igmarin/agnostic-planning-skills

plan-sprint

Use when selecting tickets for a sprint from a prioritized backlog, setting a sprint goal, or allocating capacity. Trigger words: plan sprint, sprint planning, sprint goal, sprint capacity, sprint backlog, what should we work on this sprint.

First seen Jun 19, 2026

Installation

$ npx skills add igmarin/agnostic-planning-skills --skill plan-sprint

Similar popular skills

Related neighbors and high-traction skills in the same topics — useful to compare before installing.

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Other skills from igmarin/agnostic-planning-skills · top by installs.

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

License LICENSE
Default branch main
Open issues 0
Status Active

Skill metadata

Parsed from SKILL.md frontmatter.

Version1.0.0
LicenseMIT
More metadata
version
1.0.0
user-invocable
true

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 3,349 B
  • docs SUMMARY.md 260 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 23 installs

SKILL.md

Planning a Sprint

Select tickets, define a goal, and commit to a sprint scope.

Quick Reference

  • Input: Prioritized backlog, team capacity, sprint duration.
  • Output: Sprint plan with selected tickets, sprint goal, capacity allocation.
  • Rule: Don't overcommit — plan for ≤80% of theoretical capacity.

HARD-GATE

DO NOT commit more than the team's historical velocity.
DO NOT select tickets with unresolved dependencies or unclear acceptance criteria.
DO set a single, clear sprint goal that every selected ticket supports.

Core Process

  1. Gather inputs — prioritized backlog (from prioritize-backlog), team capacity, sprint dates, historical velocity.
  2. Define sprint goal — every selected ticket must support this goal.
  3. Select tickets — start from the top of the backlog, stop when total estimate reaches ≤80% of capacity (see [Capacity Heuristics](#capacity-heuristics) below).
  4. Validate — check no ticket has unresolved dependencies, unclear acceptance criteria, or missing estimates. Use the [Common Anti-Patterns](#common-anti-patterns) table as a checklist.
  5. Flag — tickets that almost made the cut (next sprint), dependency risks, stretch goals.
  6. Output — sprint plan using the format in [Output Style](#output-style).

Capacity Heuristics

Theoretical Capacity

  • Per person per day: 6 productive hours.
  • Sprint capacity: teamsize × sprintdays × 6h × utilisation_factor
  • Utilisation factor: 0.8 for stable teams; 0.6–0.7 for new or high-uncertainty teams.

Velocity

  • Rolling average: Mean completed points across last 3–5 sprints; exclude disrupted sprints.
  • No history: Use theoretical_capacity × 0.6 as a conservative baseline.
  • Declining trend: Use the most recent sprint's figure rather than the average.

Common Anti-Patterns

Anti-Pattern Mitigation
Planning to 100% capacity Cap at 80%
Including unestimated tickets Estimate before committing
Multiple sprint goals One goal per sprint
Ignoring dependencies Resolve or defer dependents
Carry-over without re-estimation Re-estimate carry-over tickets

Output Style

  1. Sprint header — name, dates, duration, team capacity.
  2. Sprint goal — single sentence.
  3. Selected tickets — | Rank | Ticket | Estimate | Confidence | Notes |
  4. Capacity allocation — total committed, buffer (%), stretch goals.
  5. Deferred — top 3 items that didn't fit, for next sprint visibility.
  6. English only unless user requests otherwise.

Worked example: [assets/example-sprint-plan.md](assets/example-sprint-plan.md).

Integration

Skill When to chain
prioritize-backlog Use ordered backlog as input to ticket selection
estimate-tasks Reference estimates for capacity-based selection
identify-risks Scan sprint plan for dependency and capacity risks