Media Search logo

Media Search

Organization
taracodlabs
media-search

Find and play music/videos via youtube_search + browser_navigate

Overview

Publishertaracodlabs
Repositoryaiden
Skill namemedia-search
Stars
852
Forks
150
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by taracodlabs on GitHub. Read the source before you install it.

Installation

Install the Media Search AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/taracodlabs/aiden/tree/main/skills/media-search
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/taracodlabs/aiden.git /tmp/aiden
mkdir -p .claude/skills
cp -r /tmp/aiden/skills/media-search .claude/skills/media-search
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Media Search in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Media Search on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Media Search is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Media Search & Play

Resolve "play X" / "listen to X" / "find me a song" requests by chaining web_search (optional, for fuzzy intent) → youtube_search (REQUIRED, returns real watch URLs) → browser_navigate (REQUIRED, must use a URL that came back from youtube_search). Keep navigation, interaction and Evidence inside the owned Browser Session. Navigation alone does not prove playback.

<execute_action> The user's request authorizes the requested media action, subject to the runtime's approval and browser policy. Use the actual available controlled browser tools. External open_url launching is unavailable inside durable Jobs and is not a recovery path.

After navigation, inspect the player. If playback has not started, use the observed play control through an admitted browser action. Verify observable player state (for example paused=false and advancing currentTime, when supported) before claiming playback. A screenshot or loaded watch URL alone does not establish that audio is playing.

Do not bypass approval, login, CAPTCHA, browser policy, or autoplay restrictions. If a supported action or verification is unavailable, report that exact limitation. Never claim success from an attempted action. </execute_action>

<selection_rule> How strict you should be about picking a candidate from youtube_search depends on how specific the user's query is.

VAGUE query — no specific song or artist named. Examples: "play me a popular song", "play me a hindi song", "play something upbeat", "put on some jazz", "play a sad song".

→ Walk the youtube_search candidates top-down and pick the first one whose title does NOT match any of the anti-patterns below. That is the answer. Do not score candidates further; do not look for "the most official one"; do not compare view counts. The first non-anti-pattern wins.

Anti-pattern keywords (match case-insensitively against title):

  • "reaction", "reacting to", "react to", "first time hearing"
  • "they know every word", "knows every word"
  • "lyric video", "lyrics video"
  • "cover", "covered by", "cover by"
  • "compilation", "best of", "mashup", "mix"
  • "livestream", "live stream", "LIVE", "24/7", "stream"
  • "shorts" (the #shorts format)
  • "fan edit", "fan made", "fanmade", "edit by"
  • "version of", "remake", "tribute"
  • "1 hour", "10 hours", "loop", "extended"

Why this matters: vague queries on YouTube often surface reaction clips or lyric videos near the top because they pull engagement. The user said "play a popular song" — they want to hear the song, not someone reacting to it. The anti-pattern filter is what keeps the vague rule from opening "the way they know every word! 🧡" instead of the actual track.

If every candidate in the top 5 matches at least one anti-pattern, that is a legitimate fallback: take the honest-fallback path (results page).

SPECIFIC query — the user named a song or artist. Examples: "play Bohemian Rhapsody", "play Despacito", "play Tum Hi Ho", "play Sabrina Carpenter".

→ Require a substring match between the candidate's title field and either the song title (preferred) or the artist name (acceptable when artist-only was given). Pick the highest-ranked candidate that matches. Then open. Do not keep looking once a match is found — the top match is the answer.

Honest fallback (youtube.com/results) is for one situation only: youtube_search returned zero candidates, OR every candidate is structurally wrong (channel page only, livestream when the user wanted a song). It is NOT for "results exist but they don't feel polished enough." If youtube_search returned a list and you can't pick one, the rule above failed — re-read it. </selection_rule>

REQUIRED tool sequence (read this first)

Every successful run of this skill calls these tools, in order:

  1. web_search — OPTIONAL pass 1: identify the specific song title + artist. Skip this when the user already named a song.
  2. youtube_search — REQUIRED pass 2: get real /watch?v= URLs for that specific song. Query: <title> <artist> official audio.
  3. browser_navigate — exactly once, with a URL that came back from youtube_search (verbatim — copy the url field from the tool result, do not retype it from memory).

Then inspect playback through supported browser tools and retain action Evidence before reporting. Searches alone do not fulfill a playback request. The required search/navigation sequence does not replace runtime approval or verification. Copy real result URLs; never invent video IDs.

Anti-patterns the planner sometimes drifts into — do NOT do these:

  • ❌ Composing a /watch?v=ID URL from memory or prose. The 11 characters after v= are NEVER something you type — they are always copied verbatim from a youtube_search result. The provenance gate exists precisely because the model has been caught inventing IDs. Don't.
  • ❌ Skipping youtube_search. web_search returns prose snippets and articles ABOUT songs, not autoplay-friendly URLs. youtube_search is the only tool whose results clear the provenance gate.
  • ❌ Re-entering the media-search skill mid-run after the searches returned. The skill is already loaded; re-viewing wastes a turn and signals a hung agent. Run youtube_search, then browser_navigate.
  • ❌ Stopping after the searches and asking the user to confirm. The user's "play me a song" request is the consent — proceed to browser_navigate.
  • ❌ Picking a youtube_search result whose title does not contain the song you committed to. Artist-only match is not enough; "Alex Warren live stream" is not "Alex Warren — Ordinary."
  • ❌ Picking a result whose title says "live stream", "24/7", "lyric", "cover", "reaction", "best of", "compilation", "mashup", "1 hour", or "loop". Those don't match what the user asked for.

When to use

The user's request matches any of these patterns:

  • Direct play: "play Despacito", "play Bohemian Rhapsody"
  • Fuzzy play: "play me a popular song", "play something upbeat", "play a sad song"
  • Listen intent: "I want to listen to jazz", "put on some music"
  • Artist intent: "play kendrick lamar", "play some abba"
  • Video intent: "show me the latest Marvel trailer", "play that cooking video about ramen"

If the user says "open spotify" or "open youtube" without a specific piece, that's an browser_navigate direct call — not this skill.

How to use

Pass 1 — Identify the song

The goal of pass 1 is to commit to a specific <title> and <artist> before you pick any URL. Build the query from what the user actually said:

User saidPass-1 query
"play me a popular song"Billboard Hot 100 #1 this week
"play me something upbeat"top upbeat pop songs 2026
"play me a sad song"top ballads 2026 spotify
"play me kendrick lamar"kendrick lamar most popular song 2025
"play me a hindi song"bollywood top hindi songs this week
"play me jazz"jazz standards essential listening
"play Despacito"(skip pass 1 — title already given)
"play Bohemian Rhapsody"(skip pass 1 — title already given)

After pass 1, announce your commitment in your reasoning (this is NOT yet shown to the user — that comes after browser_navigate):

Picked: <title> by <artist> (reason: e.g. "currently #1 on Billboard Hot 100").

If the user already named a specific song, pass 1 is unnecessary — the title and artist are already given. Skip directly to pass 2.

Pass 2 — Get real YouTube watch URLs (youtube_search)

Call youtube_search with a query of the form:

"<title>" <artist> official audio

Wrap the title in double quotes. youtube_search hits the public YouTube results page, parses real /watch?v= URLs out of the response, and returns a list of { videoId, url, title, channel, durationText? } objects. The URLs in that list are the only URLs you may use for the chosen video. Preserve existing URL provenance checks; do not invent or reconstruct a watch URL.

URL-selection rules (apply in order to the youtube_search results, not to web_search snippets):

  1. The result's title field MUST explicitly contain the song title you committed to in pass 1. Artist-only mention is not enough. If the title doesn't name the song, skip it.
  2. Prefer results whose title contains "Official Audio", "Official Music Video", "Official Video", or "Official Lyric Video". These are usually the artist's verified upload.
  3. Reject results whose title contains any of: "live stream", "LIVE", "24/7", "lyric video" (unless specifically requested), "cover", "covered by", "reaction", "react to", "best of", "compilation", "mashup", "remix" (unless specifically requested), "hour" (e.g. "1 hour version"), "loop". These don't match what the user asked for.
  4. If no result in the top 5 satisfies rules 1–3, fall through to the honest-fallback path (below). Do not loosen the rules to force a pick.

