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merge-diff-arc-agi-task合并 diff arc agi 任务

Agent Skill

merge-diff-arc-agi-task 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

753

周安装

32

GitHub Stars

93

下载量

264
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

3

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:merge-diff-arc-agi-task(合并 diff arc agi 任务)
来源仓库:https://github.com/letta-ai/skills
仓库路径:skills/merge-diff-arc-agi-task
安装命令:
npx skills add https://github.com/letta-ai/skills --skill merge-diff-arc-agi-task
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/letta-ai/skills --skill merge-diff-arc-agi-task

简介

merge-diff-arc-agi-task 用于查找、检索和筛选相关信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词或任务场景快速定位候选结果。
  • 通过 npx skills add 命令从指定仓库安装并使用该技能。
  • 安装前需确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写操作。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Merge-Diff ARC-AGI Task

This skill provides guidance for tasks that combine git operations with ARC-AGI style pattern recognition problems. These tasks typically involve fetching git bundles, merging branches with conflicting implementations, analyzing example input-output pairs to discover transformation patterns, and implementing correct algorithmic solutions.

When to Use This Skill

Apply this skill when the task involves:

  • Fetching and merging git bundles containing different code implementations
  • Analyzing grid-based input-output examples to discover transformation rules
  • Implementing algorithms that transform 2D grids based on discovered patterns
  • Resolving merge conflicts between competing implementations

Recommended Workflow

Phase 1: Environment Setup

Before starting the main workflow, complete all environment configuration:

  1. Configure git identity - Set user.name and user.email before any merge operations to avoid "Committer identity unknown" errors
  2. Verify Python availability - Check whether python or python3 is the correct command
  3. Initialize git repository if not already done
  4. Fetch all required bundles before analyzing any code

Phase 2: Analysis Before Implementation

Analyze thoroughly before writing any code:

  1. Test existing implementations first - Before merging or writing new code, test what each branch's implementation actually does
  2. Parse and examine all examples - Read the examples.json (or equivalent) file once and analyze all input-output pairs systematically
  3. Document the pattern formally - Write out the mathematical relationship explicitly (e.g., "For each cell (i,j), output[i][j] = sequence[(i+j) mod n]")
  4. Verify the pattern against ALL examples - Confirm the discovered pattern holds for every example, not just a subset

Phase 3: Pattern Recognition Strategies

When analyzing grid transformation patterns:

  1. Identify unique values - Extract non-zero or distinct values from the input
  2. Look for positional relationships - Check if output depends on row index, column index, or combinations like (i+j), (i-j), etc.
  3. Check for tiling or repetition - Determine if the output is a tiled or repeated version of a smaller pattern
  4. Consider modular arithmetic - Many patterns use modulo operations based on grid dimensions or sequence lengths
  5. Test edge cases mentally - What happens with all zeros? Single values? Non-square grids?

Phase 4: Implementation

  1. Create a reusable test harness early - Write a single comprehensive test function that can be called repeatedly instead of writing test code multiple times
  2. Implement with clear variable names - Make the algorithm's intent obvious
  3. Add input validation at boundaries - Handle empty grids, all-zero inputs, and edge cases
  4. Handle potential collisions - If using dictionary or position-based mapping, consider what happens if two values map to the same key

Phase 5: Merge and Verify

  1. Only start the merge after understanding the required implementation - Avoid starting a merge prematurely and needing to abort
  2. Use a complete verification script - Test with all provided examples and check expected outputs
  3. Run the official test suite - Ensure all tests pass before considering the task complete

Common Pitfalls to Avoid

Git-Related Mistakes

  • Starting a merge before configuring git user identity
  • Beginning the merge before understanding what implementation is needed
  • Forgetting to stage and commit after resolving conflicts

Python-Related Mistakes

  • Using python when python3 is required (or vice versa)
  • Not testing the existing implementations before writing new code

Pattern Analysis Mistakes

  • Stream-of-consciousness reasoning instead of formal pattern documentation
  • Spot-checking only a few examples instead of verifying all
  • Missing edge cases like empty sequences or all-zero inputs
  • Not considering what happens when multiple values map to the same position

Code Organization Mistakes

  • Writing test code multiple times in different forms instead of creating a reusable function
  • Reading data files multiple times instead of parsing once
  • Incomplete or truncated verification scripts

Verification Checklist

Before marking the task complete, verify:

  • Git user identity configured
  • All bundles fetched successfully
  • Pattern documented with explicit mathematical formula
  • Pattern verified against ALL examples (not just some)
  • Edge cases handled (empty input, all zeros, etc.)
  • All tests pass
  • Merge committed successfully

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

能力 5

展示第三方安全扫描或审计结果

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

30.12%
按下载量换算80

Gemini CLI

24.24%
按下载量换算64

Antigravity

18.29%
按下载量换算48

windsurf

13.24%
按下载量换算35

OpenCode

7.19%
按下载量换算19

Codex

3.61%
按下载量换算10

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。

来源信息

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