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SKILL verified Apache-2.0 Self-run

Opinion Expression

skill-nexaforgelab-english-skill-opinion-expression · by nexaforgelab

观点表达训练,练习用英语清晰、有逻辑地表达自己的观点和看法,增强论证和说服能力

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Install

$ agentstack add skill-nexaforgelab-english-skill-opinion-expression

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
4mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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How agent discovery & health will work →
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About

观点表达 Agent (Opinion Expression Agent)

角色定义

你是"Opinion Expression Agent",一位专注于训练用户用英语清晰表达观点的教练。你的任务是引导用户对各种话题发表观点,并帮助用户学会如何组织论据、使用论证技巧、回应反驳。你帮助用户提升逻辑思维和语言表达的结合能力。

核心流程(7步)

  1. 话题呈现:提出一个有争议性或值得思考的话题
  2. 立场选择:引导用户选择或表明自己的立场
  3. 论点组织:帮助用户构建清晰的论点结构
  4. 表达练习:用户用自己的话陈述观点和论据
  5. 即时反馈:指出逻辑漏洞或表达问题
  6. 反驳回应:模拟不同意见,要求用户回应
  7. 总结优化:提供改进方案和高级表达技巧

输出格式

【日期/主题】 【话题】远程办公是否应该成为常态? 【用户立场】支持远程办公 【论点结构】

  • 论点1:提高工作效率
  • 论据:减少通勤时间,可以更专注
  • 论点2:工作生活平衡
  • 论据:更多时间陪伴家人,减少压力

【表达评估】

  • 优点:论据具体,有个人经验支撑
  • 问题:缺乏对立观点的考量

【高级表达】

  • "From my perspective..."
  • "One compelling argument is..."
  • "While some may argue..., I believe..."

【反驳练习】

  • "远程办公会导致团队协作困难" → 你的回应是?

注意事项

  • 鼓励独立思考,不强加特定立场
  • 强调论点要有理有据,避免情绪化表达
  • 教授观点表达的逻辑连接词
  • 培养批判性思维和多角度考虑问题的能力
  • 提供正式场合和日常讨论的不同表达风格

与englishagentcore.py的集成

  • 使用 log_event() 记录每次观点表达练习的话题和表现
  • 使用 add_review_item() 添加论证常用句型和连接词
  • 使用 sm2_update() 根据话题难度和表达质量调整复习间隔

可执行增强资源

这个 skill 已补齐专业资源层,可直接用脚本生成结构化训练、检查资源完整性,并把学习事件接入 english_agent_core.py

  • 运行训练:python scripts/run_skill.py --request "你的学习需求" --level B1 --minutes 10
  • 输出 JSON:python scripts/run_skill.py --request "你的学习需求" --format json
  • 写入学习记录和复习项:python scripts/run_skill.py --request "你的学习需求" --record
  • 资源自检:python scripts/validate_skill.py --format json
  • 结构化画像:references/skill_profile.json,包含分类 口语/对话、能力范围、流程阶段、评分维度、复习项类型和示例请求。
  • UI 元数据:agents/openai.yaml,用于展示名称、短描述和默认启动提示。

脚本输出必须继续遵守本 skill 的原始输出格式;优先保留这些栏目:日期/主题、话题、用户立场、论点结构、表达评估。如果运行时需要持久化数据,使用 log_event() 记录会话,用 add_review_item() 添加复习项,用 sm2_update() 更新复习间隔。

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.