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).
Adds opt-in creative thinking frameworks to ascii-video, p5js, and
manim-video skills, based on Lluminate (joelsimon.net/lluminate).
Only engaged when the user explicitly asks for creative, experimental,
or unconventional output. Straightforward requests are unaffected.
Each skill gets 2-3 strategies matched to its domain:
- ascii-video: Forced Connections, Conceptual Blending, Oblique Strategies
- p5js: Conceptual Blending, SCAMPER, Distance Association
- manim-video: SCAMPER, Assumption Reversal
Strategies sourced from creativity research (Boden, Eno, de Bono,
Koestler, Fauconnier & Turner, Osborn), formalized for LLM prompting
by Lluminate.
Add geometry mobjects, movement/creation animations, and LaTeX
environments to the skill's reference docs. All verified against
Manim CE v0.20.1.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Manim's Pango text renderer produces broken kerning with proportional
fonts (Helvetica, Inter, SF Pro, Arial) at all sizes and resolutions.
Characters overlap and spacing is inconsistent. This is a fundamental
Pango limitation.
Changes:
- Recommend Menlo (monospace) as the default font for ALL text
- Proportional fonts only acceptable for large titles (>=48, short strings)
- Set minimum font_size=18 for readability
- Update all code examples to use MONO='Menlo' pattern
- Remove Inter/Helvetica/SF Pro from recommendations
Production pipeline for creating 3Blue1Brown-style animated videos
using Manim Community Edition. The agent handles the full workflow:
creative planning, Python code generation, rendering, scene stitching,
audio muxing, and iterative refinement.
Modes: concept explainers, equation derivations, algorithm
visualizations, data stories, architecture diagrams, paper explainers,
3D visualizations.
9 reference files, setup verification script, README.
All API references verified against ManimCommunity/manim source.
