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name: recognition-workflows description: "Use DeepFace verification, embeddings, local folder face search, distance metrics, thresholds, and signed local datastores." disable-model-invocation: true metadata: disco-role: operating license: MIT

Recognition Workflows

Use this sub-skill when the user task needs DeepFace.verify, DeepFace.represent, DeepFace.find, distance metrics, thresholds/confidence, precomputed embeddings, batch inputs, local pickle datastores, and signed LightDSA datastores.

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

Face detector choice and demography details go to ../detection-and-demography/SKILL.md; database-backed register/search/build_index go to ../datastore-search/SKILL.md; optional model dependency and weight failures go to ../model-and-backend-selection/SKILL.md; REST calls 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/deepface_embedding_distance.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.