Estimating Work

SkillProductivity

Estimate effort for development tasks. Use when planning sprints, roadmaps, or project timelines. Covers story points, relative estimation, and uncertainty.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Estimating Work skill

What this skill tells your AI

The instructions your AI receives, as published by nguyenhuuca/assessment in .claude/skills/product/estimating-work/SKILL.md and read by ahel’s review.

Estimation Approaches

Story Points

Relative complexity, not time.

PointsComplexity
1Trivial, well understood
2Simple, minor unknowns
3Moderate complexity
5Complex, some unknowns
8Very complex, significant unknowns
13Extremely complex, many unknowns
21+Too big, needs decomposition

T-Shirt Sizing

For high-level estimates.

SizeRelative Effort
XSHours
S1-2 days
M3-5 days
L1-2 weeks
XL2-4 weeks

Estimation Factors

Consider:

  • Complexity: How difficult is the problem?
  • Uncertainty: How much is unknown?
  • Effort: How much work is involved?
  • Risk: What could go wrong?

Estimation Techniques

Planning Poker

  1. Present the task
  2. Everyone selects estimate privately
  3. Reveal simultaneously
  4. Discuss outliers
  5. Re-estimate if needed

Three-Point Estimation

Expected = (Optimistic + 4×Likely + Pessimistic) / 6

Reference Stories

Keep calibration stories:

  • "This 3-point story took 2 days"
  • "This 8-point story took a week"

Common Pitfalls

  • Anchoring: First estimate biases others
  • Optimism: Underestimating unknowns
  • Scope Creep: Original estimate doesn't match final scope
  • Ignoring Overhead: Code review, testing, deployment

Tips

  1. Estimate in ranges, not points
  2. Include buffer for unknowns
  3. Track actual vs. estimated
  4. Re-estimate when scope changes
  5. Don't estimate in hours (use relative sizing)

Signals

GitHub stars
34
Forks
24
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
estimating-work
Source
github.com/nguyenhuuca/assessment