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c-ibarrac-ibarra/ObsidianKnowledgeCurator/.agents/skills/okc-urlPodcast/SKILL.md

okc-urlPodcast

Skill0 starsChanged 44 days agoMITView on GitHub

Ingests a podcast episode or audio link, transcribes audio using Buzz CLI (Whisper), maps Graphify context, curates raw note, and syncs vault.

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
  1. Very specific:

    When this skill is invoked via /okc-urlPodcast <url>, execute the following 2-step streamlined workflow:

    line 9
  2. Very specific:

    Zero Extra Read Turns: If is_truncated is False, do not call read_file on temp/fetched_data.txt or temp/fetched_data.json.

    line 14
  3. Very specific:

    Update or create 1-3 core concepts for wiki/.

    line 18
  4. Very specific:

    Commit all notes in a single call using FastMCP commit_curated_note:

    line 19

≈ “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.

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

Podcast & Audio Curator Skill

When this skill is invoked via /okc-urlPodcast <url>, execute the following 2-step streamlined workflow:

  1. Fetch & Transcribe Podcast Audio (Single-Turn FastMCP):
    • Execute the native FastMCP tool fetch_podcast_data(url="<url>") on the okc server.
    • Features: Pre-flight duplicate check (already_exists), media download + local Buzz CLI / Whisper transcription, inline full text (when is_truncated == False), and SQLite graphify_context (suggested_category, author_existing_notes, matched_wiki_notes).
    • Zero Extra Read Turns: If is_truncated is False, do not call read_file on temp/fetched_data.txt or temp/fetched_data.json.
  2. Synthesize & Atomically Commit (Hot-Path + Async Background Sync):
    • Format the podcast content into a structured markdown note in the designated raw/ zone following vault conventions (H1, blockquote header with Processed: DD-MM-YYYY and Tags: #no-read-yet, key takeaways, thematic sections, flashcards, glossary, related links).
    • Update or create 1-3 core concepts for wiki/.
    • Commit all notes in a single call using FastMCP commit_curated_note:
      commit_curated_note(
    raw_note_path="dataScienceKnowledgeBase/AI Engineer/raw/<Category>/<Host> — <Episode Title>.md",
    raw_content="...",
    wiki_notes={"ConceptName.md": "..."},
    target_kb="dataScienceKnowledgeBase/AI Engineer",
    fast_sync=True,
    async_sync=True
)
    • Report progress and display modified notes with Obsidian URIs to the user.

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