cache-inspector

分类: 运维与交付 | 上传者: escapeboy | 下载: 0 | 版本: v1.0（最新）
监控和优化即时缓存性能 - 分析命中率、成本节省并获取建议
更新日志: Source: GitHub https://github.com/escapeboy/ai-prompts
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当前层级: tree/master/01-global-optimization/skills/cache-inspector/
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SKILL.md

---
name: cache-inspector
description: Monitor and optimize prompt cache performance — analyze hit rates, cost savings, and get recommendations
version: 1.0.0
---

# /cache-inspector — Prompt Cache Monitor

Inspects the Claude prompt caching system to report hit rates, cost savings, and optimization opportunities. Prompt caching saves 90% on re-reads of large content (system prompts, memories, tool definitions).

---

## Usage

```
/cache-inspector [action]
```

### Quick Examples

```
/cache-inspector             # Show current status (default)
/cache-inspector status      # Detailed cache status
/cache-inspector analyze     # Performance analysis with trends
/cache-inspector optimize    # Get actionable recommendations
/cache-inspector report      # Full report (save to file)
/cache-inspector clear       # Clear cache (for testing only)
```

---

## Actions

### `status` (default) — Current cache status

Shows the current state of the prompt cache.

```
/cache-inspector status
```

**Output**:
```
## Prompt Cache Status

### Active Cache Entries
| Content | Size | Status | TTL |
|---------|------|--------|-----|
| System prompt (global-optimization.md) | 3.2K tokens | CACHED ✅ | 58 min |
| Tool definitions (Serena MCP) | 8.4K tokens | CACHED ✅ | 55 min |
| memory: architecture.md | 2.1K tokens | CACHED ✅ | 52 min |
| memory: codebase-conventions.md | 1.8K tokens | CACHED ✅ | 52 min |
| memory: testing-strategy.md | 1.2K tokens | WARMING 🟡 | — |

### Session Stats
Cache hits: 47 / 54 reads (87%)
Tokens saved this session: 412K
Estimated cost saved: $1.24

### Cache Health: ✅ Excellent
```

---

### `analyze` — Performance analysis

Deep analysis of cache performance with trends and comparison to baselines.

```
/cache-inspector analyze
```

**Output**:
```
## Cache Performance Analysis

### Hit Rate Trend
Session 1: 45% (warming)
Session 2: 71% (good)
Session 3: 87% (excellent) ← current
Target: >80% ✅

### Cost Impact
Without caching (estimated): $3.82
With caching (actual): $0.58
Savings: $3.24 (85%)

### Most Cached Content
1. Tool definitions (Serena): 8.4K — 12 reads, 11 cache hits (92%)
2. System prompt: 3.2K — 8 reads, 8 cache hits (100%)
3. architecture.md: 2.1K — 15 reads, 13 cache hits (87%)

### Optimization Opportunities
⚠️ testing-strategy.md: loaded 4 times but never cached (too small at 800 tokens)
   → Recommend expanding to >1024 tokens or combining with codebase-conventions.md

⚠️ 3 file reads bypassed caching (used Read tool directly)
   → Use /context load at session start to ensure memories are pre-cached
```

---

### `optimize` — Get actionable recommendations

Analyzes current usage and provides specific recommendations to improve cache hit rate.

```
/cache-inspector optimize
```

**Output**:
```
## Cache Optimization Recommendations

### Priority 1: Pre-warm Cache at Session Start
Current: Cache warms gradually (first 3-4 messages cost full tokens)
Fix: Always run /context load before starting work

Expected improvement: +15% hit rate, -30K tokens per session

### Priority 2: Expand Small Memories
testing-strategy.md (800 tokens) is below the 1024-token cache threshold
Fix: Add more detail or merge with codebase-conventions.md

Expected improvement: +8% hit rate on test-related tasks

### Priority 3: Cache Constitution File
.claude/settings/constitution.json is read 6 times without caching
Fix: Move architectural rules to a memory file via /context save constitution

Expected improvement: +5% hit rate on all tasks

### Current Score: 72/100
After applying recommendations: 89/100 (estimated)
```

---

### `report` — Full detailed report

Generates a complete cache performance report and saves it to `.claude/learnings/cache-performance.md`.

```
/cache-inspector report
/cache-inspector report --save    # Also saves to file
```

The report includes:
- Session-by-session hit rate history
- Cost breakdown (cached vs uncached reads)
- Content inventory with sizes
- TTL expiry timeline
- Optimization score
- All recommendations

---

### `clear` — Clear cache entries

**Warning**: Clears all cached content. Only use for testing or when cache is stale.

```
/cache-inspector clear
```

Claude will ask for confirmation before clearing. After clearing, the next session will re-warm the cache (costs full tokens once).

---

## How Prompt Caching Works

Claude's prompt caching (Anthropic API feature) stores frequently-read content server-side for 10 minutes (ephemeral) or 1 hour (with explicit cache control).

**What gets cached**:
| Content | Size | Cache benefit |
|---------|------|---------------|
| System prompts | 2-5K tokens | 90% cost reduction on re-reads |
| MCP tool definitions | 5-15K tokens | 90% cost reduction |
| Serena memories | 1-3K each | 90% cost reduction |
| Constitution files | 0.5-2K | 90% cost reduction |
| Large spec documents | 5-20K | 90% cost reduction during impl |

**Minimum size**: Content must be ≥1024 tokens to be eligible for caching.

**Cache TTL**: Ephemeral cache lasts 10 minutes; with `cache_control: {type: "ephemeral"}` it lasts up to 60 minutes.

---

## Cache Configuration

The cache is configured in `~/.claude/settings/prompt-caching.json`. Key settings:

```json
{
  "cache_control": {
    "type": "ephemeral",
    "auto_enable": true
  },
  "caching_rules": {
    "system_prompts": { "enabled": true, "min_tokens": 1024 },
    "tool_definitions": { "enabled": true, "min_tokens": 1024 },
    "memories": { "enabled": true, "min_tokens": 1024 }
  }
}
```

To modify: edit `~/.claude/settings/prompt-caching.json` and reload Claude Code.

---

## Target Metrics

| Metric | Poor | Good | Excellent |
|--------|------|------|-----------|
| Cache hit rate | <50% | 60-80% | >80% |
| Token savings | <30% | 50-70% | >80% |
| Session cost | >$3 | $0.75-$1.50 | <$0.75 |
| Warmup time | >5 messages | 2-4 messages | 1-2 messages |

---

## Troubleshooting

### "Cache hit rate is low (<50%)"

Common causes:
1. **Not loading memories first** — run `/context load` before starting work
2. **Sessions too short** — cache needs 2-3 messages to warm up
3. **Content below threshold** — memories under 1024 tokens won't cache
4. **Different content each time** — variable prompts can't be cached

Run `/cache-inspector optimize` for specific recommendations.

### "Cache entries expire quickly"

Cache TTL is 10-60 minutes. For long sessions:
- Keep the conversation active (don't idle for >10 min)
- Re-run `/context load` if you've been away

### "No cache data available"

Cache metrics are only available when Serena MCP is connected and prompt-caching.json is configured. Run `/optimize status` to check configuration.

---

## See Also

- [`/context`](../context/SKILL.md) — Load memories to maximize cache hits
- [`/optimize`](../optimize/SKILL.md) — Full optimization mode
- [Token Optimization Guide](../../../05-token-optimization/guide.md)
- [Prompt Caching Config](../../settings/prompt-caching.json)
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