iatomicreactori/fovea/spatial

Claude Code and agent skill by iatomicreactori/fovea

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Checking that the SKILL.md file is still in the repository.

Orchestrates spatial (frame-level) CV sub-skills for Viagent. When the spatial analyst runs, a vision LLM uses preview frames plus viagent_routing text here to choose which sub-skills to execute.

Install

npx vskill@latest install iatomicreactori/fovea/spatial

SKILL.md

Spatial analyst - skill orchestration

This package follows the Agent Skills layout. Executable code lives in src/skill/spatial/; this file defines which Python sub-skills exist and when each is appropriate, so a router can activate a subset per video.

Machine-readable routing

Viagent parses the YAML block below (first fenced yaml block that contains viagent_routing). Each id must match a key in the spatial pipeline.

yaml
viagent_routing:
version: 1
subskills:
- id: ela
when: >-
Error Level Analysis along face/foreground boundaries. Use for almost all
videos; best default for composite edges and halo artifacts. Safe general
spatial check.
- id: patch
when: >-
Local patch texture inconsistency inside facial regions. Prefer when faces
or skin are visible; less informative for distant landscapes with no faces.
- id: boundary
when: >-
Edge melting / abnormal face-to-background transition. Prefer when there is
a clear subject and background; skip or deprioritize for flat abstract
graphics or text-only slides.
- id: edge
when: >-
Local edge coherence (soft/noisy boundaries, possible floating objects).
General spatial cue; useful for natural scenes and talking-head videos.
- id: multi_face
when: >-
Multi-face geometric collapse / inconsistency across frames. Run only when
multiple faces or crowded people are plausible; omit for single-subject
tutorials, screens, gameplay without faces, or nature-only footage.
- id: blur
when: >-
Laplacian blur uniformity (face vs background sharpness). Requires face
regions for full value; pair with multi_face when possible. Omit when no
faces expected (reduces misleading ratios).

Runtime (Viagent)

Each analyst calls a vision sub-skill router before CV: a multimodal LLM sees a few preview frames (chronological spread) plus this file's viagent_routing text and JSON metadata, then returns which sub-skills to run.

Optional llm YAML keys: skill_router_temperature, skill_router_max_preview_frames. Code: src/agents/routing/router_llm.py.

References

Add per-skill deep docs under references/ as needed (one level from this file).

Security

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Source

Popularity

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