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From antigravity-awesome-skills
Estimate AI-assisted and hybrid human+agent development work with research-backed PERT statistics and calibration feedback loops
How this skill is triggered — by the user, by Claude, or both
Slash command
/antigravity-awesome-skills:progressive-estimationThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Estimate AI-assisted and hybrid human+agent development work using research-backed formulas with PERT statistics, confidence bands, and calibration feedback loops.
Estimate AI-assisted and hybrid human+agent development work using research-backed formulas with PERT statistics, confidence bands, and calibration feedback loops.
Progressive Estimation adapts to your team's working mode — human-only, hybrid, or agent-first — applying the right velocity model and multipliers for each. It produces statistical estimates rather than gut feelings.
Single task:
"Estimate building a REST API with authentication using Claude Code"
Batch mode:
"Estimate these 12 JIRA tickets for our next sprint"
With context:
"We have 3 developers using AI agents for ~60% of implementation. Estimate this feature."
Problem: Overconfident estimates Solution: Use P75 or P90 for commitments, not P50
Problem: Missing context Solution: The skill asks clarifying questions — provide team size and agent usage
Problem: Stale calibration Solution: Re-calibrate when team composition or tooling changes significantly
@sprint-planning - Sprint planning and backlog management@project-management - General project management workflows@capacity-planning - Team velocity and capacity planningnpx claudepluginhub sickn33/antigravity-awesome-skills --plugin antigravity-bundle-aas-mobile-app-builderEstimates AI-assisted and hybrid human+agent development tasks using PERT statistics, confidence bands, and calibration feedback for sprint planning and capacity forecasting.
Estimates effort, cost, duration, and complexity for projects, features, and tasks using analogous, parametric, three-point, and expert judgment methods. For planning and forecasting.
Replaces single-point guesses with structured three-point PERT estimates (best/likely/worst) including confidence intervals, unknowns, and assumptions. Useful for effort estimation, story pointing, or t-shirt sizing.