Daily Todo Manager
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Please install @user_5e89ef19/daily-todo-tracker by following the official guide at https://skillhub.cn/install/skillhub.md.
About this skill
Problem
- Engineers often scatter tasks across chats, notes, and project files, making it hard to reconstruct what happened after parallel sessions.
- Hand-maintained
daily/projectsfiles can overwrite timelines, omit completed work, or missdeadlineand efficiency signals. - Direct model writes can also clobber user-authored diary sections and historical records if file editing is too aggressive.
- This approach can reduce cross-session overwrites and missed project updates.
How It Works
- Organizes local data under
TODO_DIRwithdaily/,projects/, andmemory/, and usesproject-tasks-cache.jsonto avoid scanning every project file. - Phrases like “morning” generate today’s plan, “start task” predicts duration, and “end work” summarizes
JSONLtranscripts into timelines, completed tasks, reflections, and project logs. - Writes emphasize
Readthen incrementalEdit, preserving## 🕐 Timeline,## ✅ Completed, and user-written blocks; risk checks target deadlines within three days, overdue items, and efficiency anomalies.
Fit and Caveats
- Best for engineers who maintain long-running research or project tasks in local Markdown files.
- Requires
TODO_DIRandCLAUDE_TRANSCRIPT_DIR; date interpretation, project ownership, and task classification still depend on triggers, keywords, and user confirmation. - If the directory layout is missing or the cache is stale, initialize or rebuild the cache before writing logs.
Use Cases
- During parallel research projects, end-of-work summaries scan JSONL transcripts and route updates into daily timelines and project logs.
- At the start of a workday, it generates a task overview and flags deadlines within three days, overdue items, and efficiency risks.
- Before starting a task, it checks dependencies and estimates duration and confidence ranges from task-time-history.
- When creating a project, it initializes project files and later adds tasks incrementally while preserving timelines and history.
Best For
- Graduate researchers maintaining multiple projects who need daily tasks, timelines, and lessons written to local Markdown.
- Independent developers reconstructing daily work across Claude Code sessions with JSONL-based project summaries.
- Engineers who prefer local files and Git-based directories for todos, work logs, and risk checks.
- Researchers writing papers or running empirical studies who need deadline alerts, duration estimates, and experience summaries.
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