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Agent Skill · 开发

sf-ai-agentforce-conversationdesign(SF AI AgentForce 对话设计)

sf-ai-agentforce-conversationdesign 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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。

sf-ai-agentforce-conversationdesign 是开发类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描已通过,按安装量在开发类的 21,746 个 Skill 里排第 17,537。

总安装 399周安装 16GitHub Stars 225下载 129核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:sf-ai-agentforce-conversationdesign(SF AI AgentForce 对话设计)
来源仓库:https://github.com/jaganpro/claude-code-sfskills
仓库路径:skills/sf-ai-agentforce-conversationdesign
安装命令:
npx skills add https://github.com/jaganpro/claude-code-sfskills --skill sf-ai-agentforce-conversationdesign
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/jaganpro/claude-code-sfskills --skill sf-ai-agentforce-conversationdesign

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

sf-ai-agentforce-conversationdesign 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态进行整理时使用。

适用于对话设计和流程管理,支持 AI 交互逻辑开发和协作事项处理。通过 GitHub 仓库安装,使用 npx skills add 命令添加技能,需确认权限范围和是否触发文件操作。安装前建议检查维护状态、权限边界,以及是否会执行命令或修改文件,避免安全风险。

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。

来源仓库内路径:skills/sf-ai-agentforce-conversationdesign

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/jaganpro/claude-code-sfskills --skill sf-ai-ag…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

sf-ai-agentforce-conversationdesign 怎么安装?

在终端执行 npx skills add https://github.com/jaganpro/claude-code-sfskills --skill sf-ai-agentforce-c…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

sf-ai-agentforce-conversationdesign 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

sf-ai-agentforce-conversationdesign 需要什么权限?

权限级别是只读。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。

sf-ai-agentforce-conversationdesign 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

sf-ai-agentforce-conversationdesign 用的人多吗?

公开数据是累计安装 399 次,近一周安装 16 次,下载 129 次,GitHub 225 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

sf-ai-agentforce-conversationdesign 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理开发类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
sf-ai-agentforce-conversationdesign

SF AI AgentForce 对话设计 · 本页

399225只读未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

SF-AI-Agentforce-ConversationDesign Skill

"Users don't fail conversations — conversations fail users."

Conversation design is the discipline of crafting agent interactions that feel natural, resolve issues efficiently, and gracefully handle the unexpected. This skill brings structured conversation design methodology to Salesforce Agentforce, combining industry frameworks (Google, IBM, PatternFly) with Salesforce-specific implementation patterns.


⚡ Quick Start

New agent? Start here:

  1. Design your persona → Persona Design Guide
  2. Architect your topics → Topic Architecture Guide
  3. Write instructions → Instruction Writing Guide
  4. Score your design → Quality Scorecard

Existing agent needs improvement? Start here:

  1. Run the Quality Scorecard assessment
  2. Review Anti-Patterns for quick wins
  3. Build an Improvement Plan

📚 Document Map

Tier 1 — Start Here

DocumentPurpose
This file (SKILL.md)Scoring rubric, methodology overview, core principles
README.mdQuick start, prerequisites, getting started

Tier 1.5 — Reference Guides (Extracted)

DocumentPurpose
Scoring RubricFull 8-category detailed criteria tables
Quality AssessmentAssessment process + quick health check
Continuous ImprovementIteration cycle, KPIs, utterance analysis

Tier 2 — Design Guides

DocumentPurpose
Persona Design GuideHow to define agent personality, tone, and communication style
Topic Architecture GuideBottom-up topic design, classification descriptions, scope boundaries
Instruction Writing GuideThree-level instruction framework with do's, don'ts, and examples

Tier 3 — Reference Resources

DocumentPurpose
Conversation PatternsIBM's 5 patterns mapped to Agentforce implementation
Industry FrameworksGoogle, IBM, PatternFly, Salesforce framework mappings
Anti-PatternsCommon mistakes with examples and fixes
Guardrail HierarchyFour-layer guardrail model for safety
Escalation PatternsTrigger catalog and Omni-Channel routing
Quality MetricsKPI definitions, benchmarks, measurement methods

Tier 4 — Templates & Examples

DocumentPurpose
Persona DocumentFill-in persona template
Topic ArchitectureTopic mapping worksheet
Utterance LibraryStructured utterance collection template
Escalation MatrixEscalation decision matrix
Quality Scorecard120-point assessment template
Improvement PlanPrioritized improvement template
Service Agent PersonaExample: SaaS customer service persona
Retail Topic ArchitectureExample: retail agent topic hierarchy
Healthcare EscalationExample: healthcare escalation matrix

🏆 Scoring System (120 Points)

See references/scoring-rubric.md for the full per-criterion breakdown of all 8 categories.

