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optflowoptflow 搜索

Agent Skill

optflow 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

899

周安装

36

GitHub Stars

28

下载量

291
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:optflow(optflow 搜索)
来源仓库:https://github.com/majiayu000/claude-arsenal
仓库路径:skills/optflow
安装命令:
npx skills add https://github.com/majiayu000/claude-arsenal --skill optflow
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/majiayu000/claude-arsenal --skill optflow

简介

optflow 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。

  • 适用于流程优化、效率提升与方法论借鉴等改进类场景。
  • 可按行业、规模或痛点类型匹配最佳实践案例。
  • 安装命令:npx skills add https://github.com/majiayu000/claude-arsenal --skill optflow;需验证案例适用性。
  • 推荐方案应适配具体上下文,避免生搬硬套。

SKILL.md

Optflow

Overview

Use this skill to discover repository optimization opportunities and execute selected optimizations end to end:

  • Discover optimization points first (performance, reliability, maintainability, security, cost, DX).
  • Prioritize by impact/effort/risk.
  • Execute in strict sequence with validation and explicit commit policy.
  • Add BDD behavior specs when requested or when requirements are ambiguous.

Trigger Cues

Trigger this skill when the user asks for one or more of:

  • Ask to find optimization opportunities in a repository/library.
  • Ask for optimization roadmap + implementation.
  • Require test-first optimization delivery and commit (final or per step).
  • Require behavior-driven delivery (BDD) or acceptance scenarios.

Workflow

0. Discover Optimization Backlog

  • Scan the repository before planning changes.
  • Classify findings into: performance, reliability, maintainability, security, developer experience, and cost.
  • For each finding, record:

- symptom and evidence (file/path/metric) - expected impact - effort estimate - risk level

  • Build a prioritized backlog using impact/effort/risk.
  • Explicitly mark low-confidence findings as hypotheses.

1. Define Ready Criteria (DoR)

See shared delivery base: references/delivery-base.md

Additional for optflow:

  • If implementation is requested and commit style is not explicitly specified, use per_step (default).
  • If user says "per step optimize and test then commit", use per_step.

2. Build Complete Plan Before Editing

See shared delivery base: references/delivery-base.md

3. Add BDD Layer When Needed

Use BDD if user requests it, or if requirements are unclear.

For BDD Lite, Scenario Quality Checklist, Scenario Outline, and Test Layer mapping, see the shared reference:

references/bdd-guide.md

4. Execute Step by Step

See shared delivery base: references/delivery-base.md
  • Treat one planned step as one feature boundary whenever possible.
  • If commit_policy = per_step (default for implementation):

- Stage only files for current step/feature. - Run step-level checks first. - Commit immediately after step checks pass. - Record step -> commit hash mapping.

5. Apply No-Backward-Compatibility Mode (When Requested)

See shared delivery base: references/delivery-base.md

6. Validate with Test Matrix

See shared delivery base: references/delivery-base.md

Per-step mandatory loop (when commit_policy = per_step):

  1. Implement current feature step.
  2. Run mapped step checks (at least one automated command).
  3. If checks pass, commit this step immediately.
  4. Move to next feature step.

7. Commit and Handoff

See shared delivery base: references/delivery-base.md
  • per_step: each step must already be committed before next step starts.

Output Templates

Optimization Backlog Template

Finding:
Category: <performance|reliability|maintainability|security|dx|cost>
Evidence: <file/metric/log>
Impact: <high|medium|low>
Effort: <high|medium|low>
Risk: <high|medium|low>
Priority score: <...>
Decision: <implement now|defer>

Optimization Plan Template

Selected Findings:
1. <finding>
2. <finding>

Execution Steps:
1. <step> (done condition: <...>)
2. <step> (done condition: <...>)

Expected Gains:
- <metric or qualitative gain>

Guardrails

  • Do not stop at planning when implementation is expected.
  • Do not leave partially completed plan steps.
  • Do not defer required testing when it can be run now.
  • Do not move to the next plan step before committing when commit_policy = per_step.
  • Do not merge multiple completed feature steps into one commit when commit_policy = per_step.
  • Do not claim compatibility if user explicitly requested no compatibility work.
  • Do not include unrelated pre-existing dirty files in commits.
  • Do not hand off without concrete validation evidence.

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

36.62%
按下载量换算107

Claude

32.73%
按下载量换算95

Cursor

17.73%
按下载量换算52

Gemini CLI

10.26%
按下载量换算30

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。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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