agentleFS
Sign inStart free
shali10shali10/awesome-agent-skills/skills/agent-reach/SKILL.md

agent-reach

Skill1 starsChanged 2 months agoMITView on GitHub

Use when searching or extracting multimedia content including Bilibili/YouTube video subtitles, RSS feeds, and clean web text.

44 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use humanizer-zh, obsidian-bases and 9 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • huangservaSkill

    humanizer-zh

    Also in 3 projects that use this

  • wangzhuofengSkill

    obsidian-bases

    Create and edit Obsidian Bases (.base files) with views, filters, formulas, and summaries. Use when working with .base files, creating database-like views of notes, or when the user mentions Bases, table views, card views, filters, or formulas in Obsidian.

    Also in 3 projects that use this

  • wangzhuofengSkill

    obsidian-markdown

    Create and edit Obsidian Flavored Markdown with wikilinks, embeds, callouts, properties, and other Obsidian-specific syntax. Use when working with .md files in Obsidian, or when the user mentions wikilinks, callouts, frontmatter, tags, embeds, or Obsidian notes.

    Also in 3 projects that use this

  • OpenAISkill

    brainstorming

    You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.

    Also in 7 projects that use this

  • OpenAISkill

    using-git-worktrees

    Use when starting feature work that needs isolation from current workspace or before executing implementation plans - ensures an isolated workspace exists via native tools or git worktree fallback

    Also in 4 projects that use this

  • PostHogSkill

    karpathy-guidelines

    Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria. Based on https://github.com/multica-ai/andrej-karpathy-skills.

    Also in 3 projects that use this

  • +4 more from openai

The file

We split this skill into the rules it gives an agent

1 rule. 0 are common, 0 are distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 21 edited versions we read keep these.

  • 0

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Downloading entire video files unnecessarily: Always pass --skip-download to yt-dlp when only transcript/subtitle metadata is needed.

    line 43

“Common” is measured: kept by at least 6 in 10 of the 21 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Agent Reach — Multimedia & Clean Content Extraction

Overview

Agent Reach empowers AI Agents to break through plain HTML web boundaries, enabling direct extraction and synthesis of multimedia content including YouTube subtitles, Bilibili video transcripts, RSS subscription feeds, and clutter-free web markdown.

When to Use & When NOT to Use

When to Use

  • Extracting subtitles/transcripts from YouTube or Bilibili videos for summarization.
  • Querying RSS/Atom feeds for continuous tracking of newsletters, blogs, and podcasts.
  • Extracting clean, ad-free Markdown from web pages via reader APIs.
  • Cross-platform technical topic research across video and text sources.

When NOT to Use

  • Simple static web downloads where standard curl or requests is sufficient.
  • Large video/audio binary file processing (use ffmpeg or media_info instead).
  • Platforms requiring active browser UI automation (use CDP browser tools instead).

Core Workflow & Tool Commands

Target SourceTool / CommandOutput FormatKey Flags
YouTube Subtitlesyt-dlp --write-auto-subs --sub-lang "zh-Hans,en" --skip-download <URL>VTT / SRT Subtitles--skip-download (No heavy video)
Bilibili Transcriptsbili video <BV_ID> --subtitlesJSON / Plain TextExtracts native AI/CC subtitles
Clean Web Textcurl -s https://r.jina.ai/<URL>Clean MarkdownStrips ads, navbars, and boilerplate
RSS / Atom Feedspython3 -c "import feedparser; ..." or curl -s <Feed_URL>Structured Feed XMLParse titles, links, published dates

Common Pitfalls

  1. Downloading entire video files unnecessarily: Always pass --skip-download to yt-dlp when only transcript/subtitle metadata is needed.
  2. Cloudflare WAF on RSS feeds: Direct curl to sites like V2EX or forums may return 403 Forbidden; use public RSSHub instances (e.g. rsshub.app) as a transparent proxy.
  3. Missing subtitle tracks: Some videos only have auto-generated subtitles; specify fallback languages like --sub-lang "zh-Hans,zh,en,auto".

Verification Checklist

  • yt-dlp --version returns version ≥ 2024.01.01.
  • Subtitle extraction test: yt-dlp --list-subs <Test_URL> lists available tracks.
  • Web reader test: curl -fsS https://r.jina.ai/https://example.com returns clean markdown.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

Check your setup, free