A high-performance skill for deep Instagram content exploration, trend analysis, and audience signal discovery.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install keyapi-instagram-content-discovery
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install keyapi-instagram-content-discovery using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
This skill provides a comprehensive toolkit for AI agents to interact with the vast Instagram content ecosystem through the KeyAPI MCP service. It allows developers to programmatically search for posts, analyze comment sentiment, track trending music, and explore geographic locations to surface actionable insights. By integrating this into your workflow, you can automate the process of gathering content intelligence using Openclaw Skills.
The skill is designed for high-scale discovery, supporting everything from simple post lookups to complex nested comment analysis and geo-targeted research. It handles the complexities of ID normalization and real-time data retrieval, making it an essential asset for building sophisticated social media monitoring and analysis tools.
# 1. Install necessary SDK dependencies
npm install
# 2. Configure your KeyAPI environment variable
export KEYAPI_TOKEN=your_token_here
# 3. Verify the setup by listing the available Instagram discovery tools
node scripts/run.js --platform instagram --list-tools
The skill organizes its retrieved intelligence in a structured local cache directory to optimize performance and reduce redundant API calls. Data is partitioned by date and tool name:
| Level | Component | Description |
|---|---|---|
| Root | .keyapi-cache/ |
Base directory for all cached content. |
| Date | YYYY-MM-DD/ |
Daily partitions to ensure data freshness. |
| Tool | get_post_info/, etc. |
Sub-directories categorized by the specific API node. |
| File | {params_hash}.json |
Individual JSON responses indexed by hashed input parameters. |
pagination_token, end_cursor, and max_id.Loading
An intelligent framework that translates ambiguous user input into structured requirements and standardized delivery checklists.

A specialized auditing tool designed to test, score, and optimize AI agent skills against the official Anthropic and Openclaw Skills specifications.

An automated culinary assistant that generates professional, bilingual recipe cards with seasonal recommendations and step-by-step instructions.

An AI-driven analytics skill for real-time Polymarket discovery, highlighting trending markets, high-momentum new listings, and smart money activity.

A comprehensive data analysis toolset for exploring Amazon marketplaces, products, sellers, and influencer storefronts at scale.

A file-based memory persistence system that ensures AI agents retain context, user preferences, and project history across multiple sessions.








































