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implementation-strategy实施策略

Agent Skill

implementation-strategy 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

1,223

周安装

52

GitHub Stars

25,624

下载量

428
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

unknown

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:implementation-strategy(实施策略)
来源仓库:https://github.com/openai/openai-agents-python
仓库路径:skills/implementation-strategy
安装命令:
npx skills add https://github.com/openai/openai-agents-python --skill implementation-strategy
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/openai/openai-agents-python --skill implementation-strategy

简介

implementation-strategy 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。

  • 适用于需要根据关键词、任务场景或来源线索进行信息搜集与整理的场景。
  • 通过关键词匹配和来源仓库筛选实现信息检索,支持结合具体任务目标使用。
  • 安装命令为 npx skills add https://github.com/openai/openai-agents-python --skill implementation-strategy。
  • 使用前需确认权限范围、维护状态,注意是否触发联网或文件读写操作。

SKILL.md

Implementation Strategy

Overview

Use this skill before editing code when the task changes runtime behavior or anything that might look like a compatibility concern. The goal is to keep implementations simple while protecting real released contracts.

Quick start

  1. Identify the surface you are changing: released public API, unreleased branch-local API, internal helper, persisted schema, wire protocol, CLI/config/env surface, or docs/examples only.
  2. Determine the latest release boundary from origin first, and only fall back to local tags when remote tags are unavailable: BASE_TAG="$(.agents/skills/final-release-review/scripts/find_latest_release_tag.sh origin 'v*' 2>/dev/null || git tag -l 'v*' --sort=-v:refname | head -n1)" echo "$BASE_TAG"
  3. Judge breaking-change risk against that latest release tag, not against unreleased branch churn or post-tag changes already on main. If the command fell back to local tags, treat the result as potentially stale and say so.
  4. Prefer the simplest implementation that satisfies the current task. Update callers, tests, docs, and examples directly instead of preserving superseded unreleased interfaces.
  5. Add a compatibility layer only when there is a concrete released consumer, an otherwise supported durable external state boundary that requires it, or when the user explicitly asks for a migration path.

Compatibility boundary rules

  • Released public API or documented external behavior: preserve compatibility or provide an explicit migration path.
  • Persisted schema, serialized state, wire protocol, CLI flags, environment variables, and externally consumed config: treat as compatibility-sensitive when they are part of the latest release or when the repo explicitly intends to preserve them across commits, processes, or machines.
  • Python-specific durable surfaces such as RunState, session persistence, exported dataclass constructor order, and documented model/provider configuration should be treated as compatibility-sensitive when they were part of the latest release tag or are explicitly supported as a shared durability boundary.
  • Interface changes introduced only on the current branch: not a compatibility target. Rewrite them directly.
  • Interface changes present on main but added after the latest release tag: not a semver breaking change by themselves. Rewrite them directly unless they already define a released or explicitly supported durable external state boundary.
  • Internal helpers, private types, same-branch tests, fixtures, and examples: update them directly instead of adding adapters.
  • Unreleased persisted schema versions on main may be renumbered or squashed before release when intermediate snapshots are intentionally unsupported. When you do that, update the support set and tests together so the boundary is explicit.

Default implementation stance

  • Prefer deletion or replacement over aliases, overloads, shims, feature flags, and dual-write logic when the old shape is unreleased.
  • Do not preserve a confusing abstraction just because it exists in the current branch diff.
  • If review feedback claims a change is breaking, verify it against the latest release tag and actual external impact before accepting the feedback.
  • If a change truly crosses the latest released contract boundary, call that out explicitly in the ExecPlan, release notes context, and user-facing summary.

When to stop and confirm

  • The change would alter behavior shipped in the latest release tag.
  • The change would modify durable external data, protocol formats, or serialized state.
  • The user explicitly asked for backward compatibility, deprecation, or migration support.

Output expectations

When this skill materially affects the implementation approach, state the decision briefly in your reasoning or handoff, for example:

  • Compatibility boundary: latest release tag v0.x.y; branch-local interface rewrite, no shim needed.
  • Compatibility boundary: released RunState schema; preserve compatibility and add migration coverage.

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

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

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

Codex

33.51%
按下载量换算143

Claude

29.74%
按下载量换算127

Cursor

19.46%
按下载量换算83

Gemini CLI

8.31%
按下载量换算36

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

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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