feat(skills): add brand voice and network ops lanes

skills/manim-video/SKILL.md

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+---
+name: manim-video
+description: Build reusable Manim explainers for technical concepts, graphs, system diagrams, and product walkthroughs, then hand off to the wider ECC video stack if needed. Use when the user wants a clean animated explainer rather than a generic talking-head script.
+origin: ECC
+---
+
+# Manim Video
+
+Use Manim for technical explainers where motion, structure, and clarity matter more than photorealism.
+
+## When to Activate
+
+- the user wants a technical explainer animation
+- the concept is a graph, workflow, architecture, metric progression, or system diagram
+- the user wants a short product or launch explainer for X or a landing page
+- the visual should feel precise instead of generically cinematic
+
+## Tool Requirements
+
+- `manim` CLI for scene rendering
+- `ffmpeg` for post-processing if needed
+- `video-editing` for final assembly or polish
+- `remotion-video-creation` when the final package needs composited UI, captions, or additional motion layers
+
+## Default Output
+
+- short 16:9 MP4
+- one thumbnail or poster frame
+- storyboard plus scene plan
+
+## Workflow
+
+1. Define the core visual thesis in one sentence.
+2. Break the concept into 3 to 6 scenes.
+3. Decide what each scene proves.
+4. Write the scene outline before writing Manim code.
+5. Render the smallest working version first.
+6. Tighten typography, spacing, color, and pacing after the render works.
+7. Hand off to the wider video stack only if it adds value.
+
+## Scene Planning Rules
+
+- each scene should prove one thing
+- avoid overstuffed diagrams
+- prefer progressive reveal over full-screen clutter
+- use motion to explain state change, not just to keep the screen busy
+- title cards should be short and loaded with meaning
+
+## Network Graph Default
+
+For social-graph and network-optimization explainers:
+
+- show the current graph before showing the optimized graph
+- distinguish low-signal follow clutter from high-signal bridges
+- highlight warm-path nodes and target clusters
+- if useful, add a final scene showing the self-improvement lineage that informed the skill
+
+## Render Conventions
+
+- default to 16:9 landscape unless the user asks for vertical
+- start with a low-quality smoke test render
+- only push to higher quality after composition and timing are stable
+- export one clean thumbnail frame that reads at social size
+
+## Reusable Starter
+
+Use [assets/network_graph_scene.py](assets/network_graph_scene.py) as a starting point for network-graph explainers.
+
+Example smoke test:
+
+```bash
+manim -ql assets/network_graph_scene.py NetworkGraphExplainer
+```
+
+## Output Format
+
+Return:
+
+- core visual thesis
+- storyboard
+- scene outline
+- render plan
+- any follow-on polish recommendations
+
+## Related Skills
+
+- `video-editing` for final polish
+- `remotion-video-creation` for motion-heavy post-processing or compositing
+- `content-engine` when the animation is part of a broader launch

skills/manim-video/assets/network_graph_scene.py

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+from manim import DOWN, LEFT, RIGHT, UP, Circle, Create, FadeIn, FadeOut, Scene, Text, VGroup, CurvedArrow
+
+
+class NetworkGraphExplainer(Scene):
+    def construct(self):
+        title = Text("Connections Optimizer", font_size=40).to_edge(UP)
+        subtitle = Text("Prune low-signal follows. Strengthen warm paths.", font_size=20).next_to(title, DOWN)
+
+        you = Circle(radius=0.45, color="#4F8EF7").shift(LEFT * 4 + DOWN * 0.5)
+        you_label = Text("You", font_size=22).move_to(you.get_center())
+
+        stale_a = Circle(radius=0.32, color="#7A7A7A").shift(LEFT * 1.6 + UP * 1.2)
+        stale_b = Circle(radius=0.32, color="#7A7A7A").shift(LEFT * 1.2 + DOWN * 1.4)
+        bridge = Circle(radius=0.38, color="#21A179").shift(RIGHT * 0.2 + UP * 0.2)
+        target = Circle(radius=0.42, color="#FF9F1C").shift(RIGHT * 3.2 + UP * 0.7)
+        new_target = Circle(radius=0.42, color="#FF9F1C").shift(RIGHT * 3.0 + DOWN * 1.4)
+
+        stale_a_label = Text("stale", font_size=18).move_to(stale_a.get_center())
+        stale_b_label = Text("noise", font_size=18).move_to(stale_b.get_center())
+        bridge_label = Text("bridge", font_size=18).move_to(bridge.get_center())
+        target_label = Text("target", font_size=18).move_to(target.get_center())
+        new_target_label = Text("add", font_size=18).move_to(new_target.get_center())
+
+        edge_stale_a = CurvedArrow(you.get_right(), stale_a.get_left(), angle=0.2, color="#7A7A7A")
+        edge_stale_b = CurvedArrow(you.get_right(), stale_b.get_left(), angle=-0.2, color="#7A7A7A")
+        edge_bridge = CurvedArrow(you.get_right(), bridge.get_left(), angle=0.0, color="#21A179")
+        edge_target = CurvedArrow(bridge.get_right(), target.get_left(), angle=0.1, color="#21A179")
+        edge_new_target = CurvedArrow(bridge.get_right(), new_target.get_left(), angle=-0.12, color="#21A179")
+
+        self.play(FadeIn(title), FadeIn(subtitle))
+        self.play(
+            Create(you),
+            FadeIn(you_label),
+            Create(stale_a),
+            Create(stale_b),
+            Create(bridge),
+            Create(target),
+            FadeIn(stale_a_label),
+            FadeIn(stale_b_label),
+            FadeIn(bridge_label),
+            FadeIn(target_label),
+        )
+        self.play(Create(edge_stale_a), Create(edge_stale_b), Create(edge_bridge), Create(edge_target))
+
+        optimize = Text("Optimize the graph", font_size=24).to_edge(DOWN)
+        self.play(FadeIn(optimize))
+        self.play(FadeOut(stale_a), FadeOut(stale_b), FadeOut(stale_a_label), FadeOut(stale_b_label), FadeOut(edge_stale_a), FadeOut(edge_stale_b))
+        self.play(Create(new_target), FadeIn(new_target_label), Create(edge_new_target))
+
+        final_group = VGroup(you, you_label, bridge, bridge_label, target, target_label, new_target, new_target_label)
+        self.play(final_group.animate.shift(UP * 0.1))
+        self.wait(1)