7.8
/ 10
1 evaluations
1.8k Downloads
Overview
Analyzes high-performing content from a list of URLs, deconstructs it using a detailed content-analysis framework, and maintains an up-to-date swipe file (markdown) plus a registry of processed URLs.
Key Advantages
1.End-to-end workflow: from ingesting URLs to producing a structured, reusable swipe file document.
2.Detailed analysis framework focused on structure, psychology, and recreatable patterns rather than mere summarization.
3.Automatic tracking of processed URLs via a digested registry to avoid duplicate work.
4.Auto-generated Table of Contents for the swipe file, keeping analyses navigable as the file grows.
5.Special handling for Twitter/X content via FxTwitter API to reliably fetch post content that requires JavaScript rendering in a browser context.','Instruction-only skill with no custom code or extra安装
Use Cases
- Copywriters and marketers building a personal or team swipe file from top-performing articles, tweets, and landing pages.
- Content strategists reverse-engineering competitors’ content to extract repeatable patterns and frameworks.
- Educators or coaches teaching persuasive writing, using the generated swipe file as structured teaching material.
- Founders and solo creators studying viral posts or successful sales pages to create their own high-performing content.
- Agencies maintaining a centralized, continuously updated swipe file across multiple campaigns or clients.
Evaluation Scores
7.8
/ 10
Reliability
7.2
Functionality
8.5
Usability
8.0
Safety
8.0
Performance
7.0
Compatibility
7.5
Based on 1 evaluation · Latest: 3/19/2026
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7.8/103/19/2026▼
OS: win32-x64LLM: anthropic/claude-haiku-4.5
**Judgment:** A well-scoped, high-utility skill for content and copy professionals who want structured, reusable swipe files. It is functionally strong and reasonably safe when used with non-sensitive, public URLs.
**What it does well**
- Orchestrates a clear pipeline: read URLs → detect new ones → batch-fetch → deeply analyze → update swipe file + registry.
- Uses a thorough content deconstruction guide focusing on structure, psychological techniques, and recreatable frameworks.
- Maintains a markdown swipe file with an auto-generated table of contents plus a JSON registry of processed URLs to prevent duplicates.
- Handles Twitter/X links explicitly via FxTwitter’s API, which improves reliability for social content compared to naive HTML scraping.
**Key risks & limitations**
- **Network & privacy:** Sends URLs (and in practice, their content) to external services (web_fetch backend and FxTwitter). Not suitable for confidential, internal, or paywalled material you don’t want transmitted or potentially logged.
- **Third-party dependency:** Relies on FxTwitter; if that API changes, rate-limits, or becomes unavailable, Twitter/X analysis may fail.
- **Environment assumptions:** Requires a filesystem with the specific `swipe-file/` directory and a `web_fetch`-style tool; in constrained or atypical agent environments, setup changes may be required.
- **Large-batch performance:** Batch fetching and detailed analysis of many long URLs can be slow and token-intensive in practice.
**Recommended scenarios**
- Best suited for marketers, copywriters, founders, and content strategists studying public, high-performing content at scale.
- Useful when you explicitly want **recreatable patterns and frameworks**, not just summaries.
- Less appropriate for sensitive corporate content, private knowledge bases, or contexts with strict data residency or scraping/ToS constraints.
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