Category Summary

#CategoryPointsWeight
1Persona & Tone1512.5%
2Topic Architecture2016.7%
3Instruction Quality2016.7%
4Dialog Flow Design1512.5%
5Utterance Coverage1512.5%
6Escalation Design1512.5%
7Guardrails & Safety108.3%
8Continuous Improvement108.3%
TOTAL120100%

Grade Scale

GradeScore RangeDescription
A108-120Production-ready, exceptional design
B96-107Good design, minor gaps
C84-95Adequate, needs targeted improvements
D72-83Significant gaps, not production-ready
F<72Major redesign required

🎭 Persona Design

A persona defines your agent's personality, communication style, and behavioral constraints — the foundation for consistent, brand-aligned interactions.

Persona Components

  1. Identity — Name, role, department, target audience
  2. Tone Register — Casual, neutral, or formal (Agentforce setting)
  3. Personality Traits — 3-5 traits that shape response style
  4. Communication Style — Sentence length, vocabulary level, empathy patterns
  5. Limitations — What the agent explicitly will not do
  6. Messages — Welcome message and error/fallback message (<=800 chars each)

Salesforce Implementation

Agent Builder → Agent Settings → Instructions (Agent-Level)
Agent Builder → Agent Settings → Tone (Casual/Neutral/Formal)
Agent Builder → Channels → Welcome Message / Error Message

The persona lives primarily in agent-level instructions. Write them like training a new employee on Day 1 — focus on who they are and how they communicate, not on specific task procedures.

Deep Dive: Persona Design Guide | Template: Persona Document | Example: Service Agent Persona

🏗️ Topic Architecture

Topics group related actions under classification descriptions for routing. Use bottom-up design: list all actions → group by user intent → write classification descriptions → test for semantic distinctness.

Architecture Rules

RuleGuidelineRationale
Topic count<=10 per agentMore topics = more classification ambiguity
Actions per topic<=5 per topicKeeps topics focused and testable
Classification overlap<30% shared vocabularyPrevents misrouting between similar topics
Scope boundariesExplicit out-of-scope listPrevents hallucination on unknown intents

Classification Descriptions

The single most important text in your agent design — they determine routing accuracy.

✅ GOOD: "This topic handles questions about existing order status, including
tracking information, estimated delivery dates, and order modification
requests. It does NOT handle new order placement or returns."

❌ BAD: "Order stuff"
Test: Can you read two descriptions and immediately tell which utterance belongs where?
Deep Dive: Topic Architecture Guide | Template: Topic Architecture | Example: Retail Topic Architecture

✍️ Instruction Writing

Instructions operate at three levels: Agent-level (persona, global rules, 200-500w), Topic-level (workflow logic, 100-300w), Action-level (when/how to invoke, 50-150w).

Core Principles

  1. Guidance over determinism — Guide reasoning, don't hard-code every decision. "Prioritize empathy and escalate if unresolved within 2-3 exchanges" vs scripting every anger keyword.
  2. Positive framing — "Always verify identity before accessing account details" not "Don't ever access without verifying."
  3. Business principles, not decision trees — If your instruction contains if...then...else with thresholds, it belongs in Flow/Apex.
  4. Knowledge over hard-coding — Use Knowledge actions (RAG) for policies, don't inline policy text in instructions.
Deep Dive: Instruction Writing Guide

🔄 Dialog Flow Patterns

Every conversation follows a six-phase lifecycle: Greeting → Classification → Gathering → Processing → Response → Close.

