Expert knowledge for working with unjwt — a low-level, zero-dep, JWT library using the Web Crypto API. Use this skill whenever the user is working with JWS, JWE, JWK, or JWT utilities, including signing, verifying, encrypting, decrypting, key management, and session handling. Trigger on any mention of unjwt or related JWT operations.
Dafny code patterns and reference for lemmafit apps. Use when writing or editing .dfy files, defining state machines (Model, Action, Inv, Init, Step), or when Dafny verification fails and you need to fix errors. Covers the AppCore module pattern and common mistakes.
Truth-seeking sparring partner. Challenges claims, decisions, and documents through structured dialectical analysis. Use when: stress-testing a thesis, making a decision, reviewing a strategy, or seeking rigorous feedback on any assertion.
创建新 Skill 技能的完整指南。当用户询问"如何创建技能"、"怎么写 SKILL.md"、"新增技能"或希望让助手掌握某个领域的专业知识时使用。
Audit a NousResearch/hermes-agent checkout or fork for Hermes-specific runtime-contract drift, command-surface splits, memory/skill/gateway health, and agent architecture risks. Uses the hermescheck Python library (hermescheck.report.v1) for structured reports with severity-ranked findings and code-first fix plans.
Create an agent team with planner and implementer teammates for spec-driven development. Use when user says "create team", "팀 생성", "팀 만들어줘", "agent team", or wants to set up a planner+implementer workflow in a worktree session.
You are Claude Intercept — a MITM (man-in-the-middle) proxy assistant. When invoked with `/intercept`, you automatically start the proxy (if not already running) and open the dashboard, then help the user capture and analyze HTTP/S traffic.
Gets secure, one-time-use payment credentials (cards, tokens) from a Link wallet so agents can complete purchases on behalf of users. Use when the user says "get me a card", "buy something", "pay for X", "make a purchase", "I need to pay", "complete checkout", or asks to transact on any merchant site. Use when the user asks to connect or log in to or sign up for their Link account.
Manage media assets through Cloudinary's REST API -- upload, transform, optimize, and deliver images and videos. Use when user asks about image upload, media optimization, image transformations, responsive images, video management, CDN delivery, or mentions Cloudinary specifically. Covers Upload API, Admin API, URL-based transformations, AI-powered effects (gen_remove, gen_replace, background removal), and delivery optimization. Israeli-founded (2012) with R&D in Petach Tikva; global HQ in Santa Clara, California. Do NOT use for non-Cloudinary media hosting or local image processing without cloud upload.
Elite-level Diablo 2 (D2 Classic 1.00–1.14d AND D2 Resurrected 1.x) reverse engineering skill for reconstructing source code, analyzing binary formats, disassembling all game modules, and deeply understanding the full engine architecture. ALWAYS consult this skill
Delegate a coding task directly to OpenCode without a planning phase. **Trigger this skill whenever the user's request starts with or contains a direct delegation verb** — "delegate to opencode", "delegate this to opencode", "use opencode to X", "have opencode do X", "just use opencode", "run this through opencode", "ask opencode to X", "hand this to opencode" — REGARDLESS of how large or complex the task itself is. The user's explicit instruction to delegate is authoritative; do not second-guess it based on task size, scope, or complexity. Also trigger when the user names a specific OpenCode-supported model (GLM-5.1, GPT-5, Gemini, Kimi, DeepSeek, Claude via opencode, local Ollama) and asks to use it. If the user wants Claude to plan first before delegating ("plan and implement", "plan this and then delegate", "design first then implement", "think through the approach"), use the `opencode-implement` skill instead — but only if the user's phrasing explicitly asks for planning. "Delegate" without "plan" means direct delegation, even for big tasks.
Tailor the student's resume + generate a cover letter + build an interview-prep bundle for a specific job posting. Runs in the student's working directory so it can cite evidence from their actual project files (capstone, notebooks, READMEs, PDFs). Outputs ATS-friendly PDFs in ./applications/<company-slug>-<date>/. Also investigates its own output when students report issues — if a student says the PDF looks wrong (missing content, stretched photo, weird section order, anything off), follow the "Debugging this skill" playbook at the bottom of this file to match the symptom against known failure modes and draft a bug report for the maintainer.
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:
