The Skill plugin gives the agent a persistent, structured knowledge base. Knowledge is organised into named **skills**, each containing any number of **items** — individual pieces of information. Items are indexed semantically, so the agent can search across all skills by meaning rather than exact keywords.
Self-host any open-source app on the user's own infrastructure (cloud VM, VPS, Raspberry Pi, localhost, k8s, PaaS). Walks the user through provisioning, DNS, TLS, SMTP, and hardening in phased + resumable workflows. 1446+ verified recipes plus live-derived fallback for the long tail. Agent-mode rules apply (no chat-paste credentials, no group-channel deploys).
Master Test Architect and Quality Advisor. Use when the user asks to talk to Murat or requests the Test Architect.
Query .NET APIs across NuGet packages, platform libraries, and local files. Search for types, list API surfaces, compare and diff versions, find extension methods and implementors. Use whenever you need to answer questions about .NET library contents.
This skill should be used when the user asks to "run acli jira commands", "create a Jira issue", "search Jira issues", "manage Jira projects", "transition Jira status", "check jira issue", "consistent with jira issue", or mentions ACLI, Atlassian CLI, Jira CLI, Jira issue keys (e.g. KAN-1, PROJ-123), or jira workitem/project/board/sprint operations via the command line.
Google Workspace CLI — Gmail, Calendar, Drive, Contacts, Sheets, Docs.
Guides architectural decisions for Deep Agents applications. Use when deciding between Deep Agents vs alternatives, choosing backend strategies, designing subagent systems, or selecting middleware approaches.
Deploy the opentraces.ai marketing site to Vercel production. Use when the user says "deploy site", "deploy to vercel", "push site", "ship the site", or "deploy-site". For a full coordinated release that includes a version bump and package publish alongside the site deploy, use /release-pack instead. --- # Deploy Site Deploy the Next.js marketing site (`web/site/`) to Vercel production. ## Context - **Project**: `opentraces` on Vercel (jayfareis-projects/opentraces) - **Framework**: Next.js 16 (App Router) - **Root directory**: Vercel is configured with root at `web/site/` - **Domain**: opentraces.ai - **Build**: `next build` (runs from `web/site/`) - **Version**: Auto-read from `src/opentraces/__init__.py` at build time via `next.config.ts` ## Steps ### 1. Verify build locally ```bash cd web/site && npm run build ``` If the build fails, fix issues before deploying. ### 2. Commit and push Ensure all changes are committed and pushed to `main`: ```bash git status git push origin main ``` ### 3. Deploy to Vercel Run the deploy from the **repo root** (not `web/site/`), because Vercel resolves the root directory from its project settings: ```bash cd /path/to/repo/root npx vercel --prod ``` ### 4. Verify Check the deployment URL in the Vercel output. The production URL is: ```
The universal tool adapter for AI agents. Search, install, and run packages from the anyclaw registry. Use anyclaw to access web APIs, data pipelines, CLI tools, and scripts as unified commands.
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.
Consult Snowflake CREATE AGGREGATION POLICY parameter reference before generating any CREATE AGGREGATION POLICY DDL.
Use when the task is dominated by large-context reading, synthesis, long-form drafting, bilingual or CJK writing, or second-opinion review rather than bulk code generation. Typical triggers include English or Chinese summaries of large source material, cross-file synthesis, terminology alignment, release-note drafting, and reviewer-style passes over documentation or generated output.
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:
