Smoking (Tracker, Logger, Quit, Reduce)

Track smoking and nicotine use, reduce consumption, or quit with neutral logs, trigger mapping, and adaptive plans.

Safety Notice

This listing is from the official public ClawHub registry. Review SKILL.md and referenced scripts before running.

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Install skill "Smoking (Tracker, Logger, Quit, Reduce)" with this command: npx skills add ivangdavila/smoking

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

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

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