Step 3 — Navigate, interact and verify

Call browser_navigate with the chosen result's URL: copy the url field verbatim. Inspect the resulting page with supported browser tools and operate the actual play control if needed. Reuse the same owned session and tab; do not launch duplicate tabs just because the player is slow.

Observe playback state after the action. If playback cannot be verified, report navigation as navigation and playback as unverified. Do not invent a successful play receipt or assume autoplay.

Step 4 — Report the observed result

Report the chosen title, URL, observed action and any limitation. Say "playing" only when playback was observed; otherwise say "opened" and explain what remains blocked or unverified. Keep Evidence linked to the actual action.

For fuzzy intent, briefly explain the selection. Do not present selection, navigation, or a user-facing browser window as proof that playback succeeded.

Honest-fallback: no verifying URL found

If pass 2 returns no result that satisfies all the URL-selection rules above, the fallback executes in the same turn — it is not something you offer to the user.

  1. browser_navigate to https://www.youtube.com/results?search_query=<title>+<artist> (URL-encoded). Same turn. No "want me to?" question. No "let me know if".
  2. After browser_navigate fires, report what executed:

    Couldn't find a verified official upload for <title> by <artist>. Opened youtube.com/results?search_query=<title>+<artist> — autoplay doesn't fire on results pages, so pick a tile to start playback.

Do NOT claim "now playing" — that would be the same fabrication Phase 23.1 was built to catch. Do NOT ask "should I open the search page?" — that's the offer-style anti-pattern Phase 23.3 specifically forbids.

Examples

Example 1 — vague query, walk top-down with anti-pattern filter

User prompt: "play me a popular song"

The <selection_rule> block says: vague query → walk youtube_search candidates top-down, skip anti-patterns, take the first clean one. No officialness scoring beyond that.

Expected flow:

  • Aiden may run an optional web_search to commit to a current chart-topper (e.g. "Opalite" by Taylor Swift). This is for query construction, not for filtering YouTube results.

  • Aiden runs: youtube_search("Opalite Taylor Swift") → returns 5 candidates:

    1. { title: "the way they know every word! 🧡 Opalite by Taylor Swift", channel: "Krystal" } — title contains "they know every word" → anti-pattern match, skip.
    2. { title: "Taylor Swift - Opalite (Official Audio)", channel: "Taylor Swift" } — no anti-pattern keyword → first clean candidate, pick.
    3. (rest of list ignored — once a clean candidate is found, stop)
  • Aiden runs: browser_navigate(<candidate 2 .url>) — copy the url field verbatim, then inspect the player and verify the requested action.

  • Aiden reports: "Picked: '' from ''. Opened <url>."

If every candidate in the top 5 hits an anti-pattern keyword — e.g. all reactions, all lyric videos — that is the legitimate fallback case (Example 5). Do not loosen the anti-pattern filter to force a pick.

Example 2 — specific title, match required

User prompt: "play Tum Hi Ho"

The <selection_rule> block says: specific query → require a title or artist substring match in the candidate before opening.

Expected flow:

  • Title given (Tum Hi Ho). Aiden skips web_search.
  • Aiden runs: youtube_search("Tum Hi Ho") → list of candidates.
  • Aiden walks the candidates top-down looking for the first one whose title field contains "Tum Hi Ho" (case-insensitive substring is fine). The highest-ranked match is the answer — not "the most official-looking one further down the list."
  • Aiden runs: browser_navigate(<that result's url, verbatim>).
  • Aiden reports: "Picked: '' from ''. Opened <url>."

If the very top result's title contains "Tum Hi Ho", that's the match. Stop looking. Open it.

Example 3 — specific song, top result is the match

User prompt: "play Despacito"

Expected flow:

  • Title and artist already given (Despacito, Luis Fonsi).
  • Aiden skips web_search.
  • Aiden runs: youtube_search("Despacito Luis Fonsi") → top result's title contains "Despacito". Match found at rank 1.
  • Aiden runs: browser_navigate(<top result.url>).
  • Aiden reports: "Picked: '' from ''. Opened <url>."

Example 4 — artist-only, hybrid

User prompt: "play me kendrick lamar"

This is between vague and specific: the artist is named, so "Not Like Us by random tribute act" is wrong, but the song isn't — so the bar is "any candidate whose channel or title is Kendrick Lamar's actual catalog."

Expected flow:

  • Aiden may run web_search("kendrick lamar most popular song 2025") to commit to a likely song (e.g. "Not Like Us"). This step is optional but useful for query construction.
  • Aiden runs: youtube_search("Kendrick Lamar Not Like Us") → list of candidates.
  • Aiden picks the top candidate whose title or channel names Kendrick Lamar. Top result usually qualifies.
  • Aiden runs: browser_navigate(<that result's url, verbatim>).
  • Aiden reports: "Picked: '' from ''. Opened <url>."

Example 5 — fallback to results page

User prompt: "play that lo-fi beats stream"

Expected flow:

  • Pass 1: web_search("popular lo-fi beats stream 2026") → top result is "lofi hip hop radio — beats to relax/study to" channel.
  • Aiden commits: title="lofi hip hop radio", artist="Lofi Girl".
  • Pass 2: youtube_search("\"lofi hip hop radio\" Lofi Girl official audio") → top results are channel pages and livestreams. Every watch URL whose title contains "live" or "24/7" fails reject rule 3. No top-5 result satisfies the rules.
  • Aiden runs: browser_navigate("https://www.youtube.com/results?search_query=lofi+hip+hop+radio+Lofi+Girl") — a search-results page, not proof of playback.
  • Aiden reports honestly: "Couldn't find a single verified upload — Lofi Girl's stream is a 24/7 livestream, not a single video. Opened YouTube search results; click any livestream tile to start playback."

Cautions

  • Never call browser_navigate more than once per request. If the first call succeeded, the URL is open in the user's browser. Re-launching is duplicate noise.
  • A watch URL does not guarantee autoplay. Only claim "now playing" after observing playback; report restrictions or unverified state honestly.
  • youtube_search is required, not optional. Use its real results and preserve URL provenance checks. Never compose a video ID from memory.
  • web_search (pass 1) is optional, but valuable for fuzzy intents. It helps you commit to a specific title before youtube_search. For "play Despacito" you can skip it; for "play me a popular song" you almost certainly need it.
  • Don't search verbatim for fuzzy phrases. "popular song" verbatim returns articles ABOUT popular songs, not the songs themselves. The whole point of pass 1 is to substitute fuzzy → specific BEFORE youtube_search.
  • Title match is non-negotiable. If the youtube_search result's title doesn't literally contain the song title you committed to, that result is not the song you said you'd play. Skip it. If nothing matches, take the honest fallback.
  • No Spotify integration in v4.0. If the user explicitly asks for Spotify ("play X on spotify"), tell them: "Spotify integration ships in v4.1. For now I can open the song on YouTube instead — want me to?"

Requirements

  • web_search tool (always available — registered at boot)
  • youtube_search tool (always available — registered at boot)
  • An available owned Browser Session and permitted browser navigation/interaction tools.
  • Respect current approval requirements. If a browser dependency is unavailable, report it rather than switching to an unowned external launcher.
  • Some sites require user login or consent; never bypass these barriers.

Frequently asked questions

What does the Media Search AI skill do?

Find and play music/videos via youtube_search + browser_navigate

Why use Media Search on TypingMind?

Because you install it once and use it with any model. Media Search is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Media Search in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/taracodlabs/aiden/tree/main/skills/media-search. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Media Search?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Media Search?

As many as you like. As long as a model supports skills, you can use Media Search with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Media Search AI skill free?

Yes. It is published on GitHub by taracodlabs under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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