Phase 1-3: Add memory, skills, and improvement systems

- memory/: cross-session project memory with decisions, lessons, failures,
  architecture, and sessions categories. Each has format templates and
  lifecycle documentation.
- skills/: 12 reusable specialized methodologies (tdd, systematic-debugging,
  architecture-design, code-review, security-review, repository-analysis,
  failure-analysis, refactoring, test-analysis, incident-investigation,
  browser-automation, research). Each has frontmatter and methodology sections.
- improvements/: proposal-based improvement system requiring human approval.
- scripts/memory-lifecycle.sh: deterministic memory operations (recall, store,
  list, search, sessions, cleanup).
- scripts/test-memory-system.sh: 12 structural tests for all new systems.
- orchestrator.md: added Memory Recall stage, Learning and Memory Storage
  stage, Improvement Proposals workflow, memory/skills rules, and 3 new
  actions (A23-A27) to the action catalog. Updated behavioral acceptance test
  and state separation model.
- All 12 subagents: added Memory & Skills Awareness sections with recall
  and store instructions.
- docs/AGENT_ARCHITECTURE.md: documented memory, skills, and improvements
  systems (sections 12-14). Updated action count (27), state model, and
  remaining weaknesses.
- README.md: documented new systems, updated repository layout, added
  test-memory-system.sh documentation.

All 39 tests pass (16 architecture + 12 memory + 11 bootstrap).
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---
name: systematic-debugging
description: Systematic debugging methodology — hypothesis-driven root cause investigation
version: "1.0"
owner: Detective
prerequisites: symptom observed, reproducible failure available
---
# Systematic Debugging
## When to use this skill
- A test fails, a feature breaks, or behavior diverges from expectation
- The root cause is not immediately obvious
- Multiple possible causes exist
## Core methodology
```text
SYMPTOM → OBSERVE → HYPOTHESIZE → TEST → TRACE → ELIMINATE → ROOT CAUSE
```
## Step-by-step procedure
### 1. Reproduce the symptom
- Confirm you can trigger the failure reliably
- Record the exact command, input, and output
- Note the environment (OS, versions, state)
### 2. Observe the evidence
- Read error messages carefully (every word matters)
- Check logs, stack traces, and output
- Note what changed since the last working state
### 3. Form hypotheses
- List possible causes (aim for 3-5)
- Rank by likelihood based on evidence
- For each hypothesis: what would be true if this were the cause?
### 4. Test hypotheses
- Design the cheapest test for the most likely hypothesis
- Use binary elimination: each test should rule out at least one hypothesis
- Record what you actually observed vs. what you expected
### 5. Trace the failure
- Follow the execution path from symptom to cause
- Add strategic print/log statements if needed
- Narrow down: which component, which function, which line?
### 6. Eliminate alternatives
- Explicitly state why other hypotheses are ruled out
- Document the evidence for each elimination
### 7. Establish root cause
- State the root cause with confidence level (high/medium/low)
- Provide supporting evidence (file:line, command output)
- Identify what conditions make this cause trigger
## Common pitfalls
- Fixing the symptom without understanding the cause
- Jumping to the most obvious hypothesis without testing it
- Changing multiple things at once (can't isolate what fixed it)
- Accepting "it works now" without understanding why
- Not recording what was eliminated
## Evidence requirements
- Reproduction steps
- Hypotheses with evidence for/against
- Root cause statement with confidence level
- Eliminated alternatives with reasoning
## Exit criteria
- Root cause identified with evidence
- Alternative hypotheses eliminated with reasoning
- Confidence level stated (high/medium/low)
- Report handed off to appropriate agent for resolution