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Multi-conversation methodology for iterative stateful work with context accumulation. Use when users request work that spans multiple sessions (research, debugging, refactoring, feature development), need to build on past progress, explicitly mention iterative work, work logs, project knowledge, or cross-conversation learning.

Use this Skill: https://skilld.dev/gh/oaustegard/claude-skills/iterating

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referencesadvanced-patterns.md

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Advanced Patterns for Iterative Work

Advanced multi-session patterns beyond basic WorkLog usage.

Feature Status Tracking

For complex features spanning 5+ sessions:

### Feature: User Authentication
**Progress:** 60% | Started: 2025-11-05 | Target: 2025-11-15

**Done:** ✅ User model, JWT service, Login endpoint, Middleware
**Active:** 🔄 Password reset (50%) - Blocker: email provider decision pending
**Backlog:** ⏳ Account lockout, 2FA integration, UI polish

Hypothesis-Driven Debugging

Track hypotheses to avoid repeating failed approaches:

### Bug: Memory leak (200MB→2GB over 2h)

**Hypotheses:**
H1: Large objects retained | Refuted | Heap snapshot clean (v2)
H2: Event listeners leak | ✅ Confirmed | 10k+ listeners, fixed with removeAllListeners() (v3)
H3: Circular references | Invalidated | H2 was root cause

**Tried:** Heap snapshots, profiling, minimal reproduction test case
**Dead ends:** GC tuning (no effect), object pool optimization (wrong direction)

**Solution:** src/events/emitter.ts:89-110 - Added cleanup on component unmount

Architecture Evolution

Track decision evolution across versions:

### Caching Strategy Evolution

**v1-v3:** In-memory LRU, 1000 items
- Issue: 45% hit rate, too small for production load
- Decision: Need distributed cache

**v4-v6:** Redis 2h TTL for all data
- Issue: 85% hit rate BUT stale data causing user complaints
- Decision: Differentiate by data type

**v7+:** Redis tiered TTL (5m/1h/24h by data type)
- Result: 90% hit rate, fresh data ✅
- Lesson: Access patterns > cache size; different data needs different TTL

Implementation Patterns

Incremental:

  • v1: Core happy path
  • v2: Error handling
  • v3: Tests and validation
  • v4: Performance optimization

Spike-and-Implement:

  • v1: Quick spike (1-2h, throwaway code) - validates approach
  • v2: Production implementation - follows best practices
  • v3: Polish and edge cases

Research-and-Apply:

  • v1: Research phase (docs/articles, create decision document)
  • v2: Implement following best practices discovered
  • v3: Refine based on real usage

Cross-Session Analysis

Pattern Recognition:

  • Auth bugs cluster on Fridays (v5, v7, v9, v12)
  • Root cause: Thursday deployments → insufficient pre-deploy testing
  • Solution: Added comprehensive auth test suite (v13)
  • Result: 90% reduction in Friday incidents

Detecting Contradictions:

  • Cache hit rate 85% (v3) vs 60% (v7) - what changed?
  • Investigation: User base 3x larger → access patterns shifted
  • Solution: Dynamic TTL based on access frequency (v8)

Trend Tracking:

  • API latency: 200ms (v1) → 180ms (v3, caching) → 250ms (v5, features) → 150ms (v7, optimized)
  • Insight: Proactive optimization > reactive firefighting

Handoff Pattern Examples

Research → Implementation Handoff

v1 (Chat - Research):

**Status:** needs_review
**Progress:** Research complete ✅ | Implementation pending ⏳

**Decisions:**
- PostgreSQL over MongoDB: ACID guarantees needed for financial transactions
- Row-level security: Multi-tenancy isolation at database level

**Next:**
- [HIGH] Create database schema with RLS policies
- [HIGH] Implement authentication layer
- [MED] Setup migration scripts

v2 (Code - Implementation):

**Status:** in_progress  
**Progress:** 40% | Schema ✅ | Auth layer 70% 🔄 | Migrations pending ⏳

**Files:**
- `prisma/schema.prisma` (Database schema with RLS)
  - L45-89: User and Tenant models with relationships
- `src/auth/rls.ts` (Row-level security policies, partial)
  - L23-56: Tenant isolation logic (needs testing)

**Next:**
- [HIGH] Complete RLS policies and test isolation
- [HIGH] Add migration generation scripts

Parallel Workstreams

When multiple features in progress, use separate Work Logs:

Auth-Refactor-WorkLog-v5.md       (Auth team, 70% complete)
Payment-Integration-WorkLog-v3.md (Payments team, 50% complete)
UI-Redesign-WorkLog-v2.md         (Frontend team, 30% complete)

Cross-references in Work Logs:

**Dependencies:**
- Payment integration depends on Auth-Refactor-WorkLog-v5
- Need: OAuth flow must be complete before Stripe checkout
- Status: Auth v5 shows OAuth ready ✅

Long-Running Project Template (10+ sessions)

