Free to get · One-click to use
Create or update ZKP2P provider templates (zkTLS/Reclaim) by capturing target-platform network requests, mapping user-specified proof fields (identity, account attributes, or transactions), and producing the JSON provider template. Use when asked to create a ZKP2P provider template, analyze network logs, or translate API responses into template selectors.
Use this skill whenever the user mentions IP geolocation feeds, RFC 8805, geofeeds, inetnum, inet6num, CIDR subnets, or wants help creating, tuning, validating, or publishing a self-published IP geolocation feed in CSV format. Also trigger when the user is a network operator, ISP, mobile carrier, cloud provider, hosting company, IXP, or satellite provider asking about IP geolocation accuracy, prefix mapping, or WHOIS geofeed attributes. Helps create, refine, and improve CSV-format IP geolocation feeds with opinionated recommendations beyond RFC 8805 compliance. Do NOT use for private or internal IP address management — applies only to publicly routable IP addresses.
This skill should be used when the user asks to "set up Clawdentity relay", "configure provider relay", "run provider doctor", "run provider relay test", "bootstrap registry", "redeem invite", "create agent credentials", "install connector service", or needs multi-provider relay onboarding with the `clawdentity` CLI.
Flutter clean architecture with Riverpod 3.x codegen, Freezed 3.x sealed classes, GoRouter, Hive CE persistence, and ShowcaseView guided tours. Use when building, reviewing, or refactoring Flutter apps that use Riverpod for state management. Covers feature module scaffolding, AsyncNotifier patterns, provider select optimization, Freezed unions and JSON serialization, GoRouter redirects, Hive repositories, pagination, forms, anti-patterns, and testing. Does NOT apply to Provider/BLoC/GetX, non-Flutter frameworks, backend-only Dart, or Firebase-only questions.
Build and integrate DRAIN providers for the Handshake58 marketplace. Use when the user wants to add a new provider, integrate an API, wrap a service, or build a custom tool as a paid DRAIN provider. Covers LLM proxies, API wrappers, and self-built services.
dsub job submission and monitoring for All of Us Researcher Workbench on Google Cloud. Use when: (1) submitting distributed computing jobs via dsub, (2) checking job status with dstat, (3) choosing machine types or disk configurations for cloud jobs, (4) debugging dsub failures or provider issues. Encodes provider quirks, machine type constraints, and the dsub_script()/check_dsub_status() patterns.
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:
