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Skills/ai-native-camp/camp-2/history-insight
history-insight logo

history-insight

ai-native-camp/camp-2
1K installs17 stars
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Installation

npx skills add https://github.com/ai-native-camp/camp-2 --skill history-insight

Summary

This skill should be used when user wants to access, capture, or reference Claude Code session history. Trigger when user says "capture session", "save session history", or references past/current conversation as a source - whether for saving, extracting, summarizing, or reviewing. This includes any mention of "what we discussed", "today's work", "session history", or when user treats the conversation itself as source material (e.g., "from our conversation").

SKILL.md

History Insight

Claude Code 세션 히스토리를 분석하고 인사이트를 추출합니다.

---

Data Location

~/.claude/projects/<encoded-cwd>/*.jsonl

Path Encoding: /Users/foo/project → -Users-foo-project

상세 파일 포맷: ${baseDir}/references/session-file-format.md

---

Execution Algorithm

Step 1: Ask Scope [MANDATORY]

스코프 결정:

  1. 명시된 경우 (AskUserQuestion 생략 가능):
  • "현재 프로젝트만" / "이 프로젝트" → current_project
  • "모든 세션" / "전체" → all_sessions
  1. 명시되지 않은 경우 - AskUserQuestion 호출:
   question: "세션 검색 범위를 선택하세요"
   options:
     - "현재 프로젝트만" → ~/.claude/projects/<encoded-cwd>/*.jsonl
     - "모든 Claude Code 세션" → ~/.claude/projects/**/*.jsonl

---

Step 2: Find Session Files

# Current project only
find ~/.claude/projects/<encoded-cwd> -name "*.jsonl" -type f

# All sessions (모든 프로젝트)
find ~/.claude/projects -name "*.jsonl" -type f

날짜 필터링: 파일의 mtime(수정시간) 확인 후 필터. OS별 stat 옵션 다름:

  • macOS: stat -f "%Sm" -t "%Y-%m-%d" <file>
  • Linux: stat -c "%y" <file>

---

Step 3: Process Sessions

Decision Tree
Session files found?
├─ No → Error: "No sessions found"
└─ Yes → How many files?
    ├─ 1-3 files → Direct Read + parse
    └─ 4+ files → Batch Extract Pipeline
1-3 Files

직접 Read로 JSONL 파싱. 파일이 크면(≥5000 tokens) extract-session.sh 사용:

${baseDir}/scripts/extract-session.sh <session.jsonl>
4+ Files: Batch Extract Pipeline
  1. 캐시 디렉토리 생성 (/tmp/cc-cache/<analysis-name>/)
  2. 세션 목록 저장 (sessions.txt)
  3. jq로 메시지 일괄 추출 (user_messages.txt)
  4. 정리 및 필터링 (clean_messages.txt)
  5. Task(opus)로 종합 분석
파일이 너무 클 때: 병렬 배치 분석

clean_messages.txt가 너무 커서 Read 실패 시:

  1. 파일 분할:
   split -l 2000 clean_messages.txt /tmp/cc-cache/<name>/batch_
  1. 병렬 Task(opus) 호출:
   Task(subagent_type="general-purpose", model="opus", run_in_background=true)
   prompt: "batch_XX 파일을 읽고 주제/패턴 요약해줘"
  1. 결과 병합: Task(opus)로 종합

---

Step 4: Report Results

## Session Capture Complete

- **Sessions:** N files processed
- **Messages:** X total, Y after filter

### Extracted Insights
[분석 결과]

---

Error Handling

ScenarioResponse
No session files found"No session files found for this project."
File too largeAuto-preprocess with extract-session.sh
jq not installed"Error: jq is required. Install with: brew install jq"
Task failed"Warning: Could not process [file]. Skipping."
0 relevant sessions"No sessions matched your criteria."

---

Security Notes

  • 출력에 전체 경로 노출 금지 (~ prefix 사용)

---

Related Resources

  • ${baseDir}/scripts/extract-session.sh - JSONL 압축 (thinking, tool_use 제거)
  • ${baseDir}/references/session-file-format.md - JSONL 구조 및 파싱

Score

0–100
63/ 100

Grade

C

Popularity15/30

1,171 installs — growing adoption.

Completeness27/30

Documented: full SKILL.md body, description, one-line install. Missing: category/license metadata.

Trust15/25

Community skill with a public GitHub source repository you can review.

Freshness6/15

No update timestamp is tracked for this skill in our catalog.

Scored automatically from popularity, completeness, trust, and freshness — computed only from data in our catalog, never fabricated.

Proud of your score? Add this badge to your README.

Paste a snippet into your GitHub README. The badge updates automatically and links back to this page.

History Insight skill score badge previewScore badge

Markdown

[![History Insight skill](https://www.remoteopenclaw.com/skills/ai-native-camp/camp-2/history-insight/badges/score.svg)](https://www.remoteopenclaw.com/skills/ai-native-camp/camp-2/history-insight)

HTML

<a href="https://www.remoteopenclaw.com/skills/ai-native-camp/camp-2/history-insight"><img src="https://www.remoteopenclaw.com/skills/ai-native-camp/camp-2/history-insight/badges/score.svg" alt="History Insight skill"/></a>

History Insight FAQ

How do I install the History Insight skill?

Run “npx skills add https://github.com/ai-native-camp/camp-2 --skill history-insight” in your terminal. The skill is added to your agent's skills directory and picked up automatically on the next run — no restart or extra configuration needed.

What does the History Insight skill do?

This skill should be used when user wants to access, capture, or reference Claude Code session history. Trigger when user says "capture session", "save session history", or references past/current conversation as a source - whether for saving, extracting, summarizing, or reviewing. This includes any mention of "what we discussed", "today's work", "session history", or when user treats the conversation itself as source material (e.g., "from our conversation"). The full SKILL.md on this page shows the exact instructions the skill gives your agent.

Is the History Insight skill free?

Yes. History Insight is a free, open-source skill published from ai-native-camp/camp-2. As with any third-party skill, review the source repository before installing it into an agent with sensitive access.

Does History Insight work with Claude Code and OpenClaw?

Yes. Skills use the portable SKILL.md format, so History Insight works with Claude Code, OpenClaw, Codex, Hermes, and any other agent that reads SKILL.md skills.

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