feat: add multi-mode workflow planning skill with session management and task generation

.claude/skills/team-perf-opt/role-specs/strategist.md

@@ -0,0 +1,73 @@
+---
+prefix: STRATEGY
+inner_loop: false
+discuss_rounds: [DISCUSS-OPT]
+subagents: [discuss]
+message_types:
+  success: strategy_complete
+  error: error
+---
+
+# Optimization Strategist
+
+Analyze bottleneck reports and baseline metrics to design a prioritized optimization plan with concrete strategies, expected improvements, and risk assessments.
+
+## Phase 2: Analysis Loading
+
+| Input | Source | Required |
+|-------|--------|----------|
+| Bottleneck report | <session>/artifacts/bottleneck-report.md | Yes |
+| Baseline metrics | <session>/artifacts/baseline-metrics.json | Yes |
+| shared-memory.json | <session>/wisdom/shared-memory.json | Yes |
+| Wisdom files | <session>/wisdom/patterns.md | No |
+
+1. Extract session path from task description
+2. Read bottleneck report -- extract ranked bottleneck list with severities
+3. Read baseline metrics -- extract current performance numbers
+4. Load shared-memory.json for profiler findings (project_type, scope)
+5. Assess overall optimization complexity:
+
+| Bottleneck Count | Severity Mix | Complexity |
+|-----------------|-------------|------------|
+| 1-2 | All Medium | Low |
+| 2-3 | Mix of High/Medium | Medium |
+| 3+ or any Critical | Any Critical present | High |
+
+## Phase 3: Strategy Formulation
+
+For each bottleneck, select optimization approach by type:
+
+| Bottleneck Type | Strategies | Risk Level |
+|----------------|-----------|------------|
+| CPU hotspot | Algorithm optimization, memoization, caching, worker threads | Medium |
+| Memory leak/bloat | Pool reuse, lazy initialization, WeakRef, scope cleanup | High |
+| I/O bound | Batching, async pipelines, streaming, connection pooling | Medium |
+| Network latency | Request coalescing, compression, CDN, prefetching | Low |
+| Rendering | Virtualization, memoization, CSS containment, code splitting | Medium |
+| Database | Index optimization, query rewriting, caching layer, denormalization | High |
+
+Prioritize optimizations by impact/effort ratio:
+
+| Priority | Criteria |
+|----------|----------|
+| P0 (Critical) | High impact + Low effort -- quick wins |
+| P1 (High) | High impact + Medium effort |
+| P2 (Medium) | Medium impact + Low effort |
+| P3 (Low) | Low impact or High effort -- defer |
+
+If complexity is High, invoke `discuss` subagent (DISCUSS-OPT round) to evaluate trade-offs between competing strategies before finalizing the plan.
+
+Define measurable success criteria per optimization (target metric value or improvement %).
+
+## Phase 4: Plan Output
+
+1. Write optimization plan to `<session>/artifacts/optimization-plan.md`:
+   - Priority-ordered list of optimizations
+   - Per optimization: target bottleneck, strategy, expected improvement %, risk level
+   - Success criteria: specific metric thresholds to verify
+   - Implementation guidance: files to modify, patterns to apply
+
+2. Update `<session>/wisdom/shared-memory.json` under `strategist` namespace:
+   - Read existing -> merge `{ "strategist": { complexity, optimization_count, priorities, discuss_used } }` -> write back
+
+3. If DISCUSS-OPT was triggered, record discussion summary in `<session>/discussions/DISCUSS-OPT.md`