# E-commerce Backend Work Log

**Status:** in_progress
**Progress:** Phase 2/3 - 60% overall | Started: Oct 1 | Target: Dec 1

## Components Status

**Phase 1: Foundation** (v1-v8) ✅ Completed Oct 15
- Auth system (src/auth/*) ✅
- Database schema (prisma/*) ✅
- API framework (src/api/*) ✅

**Phase 2: Features** (v9-v16) 🔄 Current - 60% complete
- Product catalog (75% complete)
  - Search implemented ✅
  - Inventory tracking 🔄 (v14 in progress)
- Shopping cart (50% complete)
  - Cart operations ✅
  - Persistence pending ⏳
- Payment processing (planned for v17-20)

**Phase 3: Scale** (v21+) ⏳ Planned
- Caching layer (Redis)
- Read replicas
- Rate limiting

## Performance Targets

- API Response: <200ms (current: 150ms ✅)
- Page Load: <2s (current: 1.8s ✅)
- Search: <100ms (current: 85ms ✅)

## Key Decisions Log

- v1: PostgreSQL for ACID guarantees
- v2: JWT for stateless auth (vs sessions)
- v5: Redis for session storage (performance)
- v11: Stripe for payments (vs in-house)
- v13: Elasticsearch for search (>10k products)

## Current Blockers

- v14: Inventory sync needs warehouse API credentials (ETA: Nov 20)

## Lessons Learned

- Integration tests first → caught issues early
- API contracts upfront → prevented breaking changes
- Performance budget from day one → stayed within targets

Tips for long projects:

  • Summarize progress every 5 versions
  • Log all major decisions with version number
  • Track blockers with ETAs
  • Update architecture diagram as it evolves
  • Celebrate milestone completions

Blocked → Unblocked Pattern

## v5 | 2025-11-10 14:00 | Payment Integration [BLOCKED]

**Blockers:** Missing production Stripe API keys
- Owner: @ops-team
- Requested: 2025-11-10 10:00
- ETA: 24 hours
- Workaround: Continuing with test keys in staging

**Next:**
- [HIGH] [BLOCKED] Configure production Stripe webhook
- [MED] Complete payment flow tests (can proceed with staging)
- [LOW] Add payment analytics

Then later:

## v6 | 2025-11-11 09:00 | Payment Integration Unblocked

**Prev:** v5 blocked on Stripe keys
**Now:** Keys received, configuring production

**Progress:** 80% → 90% | Unblocked ✅

**Blocker Resolution:**
- Stripe production keys received from @ops-team
- Configured in environment variables
- Webhook endpoint verified

**Next:**
- [HIGH] Deploy to production and test end-to-end
- [MED] Monitor first real transactions
- [LOW] Add payment analytics dashboard

Review Cycle Pattern

## v8 | 2025-11-12 16:00 | Feature Complete [NEEDS_REVIEW]

**Status:** needs_review
**Progress:** 100% implementation | Testing complete ✅ | Review pending ⏳

**Review Checklist:**
- [ ] Code quality and style
- [ ] Test coverage (current: 85%)
- [ ] Performance benchmarks
- [ ] Security review
- [ ] Documentation complete

**Reviewer Notes:**
@tech-lead: Please focus on:
- Error handling in src/payments/stripe.ts:145-180
- Race condition prevention in webhook handler
- Token optimization strategy

**Next:**
- [HIGH] Address review feedback
- [MED] Update documentation based on review

Then after review:

## v9 | 2025-11-13 10:00 | Review Applied

**Prev:** v8 needs_review → feedback received
**Status:** in_progress (applying feedback)

**Review Feedback Applied:**
- ✅ Enhanced error handling in stripe.ts:145-180
- ✅ Added mutex lock for webhook race condition
- ✅ Optimized token refresh strategy
- 🔄 Documentation updates in progress

**Next:**
- [HIGH] Complete documentation updates
- [HIGH] Re-test after changes
- [MED] Request final approval

Token Budget Management

When approaching token limits:

**Progress:** Phase 2 - 60% | ⚠️ Token budget: 40% remaining

**Completed This Session:**
- ✅ Payment webhook handler (HIGH priority)
- ✅ Error recovery logic (HIGH priority)

**Deferred to Next Session:**
- ⏳ Payment analytics (LOW priority)
- ⏳ Admin dashboard (LOW priority)
- ⏳ Email notifications (MED priority)

**Next Session Priority:**
- [HIGH] Complete MED priority: Email notifications
- [HIGH] Deploy to staging for testing
- [MED] Then tackle LOW priority items if budget allows

Why this matters: User may run out of tokens mid-session. Progress tracking + priority system ensures HIGH items completed first.

Source: SKILL.md on GitHub

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  • Gen Agent Trust Hub4mo

    The skill establishes a robust methodology for stateful, iterative work using 'Work Logs' to maintain context across multiple sessions. While functionally safe and containing no malicious code, the skill's reliance on reading and executing 'HIGH priority' tasks from external, potentially user-controlled files creates a surface for indirect prompt injection.

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    Risk: LOW · No issues

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Activeupdated 3 weeks ago
metadata
{
  "version": "1.2.0"
}

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