For 14 of 74 compressed skills, the original description contained
trigger keywords, technique counts, attribution, or use-case phrases
not covered by the existing body content. Prepends a 'When to use' /
'What's inside' block near the top so the agent still has the full
context when the skill is loaded.
Skills salvaged:
- codex, ascii-video, creative-ideation, excalidraw, manim-video, p5js
- gif-search, heartmula, youtube-content
- lm-evaluation-harness, obliteratus, vllm, axolotl
- powerpoint
Remaining 60 skills were verified to already cover the dropped content
in their existing body sections (When to Use, overview, intro prose)
or had short descriptions fully captured by the new compressed form.
Target: every skill's description fits in a one-line gateway menu and
leads with trigger keywords an agent would match on. Drops filler like
'Use this skill to', 'A skill for', 'This skill provides'.
Before: max description length was 791 chars (architecture-diagram),
74 of 81 built-in skills were >60 chars.
After: max 60, mean 54, all 81 built-in skills <=60.
Rewritten with double-quoted YAML scalars to preserve Chinese/arrow
glyphs (baoyu-comic, yuanbao, youtube-content).
Clearer workflow with validation/chunking steps, expanded description
with trigger terms for better agent matching, tightened error handling.
Fixed stray pipe character in original PR diff.
Based on PR #4778 by fernandezbaptiste.
Co-authored-by: fernandezbaptiste <fernandezbaptiste@users.noreply.github.com>
The library removed the static get_transcript() method in v1.0.
Migrate to the new instance-based fetch() API and normalize
FetchedTranscriptSnippet objects back to dicts for compatibility
with the rest of the script.
- Introduced a new markdown file detailing various output formats including chapters, summaries, Twitter threads, blog posts, and quotes.
- Each section provides structured examples to guide content creators in presenting their video material effectively.
