mirror of
https://github.com/SHOGGOTH-SECTOR/sica-fondt.git
synced 2026-08-01 08:30:20 +00:00
24f816b6a3
Place useful parts of the surrounding repos into sica-fondt by layer, per the
body model (Ada = membrane; brain/endocrine/capabilities/knowledge non-Ada):
- brain/ LLM reasoning + providers (dapr, hermes, MoMoA)
- capabilities/ REPRAG sidecars: hermes tools/skills, dapr tools, parallel
dispatch, A51 channels, and the OSINT cluster
- knowledge/ LORAG corpus: 754 cyber-skills, agency personas, secure-coding,
MITRE ATT&CK data
- reference/ defensive threat-reference (C3, shhbruh doc) + AdaYaml parser
License handling: AGPL sources (worldosint, advanced_evolution, mercury,
Reticulum) and GPL DeTTECT are SPEC-only clean-room/port descriptions — no
copyleft code copied. MIT/Apache/data parts copied as working trees.
Safety: shhbruh escape/persistence material and C3 covert-C2 kept as reference
only, not wired into the running organism. See CONSOLIDATION.md.
https://claude.ai/code/session_01UehUqEXXJJCsHoA4voCU5c
24 lines
886 B
Markdown
24 lines
886 B
Markdown
# Manim Video Skill
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Production pipeline for mathematical and technical animations using [Manim Community Edition](https://www.manim.community/).
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## What it does
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Creates 3Blue1Brown-style animated videos from text prompts. The agent handles the full pipeline: creative planning, Python code generation, rendering, scene stitching, and iterative refinement.
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## Use cases
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- **Concept explainers** — "Explain how neural networks learn"
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- **Equation derivations** — "Animate the proof of the Pythagorean theorem"
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- **Algorithm visualizations** — "Show how quicksort works step by step"
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- **Data stories** — "Animate our before/after performance metrics"
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- **Architecture diagrams** — "Show our microservice architecture building up"
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## Prerequisites
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Python 3.10+, Manim CE (`pip install manim`), LaTeX, ffmpeg.
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```bash
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bash skills/creative/manim-video/scripts/setup.sh
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```
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