Agent Skill
2/7/2026

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.

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mberto10
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SKILL.md

Namegoal-methodology
DescriptionThis 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:

  1. Query last 30 days of data for baseline
  2. Calculate current average/completion rate
  3. Suggest target = current + 15% (not more)
  4. 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 TypeRecommended 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):

  1. Reduce target by 20-30%
  2. Break into smaller sub-goals
  3. Add "minimum viable" version
  4. Check for external blockers

Goal too easy (> 95% completion):

  1. Increase target by 10-15%
  2. Add quality dimension (duration, intensity)
  3. Stack with related habit
  4. Set stretch goal alongside base goal

Plateaued metric (no change for 4+ weeks):

  1. Check if goal is still relevant
  2. Try different approach (time of day, method)
  3. Add supporting habits
  4. Accept and maintain if appropriate

The Minimum Viable Habit

For struggling habits, define the smallest possible version:

Full HabitMinimum Viable
30 min exercise10 min walk
Meditate 20 min3 deep breaths
Read 1 hourRead 1 page
Journal dailyWrite 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

PeriodFocus
DailyLog entries, quick wins
WeeklyTrend check, minor adjustments
MonthlyDeep analysis, goal revision
QuarterlyPriority review, major changes

Presenting Insights

When sharing analysis:

  1. Lead with wins (positive reinforcement)
  2. Show trends, not just numbers
  3. Suggest specific, actionable changes
  4. Acknowledge external factors
  5. 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
Skills Info
Original Name:goal-methodologyAuthor:mberto10