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Agent Skill · 研究检索

context-retrospective(背景回顾)

context-retrospective 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

context-retrospective 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证为 MIT,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 17,213。

总安装 6,732周安装 275GitHub Stars 69下载 2,178核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:context-retrospective(背景回顾)
来源仓库:https://github.com/jwynia/agent-skills
仓库路径:skills/context-retrospective
安装命令:
npx skills add https://github.com/jwynia/agent-skills --skill context-retrospective
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/jwynia/agent-skills --skill context-retrospective

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

context-retrospective 分析 Agent 与用户交互记录,识别上下文网络维护需求和指引改进点。从每次互动中提取知识缺口、导航问题和指导缺陷,形成系统性优化建议。覆盖知识缺口、重复查询、信息过载和决策断层等关键维度。安装前建议确认转录数据访问权限和分析脚本运行环境。

适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/context-retrospective

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/jwynia/agent-skills --skill context-retrospect…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

context-retrospective 怎么安装?

在终端执行 npx skills add https://github.com/jwynia/agent-skills --skill context-retrospective。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

context-retrospective 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

context-retrospective 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

context-retrospective 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

context-retrospective 用的人多吗?

公开数据是累计安装 6,732 次,近一周安装 275 次,下载 2,178 次,GitHub 69 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

context-retrospective 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
context-retrospective

背景回顾 · 本页

6,73269需要联网MIT通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Context Network Retrospective

Purpose

Analyze agent-user interaction transcripts to identify context network maintenance needs and guidance improvements. Extract actionable insights for enhancing both network structure and agent instructions.

Core Principle

Learn from every interaction. Each transcript reveals gaps in context, navigation issues, and guidance problems that can be systematically fixed.


Analysis Dimensions

1. Knowledge Gap Identification

Look For:

  • Questions agent couldn't answer from existing context
  • Information discovered during task that should be pre-documented
  • Repeated lookups of same information
  • Agent confusion about structure, relationships, dependencies

Questions:

  • What foundational knowledge was missing?
  • Which relationships weren't documented?
  • What context about history, decisions, or constraints was absent?
  • Which domain boundaries were unclear?

Output: Missing information nodes and relationship gaps


2. Context Boundary Violations

Look For:

  • Planning documents created outside context network
  • Implementation files placed in context areas
  • Agent uncertainty about where to place information
  • Mixed concerns within single documents

Questions:

  • Did agent distinguish context from project artifacts?
  • Were "planning stays in context network" rules followed?
  • What guidance would prevent future confusion?

Output: Boundary violations and guidance improvements needed


3. Navigation and Discovery Patterns

Look For:

  • How agent found (or failed to find) information
  • Sequences of information access
  • Dead ends or inefficient paths
  • Information that should have been connected

Questions:

  • What navigation paths did agent follow?
  • Which information should be more discoverable?
  • What logical connections were missing?
  • What hub documents would improve efficiency?

Output: Navigation improvements and missing connections


4. Task-Context Alignment

Look For:

  • Mismatches between task needs and available context
  • Information at wrong abstraction levels
  • Context too detailed or too high-level
  • Task patterns revealing organizational weaknesses

Questions:

  • Was information at appropriate abstraction for the task?
  • Did context support decision-making needs?
  • Were there cognitive load issues from organization?
  • What restructuring would support this task type?

Output: Abstraction adjustments and reorganization needs


5. Relationship Mapping Deficiencies

Look For:

  • Agent difficulty understanding dependencies
  • Missing context about how changes affect other areas
  • Lack of clear interface definitions
  • Implicit relationships that should be explicit

Questions:

  • What relationships were implied but not documented?
  • Which dependencies were discovered during task?
  • What impact relationships were unclear?
  • Where would explicit documentation have helped?

Output: Missing relationships and documentation needs


6. Guidance Effectiveness

Look For:

  • Agent behavior suggesting unclear guidance
  • Task approaches deviating from optimal patterns
  • Mode switching decisions and appropriateness
  • Tool usage relative to restrictions

Questions:

  • Did agent follow mode-appropriate patterns?
  • Were mode transitions handled effectively?
  • What guidance was missing or unclear?
  • Did restrictions support the purpose?

Output: Guidance refinements and rule clarifications


Retrospective Process

Phase 1: Preparation

  1. Context Gathering

- Load current context network state - Identify agent mode(s) used - Note task type and complexity - Review applicable rules

  1. Baseline

- Map context available at task start - Identify active guidance - Note recent network changes - Document expected vs. actual behavior

Phase 2: Transcript Review

  1. Chronological Analysis

- Track information seeking patterns - Note decision points where context influenced choices - Identify struggle points - Map actual navigation paths

  1. Critical Incidents

- Flag confusion or inefficiency - Identify boundary violations - Note "rediscovery" of information - Mark where better context would have helped

  1. Pattern Recognition

- Recurring information needs - Systematic gaps in knowledge areas - Consistent navigation difficulties - Successful context utilization

Phase 3: Gap Analysis

  1. Information Architecture

- Map knowledge coverage gaps - Evaluate abstraction appropriateness - Assess relationship completeness - Review navigation effectiveness

  1. Guidance System

- Analyze mode-specific guidance - Review boundary rule clarity - Evaluate instruction completeness - Assess prompt override needs

  1. Prioritization

- Critical: Caused task failure or significant inefficiency - High: Required real-time discovery - Medium: Would enhance efficiency - Low: Nice-to-have improvements


Analysis Templates

Knowledge Gap

## Gap: [Name]

**Discovery Context:** [When/how revealed]
**Task Impact:** [How it affected completion]
**Information Type:** [Domain/Process/Relationship/Decision criteria]
**Recommended Action:** [Specific node or relationship to add]
**Priority:** [Critical/High/Medium/Low]
**Related Gaps:** [Connected gaps]

Navigation Issue

## Issue: [Name]

**Problem Pattern:** [What difficulty occurred]
**Information Sought:** [What agent wanted]
**Current Path:** [How agent actually found it]
**Optimal Path:** [How it should be discoverable]
**Recommended Improvement:** [Specific changes]
**Affected Tasks:** [What else would benefit]

Guidance Assessment

## Guidance: [Mode/Rule Area]

**Expected Behavior:** [What guidance should produce]
**Actual Behavior:** [What agent did]
**Deviation Analysis:** [Why different]
**Guidance Clarity:** [Current clarity level]
**Recommended Changes:** [Specific modifications]
**Test Scenarios:** [How to validate]

Quality Metrics

Completeness

  • Information Coverage: % of questions answerable from context
  • Relationship Completeness: Documented vs. discovered relationships
  • Navigation Efficiency: Steps vs. optimal paths
  • Boundary Compliance: % correct domain placements

Effectiveness

  • Task Completion Quality: Success rate with available context
  • Agent Confidence: Frequency of uncertainty expressions
  • Context Utilization: % of relevant context actually used
  • Discovery vs. Lookup: New discoveries vs. existing use

Evolution

  • Context Network Growth: New nodes/relationships rate
  • Guidance Refinement: Rule update frequency
  • Pattern Recognition: Recurring improvement themes
  • System Maturity: Decreasing structural changes

Common Patterns & Solutions

PatternSolution
Repeatedly seeks same infoCreate hub document, improve linking
Confusion about file placementEnhance boundary guidance with examples
Task context scatteredCreate task-specific entry points
Decisions without consulting contextStrengthen "consult before action" guidance
Info not at right abstractionMulti-layered nodes with progressive disclosure

Implementation Priority

Phase 1: Critical Infrastructure

  • Fix boundary violations
  • Add missing foundational knowledge
  • Repair broken relationships

Phase 2: Navigation Enhancement

  • Improve discoverability
  • Create hub documents
  • Strengthen cross-domain connections

Phase 3: Guidance Refinement

  • Update mode-specific instructions
  • Clarify ambiguous rules
  • Enhance prompts for common tasks

Phase 4: Optimization

  • Fine-tune abstraction levels
  • Optimize for discovered workflows
  • Enhance metadata systems

Anti-Patterns

1. The Blame Game

Pattern: Attributing interaction failures to agent capability rather than context gaps. "The agent should have known..." Why it fails: Agents operate from context. If context is incomplete, even capable agents fail. Blaming agents prevents systemic improvement. Fix: Assume context gaps first. Ask "what information would have prevented this?" before "why didn't the agent figure it out?"

2. The Completeness Illusion

Pattern: Believing context networks can capture everything. Adding more and more information hoping to prevent all failures. Why it fails: Context networks grow without bound. Navigation becomes impossible. Signal-to-noise ratio degrades. Maintenance becomes unsustainable. Fix: Focus on high-impact gaps. Prioritize what actually caused failures. Remove outdated information as aggressively as you add new.

3. The Surface Fix

Pattern: Fixing the specific issue without identifying the pattern. Adding a fact that was missing without asking why it was missing. Why it fails: Treats symptoms, not causes. The same class of gap will appear elsewhere. Whack-a-mole maintenance. Fix: Classify gaps by type. If the gap is "missing relationship documentation," the fix is improving relationship capture, not adding one relationship.

4. The Retrospective-Only

Pattern: Running retrospectives but never implementing changes. Analysis paralysis or action avoidance. Why it fails: Insight without action produces no improvement. Accumulating analysis without implementation wastes the analysis effort. Fix: Every retrospective must produce at least one actionable change. Schedule implementation before finishing retrospective.

5. The Guidance Overdose

Pattern: Adding more rules and restrictions after every failure. Context networks become constraint lists. Why it fails: Excessive guidance produces paralysis. Agents become afraid to act. Guidance conflicts emerge. Nobody reads the rules. Fix: Before adding guidance, consider removing it. Simplify before complexifying. Test if clearer boundaries achieve more than more rules.

Integration Points

Inbound:

  • After any significant agent interaction
  • After task failures or inefficiencies
  • During context network maintenance

Outbound:

  • To context network updates
  • To guidance/instruction improvements

Complementary:

  • Context Networks framework
  • Agent mode configurations

平台分布

Claude Code

30.97%
按下载量换算675

OpenCode

22.79%
按下载量换算496

Gemini CLI

16.02%
按下载量换算349

Antigravity

13.99%
按下载量换算305

Codex

7.26%
按下载量换算158

Cursor

3.64%
按下载量换算79

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。

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