Skip to content
Agentmart
Submit a tool

plan-sprint

Use when selecting tickets for a sprint from a prioritized backlog, setting a sprint goal, or allocating capacity.

Skill by igmarin

IndexedMIT★ 1
Write a review

Chalk Labs

Need help deploying plan-sprint?

Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.

Book a call

Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/igmarin-plan-sprint

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

Get the weekly diff

The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.

We use your email only for this newsletter. Privacy

About

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.

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/plan-sprint

What's inside

Skill name
plan-sprint
Description
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.
License
MIT
Metadata
version: 1.0.0 · user-invocable: true
Instructions
68 lines in SKILL.md · view on GitHub

Files (2)

  • SKILL.md
  • example-sprint-plan.md · assets/

SKILL.md (first lines)

# 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

```text
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:** `team_size × sprint_days × 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 |

From igmarin/agnostic-planning-skills, MIT.

More from igmarin/agnostic-planning-skills

Signals

Stars
1
Forks
1
Open issues
0
Last commit (this folder)
Sep 14, 2026 (1 month ago)

From GitHub (fetched Oct 24, 2026).

Details

Version
1.0.0
License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from igmarin

Done for you

Rather not set it up yourself?

Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.

See how we build AI agents →Read the case studies

Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

launches shipped
50+
launches shipped
media placements
500+
media placements
founders on every account
2
founders on every account

Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block

Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

Get plan-sprint running in your business

Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.

Goes to the Chalk Labs founders, not the newsletter. Privacy

Need help deploying plan-sprint?

CallGet help
Cite this page

plan-sprint skill. Agent Mart. https://agentmart.dev/skills/igmarin-plan-sprint (last updated 2026-10-24)