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Productivity Analyzer (Construction Labor)

Turns daily site output records into planned-vs-actual productivity metrics, trends, benchmark comparisons, and completion forecasts.

Data & AnalyticsIntermediate★ 342⑂ 84AI score 7/10Last updated: Aug 22, 2026

What it does

  • Accepts daily records (planned vs actual output, manhours, crew size, conditions) manually or from a pandas DataFrame.
  • Computes efficiency % and classifies each activity as excellent / on_target / below / critical, plus a trend of improving / declining / stable by comparing early vs late periods.
  • Benchmarks actual unit-per-manhour rates against built-in industry figures for 10 trades (concrete pour, rebar, formwork, brick laying, drywall, painting, conduit, pipe, excavation, backfill).
  • Flags problem activities with HIGH/MEDIUM priority and forecasts manhours, days, and estimated completion date for remaining quantities.
  • Exports a 3-sheet Excel report: Summary, Problem Areas, Raw Data.

Who it's for

  • Site engineers, construction/project managers tracking crew output.
  • Cost and planning engineers producing recurring productivity reports.
  • Anyone managing subcontractor performance who needs benchmark-backed numbers.

Example uses

  1. "Load the last 10 days of Level 3 slab pour data and tell me efficiency and trend."
  2. "With 500 m³ of concrete remaining at the current rate, when do we finish?"
  3. "List every activity below industry benchmark this month by priority and export it to Excel."

· · · Install guide · · ·

Try it now, no install

Paste this into Claude to use the skill without installing anything.

Read the instructions in this file and follow them to help me:
https://raw.githubusercontent.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/HEAD/1_DDC_Toolkit/Analytics/productivity-analyzer/SKILL.md

What I want: (describe your task here)

If Claude can't open the link, open it yourself and paste the contents instead.

↓ If it works for you, download the ZIP below and install it. Then it runs on its own — no pasting each time.

Install in the Claude app (no terminal)
  1. Download the ZIP with the button below.
  2. In Claude, open Settings → Capabilities and turn on 'Code execution and file creation'. (one time)
  3. Go to Customize → Skills → + → 'Upload a skill' and upload the ZIP.
↓ Download ZIP
Install in Claude Code

Let Claude do it — paste this into Claude Code

Install the skill I found on Claude Skill Mart.
Copy the 1_DDC_Toolkit/Analytics/productivity-analyzer folder from the GitHub repo datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction into my ~/.claude/skills/productivity-analyzer/.
When it's done, tell me in one line what this skill can do.

Install with a command instead

git clone https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction.git /tmp/ddc && mkdir -p ~/.claude/skills && cp -r /tmp/ddc/1_DDC_Toolkit/Analytics/productivity-analyzer ~/.claude/skills/

⚠ This is a third-party skill. Check the source repository before installing.

  1. Open a terminal and confirm Python is available: python3 --version
  2. Install the required libraries: pip install pandas numpy openpyxl
  3. Clone the skill repository: git clone https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction.git
  4. Copy the skill folder into Claude Code: mkdir -p ~/.claude/skills && cp -r DDC_Skills_for_AI_Agents_in_Construction/1_DDC_Toolkit/Analytics/productivity-analyzer ~/.claude/skills/
  5. Restart Claude Code and ask something like "Use the productivity-analyzer skill on my site output data."
  6. Prepare your data as CSV/Excel with columns date, activity_code, planned_output, actual_output, manhours so it can be imported directly.
View source on GitHub ↗License: MIT