- 📁 references/
- 📄 SKILL.md
bootstrap
Генерирует полную .claude/ структуру автоматизации для любого проекта — агенты, пайплайны, скиллы, memory, hooks, settings. Автоопределение режима fresh/validate/resume.
Генерирует полную .claude/ структуру автоматизации для любого проекта — агенты, пайплайны, скиллы, memory, hooks, settings. Автоопределение режима fresh/validate/resume.
Set up a new client project: collect info, create GitHub repo & project board, generate contract/SOW draft, configure billing, send welcome package. For freelancers and agencies. Usage: /client-onboard
对代码进行质量审查,发现潜在 bug、安全漏洞和设计问题。当需要审查代码质量时使用此 Skill。
Use this skill when you receive a 402 Payment Required response that contains an `agentkit` extension. Covers checking 402 responses for the AgentKit extension before paying, constructing and signing a CAIP-122 challenge (SIWE for EVM, SIWS for Solana), sending the signed `agentkit` HTTP header, and interpreting access modes (free, free-trial, discount). Supports both EOA wallets (EIP-191) and Smart Contract Wallets (ERC-1271, e.g. Coinbase Smart Wallet, Safe).
ECPay 綠界科技 API 整合助手(ecpay, 綠界, 綠界科技)。 核心服務:AIO 金流、ECPG 線上金流(EC Payment Gateway;含站內付 2.0、綁卡、幕後授權)、CheckMacValue、AES 加密、 電子發票(B2C/B2B)、超商取貨物流、電子票證(ECTicket)。 金流方式:信用卡、ATM 轉帳、超商代碼、條碼、WebATM、TWQR、BNPL 先買後付、 Apple Pay、微信支付、銀聯、分期付款、定期定額、3D Secure。 進階功能:Token 綁卡、退款、折讓、對帳、發票作廢、物流追蹤、跨境物流。 整合情境:Shopify、WooCommerce、POS 刷卡機、直播收款
Fetch and analyze Bank of Israel (BOI) economic data: interest rates, CPI (madad hamchirim), exchange rates (sha'ar yatzig), and CBS statistics. Use when user asks about BOI interest rate, ribit Bank Israel, exchange rates, sha'ar yatzig, CPI index, madad, inflation data, or Israeli economic indicators. Foundation skill for Israeli financial analytics. Provides API access to data.boi.org.il and CBS data. Do NOT use for stock market data (use tase-stock-analysis instead) or for currency conversion (use shekel-currency-converter instead).
Set up automation — prospective memory triggers, neuro-symbolic rules, and CLAUDE.md sync. Use when the user says 'remind me when', 'trigger when', 'create a rule', 'auto-remember', 'sync to CLAUDE.md', 'push insights', 'set up trigger', 'when I open this file', 'when this keyword appears', or when you want to automate memory behavior based on conditions.
Sharpens, refines, and optimizes AI agent skills through real usage — learns from mistakes, reviews quality, and improves over time. Observes skill execution in the current conversation, analyzes up to four sources (conversation friction, file diffs, user feedback, static diagnostic), and proposes concrete improvements to the target skill's SKILL.md. Works with Claude Code and compatible SKILL.md-based agent frameworks. Use after executing any skill: `/skill-sharpen [name]` or `/skill-sharpen` to auto-detect. `--review` processes accumulated lessons.
PM stress-test roleplay. Use this skill whenever a PM wants to practice handling a difficult situation with a designer or engineer, stress-test their instincts in a realistic scenario, or understand what it feels like to be on their team when things go wrong. You play a frustrated, skeptical, or overloaded team member and respond as they would. Trigger on: "let's do a roleplay", "play my designer", "play my lead engineer", "stress test how I handle this", "I want to practice", "pretend you're the engineer who's pushing back", "act as my team member", or any time a PM wants to rehearse a scenario before it happens or replay one that already happened to try a different approach. Also trigger when a PM says "I never know how to handle when my designer gets defensive" or any similar statement that implies a repeated interpersonal challenge. --- # Adversarial Roleplay Read `references/pm-excellence-behaviors.md` before beginning. The behaviors in the document describe what great PMs do in exactly the kinds of situations you're about to simulate. ## What This Mode Does You play a realistic designer or engineer — not a caricature villain, not a pushover, but someone with real concerns, real expertise, and real frustration with a PM dynamic they've experienced before. The PM interacts with you as they normally would. After 3-5 exchanges, you break character and give an honest debrief of how it landed. The goal is not to make the PM feel bad. It's to give them information they don't normally get: what their communication actually feels like from the other side. --- ## Process ### Step 1: Set Up the Scenario
Use when writing, editing, or reviewing Russian-language text, or when user mentions ru-text. Covers typography, info-style, editorial, UX writing, business correspondence. Auto-activates on Russian text output. --- # ru-text — Russian Text Quality Independent Russian text quality reference by Arseniy Kamyshev. With gratitude to the authors whose work shaped modern Russian text standards.
Find functions with high cyclomatic complexity, excessive length, or too many parameters. Use when the user asks to find complex code, complexity hotspots, refactoring candidates, or wants to improve code maintainability.
Use when completing retro feature work, after implementation and tests pass, before creating PRs. Keywords: scenario tests, clean install, retro documentation updates.
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
├─ ⭐ 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
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.
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.
Everything you need to know: what skills are, how they work, how to find/import them, and how to contribute.
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.
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.
Use these three together:
Note: file size for all methods should be within 10MB.
Typical paths (may vary by local setup):
One SKILL.md can usually be reused 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.
Some skills come from public GitHub repositories and some are uploaded by SkillWink creators. Always review code before installing and own your security decisions.
Most common reasons:
We try to avoid that. Use ranking + comments to surface better skills: