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Import Skills

vtex vtex
from GitHub Business & Operations
  • 📄 SKILL.md

architecture-well-architected-commerce

Apply when scoping, reviewing, or documenting cross-cutting VTEX commerce architecture across storefront, IO, headless, marketplace, payments, or any other VTEX module. Grounds work in the Well-Architected Commerce framework—Technical Foundation (reliability, trust, integrity; security, infrastructure, compliance), Future-proof (innovation, simplicity, efficiency; scalable and adaptable solutions), and Operational Excellence (accuracy, accountability, data-driven improvement; process and customer experience). Routes implementation detail to product tracks (IO caching and paths, Master Data strategy, marketplace integrations). Use for solution design, architecture reviews, and RFP-level technical structure.

0 9 9 days ago · Uploaded Detail →
googs1025 googs1025
from GitHub Development & Coding
  • 📁 agents/
  • 📁 lang/
  • 📁 scripts/
  • 📄 context-mgmt.md
  • 📄 error-handling.md
  • 📄 SKILL.md

code-explorer

Deeply read and explain unfamiliar codebases. Use when Codex needs to explain a file or module, trace a function or request flow, map a project's architecture, clarify design intent, or review which parts of the code can be improved or extended. 适用于:解释一个文件或模块是做什么的、追踪函数或请求的执行流程、梳理项目架构、说明为什么这样设计、分析一段代码的核心逻辑,或评估哪些部分可以优化、重构、改进或扩展。

0 8 11 days ago · Uploaded Detail →
rafaelolsr rafaelolsr
from GitHub Development & Coding
  • 📁 references/
  • 📁 templates/
  • 📄 SKILL.md

archflow

Analyzes a codebase and generates animated HTML architecture reports — beautiful, bespoke visualizations with interactive animated diagrams showing how the system works. Use this skill whenever the user asks to "visualize the codebase", "explain the architecture", "generate a diagram", "show how the code flows", "create an architecture diagram", "animate the data flow", "explain this repo visually", "show me how this works", or "generate an architecture report". --- # Codebase Visualizer Analyzes a codebase and produces beautiful, self-contained HTML architecture outputs with animated flow diagrams. =================================================================== OUTPUT MODES =================================================================== /archflow → Full architecture report (default) /archflow-diagram → Animated diagram only (legacy, self-contained) /archflow-slides → Slide deck presentation =================================================================== WORKFLOW — FULL REPORT (default: /archflow) =================================================================== 1. ANALYZE Read references/analysis.md → scan the codebase Read references/layouts.md → decide the diagram layout pattern 2. THINK (commit to a visual direction before coding) Read references/design-system.md → CSS patterns library Read references/libraries.md → fonts, Mermaid, CDN imports Read references/design-qa.md → quality gates

0 8 12 days ago · Uploaded Detail →
paivot-ai paivot-ai
from GitHub Data & AI
  • 📄 SKILL.md

c4

Architecture-as-code using C4 model and Structurizr DSL. Use when the project has `architecture.c4` enabled in settings, or when the user asks about C4 diagrams, Structurizr, architecture boundaries, or dependency rules. Teaches agents how to maintain a canonical architecture model alongside ARCHITECTURE.md, declare machine-checkable boundaries, and export diagrams.

0 8 13 days ago · Uploaded Detail →
jgnoonan jgnoonan
from GitHub Development & Coding
  • 📁 assets/
  • 📁 references/
  • 📄 SKILL.md

vibeArchitecture

Apply architectural guardrails when building software. Runs an intake questionnaire to determine the project's tier, then enforces security, reliability, and best practice rules appropriate to the tier while writing code.

0 7 9 days ago · Uploaded Detail →
antonio0720 antonio0720
from GitHub Content & Multimedia
  • 📁 .github/
  • 📁 examples/
  • 📁 references/
  • 📄 CHANGELOG.md
  • 📄 CHEATSHEET.md
  • 📄 CONTRIBUTING.md

writing-intelligence

Sovereign Writing Intelligence Compiler v2.0 — 7-pass pipeline, signature-grade prose, zero AI residue. Fiction intelligence engine: chapter construction, 12 character roles, dialogue warfare (22 techniques, 9 tension elements), power dynamics, 8-phase tension compression, thriller architecture, transmedia deepening. 7 scoring systems. 16 genres. 8 voices. Trigger on: write, rewrite, edit, draft, revise, ghostwrite, prose, essay, chapter, sermon, speech, pitch, memo, narrative, dialogue, scene, thriller, suspense, tension, pacing, character voice, foreshadowing, subtext, score draft, grade writing, audit prose, anti-slop, AI detection, writing quality, improve writing, chapter construction, scene architecture, character roles, power dynamics, confined space, staging, cold open, fatal detail, silence, callback, worldbuilding, transmedia, lore bible, audio drama, scene audit, role audit, power map, plant audit, novel, short story, screenplay, creative writing, thriller writing, mystery, espionage. --- # Writing Intelligence Compiler v2.0 ## Purpose This skill is a multi-pass writing compiler. It does not merely remove AI tells. It produces prose with authorial identity, argument force, epistemic discipline, structural unpredictability, and sentence-level variance that no statistical detector can flag — because the output is genuinely well-written by human standards, not merely cleaned of machine patterns. **v2.0 additions**: Chapter construction doctrine, 12 character role archetypes, advanced dialogue warfare system (22 techniques + 9 tension elements), scene-level architecture (setting as force, props as weapons, power dynamics through staging, psychological warfare mechanics, pacing compression models). **Center of gravity**: Produce signature-grade writing with force, truth discipline, and authorial sovereignty — at every level from sentence to scene to chapter to arc. --- ## Architecture: 7-Pass Compilation Pipeline Every piece of writing processed by this skill

0 6 11 days ago · Uploaded Detail →
ushkinaz ushkinaz
from GitHub Development & Coding
  • 📄 SKILL.md

architect-review

Master software architect specializing in modern architecture patterns, clean architecture, microservices, event-driven systems, and DDD. Reviews system designs and code changes for architectural integrity, scalability, and maintainability. Use PROACTIVELY for architectural decisions.

0 6 12 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