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Agent Skill · 研究检索

godot-genre-sports(戈多流派体育)

godot-genre-sports 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

godot-genre-sports 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 38,423。

总安装 1,560周安装 65GitHub Stars 138下载 520核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:godot-genre-sports(戈多流派体育)
来源仓库:https://github.com/thedivergentai/gd-agentic-skills
仓库路径:skills/godot-genre-sports
安装命令:
npx skills add https://github.com/thedivergentai/gd-agentic-skills --skill godot-genre-sports
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/thedivergentai/gd-agentic-skills --skill godot-genre-sports

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

godot-genre-sports 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词、任务场景或来源线索快速定位候选结果。适用于戈多流派体育类游戏相关的技术调研与资源筛选场景。

通过 npx skills add 命令从 GitHub 仓库安装,需确保宿主平台支持。安装前应核实仓库是否持续更新,并评估其安全性与稳定性。该技能可能涉及外部查询或本地文件处理,建议先在小范围测试再推广使用。

来源仓库内路径:skills/godot-genre-sports

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/thedivergentai/gd-agentic-skills --skill godot…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

godot-genre-sports 怎么安装?

在终端执行 npx skills add https://github.com/thedivergentai/gd-agentic-skills --skill godot-genre-spo…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

godot-genre-sports 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

godot-genre-sports 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

godot-genre-sports 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

godot-genre-sports 用的人多吗?

公开数据是累计安装 1,560 次,近一周安装 65 次,下载 520 次,GitHub 138 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

godot-genre-sports 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
godot-genre-sports

戈多流派体育 · 本页

1,560138只读未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Genre: Sports

NEVER Do (Expert Anti-Patterns)

Physics & Ball Interaction

  • NEVER parent the ball directly to a player Transform; strictly keep it a standalone RigidBody3D and use apply_central_impulse() for realistic dribble physics.
  • NEVER allow the ball to "Tunnel" through goals; strictly enable Continuous CD (continuous_cd = true) on the ball's properties for high-velocity validation.
  • NEVER scale a CollisionShape3D non-uniformly; strictly adjust the resource radius to preserve the internal moment of inertia.
  • NEVER apply impulses in _process(); strictly use _physics_process() or _integrate_forces() to prevent visual jitter.
  • NEVER use a single collision shape for characters; strictly use layered shapes for Head, Torso, and Legs to enable headers and chest-traps.

Match & Team AI

  • NEVER allow all AI to chase the ball ("Kindergarten Soccer"); strictly implement Formation Slots (Defense/Attack) where only the closest 1-2 players engage.
  • NEVER use perfect goalkeeper reflexes; strictly add a Reaction Delay (0.2s-0.5s) and an "Error Rate" based on shot angle and velocity.
  • NEVER ignore Root Motion for movement; strictly use AnimationTree with root motion to ensure momentum and turns are visually grounded.
  • NEVER trust client-side goal validations; strictly require the Authoritative Server to validate physics and score logic.

Implementation & Sync

  • NEVER rely on the default physics tick rate (60 TPS) for fast-moving ballistics; strictly increase physics_ticks_per_second (e.g., to 120 or 240) to prevent tunneling.
  • NEVER leave Physics Interpolation disabled if you want broadcast-quality smoothness; enable it in Project Settings to smooth ball transforms between ticks on high-refresh monitors.
  • NEVER parent the ball directly to a player Transform; strictly keep it a standalone RigidBody3D and use apply_central_impulse() for realistic dribble physics.
  • NEVER skip vector normalization on joystick input; strictly normalize to prevent diagonal movement from being 1.4x faster.
  • NEVER handle contextual buttons with is_action_pressed(); strictly use a ContextManager to determine if Button A means "Pass", "Tackle", or "Switch".
  • NEVER evaluate an Area3D goal trigger immediately; strictly await get_tree().physics_frame to allow the Physics Server to sync.

🛠 Expert Components (scripts/)

Original Expert Patterns

  • sports_ball_physics.gd - High-fidelity Magnus effect and air drag model for ball-centric sports.
  • team_manager.gd - Macro-behavior manager implementing Formation Slots and team strategy switching.

Modular Components

  • sports_patterns.gd - Collection of utilities for physics-safe impulses and authoritative scoring.

Skill Chain

PhaseSkillsPurpose
1. Physicsphysics-bodies, vehicle-wheel-3dBall bounce, friction, player collisions
2. AIsteering-behaviors, godot-state-machine-advancedFormations, marking, flocking
3. Animgodot-animation-tree-masteryBlended running, shooting, tackling
4. Inputinput-mappingContextual buttons (Pass/Tackle share button)
5. Cameragodot-camera-systemsDynamic broadcast view, zooming on action

Architecture Overview

1. The Ball (Physics Core)

The most important object. Must feel right.

# ball.gd
extends RigidBody3D

@export var drag_coefficient: float = 0.5
@export var magnus_effect_strength: float = 2.0

func _integrate_forces(state: PhysicsDirectBodyState3D) -> void:
    # Apply Air Drag
    var velocity = state.linear_velocity
    var speed = velocity.length()
    var drag_force = -velocity.normalized() * (drag_coefficient * speed * speed)
    state.apply_central_force(drag_force)

    # Magnus Effect (Curve)
    var spin = state.angular_velocity
    var magnus_force = spin.cross(velocity) * magnus_effect_strength
    state.apply_central_force(magnus_force)

2. Team AI (Formations)

AI players don't just run at the ball. They run to *positions* relative to the ball/field.

# team_manager.gd
extends Node

enum Strategy { ATTACK, DEFEND }
var current_strategy: Strategy = Strategy.DEFEND
var formation_slots: Array[Node3D] # Markers parented to a "Formation Anchor"

func update_tactics(ball_pos: Vector3) -> void:
    # Move the entire formation anchor
    formation_anchor.position = lerp(formation_anchor.position, ball_pos, 0.5)

    # Assign best player to each slot
    for player in players:
        var best_slot = find_closest_slot(player)
        player.set_target(best_slot.global_position)

3. Match Manager

The referee logic.

# match_manager.gd
var score_team_a: int = 0
var score_team_b: int = 0
var match_timer: float = 300.0
enum State { KICKOFF, PLAYING, GOAL, END }

func goal_scored(team: int) -> void:
    if team == 0: score_team_a += 1
    else: score_team_b += 1
    current_state = State.GOAL
    play_celebration()
    await get_tree().create_timer(5.0).timeout
    reset_positions()
    current_state = State.KICKOFF

Key Mechanics Implementation

Contextual Input

"A" button does different things depending on context.

func _unhandled_input(event: InputEvent) -> void:
    if event.is_action_pressed("action_main"):
        if has_ball:
            pass_ball()
        elif is_near_ball:
            slide_tackle()
        else:
            switch_player()

Steering Behaviors

For natural movement (Seek, Flee, Arrive).

func seek(target_pos: Vector3) -> Vector3:
    var desired_velocity = (target_pos - global_position).normalized() * max_speed
    var steering = desired_velocity - velocity
    return steering.limit_length(max_force)

Godot-Specific Tips

  • NavigationServer3D: Essential for avoiding obstacles (other players/referee).
  • AnimationTree (BlendSpace2D): Crucial for sports. You need smooth blending between Idle -> Walk -> Jog -> Sprint in all directions.
  • PhysicsMaterial: Tune bounce and friction on the Ball and Field colliders carefully.

Common Pitfalls

  1. AI Bunching: All 22 players running at the ball (Kindergarten Soccer). Fix: Use Formation Slots. Only 1-2 players "Press" the ball; others cover space.
  2. Magnetic Ball: Ball sticks to player too perfectly. Fix: Use a "Dribble" mechanic where the player kicks the ball slightly ahead physics-wise, rather than parenting it.
  3. Unfair Goalies: Goalie reacts instantly. Fix: Add a "Reaction Time" delay and "Error Rate" based on shot speed/stats.

Reference

平台分布

Codex

35.41%
按下载量换算184

Claude

30.58%
按下载量换算159

Cursor

18.1%
按下载量换算94

Gemini CLI

9.78%
按下载量换算51

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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