Use the @steipete/oracle CLI to bundle a prompt plus the right files and get a second-model review (API or browser) for debugging, refactors, design checks, or cross-validation.
How to use Instagram CLI to interact with Instagram from the command line on behalf of a user. Use this skill whenever the user wants to send or read Instagram messages, check their inbox, reply to or unsend messages, or automate any Instagram DM workflow via the CLI. This includes tasks phrased as "message X on Instagram", "check my Instagram DMs", "send a photo to my friend", "read my unread Instagram threads", or any automation / scripting involving Instagram direct messages. --- # Instagram CLI — Agent Usage Guide Instagram CLI (`instagram-cli`) is a terminal client for Instagram. For agents, it exposes **one-turn commands** that print to stdout and exit — perfect for scripting and tool-use. > All one-turn commands require the user to already be logged in (`instagram-cli auth login`). > If a command returns an auth error, prompt the user to log in first. Do not attempt to login using the CLI by yourself. --- ## Thread Resolution Every command that targets a thread accepts a `<thread>` argument resolved in this order: 1. **Thread ID** (20+ digit number like `340282366920938463...`) — direct, zero extra API calls 2. **Username** — exact Instagram username (e.g. `johndoe`) 3. **Thread title** — fuzzy search across inbox (e.g. `"Book Club"`) **Best practice for multi-step workflows:** call `inbox --output json` first to get thread IDs, then pass those IDs directly to subsequent commands. This avoids redundant search API calls and is more reliable than username/title matching. --- ## JSON Output All commands accept `-o json` / `--output json`. Responses follow this envelope: ```json { "ok": true, "data": { ... } } { "ok": false, "error": "message" } ``` Always use `--output json` when you need to parse results programmatically. --- ## Commands ### List inbox ```bash instagram-cli inbox [--limit <n>] [--output json] ``` Returns recent threads. Each thread includes: `id`, `title`, `users`, `lastMessage`, `lastActivity`, `unread`. ```bash # Get 10 most recent threads as
MCP Agent Mail - Mail-like coordination layer for multi-agent workflows. Identities, inbox/outbox, file reservations, contact policies, threaded messaging, pre-commit guard, Human Overseer, static exports, disaster recovery. Git+SQLite backed. Python/FastMCP.
Create and configure Neuron AI agents with providers, tools, instructions, and memory. Use this skill whenever the user mentions building agents, creating AI assistants, setting up LLM-powered chat bots, configuring chat agents, or wants to create an agent that can talk, use tools, or handle conversations. Also trigger for any task involving agent configuration, provider setup, tool integration, or chat history management in Neuron AI.
A self-evolution engine for AI agents. Analyzes runtime history to identify improvements and applies protocol-constrained evolution.
Develop, debug, and deploy Apify Actors - serverless cloud programs for web scraping, automation, and data processing. Use when creating new Actors, modifying existing ones, or troubleshooting Actor code.
Austrian public transport (VOR AnachB) for all of Austria. Query real-time departures, search stations/stops, plan routes between locations, and check service disruptions. Use when asking about Austrian trains, buses, trams, metro (U-Bahn), or directions involving public transport in Austria.
VectCutAPI is a powerful cloud-based video editing API tool that provides programmatic control over CapCut/JianYing (剪映) for professional video editing. Use this skill when users need to: (1) Create video draft projects programmatically, (2) Add video/audio/image materials with precise control, (3) Add text, subtitles, and captions, (4) Apply effects, transitions, and animations, (5) Add keyframe animations, (6) Process videos in batch, (7) Generate AI-powered videos, (8) Integrate with n8n workflows, (9) Build MCP video editing agents. The API supports HTTP REST and MCP protocols, works with both CapCut (international) and JianYing (China), and provides web preview without downloading.
Provides agent-ready AXe CLI usage guidance for iOS Simulator automation. Use when asked to "use AXe", "automate a simulator", "tap/swipe/type on simulator", "describe UI", "take a screenshot", "record video", "batch steps", or "interact with an iOS app". Covers all commands including touch, gestures, text input, keyboard, buttons, accessibility, screenshots, video, and batch workflows.
Execute end-to-end Bilibili downloads with yutto. Use this whenever the user wants you to actually download a Bilibili 投稿视频、番剧、课程、收藏夹、稍后再看、合集、列表 or audio for them, or wants you to install/configure yutto and complete the download instead of merely explaining commands. This skill should verify installation and FFmpeg, check auth status, collect missing required inputs such as the link and download directory, then run the download.
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Provides adversarial code comprehension for security research, mapping architecture, tracing data flows, and hunting vulnerability variants to build ground-truth understanding before or alongside static analysis.
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:
