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
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Postgres performance optimization and best practices from Supabase. Use this skill when writing, reviewing, or optimizing Postgres queries, schema designs, or database configurations.
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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.
Scan and manage brownfield repository defaults for interviews
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.
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Multi-perspective academic paper review with dynamic reviewer personas. Simulates 5 independent reviewers (EIC + 3 peer reviewers + Devil's Advocate) with field-specific expertise. Supports full review, re-review (verification), quick assessment, methodology focus, and Socratic guided modes. Triggers on: review paper, peer review, manuscript review, referee report, review my paper, critique paper, simulate review, editorial review.
Azure AI Agents Persistent SDK for .NET. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools. Use for agent CRUD, conversation threads, streaming responses, function calling, file search, and code interpreter. Triggers: "PersistentAgentsClient", "persistent agents", "agent threads", "agent runs", "streaming agents", "function calling agents .NET".
Use acpx as a headless ACP CLI for agent-to-agent communication, including prompt/exec/sessions workflows, session scoping, queueing, permissions, and output formats.
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Finds duplicate business logic spread across multiple components and suggests consolidation. Use when asking "where is this logic duplicated?", "find common code between services", "what can be consolidated?", "detect shared domain logic", or analyzing component overlap before refactoring. Do NOT use for code-level duplication detection (use linters) or dependency analysis (use coupling-analysis).
Standard collaboration patterns for all squad agents — worktree awareness, decisions, cross-agent communication
Install, configure, and start FireRed-OpenStoryline from source on a local machine. Use when a user asks to set up OpenStoryline, troubleshoot installation, download required resources, fill config.toml API keys, or launch the MCP and web services, as well as Chinese requests like “安装 OpenStoryline”, “配置 OpenStoryline”, “启动 OpenStoryline”, “把 OpenStoryline 跑起来”, “修复 OpenStoryline 安装问题”, or “排查 OpenStoryline 启动失败”.
