goal-methodology
This skill should be used when the user asks about "setting goals", "goal adjustment", "why am I failing", "how to build habits", "streak broken", "motivation", "realistic targets", or needs guidance on effective goal-setting strategies, habit formation psychology, or adjusting goals based on data.
SKILL.md
| Name | goal-methodology |
| Description | This skill should be used when the user asks about "setting goals", "goal adjustment", "why am I failing", "how to build habits", "streak broken", "motivation", "realistic targets", or needs guidance on effective goal-setting strategies, habit formation psychology, or adjusting goals based on data. |
name: Goal Methodology description: This skill should be used when the user asks about "setting goals", "goal adjustment", "why am I failing", "how to build habits", "streak broken", "motivation", "realistic targets", or needs guidance on effective goal-setting strategies, habit formation psychology, or adjusting goals based on data. version: 1.0.0
Goal Setting and Tracking Methodology
Apply these principles when helping users set, track, and adjust their personal goals.
Goal Setting Framework
SMART+ Goals
Extend traditional SMART goals for personal tracking:
- Specific: "Exercise 3x/week" not "exercise more"
- Measurable: Must match a trackable metric
- Achievable: Based on current performance + 10-20%
- Relevant: Connects to user's stated priorities
- Time-bound: Daily, weekly, or monthly period
- +Adjustable: Built-in review points
Initial Goal Calibration
When setting a new goal:
- Query last 30 days of data for baseline
- Calculate current average/completion rate
- Suggest target = current + 15% (not more)
- Set review point at 2 weeks
Example: If user exercises 2.3 days/week average, suggest 3 days/week goal (not 5).
Goal Types by Metric
| Metric Type | Recommended Goal Type |
|---|---|
| Boolean (habits) | Streak or completion rate |
| Numeric (health) | Target value or range |
| Duration (sleep) | Minimum per day |
| Ratings (mood) | Average threshold |
Habit Formation Psychology
The 21/66 Day Myth
Research shows habit formation takes 18-254 days, averaging 66 days. Adjust expectations:
- Days 1-14: Conscious effort required, high failure risk
- Days 15-30: Getting easier but still fragile
- Days 31-66: Habit solidifying
- Days 67+: Mostly automatic
Streak Psychology
Streaks are powerful but double-edged:
Benefits:
- Visual progress motivation
- "Don't break the chain" effect
- Compound identity formation
Risks:
- All-or-nothing thinking
- Devastating reset after break
- Perfectionism paralysis
Mitigation strategies:
- Allow 1 "grace day" per week/month
- Track "longest streak" separately from "current"
- Celebrate recovery speed, not just streaks
- Use completion rates alongside streaks
The "Never Miss Twice" Rule
After a missed day:
- Acknowledge without judgment
- Focus on immediate next action
- Track "recovery streaks" (bouncing back quickly)
- Prevent the spiral: one miss ≠ failure
Goal Adjustment Strategies
When to Adjust Goals
Review goals when:
- Completion rate below 60% for 2+ weeks
- Completion rate above 95% for 2+ weeks
- Major life changes occur
- User expresses frustration or boredom
Adjustment Patterns
Goal too hard (< 60% completion):
- Reduce target by 20-30%
- Break into smaller sub-goals
- Add "minimum viable" version
- Check for external blockers
Goal too easy (> 95% completion):
- Increase target by 10-15%
- Add quality dimension (duration, intensity)
- Stack with related habit
- Set stretch goal alongside base goal
Plateaued metric (no change for 4+ weeks):
- Check if goal is still relevant
- Try different approach (time of day, method)
- Add supporting habits
- Accept and maintain if appropriate
The Minimum Viable Habit
For struggling habits, define the smallest possible version:
| Full Habit | Minimum Viable |
|---|---|
| 30 min exercise | 10 min walk |
| Meditate 20 min | 3 deep breaths |
| Read 1 hour | Read 1 page |
| Journal daily | Write 1 sentence |
"Never zero" beats "perfect or nothing"
Data-Driven Insights
Correlation Analysis
Look for patterns in user data:
- Day-of-week effects (weekend drops)
- Metric correlations (exercise → sleep quality)
- Seasonal patterns
- Trigger events
Review Cadence
| Period | Focus |
|---|---|
| Daily | Log entries, quick wins |
| Weekly | Trend check, minor adjustments |
| Monthly | Deep analysis, goal revision |
| Quarterly | Priority review, major changes |
Presenting Insights
When sharing analysis:
- Lead with wins (positive reinforcement)
- Show trends, not just numbers
- Suggest specific, actionable changes
- Acknowledge external factors
- Offer options, not mandates
Motivation Maintenance
Celebrating Progress
- Acknowledge personal bests
- Note streak milestones (7, 14, 21, 30, 60, 90)
- Recognize consistency over perfection
- Celebrate goal completion
Reframing Setbacks
When user is discouraged:
- Zoom out to longer timeframe
- Compare to starting point
- Identify what IS working
- Focus on learning, not failure
- Suggest smallest next action
Identity-Based Habits
Shift focus from outcomes to identity:
- "I'm becoming someone who exercises" vs "I want to exercise 3x/week"
- Each logged entry is "a vote for the person you want to become"
- Celebrate consistent logging regardless of metric values