team-attention/plugins-for-claude-natives/history-insight

Claude Code and agent skill by team-attention/plugins-for-claude-natives

Trust tier 3
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Source check pending

Checking that the SKILL.md file is still in the repository.

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").

Install

npx vskill@latest install team-attention/plugins-for-claude-natives/history-insight

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
bash
# 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:

bash
${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:

``bash 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
markdown
## 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

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
690
Repository forks
83
7-day trend score
33

Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 20 Mar 2026, 7 months ago.

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