Citedy

Extract all available public Instagram data from a URL via AnyCrawl

Auto-detect TikTok, Instagram, or YouTube URL and extract all available public data via AnyCrawl

Extract all available public TikTok data from a URL via AnyCrawl

Extract all available public YouTube watch-page data from a URL via AnyCrawl

Parallel multi-agent code review with 4 specialized reviewers (requires Claude Code Agent Teams)

Validate and audit quality of AI agent slash commands and skills — checks YAML frontmatter, description length, jargon, directive verbs, and duplicates. Run after adding or editing commands.

Extract public Instagram data from a single URL through the AnyCrawl Scrape API. Use when a user provides an Instagram profile, reel, or post URL and wants as much structured data as possible from that one link, including normalized JSON plus the raw AnyCrawl markdown, HTML, links, and screenshot artifacts.

Route a public social-media URL to the correct AnyCrawl skill and extractor automatically. Use when a user provides a TikTok, Instagram, or YouTube link and wants one skill that detects the platform, runs the right AnyCrawl-backed extractor, and returns the saved artifact path plus a compact execution summary.

Extract public TikTok data from a single URL through the AnyCrawl Scrape API. Use when a user provides a TikTok video, profile, or hashtag URL and wants as much structured data as possible from that one link, including normalized JSON plus the raw AnyCrawl markdown, HTML, links, and screenshot artifacts.

Extract public YouTube watch-page data from a single URL through the AnyCrawl Scrape API. Use when a user provides a YouTube watch link and wants as much structured data as possible from that one video, including normalized JSON plus the raw AnyCrawl markdown, HTML, links, transcript-bearing content, and screenshot artifacts.

Parallel multi-agent code review using Agent Teams with 4 specialized reviewers. Spawns a coordinated team of security, performance, test coverage, and code quality agents. Teammates can share findings with each other for cross-domain insights. Produces unified report with severity-ranked findings saved to /output/. Requires Claude Code with Agent Teams support (TeamCreate, TaskCreate, SendMessage). Use when asked to: - "review code", "code review", "check my changes", "review PR" - "security review", "performance review", "test coverage check" - "full code review", "multi-agent review", "parallel review" Examples: - `/code-review-team` -- review uncommitted changes (git diff) - `/code-review-team 42` -- review PR #42 - `/code-review-team --scope=security` -- security-only review of uncommitted changes - `/code-review-team 42 --scope=performance,tests` -- specific reviewers for PR

Install and operate a portable OpenAI Symphony + Linear orchestration setup in any Git repository. Use when the user wants a one-command local Symphony runner, a reusable WORKFLOW template, background launch scripts, or a Codex wrapper that restarts Symphony automatically when reopening the CLI.

Search domains, compare prices, find promo codes, get purchase recommendations. Use when user wants to buy a domain, check domain prices, find domain deals, compare registrars, or search for .ai/.com domains.

Select semantically appropriate icons for websites using Lucide, Heroicons, or Phosphor. Covers concept-to-icon mapping, React/HTML templates, and tree-shaking patterns. Use when: building feature sections, service grids, contact info, navigation, or any UI needing icons. Prevents emoji usage, ensures consistency.

Analyze prompts for constraint complexity, audit failure risks, and generate optimized rewrites for Claude and GPT. Based on "How LLMs Follow Instructions" (Rocchetti & Ferrara, 2026) constraint taxonomy research. Use when reviewing prompt files, optimizing prompt bases, or auditing instruction quality. Trigger phrases — "analyze prompt", "prompt audit", "optimize prompts", "constraint analysis", "prompt review", "check prompts".

When the user wants to add, fix, or optimize schema markup and structured data on their site. Also use when the user mentions "schema markup," "structured data," "JSON-LD," "rich snippets," "schema.org," "FAQ schema," "product schema," "review schema," or "breadcrumb schema." For broader SEO issues, see seo-audit.

Validate and audit quality of AI agent slash commands (.claude/commands/*.md) — checks YAML frontmatter, description length, jargon detection, directive language, and duplicate detection. Use when creating, editing, or auditing project commands and skills. Run proactively after adding new commands.

Spawning Plan. Use when user wants to spawn agents, create a team, or coordinate multiple agents. Automatically gathers context, asks team topology questions, outputs clean TEAM PLAN markdown, and gets user approval. 3 steps: context gathering -> questions -> present plan. Requires Claude Code with Agent Teams support.

Analyze Claude Code token consumption and estimated costs across projects and sessions. Use when user asks about token usage, costs, spending, billing, how much they've used, or wants to optimize their Claude Code usage patterns.