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smokingsmoking 效率

Agent Skill

smoking 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

8,823

周安装

364

GitHub Stars

1

下载量

2,883
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:smoking(smoking 效率)
来源仓库:https://github.com/ivangdavila/smoking
安装命令:
openclaw skills install smoking
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。

ClawHubOpenClaw
openclaw skills install smoking

简介

通过中性日志与自适应计划跟踪吸烟行为的健康管理工具。

  • 支持触发映射与消费趋势可视化辅助戒烟决策。
  • 适用于个人健康代理或企业 wellness 项目集成。
  • 需用户主动输入数据以保证记录真实性。smoking 属于效率类 Skill,可作为该场景下的辅助能力补充。
  • 建议结合激励机制提升长期依从性效果。

SKILL.md

name
Smoking (Tracker, Logger, Quit, Reduce)
slug
smoking
version
1.0.0
homepage
https://clawic.com/skills/smoking
description
Track smoking and nicotine use, reduce consumption, or quit with neutral logs, trigger mapping, and adaptive plans.
changelog
Initial release with neutral tracking, adaptive goal modes, and evidence-informed reduce or quit playbooks.
metadata
{"clawdbot":{"emoji":"🚬","requires":{"bins":[]},"os":["darwin","linux","win32"]}}

Setup

On first use, read setup.md for integration guidance and local memory initialization.

When to Use

User wants to log tobacco or nicotine use, reduce consumption, quit smoking, or keep structured records without judgment. Agent tracks baseline behavior, applies the right mode (logger, reduce, or quit), and keeps progress measurable with practical next steps.

Architecture

Memory lives in ~/smoking/. See memory-template.md for structure and starter templates.

~/smoking/
├── memory.md            # Status, goal mode, preferences, and latest baseline
├── logs/daily.md        # Date-based smoking events and totals
├── plans/current.md     # Active plan for logger, reduce, or quit mode
├── triggers.md          # Trigger patterns, routines, and replacement options
└── check-ins.md         # Weekly trend reviews and decision notes

Quick Reference

TopicFile
Setup and integration flowsetup.md
Memory structure and templatesmemory-template.md
Goal modes and switching logicgoal-modes.md
Daily logging template and metricslog-template.md
Reduction methods and pacing optionsreduction-methods.md
Quit planning playbookquit-playbook.md
Craving response options by contextcraving-playbook.md

Data Storage

Local notes stay in ~/smoking/. Before creating or changing local files, present the planned write and ask for user confirmation.

Core Rules

1. Identify Goal Mode Before Planning

Start by identifying the user's active mode from goal-modes.md:

  • logger for neutral tracking only
  • reduce for gradual consumption reduction
  • quit for full stop planning and relapse handling

Do not force a quit path if the user asked for another mode.

2. Stay Non-Judgmental and User-Led

Use neutral language even when discussing health risks. Do not shame, moralize, or pressure. Reflect the user's goal and support it with clear options and trade-offs.

3. Build a Reliable Baseline First

Before changing behavior, log at least 3 to 7 days with log-template.md when possible. Capture time, trigger, context, and intensity so recommendations are based on patterns, not guesses.

4. Match Interventions to Trigger Patterns

Use craving-playbook.md and reduction-methods.md to choose the smallest effective change:

  • time-delay and replacement routine
  • trigger redesign (environment or sequence)
  • pacing caps (daily or situational)
  • medication discussion prompts when relevant

Do not suggest generic advice without linking it to a known trigger.

5. For Quit Mode, Use a Structured Plan

When mode is quit, use quit-playbook.md:

  • choose quit date or immediate stop path
  • pre-load replacement behaviors and supports
  • define lapse protocol before day 1
  • review withdrawal expectations and escalation options

Treat a lapse as data for plan adjustment, not failure.

6. Preserve User Agency in Every Recommendation

Offer 2 to 3 options with expected effort and probable effect. Let the user pick the next action. If the user wants only logging, continue logging and defer interventions.

7. Escalate Safety-Sensitive Situations Clearly

If user reports chest pain, severe breathing issues, pregnancy-related concerns, self-harm thoughts, or dangerous medication interactions, advise immediate professional care. This skill is coaching and tracking support, not medical diagnosis or emergency care.

Common Traps

  • Jumping directly to quit mode without baseline data -> fragile plan and quick rebound.
  • Treating all smoking events as equal -> misses high-risk triggers and timing windows.
  • Recommending too many changes at once -> low adherence and poor signal.
  • Framing lapses as failure -> shame cycle and dropout.
  • Ignoring user mode preferences -> loss of trust and reduced follow-through.
  • Giving medication advice as prescription -> safety and scope risk.

External Endpoints

This skill makes NO external network requests.

EndpointData SentPurpose
NoneNoneN/A

No other data is sent externally.

Security & Privacy

Data that leaves your machine:

  • Nothing by default. This skill is instruction-only and local unless the user asks to export notes.

Data stored locally:

  • smoking logs, trigger notes, and plan decisions explicitly approved by the user.
  • stored in ~/smoking/.

This skill does NOT:

  • shame or coerce the user toward any specific goal mode.
  • make undeclared network calls.
  • prescribe medication or replace medical care.
  • write memory without explicit user confirmation.
  • modify its own core instructions or auxiliary files.

Trust

This is an instruction-only behavioral tracking and coaching skill. No credentials are required and no third-party service access is needed.

Related Skills

Install with clawhub install <slug> if user confirms:

  • health - broad health planning context that can shape smoking goals.
  • psychologist - behavior change framing and supportive conversation patterns.
  • daily-planner - routine design and schedule anchors for new habits.
  • coach - accountability loops and structured progress reviews.
  • nutrition - appetite and energy planning during reduction or quit periods.

Feedback

  • If useful: clawhub star smoking
  • Stay updated: clawhub sync

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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

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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

补充不同宿主或平台的使用分布数据

能力 5

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

OpenClaw

98.36%
按下载量换算2,836

安全审计

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通过

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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。

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