组织

HNUST-Dust

更新于 2026-11-12

Skills
8
仓库
1
职业覆盖
1
场景覆盖
2
Stars
★ 5

HNUST-Dust 的 Skills 8

HNUST-Dust
HNUST-Dust/Dust_infantry_vision

replay-auto-aim

Reproduce and isolate auto-aim detection, tracking, solving, aiming, and planning issues from recorded video in this repository. Use for false positives, missed armors, tracker state changes, aim jitter, fire decisions, or latency regressions.

★ 5
HNUST-Dust
HNUST-Dust/Dust_infantry_vision

improve-codebase-architecture

Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.

前端开发
★ 5
HNUST-Dust
HNUST-Dust/Dust_infantry_vision

grill-with-docs

A relentless interview to sharpen a plan or design, which also creates docs (ADR's and glossary) as we go.

★ 5
HNUST-Dust
HNUST-Dust/Dust_infantry_vision

diagnosing-bugs

Diagnosis loop for hard bugs and performance regressions. Use when the user says "diagnose"/"debug this", or reports something broken/throwing/failing/slow.

★ 5
HNUST-Dust
HNUST-Dust/Dust_infantry_vision

diagnose-gimbal-link

Safely diagnose this repository's gimbal serial link, packet framing, CRC, timing, quaternion interpolation, and reconnect behavior. Use for /dev/gimbal failures, stale state, CRC errors, dropped packets, or incorrect control data.

★ 5
HNUST-Dust
HNUST-Dust/Dust_infantry_vision

diagnose-camera-stack

Diagnose HikRobot, MindVision, or USB camera discovery, SDK, streaming, frame, and frame-rate failures in this repository. Use when camera initialization fails, frames are empty, FPS is wrong, or exposure/gain/VID-PID settings look suspect.

★ 5
HNUST-Dust
HNUST-Dust/Dust_infantry_vision

codebase-design

Shared vocabulary for designing deep modules. Use when the user wants to design or improve a module's interface, find deepening opportunities, decide where a seam goes, make code more testable or AI-navigable, or when another skill needs the deep-module vocabulary.

设计师视觉设计
★ 5
HNUST-Dust
HNUST-Dust/Dust_infantry_vision

audit-vision-config

Audit YAML, model paths, OpenVINO device selection, camera and serial settings, and camera/gimbal calibration values for this repository. Use when parameters appear ignored, deployment differs between machines, or pose and model behavior are suspicious.

★ 5