- 📄 SKILL.md
alphaxiv-paper-lookup
Look up any arxiv paper on alphaxiv.org to get a structured AI-generated overview. This is faster and more reliable than trying to read a raw PDF.
Look up any arxiv paper on alphaxiv.org to get a structured AI-generated overview. This is faster and more reliable than trying to read a raw PDF.
Trigger when building or modifying Talon UI, HUD, overlay, notification, cheatsheet, or using ui_elements.
Analyze higher-level patterns in Claude Code usage. Outputs (a) graphic monthly/weekly digest with metaphors — aquarium of biomes (🐋🦈🐬🐟🦐🦠), archetypes (⚙️🔬🌐🛠📝🔍🏗💬), rhythm, stack palette, DORA radar (CFR + lead time + pushes), friction (compacts/pivots/subagents); (b) per-session parquet bundles for further analysis (biome, archetype, rhythm, growth, milestones, idle gaps, subagent pyramids, compact patterns, parallelism, burst classes, topics). Use when the user asks about weekly/monthly reports, session biomes, productivity profiles, "what kind of work was done", when a session became a whale, DORA metrics, or wants drill-down view of a specific session.
Protocol for interacting with the OntoSkills MCP server to discover, evaluate, and compose skills from the compiled knowledge graph.
Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria.
Schedule deferred or recurring work via the isanagent cron tool—add/remove jobs with correct runtime context fields.
Write idiomatic Zig code following the Zen of Zig philosophy. Use for systems programming with Zig (.zig files), covering manual memory management with allocators, error unions and explicit error handling, compile-time programming (comptime), data-oriented design, and the new async/Io model. Applies functional programming parallels (Result types, ADTs, explicit effects) for C-free systems development.
A demonstration of the structcli library with beautiful CLI features. Use when you need to: display logs for a service, optionally streaming with --follow, demonstrate that flagpreset aliases are syntactic sugar and still flow through transform and validate, start the server with the specified configuration, print version information, add a new user to the system with the specified details.
Retrieve customer service templates from docs/data/templates.json, fill variables, and generate ready-to-send ecommerce support replies by platform, industry, and scenario.
重逢 - 让逝去的亲人以另一种方式继续陪伴
Design presentation slides, infographic pages, and PPT-style visuals as 1600x900 HTML slides with optional PPT export. Use when the agent needs to pick or explain a slide style, recommend styles based on content, generate one or more static HTML slides, support `background_mode` paper or white for compatible light styles, or render finished slides into a high-fidelity image-based PPTX.
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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: