okc-urlYoutube
Skill0 starsChanged 44 days agoMITView on GitHub
Downloads transcript, curates source note, compiles concepts, and syncs vault.
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The file
We split this skill into the rules it gives an agent
4 rules. About 0 are common, 0 are distinctive, and 4 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈0
Distinctive · estimate
This author's own choices. Worth a look.
4
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 9
When this skill is invoked via /urlYoutube <url> or /okc-urlYoutube <url>, execute the following strict 2-call Turbo Workflow:
- Very specific: line 18
Zero Extra Read Turns: If is_truncated is False, do not call read_file on temp/fetched_data.txt or temp/fetched_data.json, and do not run …
- Very specific: line 22
Update or create 1-3 high-value wiki/ concept pages using the inline matched_wiki_notes context.
- Very specific: line 23
Commit all notes in a single call using FastMCP commit_curated_note:
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
YouTube Video Curator Skill
When this skill is invoked via /urlYoutube <url> or /okc-urlYoutube <url>, execute the following strict 2-call Turbo Workflow:
- Fetch & Stage YouTube Content (Single-Turn FastMCP):
- Execute the native FastMCP tool
fetch_youtube_data(url_or_id="<url>")on theokcserver. - Features (all returned in a single JSON payload):
- Pre-flight duplicate check (
already_existsandexisting_note). - Concurrent fast metadata (
oembed/HTML +yt-dlpfallback) & transcript extraction. - Inline full
transcript(whenis_truncated == False, up to 50,000 chars). - SQLite context (
graphify_context):suggested_category,author_existing_notes([[wikilinks]]), andmatched_wiki_notes(including current markdown content of the top matchedwiki/concept pages).
- Pre-flight duplicate check (
- Zero Extra Read Turns: If
is_truncatedisFalse, do not callread_fileontemp/fetched_data.txtortemp/fetched_data.json, and do not run extrafind_notesqueries unless a specific concept is missing frommatched_wiki_notes.
- Execute the native FastMCP tool
- Synthesize & Atomically Commit (Hot-Path + Async Background Sync):
- Format the curated note in the
raw/zone following vault conventions (no YAML, H1 title, blockquote withProcessed: DD-MM-YYYYandTags: #no-read-yet, Key Takeaways, numbered sections, flashcards, glossary, related wikilinks). - Update or create 1-3 high-value
wiki/concept pages using the inlinematched_wiki_notescontext. - Commit all notes in a single call using FastMCP
commit_curated_note:commit_curated_note( raw_note_path="dataScienceKnowledgeBase/AI Engineer/raw/<Category>/<Channel> — <Title>.md", raw_content="...", wiki_notes={"ConceptName.md": "..."}, target_kb="dataScienceKnowledgeBase/AI Engineer", fast_sync=True, async_sync=True ) commit_curated_noteperforms a<25mssurgical SQLite upsert and link check synchronously, while spawningscripts/async_post_commit.pyin a detached background process to rebuild the Master Plan and update Graphify without blocking your response.- Report progress and show the clickable file link and Obsidian URI to the user.
- Format the curated note in the
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