Key design rules:

  • Progressive disclosure: Max 2-3 choices per turn. If more options exist, ask a qualifying question first.
  • Context preservation: Reference prior turns, avoid re-asking for information already provided.
  • Error recovery: Define clarification prompts, disambiguation paths, and graceful fallbacks for every phase.
  • Explicit closing: Summarize what was accomplished, offer follow-up, farewell appropriate to tone.

📝 Utterance Design

Utterances are test cases for your topic architecture — they validate that classification descriptions route correctly.

Categories & Targets

CategoryPurposeTarget per Topic
Happy PathPrimary intent, clear phrasing>=5
SynonymAlternate vocabulary>=3
Edge CaseAmbiguous, multi-intent>=2
AdversarialInjection, manipulation (global)>=5
Out-of-ScopeShould NOT match (global)>=5

Process: Start with real data (CRM cases, chat logs) → brainstorm synonyms → add edge cases → include adversarial → test in Testing Center → iterate on failures.

Template: Utterance Library

🚨 Escalation Design

Escalation is not failure — it's a safety net ensuring customers always reach resolution.

Trigger Catalog

Trigger TypeConditionPriority
ExplicitCustomer requests human agentP1
SafetySelf-harm, threats, emergency, legalP1
SentimentCustomer frustration or angerP2
Complexity>6 turns without resolutionP2
PolicyRequest exceeds agent authorityP2
TechnicalAction failure, system errorP3

When escalating, pass: conversation transcript, customer identity, issue summary, actions taken, and escalation reason. Agentforce provides a pre-built Escalation Topic that routes via Omni-Channel.

Deep Dive: Escalation Patterns | Template: Escalation Matrix

🛡️ Guardrails & Safety

Safety operates through four layers: Einstein Trust Layer (platform — toxicity detection, PII masking, automatic), Topic Classification (scope boundaries as first defense), Instructions (behavioral constraints — "never provide legal/medical advice"), Flow/Apex (deterministic business rule enforcement).

Critical Rule: Never rely on instructions alone for safety-critical decisions. Instructions are probabilistic. Financial limits, compliance checks, and approval gates MUST be in Flow or Apex.
Deep Dive: Guardrail Hierarchy

📊 Quality Assessment & Continuous Improvement

See references/quality-assessment.md for the full assessment process and 5-question quick health check.
See references/continuous-improvement.md for the Monitor → Analyze → Fix → Retest → Deploy iteration cycle, KPI targets, and utterance analysis process.

⚠️ Anti-Patterns

#Anti-PatternImpactFix
1Negative instructionsConfuses LLM reasoningReframe positively
2Over-constrainingRigid, brittle responsesUse guiding principles
3Business rules in instructionsInconsistent enforcementMove to Flow/Apex
4Monolithic topicsPoor classification accuracySplit into focused topics
5Overlapping classificationsMisroutingMake descriptions distinct
6Missing escalation pathsDead-end conversationsDefine triggers for all failure modes
7No utterance testingUntested classificationBuild utterance library
8Hard-coded policiesStale informationUse Knowledge actions
9Ignoring contextRepetitive re-askingLeverage conversation state
10Happy-path-only testingFragile in productionTest edge cases and adversarial
Deep Dive: Anti-Patterns — Full examples with before/after fixes.

🔗 Chain Integration

This skill is the first step in the Agentforce development chain:

From This SkillTo SkillWhat's Handed Off
Topic architecturesf-ai-agentscriptTopic names, actions, classification descriptions
Instruction setssf-ai-agentscriptThree-level instructions for agent script
Utterance librarysf-ai-agentforce-testingTest cases for multi-turn testing
Escalation matrixsf-flowEscalation flow logic
Action definitionssf-apex / sf-flowAction implementation requirements

📎 Credits & References

  • Google Conversation Design Guidelines
  • IBM Natural Conversation Framework
  • Red Hat PatternFly AI Design System
  • Salesforce Conversational AI Design Guide
  • Salesforce Architect: Agentic Patterns & Taxonomy

See CREDITS.md for full attribution.

平台分布

Codex

38.07%
按下载量换算49

Claude

29.08%
按下载量换算38

Cursor

21.53%
按下载量换算28

Gemini CLI

8.77%
按下载量换算11

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。目前只有一个公开来源,建议同时核对源仓库。

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