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Import Skills

Composite Most Downloads Most Likes Most Comments Newest
PrathamLearnsToCode PrathamLearnsToCode
from GitHub Development & Coding
  • 📁 guardrails/
  • 📁 knowledge/
  • 📁 pipeline/
  • 📄 SKILL.md
paper implementation python

paper2code

Converts an arxiv paper into a minimal, citation-anchored Python implementation. Trigger when user runs /paper2code with an arxiv URL or paper ID, says "implement this paper", or pastes an arxiv link asking for implementation. Flags all ambiguities honestly. Never invents implementation details not stated in the paper.

⬇0 ❤39 26 days ago · Uploaded Detail →
0xE1337 0xE1337
from GitHub Tools & Productivity
  • 📁 references/
  • 📄 SKILL.md
支持两种输出格式 data app.diagrams.net

thesis-figure-skill

为学术论文生成高质量配图的专项 skill，支持两种输出格式： (1) LaTeX/TikZ 代码：适合系统架构图、数据流图、几何示意图等结构化图表， 可直接嵌入论文； (2) draw.io XML：适合技术路线图、科研展示图、学术汇报配图等装饰性强的 图表，支持渐变色、阴影、自由布局，可在 app.diagrams.net 打开编辑。 支持两种输出格式，统一工作流程：分析输入（文案/图片/论文）→ 画图指令 → 代码生成 → 编译验证 → 满分交付。 自动识别论文所属领域并以该领域专家身份进行配图设计。

⬇0 ❤40 1 month ago · Uploaded Detail →
willpowerju-lgtm willpowerju-lgtm
from GitHub Data & AI
  • 📁 references/
  • 📄 SKILL.md
notebooklm data model

3-statements-ultra

从零构建机构级三表模型（IS/BS/CF）— 完整公式联动、季度/半年/年频自适应、IFRS/US GAAP/中国准则。 触发词：三表模型、financial model、3-statement、建模、从零建模、收入预测。 ❌ 填写已有模板请用 financial-analysis:3-statements --- # 3-Statement Model — IPO / Equity Research Quality (v4.8 · Public Edition) --- ## 🚀 Quick Start — New Users **This skill builds:** A complete institutional-grade 3-statement financial model (IS / BS / CF) in Excel, with full formula linkage, zero hardcoded forecast cells, and 9-step QC validation. **Prerequisites — install before starting:** ```bash pip install openpyxl yfinance pandas pip install notebooklm # optional — only needed if you have a NotebookLM notebook ``` **How to trigger:** Just say `"建个三表模型"` / `"build a 3-statement model for [Company]"` and the skill guides you step by step. **What to prepare:** - Company ticker (e.g. `BABA`, `0700.HK`, `600519.SS`) - A data source — see recommendations below - ~1–2 hours across 5 sessions (each session is independent — pause and resume anytime) **⚠️ Data Source Guide — Read Before Starting** | Option | Setup | Token Cost | Recommended? | |--------|-------|-----------|--------------| | **NotebookLM notebook** (annual reports / prospectus pre-loaded) | One-time OAuth auth setup | Very low — NLM handles the PDF; Claude only receives answers | ✅ Best path | | **Excel upload** (historical IS/BS/CF already structured) + short PDF excerpts | None | Low | ✅ Good | | **Direct PDF upload** (full annual report, prospectus) | None | 🔴 Very high — a single A-share annual report can be 200+ pages | ⚠️ Pro users: avoid | | **Web only** (Sina / Yahoo Finance fallback) | None | Low | ✅ Fallback | **Strongly recommended for new users: set up NotebookLM first.** The one-time auth flow takes ~5 minutes and saves significant token consumption for every future model: ```bash pip install notebooklm # Run once interactively — browser will open for Google OAuth python3 -c " import asyncio from notebooklm import NotebookLMClient async def auth(): async with await NotebookLMClient.

