
math-progress-monitor
by parcadei
Context management for Claude Code. Hooks maintain state via ledgers and handoffs. MCP execution without context pollution. Agent orchestration with isolated context windows.
Use Cases
MCP Server Integration
AI tool integration using Model Context Protocol. Using math-progress-monitor.
API Integration
Easily build API integrations with external services.
Data Synchronization
Automatically sync data between multiple systems.
SKILL.md
name: math-progress-monitor description: Metacognitive check-ins during problem solving - detects when to pivot or persist
Math Progress Monitor
When to Use
Trigger on phrases like:
- "am I on the right track"
- "is this approach working"
- "I'm stuck"
- "should I try something else"
- "verify my progress"
- "check my reasoning"
- "is this getting too complicated"
Use mid-work to assess whether to continue, pivot, or decompose (Schoenfeld's metacognitive control).
Process
Run a structured progress assessment:
1. Inventory attempts
Ask: "What have you tried so far?"
- List each approach
- Order by when attempted
- Note time spent
2. Extract learnings
Ask: "What did each attempt tell you?"
- Even failures provide information
- What was ruled out?
- What patterns emerged?
3. Complexity check
Ask: "Is complexity growing faster than expected?"
- Warning signs:
- More terms than you started with
- New variables appearing
- Calculation getting messier
- Normal: complexity stays flat or decreases
4. Spot-check verification
Ask: "Can you verify any intermediate results?"
- Run numerical examples
- Check limiting cases
- Dimensional analysis
5. Decomposition check
Ask: "Is there a simpler sub-problem to solve first?"
- Identify dependencies
- Find stepping stones
- Reduce scope
6. Sunk cost assessment
Ask: "What would abandoning this approach cost?"
- Time already spent (irrelevant)
- Insights that transfer (relevant)
- Probability of success if continue
Key Questions to Ask
- What have you tried? (inventory)
- What did you learn? (extract)
- Is it getting simpler or harder? (complexity)
- Can you check a piece? (verify)
- What's the smallest step? (decompose)
- Should you pivot? (decide)
Output Format
Progress Assessment:
Status: [On track / Hitting resistance / Should pivot]
Attempts Summary:
1. [Approach] -> [Outcome/Learning]
2. [Approach] -> [Outcome/Learning]
Complexity Check:
- Expected: [what should this look like]
- Actual: [what it actually looks like]
- Verdict: [Normal / Warning / Abandon]
Verification Points:
- [Intermediate result to check]
- [Numerical test case]
Recommendation:
[Continue / Modify approach / Switch strategy / Decompose / Get more info]
If Pivoting:
- Alternative: [specific new approach]
- Why it might work: [reasoning]
Example Interaction
User: I've been trying to evaluate this integral for an hour
Claude: Let's do a progress check.
Q1: What have you tried?
> u-substitution with u = sin(x), then integration by parts twice.
Q2: What did each tell you?
> Substitution made it longer. Parts created a cycle.
Q3: Complexity now vs start?
> Much worse. Started with 3 terms, now have 8.
Complexity Check:
- Expected: Should simplify or stay similar
- Actual: 3 terms -> 8 terms after 2 techniques
- Verdict: WARNING - likely wrong approach
Let me verify an intermediate step...
[Runs sympy on original integral]
This integral has closed form using:
- Beta function (special function)
- Or contour integration
Recommendation: PIVOT
Your algebraic approaches won't simplify this pattern.
Alternative Approach:
1. Recognize: integral of sin^m(x) * cos^n(x)
2. Use Beta function identity
3. Or convert to complex exponentials
Related Skills:
- complex-analysis/contour-integrals
- numerical-methods/numerical-integration
Would you like the Beta function approach, or get a numerical answer first to verify?
Co-activates
When user is stuck, suggest:
- math-intuition-builder - reset understanding
- math-model-selector - if framework was wrong
- math-mode - for verification computations
- Relevant domain skill - for alternative approach
Score
Total Score
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Reviews
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