소스 정보
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- deusXmachina-dev/memorylane
- 최근 소스 활동
- 2026년 6월 3일 12:34
- 감지된 SKILL.md 언어
- 영어
- 스타
- 123
- 포크
- 14
설치 방법
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
소스 파일 검토
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
메뉴
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/deusXmachina-dev/memorylane --skill time-report명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
(new) Find a person's repeated tasks from their screen activity, and what each one is worth automating, with the time and money saved. Outputs the numbers and data a report is built from, not the visual. Use to analyze processes, mine workflows, or see what is automatable and what it saves. Every figure is labelled and grounded, never made up.
(new) Turn a process analysis into a polished, client-ready report, first an HTML deck you review, then a matching PDF. Use to package an analysis into an exec report or PDF. Shows the deck for approval before making the PDF, and never makes up numbers.
Deploy the MemoryLane Claude Code plugin by verifying only plugin/marketplace files changed, bumping the plugin version, then committing and pushing.
SOC 직업 분류 기준
SKILL.md 표시 중
| name | time-report |
| allowed-tools | mcp__memorylane__browse_timeline, mcp__memorylane__search_context, mcp__memorylane__get_activity_details |
| description | Generate a time report grouped by client/project |
Generate a time report grouped by client and project with approximate durations. The output is what you'd submit to a client or paste into a timesheet — hours per client per day, with enough detail to justify the line items.
Before fetching any data, ask the user two things:
Store both answers — you'll use the client list to classify time blocks and the range to set startTime/endTime.
For the requested time range, iterate one day at a time to preserve sequential context:
browse_timeline(startTime="<day start>", endTime="<day end>", limit=200, sampling="uniform")
If the response header shows results were sampled (i.e., more entries exist), re-fetch that day with a higher limit (up to 1000).
For a single-day report, one call is enough. For multi-day ranges, iterate day by day and process each batch before moving on.
Walk through each day's activities chronologically:
Map each time block to a client from the user's list:
get_activity_details(ids) on 1–2 representative entries to inspect OCR text. Keep this to genuinely ambiguous cases.If the user skipped providing a client list in Step 1 (scan-first mode), propose a client list based on the distinct projects/apps you see, ask the user to confirm or adjust, then re-classify.
Format as a markdown table, grouped by client:
## Time Report — [Date range]
### [Client A]
| Date | Time Range | Project / Task | Duration | Details |
|---|---|---|---|---|
| Mon Feb 23 | 9:00 AM – 10:15 AM | API integration | 1h 15m | Editing api.ts, testing endpoints |
| Mon Feb 23 | 2:00 PM – 3:30 PM | API integration | 1h 30m | Debugging auth flow |
| Tue Feb 24 | 10:00 AM – 11:45 AM | Dashboard | 1h 45m | Building chart components |
**Subtotal**: 4h 30m
### [Client B]
| Date | Time Range | Project / Task | Duration | Details |
|---|---|---|---|---|
| Mon Feb 23 | 11:00 AM – 12:00 PM | Landing page | 1h 0m | Designing hero section |
**Subtotal**: 1h 0m
### Internal / Unassigned
| Date | Time Range | Activity | Duration | Details |
|---|---|---|---|---|
| Mon Feb 23 | 10:15 AM – 10:30 AM | *Break* | 15m | |
| Tue Feb 24 | 9:00 AM – 9:45 AM | Email + Slack | 45m | |
**Subtotal**: 1h 0m
---
**Total tracked time**: 6h 30m
**Breaks**: 15m
**Coverage**: Mon Feb 23 – Tue Feb 24
If the range is a single day, drop the Date column. If the report period is still in progress, note it's partial.
If the user asks follow-up questions after the report:
search_context(query) for client-specific or project-specific queries (e.g., "how long did I spend on Client A's API this week?").get_activity_details(ids) when they want exact on-screen text from a specific time block."today" resolves to midnight local time on the server.