Write SEO pages that rank on Google AND get cited by LLMs. Uses live SERP data, 500-token chunk architecture, and the Reddit Test quality gate.
Triage a CVE / Dependabot alert in a JS/TS project and recommend the least-invasive fix. Walks the dependency chain, identifies the parent that blocks the patch, flags unmaintained packages, and only suggests a package-manager override as a last resort with explicit user confirmation. TRIGGER when the user asks to "fix a CVE", references a Dependabot alert URL (github.com/*/security/dependabot/*), mentions a CVE-YYYY-NNNN or GHSA-* identifier, or asks how to resolve a vulnerable transitive dependency.
Generate SITF-compliant attack flow JSON files from attack descriptions or incident reports. Use when analyzing supply chain attacks, breaches, or security incidents.
**Repository:** `https://github.com/richkuo/go-trader.git`
Use when user asks to 'lint agent configs', 'validate skills', 'check CLAUDE.md', 'validate hooks', 'lint MCP'. Validates agent configuration files against 385 rules across 10+ AI tools.
Build a ForgeCAD model while actively hunting for API friction — missing helpers, awkward patterns, bad defaults, verbose boilerplate. Use when asked to dogfood, stress-test the API, or build a model with the goal of improving ForgeCAD.
Helps write CUDA and HIP kernels using torch.utils.cpp_extension.load_inline(). Use when users want to write native GPU code (CUDA/HIP) inside a Python submission file.
TVC advertising creative director skill for Nano Banana Pro keyframe prompts and Seedance video scripts. Specialized for television commercials and brand advertising — from a product brief to production-ready keyframe prompts and cinematic video scripts. Three core capabilities: (1) Cinematic Product Breakdown — multi-phase product micro-films with precise camera choreography, component disassembly animations, feature visualization, and material macro shots; (2) Brand World Crosscut — interweaving product close-ups with in-context usage scenes via match cuts between phases (outdoor cameras with skydiving/skiing, luxury cars with mountain roads); (3) Lifestyle Film — product stays in the brand world throughout (worn/held/carried), highlighted through cinematography rather than studio cutaways, ideal for wearables and lifestyle products. Covers TVC narrative models, product cinematography, brand world integration, multi-grid storyboards, and video prompts. Use this skill whenever users want to create TVC ads, product commercials, brand films, product hero videos, or any advertising visual content — even if they just say 'help me make a product video', 'I need a TVC storyboard', or '帮我做一条产品广告'.
Query and sync YApi interface documentation. Use when user mentions "yapi 接口文档", YAPI docs, asks for request/response details, or needs docs sync. Also triggers when user pastes a YApi URL that matches the configured base_url.
Конфигурации запуска (env.json, launch.json). Используй, когда пользователь просит открыть env.json, launch.json, настройки запуска проекта, отредактировать конфигурацию запуска.
KQL language expertise for writing correct, efficient Kusto queries using the Fabric RTI MCP tools. Covers syntax gotchas, join patterns, dynamic types, datetime pitfalls, regex patterns, serialization, memory management, result-size discipline, and advanced functions (geo, vector, graph). USE THIS SKILL whenever writing, debugging, or reviewing KQL queries — even simple ones — because the gotchas section prevents the most common errors that waste tool calls and cause expensive retry cascades. Trigger on: KQL, Kusto, ADX, Azure Data Explorer, Fabric Eventhouse, log analysis, data exploration, time series, anomaly detection, summarize, where clause, join, extend, project, let statement, parse operator, extract function, any mention of pipe-forward query syntax.
Add a feature to an existing codebase with Codex-first multi-agent collaboration (Codex + Opus 4.6). Codex CLI is consulted in EVERY phase for scope analysis, architecture design, and implementation planning.
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:
