You cannot access video content on your own. Use Cerul to search what was said, shown, or presented in tech talks, podcasts, conference presentations, and earnings calls. Use when a user asks about what someone said, wants video evidence, or needs citations from talks and interviews.
instruction layering with reusable, conditional instruction files
当用户希望把课堂逐字稿、OCR 笔记、截图资料或零散学习内容整理成结构化的 WPS 学习笔记时使用此 Skill。适合课堂记录整理、培训复盘、补课笔记汇总、课程主笔记构建等场景，尤其适合原始材料很乱、但最终需要一篇可复习、可回看、可继续补充的主笔记时。
Use when user wants to write novels, manage outlines, characters, world-building, style, workflows, or chapter review. Triggers: 写章节, 生成大纲, 创建角色, 世界观, 风格, 伏笔, 小说
Save and organize links for later reading. Use when: user wants to save a URL, manage bookmarks, find a saved link. Don't use when: user just wants to read/fetch a URL (use web_fetch) or research a topic (use research skill).
Drop this file into your project (e.g. reference it from `CLAUDE.md`, `.cursor/rules`, or paste it into your AI context) so your AI assistant knows how to help you use Oxmgr.
Design system expertise — component creation, token management, Figma workflow.
广告合规审核技能，用于审核广告素材是否符合中国广告法及相关法规。适用场景：(1) 用户提交广告文案、广告素材要求合规审核时；(2) 用户提到"广告审核""广告合规""广告法审查"等关键词时；(3) 用户要求检查广告内容是否存在违法违规风险时；(4) 用户提交房地产、食品、医疗、药品、互联网等行业广告要求专项审核时。审核依据涵盖《广告法》《反不正当竞争法》及行业专项法规。
Use when setting up a project environment — installing dependencies, verifying builds, detecting the tech stack. Covers Phase 0 of a new session.
PrediHermes, also named geopolitical-market-sim, tracks geopolitical topics, selects relevant open Polymarket contracts near deadline, generates MiroFish seed packets from WorldOSINT data, runs or inspects MiroFish simulations, and resolves historical branches or injected actors from local artifacts. Use this when the user wants PrediHermes, recurring geopolitical prediction-market monitoring, topic tracking, counterfactual actor injection, simulation comparison, or a local automation path from news + markets into MiroFish.
Investigate data incidents and find root causes using Monte Carlo's observability data. Guides the agent through systematic investigation: alert lookup, lineage tracing, ETL checks, query analysis, and data profiling. Activates when a user asks about data issues, incidents, alerts, or why data looks wrong.
REST API design with resource naming, pagination, versioning, and OpenAPI spec generation
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:
