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Hipson
Hipson contient 18 skills collectées depuis Hipson47, avec une couverture métier par dépôt et des pages de détail sur le site.
Skills dans ce dépôt
Use when routing an ambiguous Computer Vision task to a bounded local, webapp, model, dataset, demo, and verification skill stack.
Use when starting a Computer Vision web application with Next.js, FastAPI, browser MediaPipe, typed APIs, bounded uploads, and private media handling.
Use when extracting, labeling, splitting, converting, validating, or versioning Computer Vision datasets with provenance, privacy, and leakage controls.
Use when building browser or Python hand, gesture, face, or pose interactions with smoothing, semantic events, and privacy-preserving media handling.
Use when building or reviewing OpenCV image, video, or webcam frame loops with deterministic fallbacks, performance measurement, and reliable cleanup.
Use when packaging an existing Computer Vision pipeline as a reproducible local CLI or lightweight demo with explicit artifacts and verification.
Use when verifying Computer Vision imports, fixtures, models, schemas, cameras, artifacts, cleanup, latency, and stated limitations with reproducible evidence.
Use when designing or verifying Ultralytics YOLO detection, segmentation, tracking, or pose inference with licensed models and stable JSON outputs.
Use for structured Codex development workflows with Architect, Executor, and Reviewer roles, especially repo scans, task packets, review reports, verification, and two-Codex handoffs.
Use for premium creative frontend, motion UI, scroll-driven animation, scrollytelling, cinematic landing pages, microinteractions, and implementation-ready prompts for React/Next.js frontend agents.
Use Hermes Agent as the intake, scheduling, and status layer for Hipson-governed Codex software work.
Use when coordinating Codex subagents for non-trivial engineering work, including parallel codebase exploration, implementation workers, independent review, QA, security checks, or automation workflows in Hipson-managed repositories.
Use when creating, rewriting, auditing, or polishing README files for Hipson projects, CLI tools, developer workflow kits, open-source repos, and agent-skill libraries.
Use for optional HyperFrames video composition workflows, website-to-video planning, product videos, launch videos, animated case studies, social shorts, and deterministic timeline QA.
Use for visual direction, premium UI/UX art direction, motion interaction design, Codex-ready implementation briefs, and visual QA for web experiences.
Use only when the user explicitly asks to stage, commit, push, and open a GitHub pull request in one flow using the GitHub CLI (`gh`).
Use as a reference package for prompt architecture, reasoning, agent orchestration, AI coding workflows, fullstack guidance, multimodal prompting, and evaluation/security guardrails.
Use for premium UI/UX review and implementation planning in Hipson frontend projects, especially screenshot-backed landing pages, forms, visual polish, accessibility, responsive behavior, and design-agent packets.