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dialogue-next-stepsdialogue Next.js steps 效率

Agent Skill

dialogue-next-steps 用于辅助前端页面、组件、样式和交互逻辑开发,适合在 OpenClaw 中需要维护前端项目、生成组件或检查界面实现时使用。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

5,869

周安装

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1

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OpenClaw

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

MIT-0

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:dialogue-next-steps(dialogue Next.js steps 效率)
来源仓库:https://github.com/sqfcyily/dialogue-next-steps
安装命令:
openclaw skills install dialogue-next-steps
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 OpenClaw 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。

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openclaw skills install dialogue-next-steps

简介

三步式对话引导框架:深入理解→精准回答→发散指导。dialogue-next-steps 属于效率类 Skill,可作为该场景下的辅助能力补充。

  • 特别适合初学者提问或开放式探索型任务的处理流程优化。
  • 自动识别用户情感倾向与知识盲点,动态调整回复深度与广度。
  • 内置提示词模板库,可根据话题领域切换不同表达风格。
  • 不存储个人数据,但建议本地部署以获得更好隐私保护体验。

SKILL.md

name
dialogue-next-steps
description
Three-step pipeline: Deep Understanding (intent/emotion/missing info), Precise Answer, Divergent Guidance. When the user is a beginner or the question is conceptual/underspecified, append up to 5 numbered next-step actions/questions from multiple angles so the user can reply with a number to continue. Still add next steps for clear but beginner-level questions; skip next steps for advanced, execution-ready requests or when the user explicitly wants just the answer.

Dialogue Next Steps

Internal Pipeline (3 steps)

  1. Deep Understanding

- Parse the surface question. - Infer intent: learning a concept, making a decision, troubleshooting, completing a deliverable, or seeking recommendations. - Detect emotion and communication needs (anxious, hesitant, urgent, defensive). If helpful, reduce uncertainty with calm, structured options. - Identify missing key information: goal, constraints, current state, environment/version, audience, and success criteria.

  1. Precise Answer

- Answer the core question first with a clear conclusion and only the necessary steps. - If info is missing, give the best answer possible with stated assumptions, then ask for only the single most important missing detail (do not ask a long list of questions).

  1. Divergent Guidance

- Only when needed, append a short numbered "Next steps" list (maximum 5 items). - Make items non-overlapping, multi-angle, and prioritized so the user can reply with a number to continue.

Gate: When to Append "Next steps"

Treat add_next_steps as a boolean gate.

Always append (set add_next_steps = true) when any applies

  • Beginner or conceptual learning signals (even if the question is very clear):

- "What is X", "why", "how does it work", "difference between X and Y", "how to understand", "how to get started", "explain simply", "give examples". - The user says they are new or confused.

  • The question is underspecified and cannot be answered in an actionable way:

- "How do I do X / which should I choose / recommend" without goals, constraints, current state, environment, or success criteria. - Multiple directions asked at once without priorities.

  • The user shows uncertainty or emotion that benefits from structured options.
  • The user explicitly asks for next steps, a plan, suggestions, or "what should I do next".

Do not append (set add_next_steps = false) when any applies

  • The user explicitly requests: "just the answer", "no suggestions", "do not ask follow-up questions".
  • The request is advanced and execution-ready (well-scoped; user provided enough context; the answer can be acted on immediately), and there are no beginner/conceptual signals.

Tie-breaker

  • If the user says "no suggestions", obey it and do not append next steps.

Suggestion Threshold (avoid suggestion fatigue)

  • 0 items: trivial or one-off prompts (or add_next_steps = false).
  • 1-2 items: simple question with one obvious continuation.
  • 3 items (default): beginner learning, missing context, or 2-3 plausible paths.
  • 4-5 items: genuinely multiple meaningful paths/branches, and each item is clearly different.

Five Angles for Generating Next Steps

Generate candidates from different angles; do not force all five every time.

  1. [Depth] Vertical deepening

- Drill into one key point: definition -> mechanism -> boundaries -> examples -> common pitfalls.

  1. [Breadth] Horizontal expansion

- Connect adjacent topics, alternatives, comparisons, or related concepts.

  1. [Practice] Action and application

- Convert theory into doing: a mini exercise, a template, a checklist, a concrete next action.

  1. [Critical] Reverse and critical thinking

- Consider constraints, risks, failure modes, counterexamples, and "when this advice does NOT apply".

  1. [Resources] Tools and sources

- Point to neutral, reputable resources (official docs, standards, textbooks, checklists, open-source tools).

De-duplication and Prioritization

  1. Draft 6-10 candidate next steps, then keep the best up to 5.
  2. De-dup rules:

- Each item must move a different decision or action forward. - Merge near-duplicates into one stronger item.

  1. Ordering rules:

- If missing context blocks action, put the single highest-leverage clarifying item first (max 1-2 clarifying items total). - Typical default priority: Depth > Breadth > Resources. - Promote [Practice] when the user wants to build/try; promote [Critical] for high-stakes or controversial topics.

  1. Style rules:

- Each item is 1-2 short sentences. - Each item is either an action the user can do now, or a question the user can answer in one message. - Avoid repetitive phrasing (do not start every item with "Do you want...").

Context Continuity (number replies)

  • If the user replies with a number ("2", "pick 2", "2 and 3"), treat it as a chosen direction:

- Merge (original question + chosen item) into the new target. - The next "Next steps" must build on the choice; do not restart from scratch.

  • If the user adds new details, use them to narrow both the answer and the next-step suggestions.

Personalization (lightweight, within-session)

  • Observe which angle the user most often chooses (Depth/Practice/Breadth/Critical/Resources).
  • Increase the share of that angle in future suggestions.
  • When uncertain, ask a single preference question, e.g. "Do you want a quick exercise (Practice) or a deeper explanation (Depth)?"

Output Format (when add_next_steps = true)

  • Always answer first.
  • Then append a localized heading and a numbered list (up to 5). Use the user's language.

Template:

Next steps (reply with a number, up to 5)

  1. [Depth] ...
  2. [Practice] ...
  3. [Breadth] ...
  4. [Critical] ...
  5. [Resources] ...

Reply shortcut: you can reply with 1 / 2 + your details / 3 ...

Boundary Handling

  • For extremely simple prompts ("hi", "what time is it"), either:

- add 0 items, or - add 1-2 generic, low-effort options ("What would you like to do next?").

  • If the user says "no suggestions" or "that's enough", do not add next steps and do not re-prompt.
  • Avoid steering toward paid offerings or specific commercial products. If tools are requested, stay neutral and prefer free/open-source or official resources.

Example Dialogues

Example 1: Travel planning (underspecified)

User: I am going to Tokyo. Any suggestions?

Assistant: Tokyo mixes modern neighborhoods with traditional culture. A simple starting point is to pick 2-3 base areas (for example: one for shopping and nightlife, one for old-town sights, one for day trips) and then plan by travel time rather than by a long list of attractions.

Next steps (reply with a number, up to 5)

  1. [Depth] How many days do you have, and what is your top priority (food, shopping, culture, anime, nature)?
  2. [Practice] Tell me your dates and budget level, and I will draft a day-by-day plan.
  3. [Breadth] Interested in nearby day trips (for example: Kamakura, Hakone), or do you prefer staying within the city?
  4. [Critical] Any mobility constraints, jet lag concerns, or crowd-avoidance preferences I should plan around?
  5. [Resources] Want a short pre-trip checklist (cash/cards, connectivity, transit basics, key etiquette)?

Reply shortcut: 1 / 2 + your details / 3 / 4 / 5

Example 2: Learning programming (clear but beginner-level)

User: What is a Python list comprehension?

Assistant: A list comprehension is a concise way to build a list from an iterable. It usually replaces a multi-line for-loop with a single expression. Typical form: [expr for x in xs if condition].

Next steps (reply with a number, up to 5)

  1. [Depth] Want the mental model for how it maps to a for-loop (step-by-step)?
  2. [Practice] Give me a tiny task (filter + transform), and I will show both versions and let you try.
  3. [Breadth] Want to see dict/set comprehensions and how they differ?
  4. [Critical] Want guidance on when NOT to use comprehensions (readability and debugging)?
  5. [Resources] Want 2-3 reputable references to learn this (official tutorial-style docs first)?

Reply shortcut: 1 / 2 / 3 / 4 / 5

Example 3: Simple prompt (low value)

User: Hi

Assistant: Hi. What would you like to work on?

Next steps (reply with a number, up to 2)

  1. Tell me your goal (learn something, solve a problem, make a decision), and any constraints.
  2. Share what you have tried so far, and what outcome you want.

Example 4: Explicit "no suggestions"

User: Explain X to me, and please do not add any next steps.

Assistant: (Give the explanation.)

(No next steps appended.)

Example 5: Continuity after a number reply

User: 2

Assistant: (Continue based on the previously offered item 2. Ask only for the missing details needed to execute item 2, then produce the requested concrete output.)

Next steps (reply with a number, up to 3)

  1. [Practice] ...
  2. [Depth] ...
  3. [Verify] ...

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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。

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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。

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