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decision-evaluation决策评估

Agent Skill

decision-evaluation 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

282

周安装

12

GitHub Stars

1

下载量

99
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:decision-evaluation(决策评估)
来源仓库:https://github.com/freeacger/loom
仓库路径:skills/decision-evaluation
安装命令:
npx skills add https://github.com/freeacger/loom --skill decision-evaluation
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/freeacger/loom --skill decision-evaluation

简介

针对单一设计决策节点进行比较分析与推荐生成。

  • 聚焦架构选型、实现路径等实质性影响点,输出带理由的建议。
  • 要求输入包含明确的决策上下文与备选方案快照。
  • 不负责整体设计验证,仅处理局部选项权衡问题。
  • decision-evaluation 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Decision Evaluation

Overview

This skill evaluates one explicit design decision at a time.

It does not discover the whole design. It does not validate overall readiness. Its job is to compare real options for a bounded decision node and produce a recommendation with reasons.

When to Use

Use this skill when:

  • the design already contains a concrete decision node
  • the user is effectively asking "which of these approaches should we choose?"
  • the decision will materially affect architecture, implementation path, compatibility, cost, or operational risk

Typical examples include:

  • auth model
  • coordination pattern
  • storage strategy
  • sync model
  • state management approach
  • retry or execution model
  • workflow rollback policy
  • workflow approval strategy
  • methodology stop condition
  • methodology evidence threshold
  • framework routing rule
  • framework handoff contract
  • language or runtime selection
  • UI framework selection
  • data-layer library (ORM, query builder, validation) selection
  • tooling selection (bundler, linter, test runner, CI platform)

Do not use this skill when:

  • the design tree is not formed yet
  • the task is still broad design discovery
  • the main need is deeper refinement rather than bounded comparison
  • the task is a final readiness gate

Constraint Gathering

When the decision involves technology selection (language, framework, library, or tooling), perform this step before the formal comparison.

Ask the user to confirm:

  1. Hard constraints: existing tech stack, license requirements, budget limits, deployment environment restrictions.
  2. Preferences or already-excluded options.
  3. Priority of evaluation dimensions (e.g., performance > ecosystem > learning curve).
  4. Must-have requirements (TypeScript support, SSR capability, plugin system, etc.).

Filter the candidate list based on confirmed constraints. Only feasible options proceed to formal comparison.

Output: confirmed constraints + filtered candidate list.

When the decision is non-technical but still bounded, do not force technology-selection questions. Instead confirm the decision boundary, real alternatives, and the dimensions that matter for this workflow, methodology, or framework choice.

Core Responsibilities

Your responsibilities are:

  1. Frame the exact decision question. For technology selections, frame the question based on constraints confirmed in the Constraint Gathering step.
  2. Keep the work bounded to one explicit decision node.
  3. Present 3 to 4 real options when real options exist.
  4. Compare trade-offs clearly and concretely.
  5. Recommend one option or a justified combination when appropriate.
  6. Explain why the rejected options are not preferred in this context.
  7. Record the result in a reusable decision record.

Comparison Standard

Compare options using the dimensions that matter to the decision. These often include:

  • implementation complexity
  • compatibility with the current system
  • operational risk
  • performance
  • maintainability
  • future flexibility
  • debugging and observability implications

Do not force every dimension into every decision. Use only the ones that actually matter.

Expected Outputs

Produce or update a design_state that includes:

  • design_target_type
  • decision_nodes
  • decisions
  • risks
  • optional downstream impact notes for the design tree

Diagram Conventions

Use character diagrams inside code blocks (no language tag) to visualize trade-offs and architecture topology.

Star Ratings

Use when comparing 3+ options across 2+ quantitative dimensions.

Overall Rating:

Auth0:      ★★★★☆  4/5
Keycloak:   ★★★☆☆  3/5
Self-build: ★☆☆☆☆  1/5

Dimension Breakdown:

Security:       Auth0 ★★★★★  Keycloak ★★★★☆  Self ★★☆☆☆
Speed-to-MVP:   Auth0 ★★★★★  Keycloak ★★★☆☆  Self ★☆☆☆☆
Cost-at-scale:  Auth0 ★★★☆☆  Keycloak ★★★★☆  Self ★★★★★

Rules:

  • (filled, U+2605) + (empty, U+2606), 5-star scale (max = ★★★★★)
  • Format: label ★★★★☆ 4/5
  • Always show all 5 stars (e.g. ★★☆☆☆, never ★★)
  • Overall rating section first, then Dimension Breakdown
  • Breakdown section: one dimension per row, all options on the same row
  • Always state the scale explicitly

Architecture Topology

Use when the decision changes component layout or system topology.

┌──────────────────┐
│  Load Balancer   │
└────────┬─────────┘
         │
    ┌────┴────┐
    ▼         ▼
 [API x2] [API x2]
    │         │
    └────┬────┘
         ▼
  ┌────────────┐
  │  Postgres  │
  └────────────┘
  • Boxes use ┌ ┐ └ ┘ ─ │ for infrastructure components
  • [brackets] for application components
  • Vertical flow primary; ──→ for horizontal connections

When to Add Diagrams

  • Star ratings: 3+ options × 2+ quantitative dimensions
  • Topology: the decision changes the physical or logical component layout
  • Do NOT add diagrams for simple yes/no or qualitative comparisons — use markdown tables
  • Max width: 78 characters

Entry and Exit Criteria

Enter when:

  • the decision node is explicit and bounded
  • the decision has at least two meaningful alternatives

Exit when:

  • there is a clear recommended option
  • the consequences of that decision are clear enough to feed back into the design

Handoff Rules

  • Hand back to design-refinement when the chosen option affects unresolved design branches.
  • Hand to design-readiness-check when this was the last major unresolved design issue.
  • Hand back to design-orchestrator if routing should be reconsidered after the decision lands.
  • Do not force broad design discovery into a bounded decision just to make progress.
  • Do not take over general design clarification work.

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

31.9%
按下载量换算32

Claude

32.38%
按下载量换算32

Cursor

19.54%
按下载量换算19

Gemini CLI

8.97%
按下载量换算9

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。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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