- 📄 SKILL.md
developer
Practical software development workflow for editing, testing, searching, and explaining code changes.
Practical software development workflow for editing, testing, searching, and explaining code changes.
Structured development workflow with Plan/Implement/Review phases, QA validation, context management, and audit requirements. Enforces no remote writes, mandatory checkpoints, and verifiable audit reports. Use when working on complex tasks, multi-file changes, or when the user mentions planning, workflow, implementing features, or needs structured development guidance.
Swap between local n-dx development build and published npm version
AI-augmented development controls, GitHub Copilot governance, LLM security, AI-generated code review per Hack23 Secure Development Policy
iOS 26 / iPadOS 26 Liquid Glass design system for web and app development. Exact design tokens, component specs, layout patterns, and animation parameters from Apple's official Figma Community Kit.
AI Driven Development Lifecycle tracking — canonical formats for all project tracking files. Invoke before writing to any tracking file or before compaction.
Universal Server-Driven UI (SDUI) Engine for building JSON-driven React interfaces with Shadcn design quality. Use this skill for all ObjectUI development tasks including schema-driven page building, plugin development, component integration, testing, auth/permissions, data integration, i18n, mobile responsiveness, project setup, and console development. Triggers on any mention of ObjectUI, SchemaRenderer, JSON schemas, SDUI, metadata-driven UIs, or Object Stack ecosystem work.
FastAPI Best Architecture (fba) project development guide. Provide complete architecture specifications, coding styles, and plugin development guidance.
Orchestrate AI agents (Claude Code, sub-agents, etc.) for software development workflows. Use when coordinating multiple AI assistants or planning AI-driven development processes.
[Agentic] Agile BA Practices - User Story Mapping, MVP Definition, Hypothesis-Driven Development
Manage development environment containers (devboxes) with web-accessible VSCode, VNC, and app routing via Traefik or Cloudflare Tunnels. Use when the user asks to create, start, stop, list, or manage devboxes/dev environments, spin up a development container, set up a coding sandbox, or configure the devbox infrastructure for the first time (onboarding).
[Agentic] Agile BA Practices - User Story Mapping, MVP Definition, Hypothesis-Driven Development
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: