estimate-maestro
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- AlicenseAqualityCmaintenanceEnables tracking work time with start/stop timers, logging entries, and generating reports.48 npm28 PyPIMIT
- AlicenseNot gradedqualityBmaintenanceEnables coding agents to produce calibrated time estimates by mining your own finished session history, estimating whole multi-step plans over dependency-aware schedules, recording actuals to correct later forecasts, and backtesting the numbers against past sessions. Runs locally over Claude Code transcripts or Cortex databases, giving quantile ranges (P50/P80/P95) with confidence labels instead of human-timeline guesses.3 npmMIT
- AlicenseNot gradedqualityCmaintenanceEnables local-first time tracking with timers and time entries stored in a SQLite database that sync to Intervals in the background, with local-only reporting and queries.24 npmMIT
- AlicenseNot gradedqualityDmaintenanceEnables time tracking in Tempo with automatic timesheet generation from git commits, worklog management with roles and accounts, and integration with Jira for seamless project time logging.1MIT
- FlicenseNot gradedqualityBmaintenanceEnables tracking worked hours by client, project, and task, with monthly/daily reports and natural language interaction through Claude.-
- AlicenseNot gradedqualityCmaintenanceEnables logging, listing, updating, deleting, and summarizing timesheet entries, starting and stopping timers, checking timer status, and exporting time data through natural language, backed by a local SQLite database.8 npmMIT
TDQS
Scored across 21 tools
Every tool has a clearly distinct purpose. Even overlapping domains like commits (harvest, record, remap) and intervals (clock, annotate, repair) are separated by specific actions and targets. No two tools could be easily confused for the same operation.
The majority of tools follow a consistent verb_noun pattern (e.g., repair_interval, start_effort, add_slice). A few query tools are named as nouns (current, summary, effort_table, effort_detail), which is a minor deviation but still readable and sensible for retrieval operations.
With 21 tools, the surface is substantial but justified by the domain's complexity—covering efforts, intervals, slices, commits, estimates, and queries. Each tool adds distinct functionality, though the count is on the higher end and could feel heavy for simpler use cases.
The toolset provides comprehensive lifecycle coverage: starting and finishing efforts, managing slices (add/close/drop/rename), tracking time (clock in/out, absence), revising estimates, recording commits, and rich reporting (current, table, detail, summary). No obvious gaps or dead ends are apparent.