Sprint Planning

Updated May 13, 2026

What this skill does

Assists with sprint planning by analyzing team capacity, prioritizing the backlog based on impact and effort, and balancing workload across team members. Pulls data from Jira or Linear to recommend sprint scope, flag overcommitment, and generate sprint goals.

Example

PROMPT

Plan Sprint 24 for the Platform team (6 engineers). Velocity: avg 42 story points. Focus: reliability improvements.

OUTPUT

Sprint 24 Plan — Platform Team CAPACITY Team Size: 6 engineers (1 on PTO day 3-5) Available Days: 56 engineer-days Target Points: 40 (below velocity — PTO adjusted) RECOMMENDED SCOPE 1. [P0] Fix connection pool exhaustion — 8pts — @alice 2. [P0] Add circuit breaker to payment svc — 5pts — @bob 3. [P1] Migrate cache to Redis cluster — 13pts — @carol, @dave 4. [P1] Add latency alerts dashboard — 5pts — @eve 5. [P2] Update dependency versions — 3pts — @frank 6. [P2] Document failover procedures — 3pts — @alice TOTAL: 37 points (93% of target — safe buffer)

Required Tools

Jira

Linear

Compatible Agents

Claude

Cursor

Windsurf

ChatGPT

Any MCP-compatible agent

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Download Skill

Or install via CLI:
$ npx skills add webrix-ai/agent-skills --skill sprint-planning

Deploy Org-wide

Provision to teams via RBAC

Identity-aware execution

Signed & verified skills

Full audit trail

Auto-bundled with required MCP servers

Use with

Free for up to 5 users

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