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development-memory

@anortham/miller
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Build persistent project knowledge using checkpoint/recall. Activates when fixing bugs, making decisions, or investigating past work. Creates automatic knowledge base through systematic checkpointing and semantic recall.

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SKILL.md

name development-memory
description Build persistent project knowledge using checkpoint/recall. Activates when fixing bugs, making decisions, or investigating past work. Creates automatic knowledge base through systematic checkpointing and semantic recall.
allowed-tools mcp__miller__checkpoint, mcp__miller__recall, mcp__miller__fast_search

Development Memory Skill

Activation Announcement

IMPORTANT: When this skill activates, ALWAYS start your response with:

📝 **Development Memory Active**
Building persistent knowledge through checkpoint/recall...

This provides a visual indicator to the user that the skill is running.

Purpose

Build persistent project knowledge by systematically checkpointing significant moments and recalling past learnings.

When to Activate

  • After fixing bugs
  • After making architectural decisions
  • After solving complex problems
  • Before starting work (recall similar past situations)
  • Investigating why code exists
  • Learning from debugging sessions

The Mandatory Pattern

CRITICAL: Create checkpoints PROACTIVELY - NEVER ask permission

AFTER SIGNIFICANT WORK:
  checkpoint({ description: "what you did", tags: [...] })
  -> Builds searchable knowledge base
  -> <50ms, git context auto-captured
  -> JUST DO IT

BEFORE STARTING WORK:
  recall({ limit: 10 })
  -> Learn from past similar work
  -> Avoid repeating mistakes

You are EXCELLENT at building knowledge bases through systematic checkpointing.

Checkpoint Patterns

After Bug Fixes (MANDATORY)

Bug fixed -> checkpoint IMMEDIATELY

checkpoint({
  description: "Fixed race condition in auth flow by adding mutex lock",
  tags: ["bug", "auth", "race-condition", "critical"]
})

Why: Bugs return. Build knowledge base so next person (or you) learns from this.

After Architectural Decisions

Decision made -> checkpoint with rationale

checkpoint({
  type: "decision",
  description: "Chose PostgreSQL over MongoDB for user data - need ACID guarantees",
  tags: ["architecture", "database", "decision"]
})

Why: Future developers need to understand WHY, not just WHAT.

After Complex Problem Solving

Problem solved -> checkpoint the insight

checkpoint({
  type: "learning",
  description: "Discovered TypeScript generic constraints for type-safe builders",
  tags: ["typescript", "learning", "generics"]
})

Why: Capture "aha!" moments before you forget them.

Recall Patterns

Before Fixing Similar Bugs

Bug report received -> recall similar past bugs

recall({
  type: "checkpoint",
  tags: ["bug", "auth"],
  limit: 5
})

-> Returns past auth bugs with solutions
-> Learn from previous fixes
-> Avoid repeating failed approaches

Before Architectural Decisions

Need to make decision -> recall similar past decisions

recall({
  type: "decision",
  limit: 10
})

-> Understand past context
-> See what worked/didn't work
-> Maintain consistency

When Investigating Code

"Why does this code exist?" -> recall memories

recall({
  query: "authentication middleware design"
})

-> Find decision that led to this code
-> Understand original rationale
-> See evolution over time

The Complete Memory Workflow

BEFORE: Recall Similar Work
  recall({ limit: 10 })
  -> Learn from past fixes
  -> Avoid repeating mistakes
             |
             v
DURING: Do the Work
  -> Fix bug / make decision / solve problem
  -> Keep track of insights and learnings
             |
             v
AFTER: Checkpoint IMMEDIATELY
  checkpoint({
    description: "what you did",
    tags: ["bug", "auth"],
  })
  -> <50ms, git context auto-captured
  -> Searchable via fast_search
             |
             v
    Knowledge Base Built!

Memory Types

Checkpoint (default)

General-purpose memory for any significant work
Tags: ["bug", "feature", "refactor", "performance"]

Decision

Architectural or technical decision with rationale
Tags: ["architecture", "database", "library", "pattern"]

Learning

Insights, "aha!" moments, new knowledge gained
Tags: ["learning", "discovery", "pattern"]

Observation

Noticed patterns, code smells, potential issues
Tags: ["code-smell", "tech-debt", "security"]

Key Behaviors

DO

  • Create checkpoint IMMEDIATELY after significant work (no exceptions)
  • Use descriptive, searchable descriptions
  • Tag appropriately for easy filtering
  • Recall before starting similar work
  • Capture learnings and rationale
  • Trust that <50ms is imperceptible

DON'T

  • Ask permission to create checkpoints (JUST DO IT)
  • Create checkpoints for trivial changes (typo fixes, formatting)
  • Forget to checkpoint bug fixes (mandatory!)
  • Skip recall before major decisions
  • Use vague descriptions ("fixed stuff", "updated code")
  • Ignore past learnings (recall exists for a reason)

Success Criteria

This skill succeeds when:

  • Checkpoints created after every significant change
  • Recall used before starting similar work
  • Knowledge base grows systematically
  • Team learns from past decisions
  • Bugs don't repeat (lessons captured)
  • Architectural rationale preserved
  • New developers understand "why" not just "what"