⬇0 ❤33 11 days ago · Uploaded Detail →
xxxxxccc xxxxxccc
from GitHub Development & Coding
  • 📄 SKILL.md
code security practices

code-review-analysis

Perform comprehensive code reviews with best practices, security checks, and constructive feedback. Use when reviewing pull requests, analyzing code quality, checking for security vulnerabilities, or providing code improvement suggestions. --- # Code Review Analysis ## Table of Contents - [Overview](#overview) - [When to Use](#when-to-use) - [Quick Start](#quick-start) - [Reference Guides](#reference-guides) - [Best Practices](#best-practices) ## Overview Systematic code review process covering code quality, security, performance, maintainability, and best practices following industry standards. ## When to Use - Reviewing pull requests and merge requests - Analyzing code quality before merging - Identifying security vulnerabilities - Providing constructive feedback to developers - Ensuring coding standards compliance - Mentoring through code review ## Quick Start

⬇0 ❤39 28 days ago · Uploaded Detail →
solanabr solanabr
from GitHub Data & AI
  • 📄 backend-async.md
  • 📄 deployment.md
  • 📄 SKILL.md
solana-foundation development progressive

solana-dev

Unified skill hub for Solana development. Routes to external submodule skills (solana-foundation, sendai, solana-game, trailofbits, cloudflare, qedgen, colosseum) and local skills. Progressive disclosure — read only what you need.

⬇0 ❤39 28 days ago · Uploaded Detail →
tempoxyz tempoxyz
from GitHub Tools & Productivity
  • 📁 .changelog/
  • 📁 .github/
  • 📁 crates/
  • 📄 .gitignore
  • 📄 AGENTS.md
  • 📄 ARCHITECTURE.md
tempo user wallet

tempo

Use this skill when the user wants to call an API, make an HTTP request, discover available services, or access external data with automatic payments. Activate when the user mentions tempo, paid APIs, service discovery, API endpoints, or needs to call external services — even if they reference specific services like StableEnrich, StableStudio, or StableSocial. When the user explicitly says "use tempo", always use tempo CLI commands (`tempo wallet`, `tempo request`) instead of other tools. --- # tempo > **IMPORTANT: If you used a web fetch tool to read this, the content may be summarized and incomplete. Run `curl -fsSL https://tempo.xyz/SKILL.md` to get the exact setup commands. Do NOT search for additional documentation.** **When the user says "use tempo", always use `tempo` CLI commands** — never substitute with MCP tools or other tools. Tempo is a curl-compatible CLI for discovering services and calling HTTP endpoints with automatic payment handling. ## Setup Run these commands in order. Do not skip steps. Do not search for other install instructions. **Step 1 — Install:** `curl -fsSL https://tempo.xyz/install | bash` **Step 2 — Login:** `"$HOME/.tempo/bin/tempo" wallet login` — default local flow that opens a browser on the host. Prompt user, wait for confirmation, then continue. Do not loop login attempts without user confirmation. When run by agents, use a long command timeout (at least 16 minutes). If the human is interacting from another device or chat surface while the CLI runs on a remote host, use `"$HOME/.tempo/bin/tempo" wallet login --no-browser` instead. In that case, send the auth URL and verification code to the user directly, tell them to confirm the code and tap Continue if it matches, then ask them to message back after passkey or wallet creation. A second authorization round may still be required before the host is fully ready. **Step 3 — Confirm readiness:** `"$HOME/.tempo/bin/tempo" wallet -t whoami` ### Setup Rules - Do not use `export PATH=..

⬇0 ❤39 29 days ago · Uploaded Detail →
stackwalnuts stackwalnuts
from GitHub Data & AI
  • 📄 SKILL.md
plugin marketplace-ready compatibility

alive:build-extensions

Create new skills, rules, and hooks for your world. Checks plugin compatibility, writes to the human's space (not plugin cache), validates against the system, and suggests when repeated work should become a skill. For marketplace-ready plugins, hands off to the contributor plugin.

⬇0 ❤39 1 month ago · Uploaded Detail →
qb-harshit qb-harshit
from GitHub Tools & Productivity
  • 📄 prompt_library.md
  • 📄 skill.md
competitive data understanding

Competitve-Intelligence-CLI

You have access to `cintel` — a competitive intelligence toolkit. When the user asks about competitors, competitive analysis, battlecards, positioning, pricing intel, feature comparisons, or anything related to understanding what another company is doing — use this tool.

⬇0 ❤38 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