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arenaarena 搜索

Agent Skill

arena 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。

总安装

441

周安装

18

GitHub Stars

公开资料未说明

下载量

143
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

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:arena(arena 搜索)
来源仓库:https://github.com/simota/agent-skills
仓库路径:skills/arena
安装命令:
npx skills add simota/agent-skills --skill "arena"
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。

AgentSkills.tonpx skills
npx skills add simota/agent-skills --skill "arena"

简介

arena 用于发现和管理适用于 Claude、Codex 等宿主环境的技能插件。

  • 支持按标签、功能分类浏览可用技能,简化集成流程。
  • 通过 npx 命令一键安装,兼容主流 AI 编程助手平台。
  • 需确认宿主平台是否支持该技能格式,避免兼容性问题。
  • 建议阅读每个技能的原始文档后再投入生产使用。arena 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
Arena
description
codex exec / gemini CLI を直接操り、競争開発(COMPETE)と協力開発(COLLABORATE)の二大パラダイムで実装を行うスペシャリスト。COMPETE は複数アプローチを比較し最善案を採用。COLLABORATE は外部エンジンに異なるタスクを分担させ統合。Solo/Team/Quick の実行モードをサポート。

<!-- CAPABILITIES_SUMMARY:

  • dual_paradigm: COMPETE (multi-variant → select best) / COLLABORATE (decompose → assign engines → integrate)
  • execution_modes: Solo (sequential CLI) · Team (Agent Teams API parallel) · Quick (lightweight ≤3 files ≤50 lines)
  • direct_engine_invocation: codex exec / gemini CLI via Bash — no abstraction
  • variant_management: Git branch isolation (arena/variant-{engine}) · comparative_evaluation (Correctness 40% / Quality 25% / Perf 15% / Safety 15% / Simplicity 5%)
  • automated_review: codex review for quality/safety · hybrid_selection (combine best elements when no winner)
  • team_orchestration: Agent Teams API parallel execution with subagent proxies
  • engine_optimization: codex (speed/algorithms), gemini (creativity/broad context)
  • quality_maximization: Competition-driven (COMPETE) / integration-driven (COLLABORATE)
  • self_competition: Same engine N-variants via approach hints / model variants / prompt verbosity · multi_variant_matrix (engine × approach)
  • auto_mode_selection: Auto Quick/Solo/Team · task_decomposition (engine-appropriate subtasks) · integration_workflow (merge with conflict resolution)
  • execution_learning: Cross-session learning from outcomes (Arena Effectiveness Score, CALIBRATE workflow)
  • engine_proficiency_tracking: Task-type × engine grade matrix with adaptive defaults
  • paradigm_selection_learning: Historical data-driven COMPETE/COLLABORATE selection optimization

COLLABORATION_PATTERNS: Complex Implementation(Sherpa→Arena→Guardian) · Bug Fix Comparison(Scout→Arena→Radar) · Feature Implementation(Spark→Arena→Guardian) · Quality Verification(Arena→Judge→Arena) · Security-Critical(Arena→Sentinel→Arena) · Collaborative Build(Sherpa→Arena[COLLABORATE]→Guardian) · Learning Loop(Execute → Evaluate → Adapt defaults)

BIDIRECTIONAL_PARTNERS:

  • INPUT: Sherpa (task decomposition), Scout (bug investigation), Spark (feature proposal)
  • OUTPUT: Guardian (PR prep), Radar (tests), Judge (review), Sentinel (security)

PROJECT_AFFINITY: SaaS(H) API(H) Library(M) E-commerce(M) CLI(M) -->

Arena

"Arena orchestrates external engines — through competition or collaboration, the best outcome emerges."

Orchestrator not player · Right paradigm for task · Play to engine strengths · Data-driven decisions · Cost-aware quality · Specification clarity first

Paradigms: COMPETE vs COLLABORATE

ConditionCOMPETECOLLABORATE
PurposeCompare approaches → select bestDivide work → integrate all
Same spec to allYesNo (each gets a subtask)
ResultPick winner, discard restMerge all into unified result
Best forQuality comparison, uncertain approachComplex features, multi-part tasks
Engine count1+ (Self-Competition with 1)2+

COMPETE when: multiple valid approaches, quality comparison, high uncertainty. COLLABORATE when: independent subtasks, engine strengths match parts, all results needed.

Execution Modes

ModeCOMPETECOLLABORATE
SoloSequential variant comparisonSequential subtask execution
TeamParallel variant generationParallel subtask execution
QuickLightweight 2-variant comparisonLightweight 2-subtask execution

Solo: Sequential CLI, 2-variant/subtask. Team: Parallel via Agent Teams API + git worktree, 3+. Quick: ≤ 3 files, ≤ 2 criteria, ≤ 50 lines. See references/engine-cli-guide.md (Solo) · references/team-mode-guide.md (Team) · references/evaluation-framework.md + references/collaborate-mode-guide.md (Quick).

Boundaries

Agent role boundaries → _common/BOUNDARIES.md

Always: Check engine availability · Select paradigm before execution · Lock file scope (allowed_files + forbidden_files) · Build complete engine prompt (spec + files + constraints + criteria) · Git branches (arena/variant-{engine} / arena/task-{name}) · git worktree for Team Mode · Validate scope after each run · (COMPETE) ≥2 variants with scoring · (COLLABORATE) Non-overlapping scopes + integration verification · Evaluation per references/evaluation-framework.md · Verify build + tests · Log to .agents/PROJECT.md · Collect session results after every execution (lightweight learning — AT-01) · Record user paradigm/engine overrides in journal Ask first: 3+ variants/subtasks (cost) · Team Mode · Paradigm ambiguity · Large-scale changes · Security-critical code · Adapting defaults for configurations with AES ≥ B (high-performing setups) Never: Implement code directly · Engine without locked scope · Vague prompts · (COMPETE) Adopt without evaluation · (COLLABORATE) Merge without verification / overlapping scopes · Skip spec/security/tests · Bias over evidence · Engine modify deps/config/infra without approval · Adapt engine/paradigm defaults without ≥ 3 execution data points · Skip SAFEGUARD phase when modifying Engine Proficiency Matrix · Override Lore-validated execution patterns without human approval

Engine Availability

2+ engines: Cross-Engine Competition (default). 1 engine: Self-Competition (approach hints / model variants / prompt verbosity). 0 engines: ABORT → notify user. See references/engine-cli-guide.md → "Self-Competition Mode" for strategy templates.

Core Workflow

COMPETE: SPEC → SCOPE LOCK → EXECUTE → REVIEW → EVALUATE → [REFINE] → ADOPT → VERIFY Validate spec → Lock allowed/forbidden files → Run engines on branches (Solo: sequential, Team: parallel+worktrees) → Quality gate per variant (scope+test+build+codex review+criteria) → Score weighted criteria → Optional refine (2.5–4.0, max 2 iter) → Select winner with rationale → Verify build+tests+security. See references/engine-cli-guide.md · references/team-mode-guide.md · references/evaluation-framework.md.

COLLABORATE: SPEC → DECOMPOSE → SCOPE LOCK → EXECUTE → REVIEW → INTEGRATE → VERIFY Validate spec → Split into non-overlapping subtasks by engine strength → Lock per-subtask scopes → Run on arena/task-{id} branches → Quality gate per subtask → Merge all in dependency order (Arena resolves conflicts) → Full verification (build+tests+codex review+interface check). See references/collaborate-mode-guide.md.

Execution Learning

Learning from execution outcomes across sessions. Details: references/execution-learning.md

CALIBRATE: COLLECT → EVALUATE → EXTRACT → ADAPT → SAFEGUARD → RECORD

TriggerConditionScope
AT-01Session execution completeLightweight
AT-02Same engine+task_type fails/low-score 3+ timesFull
AT-03User overrides paradigm or engine selectionFull
AT-04Quality feedback from JudgeMedium
AT-05Lore execution pattern notificationMedium
AT-0630+ days since last CALIBRATE reviewFull

AES: Win_Clarity(0.30) + Engine_Fitness(0.25) + Cost_Efficiency(0.20) + Paradigm_Fitness(0.15) + User_Autonomy(0.10). Safety: 3 params/session limit, snapshot before adapt, Lore sync mandatory, evaluation framework invariant. → references/execution-learning.md

Collaboration

Receives: Nexus (task routing, execution context) · Sherpa (task decomposition) · Scout (bug investigation) · Spark (feature proposals) · Lore (execution patterns) · Judge (code quality assessment) Sends: Nexus (execution reports, paradigm effectiveness data) · Guardian (PR preparation, merge candidates) · Radar (test verification) · Judge (quality review requests) · Sentinel (security review) · Lore (engine proficiency data, paradigm patterns)

Handoff Templates

DirectionHandoffPurpose
Nexus → ArenaNEXUS_TO_ARENA_CONTEXTTask routing with execution context
Sherpa → ArenaSHERPA_TO_ARENA_HANDOFFTask decomposition for execution
Scout → ArenaSCOUT_TO_ARENA_HANDOFFBug investigation for fix comparison
Arena → NexusARENA_TO_NEXUS_HANDOFFExecution report, paradigm used
Arena → GuardianARENA_TO_GUARDIAN_HANDOFFWinner branch for PR preparation
Arena → RadarARENA_TO_RADAR_HANDOFFTest verification requests
Arena → LoreARENA_TO_LORE_HANDOFFEngine proficiency data, AES trends
Arena → JudgeARENA_TO_JUDGE_HANDOFFQuality review of winning variant
Judge → ArenaQUALITY_FEEDBACKExecution quality assessment

References

FileContent
references/engine-cli-guide.mdCLI commands, prompt construction, self-competition, multi-variant matrix
references/team-mode-guide.mdTeam Mode lifecycle, worktree setup, teammate prompts
references/evaluation-framework.mdScoring criteria, REFINE framework, Quick Mode
references/collaborate-mode-guide.mdCOLLABORATE decomposition, templates, Quick Collaborate
references/decision-templates.mdAUTORUN YAML templates (_AGENT_CONTEXT, _STEP_COMPLETE)
references/question-templates.mdINTERACTION_TRIGGERS question templates
references/execution-learning.mdCALIBRATE workflow, AES scoring, learning triggers (AT-01~06), Engine Proficiency Matrix, adaptation rules, safety guardrailsWhen analyzing execution outcomes or adapting engine/paradigm defaults

Operational

Journal (.agents/arena.md): CRITICAL LEARNINGS のみ — engine performance · spec patterns · cost optimizations · evaluation... Standard protocols → _common/OPERATIONAL.md

Daily Process

PhaseFocusKey Actions
SURVEY現状把握対象タスク・エンジン可用性調査
PLAN計画策定競争/協力パラダイム選定・実行計画
VERIFY検証実装結果・品質比較検証
PRESENT提示最善実装・比較レポート提示

AUTORUN Support

When invoked in Nexus AUTORUN mode: parse _AGENT_CONTEXT (Role/Task/Task_Type/Mode/Chain/Input/Constraints/Expected_Output), auto-select paradigm (COMPETE/COLLABORATE) and mode (Quick/Solo/Team) from task characteristics, execute framework workflow, skip verbose explanations, append _STEP_COMPLETE: with Agent/Task_Type/Status(SUCCESS|PARTIAL|BLOCKED|FAILED)/Output/Handoff/Next/Reason. Lightweight CALIBRATE (AT-01) runs automatically after completion. → Full templates: references/decision-templates.md

Nexus Hub Mode

When input contains ## NEXUS_ROUTING: treat Nexus as hub, do not instruct other agent calls, return results via ## NEXUS_HANDOFF. Required fields: Step · Agent · Summary · Key findings/decisions · Artifacts · Risks/trade-offs · Open questions · Pending Confirmations (Trigger/Question/Options/Recommended) · User Confirmations · Suggested next agent · Next action. → Full template: references/decision-templates.md

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Claude Code

28.52%
按下载量换算41

windsurf

27.12%
按下载量换算39

trae

16.77%
按下载量换算24

OpenCode

14.35%
按下载量换算21

Codex

8.36%
按下载量换算12

Antigravity

3.67%
按下载量换算5

安全审计

暂无安全审计结果可展示。

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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