"Use DeepFace face extraction, detector backends, landmark outputs,
Scanned 9/8/2026
Install to Claude Code
npx -y skills add VectorSpaceLab/AREX-Skill --skill detection-and-demography --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: detection-and-demography
description: "Use DeepFace face extraction, detector backends, landmark outputs,
demographic analysis, anti-spoofing, and enforce-detection recovery."
disable-model-invocation: true
metadata:
disco-role: operating
license: MIT
---
# Detection And Demography
Use this sub-skill when the user task needs DeepFace.extract_faces, DeepFace.analyze, detector_backend, align, expand_percentage, color_face, normalize_face, anti_spoofing, max_faces, age/gender/race/emotion actions, output dictionaries, and batch shapes.
## Route Here
- Answer package-user questions for the owned DeepFace functions and parameters.
- Select safe minimal code patterns before running heavy model builds, weight downloads, database connections, Docker, or webcam/video operations.
- Diagnose workflow-specific errors using the linked troubleshooting reference.
- Cross-link to sibling sub-skills when a workflow spans detection, recognition, persistence, serving, and optional model/dependency setup.
## Reroute
Verification/embedding/search workflows go to `../recognition-workflows/SKILL.md`; optional detector installs go to `../model-and-backend-selection/SKILL.md`; REST and streaming go to `../api-service/SKILL.md`.
## First Checks
1. Confirm `from deepface import DeepFace` works; otherwise use `../../references/troubleshooting.md`.
2. Identify whether the user wants static guidance, code generation, environment diagnosis, or runtime execution.
3. Keep network/model-weight/database/camera side effects explicit and ask before running them in constrained environments.
4. Use the nearest bundled helper for safe validation before recommending a heavier run.
## Reference Map
- `references/api-reference.md` documents signatures, parameters, outputs, and API-specific behavior for this sub-skill.
- `references/workflows.md` or the focused workflow reference contains practical recipes and decision patterns.
- `references/troubleshooting.md` maps common errors to concrete recovery steps.
- `scripts/check_detection_inputs.py` is the safe bundled helper for this sub-skill.
## Safety
Do not tell future agents to open or run original repository tests, examples, notebooks, scripts, or local checkout files. Use this self-contained sub-skill, its references, and its bundled helper scripts instead.
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