critical-path-analyzer
Perform critical path method (CPM) analysis with forward/backward pass calculations
Profile →npx skills add a5c-ai/babysitter --skill critical-path-analyzer --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Critical Path Analyzer ## Overview The Critical Path Analyzer skill performs comprehensive Critical Path Method (CPM) analysis on project schedules. It calculates forward and backward passes to determine early/late dates, identifies float values, and highlights the critical path - the longest sequence of dependent activities that determines the minimum project duration. ## Capabilities ### Core CPM Calculations - Calculate forward pass (early start/finish dates) - Calculate backward pass (late start/finish dates) - Determine total float and free float - Identify critical path activities - Detect near-critical paths (activities with low float) ### Advanced Analysis - Perform what-if analysis for schedule compression - Calculate schedule risk exposure - Generate critical path reports and visualizations - Support multiple calendar assignments - Handle complex dependency relationships (FS, SS, FF, SF with lag/lead) ### Schedule Optimization - Identify crashing candidates based on cost-duration tradeoffs - Recommend fast-tracking opportunities - Calculate compression costs and benefits - Model resource-constrained critical path ## Usage ### Input Requirements - Activity list with uniq
- Overview
- Capabilities
- Core CPM Calculations
- Advanced Analysis
- Schedule Optimization
- Usage
- Input Requirements
- Output Deliverables
- Example Use Cases
- Process Integration
- Dependencies
- Related Skills
What does the critical-path-analyzer skill do?
Perform critical path method (CPM) analysis with forward/backward pass calculations
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill critical-path-analyzer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.