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