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LiQun Context Manager: Claude skill | implexa

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clawhubby @jaxint

LiQun Context Manager

管理对话上下文和记忆提取。根据关键词高效检索历史记忆。

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SkillRank score ↗

2.3/ 10

evaluated by implexa, claude-haiku-4-5 · 2026-05-29

liqun-context-manager provides memory search and session state management via keyword retrieval, but lacks operational detail and real-world scenario coverage.

structure

1.0

trigger phrases

2.0

procedure

2.0

edge cases

1.0

documentation

2.0

strengths

SKILL.md

---
name: context-manager
description: 管理对话上下文和记忆提取。根据关键词高效检索历史记忆。
---

# Context Manager Skill

## 功能
- 搜索记忆文件
- 提取相关上下文
- 管理会话状态

## 使用方法
```python
from context_manager import search_memory, get_recent

# 搜索记忆
results = search_memory('关键词')

# 获取最近记忆
recent = get_recent(5)
```

related skills

semantically similar in the cross-vendor index

Context Continuity

上下文续接与记忆管理。当用户说"新建对话"、"继续"、"接着上次"等时，自动从 MEMORY.md 和 memory/ 文件中提取当前任务/项目上下文，让新会话能够了解之前的进展。用于：(1) 用户要开始新对话但想保留上下文 (2) 用户说"继续上次的工作" (3) 用户想要回顾当前进行中的任务特点：自动记...

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implexa · Agents that run your business, free on the Claude or Codex plan you already pay for

Agents Why Implexa Pricing Resources Skill rankings Install Developers GitHub llms.txt X / Twitter Privacy

+identifies core functions (search, retrieval, state management) without overcomplication

+includes minimal code example showing api shape

weaknesses

~no intent definition, inputs specification, decision points, output contract, or outcome signal - missing all structural scaffolding
~trigger phrases are absent; no guidance on when or how to invoke the skill in conversation
~procedure is pseudo-code only, no step-by-step execution flow with error handling, memory bounds, or relevance scoring logic
~zero edge case handling - no discussion of missing memories, keyword ambiguity, context window limits, or retrieval failures
~written in chinese with minimal english; appears machine-translated or auto-generated without coherent narrative

精准检索历史记忆，调取某天、某项目、某条对话记录。支持按日期、按关键词、按类型检索。用于用户说查找、找回、某天、某次、之前说过等场景。

Three Tier Memory

三级记忆管理系统 (Three-Tier Memory)。短期记忆滑动窗口 + 中期记忆自动摘要(LLM) + 长期记忆向量检索(RAG)。当需要管理对话历史、自动摘要、语义检索、构建个人知识库时使用此 Skill。

by @forvendettaw

Memory On Demand

按需记忆检索。当用户询问历史相关问题时，自动搜索 memory 和 QMD 获取相关信息。

smart-memory-manager

Intelligent memory management for agents with short/long-term memory layering, semantic search, auto summarization, RAG enhancement