Tensor) | Column Parallel 切权重列 / Row Parallel 切权重行 | AllReduce / AllGather |
| Pipeline Parallel | F-then-B / 1F1B 交错前反向 | Send / Recv (P2P) |
| Sequence Parallel | 沿 sequence 维度切分 LayerNorm/Dropout | AllGather / ReduceScatter |
三种编程范式
| 范式 | 入口 | 适用场景 |
|---|---|---|
| 手动并行 | fleet.meta_parallel | 灵活但代码量大，适合深度定制 |
| 半自动动态图 | ProcessMesh + shard_tensor | 用户标注切分方式，框架自动推导通信，兼具易用性和灵活性 |
| 半自动静态图 | auto_parallel.Engine | 基于 PIR 做全局优化，追求极致性能 |
半自动动态图示例
import paddle.distributed as dist
mesh = dist.ProcessMesh([0, 1, 2, 3], dim_names=["x"])
x = dist.shard_tensor(x, mesh, [dist.Shard(0)]) # 沿 dim 0 切分SPMD 推导规则
半自动并行的核心：用户只标注部分 Tensor 的切分方式（Placement），框架自动推导每个算子的输入输出应如何切分，必要时插入通信算子。
基于 Einsum 的计算类规则
- 推导 Einsum 表示：
matmul(X[M,K], Y[K,N]) -> Z[M,N]→mk,kn->mn - 合并输入 dims_mapping：同一 Einsum 轴的切分必须一致，冲突时 reshard
- 推导输出 dims_mapping：根据合并后的轴切分信息映射到输出
形状变换类规则
使用 DimTrans 系统描述维度映射：InputDim / Flatten / Split / Singleton。
Pipeline 调度
| 调度策略 | 特点 |
|---|---|
| F-then-B | 所有前向完毕再反向，简单但显存占用大 |
| 1F1B | warm-up → steady（前反交替）→ cool-down，显存减少约 37.5% |
什么场景看什么文件
| 场景 | 参考文档 |
|---|---|
| 分布式策略原理（DP/Sharded/MP/PP/SP） | references/distributed-primer.md |
| SPMD 推导规则与 Pipeline 调度 | references/spmd-rules.md |
源码入口
| 模块 | 路径 |
|---|---|
| 分布式总目录 | python/paddle/distributed/ |
| ProcessMesh / shard_tensor API | python/paddle/distributed/auto_parallel/ |
| auto_parallel Engine | python/paddle/distributed/auto_parallel/high_level_api.py |
| fully_shard（ZeRO-like） | python/paddle/distributed/auto_parallel/fully_shard.py |
| SPMD 推导规则 C++ | paddle/phi/infermeta/spmd_rules/ |
| SPMD 规则注册 | paddle/phi/infermeta/spmd_rules/rules.h |
| Pipeline 调度 Pass | python/paddle/distributed/passes/pipeline_scheduler_pass/ |
| 分布式策略配置 | python/paddle/distributed/auto_parallel/strategy.py |
| SPMD 规则测试 | test/auto_parallel/spmd_rules/ |
© 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 2 other files (references) in .agents/skills/paddle-design-distributed of PaddlePaddle/Paddle.
- SKILL.md
- references/distributed-primer.md
- references/spmd-rules.md
Open the folder on GitHubat commit 5434c21
Compare with similar skills
Paddle Design Distributed 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 Design Distributed this skillPaddlePaddle/Paddle | 24k | — | ~660 | Automated safety check: Pass | Apache-2.0 | |
| Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs | 13k | 8 repos | ~3.3k | Automated safety check: Pass | MIT | |
| CLIP Image-Text MatchingOrchestra-Research/AI-Research-SKILLs | 13k | 7 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Onnxtxtonnx/onnx | 22k | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| Scaffold Examplecomet-ml/comet-examples | 175 | — | ~1k | Automated safety check: Pass | None | |
| PyTorch Lightning TrainingOrchestra-Research/AI-Research-SKILLs | 13k | 6 repos | ~2.3k | Automated safety check: Pass | MIT |
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Questions about Paddle Design Distributed
What does Paddle Design Distributed do?
A skill your agent uses when working with Paddle's distributed training system: understanding parallelism strategies (DP, ZeRO, TP, PP, SP), semi-automatic parallel with ProcessMesh + shardtensor…. Paddle Design Distributed is an agent skill from PaddlePaddle/Paddle. Use when working with Paddle's distributed training system: understanding parallelism strategies (DP, ZeRO, TP, PP, SP), semi-automatic parallel with ProcessMesh + shardtensor, SPMD inference rules, pipeline scheduling, or autoparallel Engine.
When should I use Paddle Design Distributed?
Paddle Design Distributed fits situations like: working with Paddles distributed training system: understanding parallelism strategies (DP; semi-automatic parallel with ProcessMesh + shardtensor; SPMD inference rules; pipeline scheduling.
How do I install Paddle Design Distributed in Claude Code?
Run `npx skills add PaddlePaddle/Paddle --skill paddle-design-distributed -a claude-code`. Or copy the skill folder (.agents/skills/paddle-design-distributed in PaddlePaddle/Paddle) into .claude/skills/paddle-design-distributed in your project. Claude Code loads it when a task matches its description.
How do I install Paddle Design Distributed in Codex?
Run `npx skills add PaddlePaddle/Paddle --skill paddle-design-distributed -a codex`. Or copy the skill folder (.agents/skills/paddle-design-distributed in PaddlePaddle/Paddle) into .agents/skills/paddle-design-distributed in your project. Codex loads it when a task matches its description.
Can I use Paddle Design Distributed 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-design-distributed -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-design-distributed, .gemini/skills/paddle-design-distributed, .github/skills/paddle-design-distributed and .opencode/skills/paddle-design-distributed in your project.
What does Paddle Design Distributed need to run?
SKILL.md names no scripts, command-line tools or credentials: Paddle Design Distributed is instructions for the agent only. Our summary lists: Python 3.
Does Paddle Design Distributed 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 Paddle Design Distributed 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 Design Distributed use?
Paddle Design Distributed 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 Design Distributed use?
About 660 tokens (SKILL.md is roughly 2.6k 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 2.7k tokens, read only when the agent opens those files.
What are the alternatives to Paddle Design Distributed?
Skills that share tags, products or a category with Paddle Design Distributed: Segment Anything Model Guide (Orchestra-Research/AI-Research-SKILLs, 13k stars), CLIP Image-Text Matching (Orchestra-Research/AI-Research-SKILLs, 13k stars), Onnxtxt (onnx/onnx, 22k stars) and Scaffold Example (comet-ml/comet-examples, 175 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Paddle Design Distributed?
PaddlePaddle (a GitHub organization) maintains it in PaddlePaddle/Paddle, which has 24,121 GitHub stars. The repository holds 11 skills in this directory. The repository was last updated on October 9, 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.