Use when creating new skill repositories from scratch, standardizing or validating existing skill repo structure, setting up composer/release workflows for skills, configuring split licensing (MIT + CC-BY-SA-4.0), or fixing plugin.json / SKILL.md validation errors.
Generate Russian academic reports (.docx) formatted to GOST 7.32 — лабораторные работы, отчёты по практике, курсовые проекты, ВКР, домашние задания для любого российского вуза (ИТМО, МГУ, СПбГУ, МФТИ, Бауманка, и т.д.). Use this skill whenever the user asks for a report по ГОСТ, лабораторную работу, отчёт по практике, курсовой проект, ВКР, или любой Russian-language student paper that needs proper title page, headings, page numbers, figure/table captions. Trigger this skill even if the user only mentions "лабораторная" or "отчёт" without naming a specific university — Russian-language context (references to ИТМО / МГУ / СПбГУ / университет / ГОСТ) is enough. ITMO is the default profile (preserves the original itmo-report behavior); other universities are supported via UniversityProfile.
Obol Stack development, testing, and validation. Covers LLM routing through LiteLLM, x402 payment flow (sell/buy), BDD integration tests (Gherkin/godog), ERC-8004 registration, and obol CLI wrappers.
Browse the web with a real browser using playwright-cli. Navigate pages, click elements, fill forms, take screenshots. Use when WebFetch isn't enough — pages need JavaScript, interaction, or visual capture.
Use the t2i CLI to generate AI images from text prompts via Microsoft Foundry providers (FLUX.2, MAI-Image-2). Activate when the user asks to generate images, automate image creation in scripts, or set up image generation for CI/CD.
Analyze comp titles, genre trends, pricing strategies, and market positioning
Implements features, functionalities, and improvements to fdb and its packages. Use when creating new features, adding new commands, or improving existing functionality in fdb or fdb_helper.
Set up, validate, and reconfigure wiki-config.md for the llm-wiki skill suite. Use when the user says /wiki-config, asks to "set up my wiki", "configure wiki", "initialize wiki config", mentions "page structure problems", "header errors", "schema issues", or when any wiki skill reports a missing or invalid config or schema file. Owns the interactive configuration flow and schema management for the wiki system.
A production-grade framework for long-running, autonomous agents based on Harness Engineering principles. Features three-layer self-healing memory, circuit breaker protection, KAIROS dream-mode consolidation, and multi-agent coordination. When a user describes a task idea, Agent automatically initializes the workspace, fills all template files, sets up the cron schedule, and begins execution immediately.
Assemble generated sprint fragments into a complete, buildable project. This is the final step in the greenfield pipeline after `codd implement`.
Fast headless browser for QA testing and site dogfooding. Navigate pages, interact with
A helpful skill that does many things
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:
