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anysiteio AI Skills

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Browse published AI skills maintained by anysiteio. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

6

Repository stars across indexed skills

39

Repository forks

4

Average repository stars per indexed skill

7

Repository stars may repeat across skills from the same repository.

6 skills

Browse skills

GitHub

skill-audit

anysiteio

Read-only static security audit of Claude Code skills, commands, and plugins. Analyzes SKILL.md frontmatter, body content, supporting scripts, and hooks for security risks. Use this skill when the user asks to...

GitHub

competitor-analyzer

anysiteio

Deep competitive intelligence combining web scraping, LinkedIn data, social media monitoring, leadership analysis, GitHub activity, Glassdoor sentiment, and community insights. Analyzes founders/C-level profile...

GitHub

person-analyzer

anysiteio

Deep multi-platform intelligence analysis combining LinkedIn (profile, posts, activity), Twitter/X (tweets, engagement), Reddit (discussions, community), web presence (articles, GitHub, blogs), and company inte...

GitHub

universal-search

anysiteio

Deep multi-platform intelligence search across ALL AnySite MCP sources (LinkedIn, Twitter, Instagram, Reddit, Y Combinator, web). Auto-detects search type (person, company, or topic) and performs CASCADING rese...

GitHub

vc-analyst

anysiteio

Universal VC investor analysis and outreach agent. Analyzes any startup project, understands fundraising stage, identifies ideal investor profile, scores investors, detects portfolio conflicts, generates person...

GitHub

anysite-icp-builder

anysiteio

Build and refine Ideal Customer Profiles (ICP) using real LinkedIn data via AnySite MCP. Analyzes existing customers, identifies patterns, generates scoring criteria, and finds lookalike prospects. Use when use...

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.