Enhanced AI memory system — vector store, document-level MSA, knowledge graph, collision engine, executable skills, and closed-loop skill evolution.
AEO (Answer Engine Optimization / AI Visibility) audit skill. Checks 4 categories: AI bot access (robots.txt, GPTBot, ClaudeBot), structured data (Schema.org/JSON-LD), content structure, and technical factors (HTTPS, sitemap, llms.txt). Scores 0-100 with ROI-ranked recommendations and generates a print-ready HTML/PDF report.
This skill should be used when the user asks about "Ben Gurion airport", "TLV flights", "flight status", "departures from Tel Aviv", "arrivals at TLV", "is my flight on time", "flight to Amsterdam", "airport delays", "cancelled flights", "gate info", "terminal 3", "pickup from airport", "weather at destination", "flight delay history", "נתב״ג", "טיסות", "לוח טיסות", "מצב טיסה". Provides live flight data from Ben Gurion Airport (TLV), destination weather via Open-Meteo, and historical delay analysis via local SQLite database. Do NOT use for booking flights, non-TLV airports, or general travel planning.
Summon Dogdoing (刀盾狗) for deep analysis and help. | 手动召唤刀盾狗进行深度分析和帮忙。
Populate ward officer data using Parallel AI search and extract. Use when asked to "enrich ward", "populate ward data", "update officers", "refresh officer data", or "import ward officers".
Auto-correlation analysis for time series dependency and pattern detection
Guia profissional para criação de documentação completa de produto digital: MVP Scope, PRD e SPEC. Use este skill sempre que o usuário quiser definir, planejar ou documentar um produto digital, ideia de startup, feature ou sistema — mesmo que mencione apenas "quero criar um produto", "me ajuda a planejar isso", "preciso de um PRD", "quero escrever uma spec", "tenho uma ideia de app", "como estruturo isso", "me ajuda a pensar no escopo", ou qualquer variação. Aplique também quando o usuário apresentar um prompt de produto e pedir refinamento, análise crítica ou expansão. Este skill produz documentos técnicos profissionais com análise de mercado, decisões de stack, modelagem de dados, regras de negócio, roadmap, user flows, especificação por módulo e diagramas de sequência. Sempre gera um documento por vez, solicitando aprovação antes de avançar para o próximo: MVP Scope → PRD → SPEC → CLAUDE.md. --- # istofel_project_plan Skill profissional para geração de documentação técnica e estratégica de produto digital. Produz quatro documentos em sequência obrigatória: 1. **MVP Scope** — visão geral técnica e estratégica 2. **PRD** — requisitos detalhados de produto 3. **SPEC** — especificação técnica de implementação 4. **CLAUDE.md** — contexto de sessão personalizado para o agente de IA **Regra de ouro:** Gerar um documento por vez. Ao finalizar cada um, perguntar explicitamente se o usuário deseja prosseguir para o próximo. Nunca pular etapas. --- ## Princípios Gerais
当需要用 lark-cli 操作飞书多维表格（Base）时调用：适用于建表、字段管理、记录读写、视图配置、历史查询，以及角色/表单/仪表盘管理；也适用于把旧的 +table / +field / +record 写法改成当前命令写法。涉及字段设计、公式字段、查找引用、跨表计算、行级派生指标、数据分析需求时也必须使用本 skill。
Create formal, verifiable proofs of claims with machine-checkable reasoning. Use when asked to prove, verify, fact-check, or rigorously establish whether a claim is true or false — mathematical, empirical, or mixed. Trigger phrases: "is it really true", "can you prove", "verify this", "fact-check this", "prove it", "show me the logic". Do NOT use for opinions, essays, or questions with no verifiable answer.
Implement AI/ML security controls for prompt inspection, shadow AI discovery, and LLM data leakage prevention
Use to model a system's behavior as domain events, extract an event model from existing code, design event-driven architectures, or document workflows as timelines of commands, events, and state views
AKTIVIERT SICH AUTOMATISCH bei vagen Auftraegen. LIEBER EINMAL ZU OFT NACHFRAGEN als falsch implementieren. Erkennungsmerkmale (EINES genuegt!): - Auftrag <25 Woerter - Keine konkreten Dateinamen/Pfade - Vage Verben: besser, optimieren, fixen, machen, aendern, verbessern, anpassen, erweitern, refactoren, aufraumen, ueberarbeiten - Unsichere Sprache: irgendwie, vielleicht, mal eben, schnell, einfach, bisschen, koennte, sollte - Fehlende Erfolgskriterien: Kein damit, sodass, weil, um zu - Relative Begriffe ohne Kontext: schneller, besser, schoener, einfacher Output ist STRUKTURIERTES JSON fuer prompt-architect Skill.
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:
