The Agent Skills Directory
npx skills add https://smithery.ai/skills/nnnsightnnn/bloat-manager通过实施软限制、建议合并和管理归档来防止系统工件无限制增长。此技能在不阻碍生产性工作的前提下维护系统健康。
此技能在以下情况下激活:
永不阻塞操作。始终警告和建议。
软限制旨在教育而非制造挫折。它们允许合理的例外情况,同时随着时间的推移建立意识。
HEALTHY → APPROACHING (80%) → EXCEEDED (100%) → CRITICAL (120%)
[No action] [Suggest review] [Recommend action] [Escalate priority]
| 工件 | 软限制 | 审查触发点 | 临界点 |
|---|---|---|---|
| CLAUDE.md | 400 行 | 450 行 | 500 行 |
| quick-reference.md | 100 行 | 120 行 | 150 行 |
| procedural-memory.md | 500 行 | 600 行 | 750 行 |
| episodic-memory.md | 200 行 | 250 行 | 300 行 |
| Individual SKILL.md | 300 行 | 350 行 | 400 行 |
| 类别 | 软限制 | 审查触发点 | 临界点 |
|---|---|---|---|
| 活跃技能 | 30 | 40 | 50 |
| 活跃痛点 | 50 | 65 | 80 |
| 错误历史条目 | 100 | 150 | 200 |
| quick-ref 中的模式 | 20 | 25 | 30 |
| 内容类型 | 活跃期 | 归档触发点 | 删除触发点 |
|---|---|---|---|
| 模式 | 滚动 6 个月 | 未使用 6 个月 | 永不 |
| 会话摘要 | 30 天 | 30 天后 | 1 年后 |
| 错误历史 | 30 天 | 90 天后 | 1 年后 |
| 已解决的痛点 | 30 天 | 30 天后 | 6 个月后 |
收集所有受监控工件的当前状态:
# 统计关键文件的行数
wc -l .claude/CLAUDE.md
wc -l .claude/memory/active/quick-reference.md
wc -l .claude/memory/active/procedural-memory.md
wc -l .claude/memory/active/episodic-memory.md
# 统计技能数量
find .claude/skills -name "SKILL.md" | wc -l
# 统计活跃痛点数量
grep -c "^### " .claude/pain-points/active-pain-points.md
# 统计错误历史条目数量
python3 -c "import json; print(len(json.load(open('.claude/pain-points/ai-error-history.json')).get('errors', {})))"
针对每个指标,确定状态:
以清晰格式呈现发现:
## 系统健康报告 - YYYY-MM-DD
### 摘要
- 总体状态:[健康/需要注意/需要行动]
- 接近限制的项目数:N
- 超出限制的项目数:N
### 详细指标
| 工件 | 当前值 | 限制 | 状态 |
|----------|---------|-------|--------|
| CLAUDE.md | 385 行 | 400 | 接近 (96%) |
| 技能 | 28 | 30 | 接近 (93%) |
| 痛点 | 42 | 50 | 健康 (84%) |
### 推荐操作
1. [针对超出项目的具体操作]
2. [针对接近项目的具体操作]
针对需要注意的项目:
对于 CLAUDE.md 臃肿:
.claude/specs/ 的部分对于技能臃肿:
对于内存臃肿:
对于痛点臃肿:
仅在用户批准后:
条件:每周检查日落在假日 处理:在下一个工作日运行检查,在报告中注明延迟
条件:多个工件超出临界阈值 处理:按影响优先级排序 - CLAUDE.md > 技能 > 内存 > 痛点
条件:项目是新的,大多数指标接近零 处理:跳过检查,注明“健康 - 早期阶段项目”
条件:归档目标不存在 处理:在移动文件前创建归档结构
触发器:每周一检查 响应:
## 系统健康报告 - 2026-01-13
### 摘要
总体状态:**健康**
所有工件均在健康限制内。无需操作。
| 工件 | 当前值 | 限制 | 状态 |
|----------|---------|-------|--------|
| CLAUDE.md | 285 行 | 400 | 健康 (71%) |
| 技能 | 12 | 30 | 健康 (40%) |
| 痛点 | 8 | 50 | 健康 (16%) |
| 错误历史 | 23 | 100 | 健康 (23%) |
下次计划检查:2026-01-20
触发器:用户说“检查臃肿” 响应:
## 系统健康报告 - 2026-01-16
### 摘要
总体状态:**需要行动**
2 个项目超出限制,1 个项目接近限制。
| 工件 | 当前值 | 限制 | 状态 |
|----------|---------|-------|--------|
| CLAUDE.md | 456 行 | 400 | **超出 (114%)** |
| 技能 | 35 | 30 | **超出 (117%)** |
| 痛点 | 45 | 50 | 接近 (90%) |
### 推荐操作
**1. CLAUDE.md 合并(优先级:高)**
- 将部署规范(第 180-250 行)移动到 `.claude/specs/deployment.md`
- 归档 2025 年的过时规则(第 312-340 行)
- 预计减少:约 100 行
**2. 技能合并(优先级:高)**
- 合并 `data-validator` 和 `input-checker`(用途相似)
- 归档 `legacy-formatter`(60 天内调用 0 次)
- 预计减少:5 个技能
**3. 痛点审查(优先级:中)**
- 审查超过 30 天的 12 个痛点
- 其中 5 个似乎已解决但未归档
我是否应该执行其中任何操作?
版本: 1.0.0 创建日期: 2026-01-16 类别: 系统维护 集成: 内存系统、痛点、技能指标 维护: 自我监控(每周运行)
每周安装次数
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来源
首次出现
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Prevent unbounded growth of system artifacts by implementing soft limits, suggesting consolidation, and managing archives. This skill maintains system health without blocking productive work.
This skill activates when:
Never block operations. Always warn and suggest.
Soft limits educate rather than frustrate. They allow justified exceptions while building awareness over time.
HEALTHY → APPROACHING (80%) → EXCEEDED (100%) → CRITICAL (120%)
[No action] [Suggest review] [Recommend action] [Escalate priority]
| Artifact | Soft Limit | Review Trigger | Critical |
|---|---|---|---|
| CLAUDE.md |
广告位招租
在这里展示您的产品或服务
触达数万 AI 开发者,精准高效
| 400 lines |
| 450 lines |
| 500 lines |
| quick-reference.md | 100 lines | 120 lines | 150 lines |
| procedural-memory.md | 500 lines | 600 lines | 750 lines |
| episodic-memory.md | 200 lines | 250 lines | 300 lines |
| Individual SKILL.md | 300 lines | 350 lines | 400 lines |
| Category | Soft Limit | Review Trigger | Critical |
|---|---|---|---|
| Active skills | 30 | 40 | 50 |
| Active pain points | 50 | 65 | 80 |
| Error history entries | 100 | 150 | 200 |
| Patterns in quick-ref | 20 | 25 | 30 |
| Content Type | Active Period | Archive Trigger | Delete Trigger |
|---|---|---|---|
| Patterns | Rolling 6 months | Unused 6 months | Never |
| Session summaries | 30 days | After 30 days | After 1 year |
| Error history | 30 days | After 90 days | After 1 year |
| Resolved pain points | 30 days | After 30 days | After 6 months |
Collect current state of all monitored artifacts:
# Count lines in key files
wc -l .claude/CLAUDE.md
wc -l .claude/memory/active/quick-reference.md
wc -l .claude/memory/active/procedural-memory.md
wc -l .claude/memory/active/episodic-memory.md
# Count skills
find .claude/skills -name "SKILL.md" | wc -l
# Count active pain points
grep -c "^### " .claude/pain-points/active-pain-points.md
# Count error history entries
python3 -c "import json; print(len(json.load(open('.claude/pain-points/ai-error-history.json')).get('errors', {})))"
For each metric, determine status:
Present findings in clear format:
## System Health Report - YYYY-MM-DD
### Summary
- Overall Status: [Healthy/Needs Attention/Action Required]
- Items Approaching Limits: N
- Items Exceeding Limits: N
### Detailed Metrics
| Artifact | Current | Limit | Status |
|----------|---------|-------|--------|
| CLAUDE.md | 385 lines | 400 | Approaching (96%) |
| Skills | 28 | 30 | Approaching (93%) |
| Pain Points | 42 | 50 | Healthy (84%) |
### Recommended Actions
1. [Specific action for exceeded items]
2. [Specific action for approaching items]
For items needing attention:
For CLAUDE.md bloat:
.claude/specs/For skill bloat:
For memory bloat:
For pain point bloat:
Only after user approval:
Condition : Weekly check lands on a holiday Handling : Run check on next working day, note delay in report
Condition : Several artifacts exceed critical thresholds Handling : Prioritize by impact - CLAUDE.md > skills > memory > pain points
Condition : Project is new, most metrics near zero Handling : Skip check, note "healthy - early stage project"
Condition : Archive target doesn't exist Handling : Create archive structure before moving files
Trigger : Weekly Monday check Response :
## System Health Report - 2026-01-13
### Summary
Overall Status: **Healthy**
All artifacts are within healthy limits. No action required.
| Artifact | Current | Limit | Status |
|----------|---------|-------|--------|
| CLAUDE.md | 285 lines | 400 | Healthy (71%) |
| Skills | 12 | 30 | Healthy (40%) |
| Pain Points | 8 | 50 | Healthy (16%) |
| Error History | 23 | 100 | Healthy (23%) |
Next scheduled check: 2026-01-20
Trigger : User says "check for bloat" Response :
## System Health Report - 2026-01-16
### Summary
Overall Status: **Action Required**
2 items exceeding limits, 1 approaching.
| Artifact | Current | Limit | Status |
|----------|---------|-------|--------|
| CLAUDE.md | 456 lines | 400 | **Exceeded (114%)** |
| Skills | 35 | 30 | **Exceeded (117%)** |
| Pain Points | 45 | 50 | Approaching (90%) |
### Recommended Actions
**1. CLAUDE.md Consolidation (Priority: High)**
- Move deployment specifications (lines 180-250) to `.claude/specs/deployment.md`
- Archive deprecated rules from 2025 (lines 312-340)
- Expected reduction: ~100 lines
**2. Skill Consolidation (Priority: High)**
- Merge `data-validator` and `input-checker` (similar purpose)
- Archive `legacy-formatter` (0 invocations in 60 days)
- Expected reduction: 5 skills
**3. Pain Point Review (Priority: Medium)**
- Review 12 pain points older than 30 days
- 5 appear resolved but not archived
Shall I proceed with any of these actions?
Version: 1.0.0 Created: 2026-01-16 Category: System Maintenance Integration: Memory System, Pain Points, Skill Metrics Maintenance: Self-monitoring (runs weekly)
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