Architects, generates, and validates Agent Skills. Enforces specification and best practices. Used any time an agent skill must be created or updated.
Migrates Maven projects to Gradle Kotlin DSL (build.gradle.kts) with version catalogs (libs.versions.toml). Covers single-module and multi-module projects, Spring Boot starter-parent conversion, dependency-scope and BOM mapping, Maven plugin to Gradle plugin translation, and Maven profile equivalents. Also supports a dual-build overlay mode that adds Gradle alongside Maven without removing pom.xml. Triggers on requests to convert pom.xml to Gradle, migrate from Maven to Gradle, generate build.gradle.kts, set up a Gradle version catalog from Maven, modernize a JVM build system, or add Gradle alongside Maven for gradual migration. Does not apply to Gradle-to-Maven conversion, authoring brand-new Gradle projects from scratch with no Maven source, Groovy DSL (build.gradle) authoring unrelated to migration, or non-JVM build tools (npm, Bazel, sbt, Make).
Experimental working-model protocol shipped with memesh v4.1. Status — protocol present + instrumented; effectiveness in real usage is being collected (see `memesh patterns`), not yet proven. Suggests a user-as-CTO / Claude-as-orchestrator / background-agents-as-engineers split. Claude routes work by verifiability, dispatches parallel background agents for high-verifiability technical work, and stays foreground only for strategic/understanding work that the user must own. Use as a default for non-trivial software tasks; report back when it helps or doesn't.
This skill should be used when the user needs to build Account-Based Everything (ABX) GTM strategies for complex B2B sales. Use when working on ABM strategy, ICP scoring, messaging architecture, product launches, or pipeline acceleration for companies with fewer than 500 accounts, $100K+ deals, and 6+ month sales cycles.
aqara-agent is an official Aqara Home AI Agent skill. It supports natural-language home and space management, device inquiry, device control, device logs, scene management (query, execute, and logs), automation management (query, detail, toggle, and logs), and energy / electricity-cost statistics (by device, room, or home). Examples: \"How many lights are at home?\", \"Turn off the living room AC.\", \"What are the temperature and humidity in the bedroom?\", \"Run the Movie scene.\", \"What automations do I have?\", \"How much the electricity bill for the past month is at home?\", \"Check automation execution in the bedroom for the last three days.\
Orchestrates the generate-review-revise loop using Python critic modules for quality assurance
Guidance skill for PydFC tutorial workflows, copy-paste examples, and evidence-based scientific response style.
Veille tech francophone et internationale via Flux (flux.yoandev.co), qui agrège 80+ blogs, podcasts et chaînes YouTube dev/IA/DevOps. Utilise cette skill dès que l'utilisateur demande son brief / newsletter / veille du matin, veut savoir "ce qui s'est passé cette semaine en tech", cherche des articles récents sur un sujet technique (IA, Symfony, Rust, PHP, DevOps, Cloud, etc.), demande un résumé de l'actualité dev, ou veut écouter/regarder des podcasts ou vidéos tech récents. Également quand l'utilisateur donne des thématiques en langage naturel ("fais-moi un brief sur l'IA et le backend PHP des 3 derniers jours") — la skill découvre les articles, l'agent sélectionne et synthétise.
Test coverage heatmap from lcov or JSON coverage data. Finds coverage reports, parses line coverage per file, and renders a color-coded file-tree heatmap as HTML. Opens in the system browser.
Strategic business analyst and requirements expert. Use when the user asks to talk to Mary or requests the business analyst.
Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".
Choose presentation-ready color palettes and font pairings for PPT/design tasks. Use when users ask for visual theme choices, brand-safe palettes, or font recommendations. Triggers include: 配色, 色板, 字体, color palette, font, PPT配色, 字体搭配.
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:
