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Import Skills

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AnastasiyaW AnastasiyaW
from GitHub Data & AI
  • 📁 references/
  • 📄 SKILL.md
references data diffusion

diffusion-engineering

Практическая инженерия диффузионных моделей: архитектуры, обучение, инференс, оптимизация памяти. Использовать при любых задачах с диффузионными моделями: проектирование или модификация архитектуры (UNet/DiT/Flow/Flux), выбор и настройка schedulers/samplers, дообучение (LoRA/DreamBooth/full fine-tune), оптимизация памяти (AMP/checkpointing/ZeRO/FSDP/quantization), замена или fusion текст-энкодеров (CLIP/Qwen), работа с Diffusers, отладка диффузионных пайплайнов, оценка качества (FID/CLIPScore/LPIPS), latent diffusion, VAE, guidance/CFG, rectified flow, Stable Diffusion, SDXL, Flux. Также применять при вопросах про GPU-память при обучении генеративных моделей, text-to-image пайплайны, ControlNet, multi-encoder fusion, WebDataset. --- # Diffusion Engineering Skill ## Быстрая ориентация Три инженерных решения, которые больше всего влияют на качество/скорость/стоимость: 1. **Где идёт диффузия** → пиксели (дорого) или латентное пространство (LDM/SD-семейство — практично) 2. **Backbone денойзера** → UNet (классика, проще) или Transformer/DiT/Flow (масштабируется лучше) 3. **Управление сэмплингом** → scheduler, число шагов, guidance_scale — часто дают больше, чем правка сети --- ## Reference files — читать по задаче | Тема | Файл | Когда читать | |---|---|---| | Архитектуры и data flow | `references/architectures.md` | DDPM/SDE/LDM/DiT/Flux/VAE/SDXL, схема пайплайна | | Schedulers и guidance | `references/samplers.md` | DDIM/Euler/Heun/DPM-Solver/PNDM, CFG, prediction_type | | Обучение и дообучение | `references/training.md` | Loss/цели, LoRA/DreamBooth/full FT, гиперпараметры | | Память и распределённость | `references/memory.md` | AMP, checkpointing, ZeRO, FSDP, quantization, FP8 | | Текст-энкодеры и данные | `references/encoders-data.md` | CLIP/Qwen/multi-encoder, токенизация, data pipeline | | Оценка и траблшутинг | `references/eval-debug.md` | FID/CLIPScore/LPIPS, типовые поломки и фиксы, лицензии | --- ## Быстрый чеклист «я строю/модифицирую diffusion» - [ ] **Backbo

⬇0 ❤8 22 days ago · Uploaded Detail →
plc1220 plc1220
from GitHub Data & AI
  • 📁 analyze/
  • 📁 dashboard/
  • 📁 explore/
  • 📄 SKILL.md
data analysis visualization

data

Data analysis skill hub. Routes to the right specialist subskill depending on the request — exploration, query writing, end-to-end analysis, visualization, validation, interactive dashboard assembly, or recurring snapshot refresh.

⬇0 ❤8 22 days ago · Uploaded Detail →
kesslerio kesslerio
from GitHub Tools & Productivity
  • 📁 docs/
  • 📁 references/
  • 📁 scripts/
  • 📄 .gitignore
  • 📄 LICENSE
  • 📄 README.md
automation browser data

camoufox-stealth-browser

Stealth browser automation with Camoufox for hostile sites that block standard Playwright or Selenium flows. Browser workflows prefer camoufox-nixos on NixOS hosts and fall back to distrobox plus pybox on compatible Linux setups. Use when Cloudflare, Datadome, Airbnb, Yelp, or similar anti-bot targets require persistent login and session reuse. Browser lane only; API helpers are secondary.

⬇0 ❤5 6 days ago · Uploaded Detail →
hypercerts-org hypercerts-org
from GitHub Testing & Security
  • 📁 references/
  • 📄 SKILL.md
login data flow

epds-login

Implement AT Protocol OAuth login against an ePDS instance. Covers two flows — Flow 1 (email-first, hand-rolled PAR/DPoP) and Flow 2 (via @atproto/oauth-client-node, accepting no hint / handle / DID). Use when building passwordless OTP login, configuring client metadata (confidential vs public), or integrating NodeOAuthClient.

⬇0 ❤5 6 days ago · Uploaded Detail →
johncui9392 johncui9392
from GitHub Data & AI
  • 📁 scripts/
  • 📄 manifest.json
  • 📄 SKILL.md
data database 一站式满足机构与

MX_FinData

基于东方财富专业数据库，支持自然语言查询金融数据，覆盖A股、ETF、债券、港美股、基金等全品类资产，含实时行情、公司信息、估值、财务报表等，数据实时、权威、全面，可用于投资研究、交易复盘、行业分析、信用研究、财报审计、资产配置、报告撰写等场景，一站式满足机构与个人投资分析、市场监控、数据检索等需求。返回结果包含数据说明及 xlsx 文件。

⬇0 ❤8 24 days ago · Uploaded Detail →
AI45Lab AI45Lab
from GitHub Development & Coding
  • 📁 .claude/
  • 📁 docs/
  • 📁 install/
  • 📄 .gitignore
  • 📄 analysis.md
  • 📄 CHANGELOG.md
security data ai

sentryskills

SentrySkills - AI agent security framework with 33+ detection rules. Protects against prompt injection, data leaks, unsafe commands, and code vulnerabilities.

⬇0 ❤8 24 days ago · Uploaded Detail →
jupyter-ai-contrib jupyter-ai-contrib
from GitHub Tools & Productivity
  • 📄 SKILL.md
notebook data all

notebook-cli

ALWAYS use the `nb` CLI for ALL Jupyter notebook operations instead of built-in tools (Read, NotebookEdit, etc). This includes reading, creating, editing cells, executing, and searching notebooks. Outputs AI-Optimized Markdown format by default with line-oriented sentinels (@@notebook, @@cell, @@output) and JSON metadata for deterministic parsing. Supports both local file-based and remote real-time collaboration modes. REQUIRED for all .ipynb files in this project.

⬇0 ❤8 25 days ago · Uploaded Detail →
gigaverse-app gigaverse-app
from GitHub Data & AI
  • 📁 docs/
  • 📁 references/
  • 📄 SKILL.md
data ai langsmith-cli

langsmith

Inspect and manage LangSmith traces, runs, datasets, and prompts using the 'langsmith-cli'.

⬇0 ❤8 25 days ago · Uploaded Detail →
xiehust xiehust
from GitHub Tools & Productivity
  • 📁 references/
  • 📁 templates/
  • 📄 SKILL.md
automation data browser

agent-browser

Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.

⬇0 ❤8 25 days ago · Uploaded Detail →

Skill File Structure Sample (Reference)

skill-sample/
├─ SKILL.md              ⭐ Required: skill entry doc (purpose / usage / examples / deps)
├─ manifest.sample.json  ⭐ Recommended: machine-readable metadata (index / validation / autofill)
├─ LICENSE.sample        ⭐ Recommended: license & scope (open source / restriction / commercial)
├─ scripts/
│  └─ example-run.py     ✅ Runnable example script for quick verification
├─ assets/
│  ├─ example-formatting-guide.md  🧩 Output conventions: layout / structure / style
│  └─ example-template.tex         🧩 Templates: quickly generate standardized output
└─ references/           🧩 Knowledge base: methods / guides / best practices
   ├─ example-ref-structure.md     🧩 Structure reference
   ├─ example-ref-analysis.md      🧩 Analysis reference
   └─ example-ref-visuals.md       🧩 Visual reference

More Agent Skills specs Anthropic docs: https://agentskills.io/home

SKILL.md Requirements

├─ ⭐ Required: YAML Frontmatter (must be at top)
│  ├─ ⭐ name                 : unique skill name, follow naming convention
│  └─ ⭐ description          : include trigger keywords for matching
│
├─ ✅ Optional: Frontmatter extension fields
│  ├─ ✅ license              : license identifier
│  ├─ ✅ compatibility        : runtime constraints when needed
│  ├─ ✅ metadata             : key-value fields (author/version/source_url...)
│  └─ 🧩 allowed-tools        : tool whitelist (experimental)
│
└─ ✅ Recommended: Markdown body (progressive disclosure)
   ├─ ✅ Overview / Purpose
   ├─ ✅ When to use
   ├─ ✅ Step-by-step
   ├─ ✅ Inputs / Outputs
   ├─ ✅ Examples
   ├─ 🧩 Files & References
   ├─ 🧩 Edge cases
   ├─ 🧩 Troubleshooting
   └─ 🧩 Safety notes

Why SkillWink?

Skill files are scattered across GitHub and communities, difficult to search, and hard to evaluate. SkillWink organizes open-source skills into a searchable, filterable library you can directly download and use.

We provide keyword search, version updates, multi-metric ranking (downloads / likes / comments / updates), and open SKILL.md standards. You can also discuss usage and improvements on skill detail pages.

Keyword Search Version Updates Multi-Metric Ranking Open Standard Discussion

Quick Start:

Import/download skills (.zip/.skill), then place locally:

~/.claude/skills/ (Claude Code)

~/.codex/skills/ (Codex CLI)

One SKILL.md can be reused across tools.

FAQ

Everything you need to know: what skills are, how they work, how to find/import them, and how to contribute.

1. What are Agent Skills?

A skill is a reusable capability package, usually including SKILL.md (purpose/IO/how-to) and optional scripts/templates/examples.

Think of it as a plugin playbook + resource bundle for AI assistants/toolchains.

2. How do Skills work?

Skills use progressive disclosure: load brief metadata first, load full docs only when needed, then execute by guidance.

This keeps agents lightweight while preserving enough context for complex tasks.

3. How can I quickly find the right skill?

Use these three together:

  • Semantic search: describe your goal in natural language.
  • Multi-filtering: category/tag/author/language/license.
  • Sort by downloads/likes/comments/updated to find higher-quality skills.

4. Which import methods are supported?

  • Upload archive: .zip / .skill (recommended)
  • Upload skills folder
  • Import from GitHub repository

Note: file size for all methods should be within 10MB.

5. How to use in Claude / Codex?

Typical paths (may vary by local setup):

  • Claude Code：~/.claude/skills/
  • Codex CLI：~/.codex/skills/

One SKILL.md can usually be reused across tools.

6. Can one skill be shared across tools?

Yes. Most skills are standardized docs + assets, so they can be reused where format is supported.

Example: retrieval + writing + automation scripts as one workflow.

7. Are these skills safe to use?

Some skills come from public GitHub repositories and some are uploaded by SkillWink creators. Always review code before installing and own your security decisions.

8. Why does it not work after import?

Most common reasons:

  • Wrong folder path or nested one level too deep
  • Invalid/incomplete SKILL.md fields or format
  • Dependencies missing (Python/Node/CLI)
  • Tool has not reloaded skills yet

9. Does SkillWink include duplicates/low-quality skills?

We try to avoid that. Use ranking + comments to surface better skills:

  • Duplicate skills: compare differences (speed/stability/focus)
  • Low quality skills: regularly cleaned up