Skip to content
Automation
Skill

/sprint

Activate for: sprint, innovation sprint, agile, sprint plan, sprint goal, sprint backlog, user story, acceptance criteria, definition of done, sprint review, sprint retrospective, velocity, iteration, two-week sprint, sprint planning, what to build this sprint, backlog

From plugin
agentfactory-business-plugins
2997 skills30 agents8 commands
Install
$ npx -y skills add panaversity/agentfactory-business-plugins --skill sprint --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/sprint

Context preview

The summary Claude sees to decide when to auto-load this skill.

Activate for: sprint, innovation sprint, agile, sprint plan, sprint goal, sprint backlog, user story, acceptance criteria, definition of done, sprint review, sprint retrospective, velocity, iteration, two-week sprint, sprint planning, what to build this sprint, backlog

SKILL.md

sprint.SKILL.md
name: sprint
description: >
  Activate for: sprint, innovation sprint, agile, sprint plan, sprint goal,
  sprint backlog, user story, acceptance criteria, definition of done,
  sprint review, sprint retrospective, velocity, iteration, two-week sprint,
  sprint planning, what to build this sprint, backlog prioritisation, story points,
  mid-sprint check, sprint close, assumption update, learning sprint.
  NOT for: idea generation (use idea), assumption mapping (use hypothesis),
  pilot results analysis (use validate).
license: Apache-2.0
metadata:
  author: Panaversity
  version: "1.0"
  plugin-commands: "/sprint"

CONTEXT LOADING

Before executing, check for `innov.local.md` in the working directory. If found, extract:

  • venture: name, stage, type
  • key_assumptions: all entries with IDs, risk levels, test status
  • sprint_log: previous sprint results and learnings

If `innov.local.md` is not found: Continue with conversation context. After first substantive output, prompt: "I'm working without your venture context. Run Exercise 8 from Chapter 40 to build innov.local.md -- it will make every subsequent output specific to your venture rather than generic."

STAGE-AWARE CALIBRATION

Check venture.stage and calibrate:

  • IDEA: Sprint planning is applicable -- use innovation sprint format focused on discovery tasks.
  • DISCOVERY: Sprint planning is applicable -- use innovation sprint format focused on interview and synthesis tasks.
  • VALIDATION: This is your focus stage. Innovation sprints should target assumption validation.
  • MVP: This is your focus stage. Innovation sprints should target learning + delivery goals.
  • GROWTH: Consider switching to product sprint format -- most assumptions should be validated.

DLA PROGRESSION CHECK

If key_assumptions in innov.local.md are mostly UNTESTED: "You are planning sprints before validating your assumptions. An innovation sprint should target a specific assumption. Consider running /hypothesis first to build your assumption map, then plan sprints around testing the highest-risk assumptions."

INNOVATION SPRINT WORKFLOW

Innovation Sprint vs. Product Sprint

PRODUCT SPRINT: Used when requirements are relatively known. Goal type: Delivery ("complete feature X and Y") Success: Did we ship what we planned? Retrospective: How do we work better together?

INNOVATION SPRINT: Used when both problem and solution have uncertainty. Goal type: Learning + delivery ("validate assumption X while building Y") Success: Did we learn what we set out to learn? Did we build what tests it? Retrospective: Which assumptions changed this sprint?

Use INNOVATION SPRINT format whenever venture.stage is DISCOVERY, VALIDATION, or MVP. Switch to PRODUCT SPRINT format at GROWTH stage when assumptions are largely validated.

Sprint Task Types

TYPE 1: SPRINT PLAN Input: Sprint goal (learning + delivery); team; velocity; open assumptions Output: Sprint goal statement, backlog with user stories + acceptance criteria, definition of done, mid-sprint check template, review format, retrospective format

TYPE 2: BACKLOG PRIORITISATION Input: Full feature/task backlog Output: Prioritised backlog by assumption risk x delivery value

TYPE 3: SPRINT REVIEW Input: What was completed; what was not; any early learning signals Output: Progress assessment; carry-over rationale; updated sprint board

TYPE 4: SPRINT RETROSPECTIVE Input: Sprint outcomes; what worked/didn't; assumption test results Output: Learning synthesis; assumption updates for innov.local.md; next sprint priority

Sprint Plan Output Structure

INNOVATION SPRINT PLAN -- Sprint [N]
Dates: [Start] - [End] | Team: [N people] | Velocity: [N points]
================================================================
SPRINT GOAL:
  Learning goal: [Specific assumption being tested -- reference A-00X]
  Delivery goal: [What gets built that enables the test]

SPRINT BACKLOG:

  US-[NNN]: [User story title] [[N] points] [[Owner]]
  As a [role], I want to [action] so that [outcome].
  Acceptance criteria:
    - [Criterion 1 -- specific and measurable]
    - [Criterion 2]
    - [Criterion 3]
  Tests assumption: [A-00X]

  [Repeat for each story -- 3-7 stories per sprint]

DEFINITION OF DONE:
  Code:     [Deployed to / tested on / performance threshold]
  Learning: [Measured for N days / N users / N transactions]
  Docs:     [What gets documented in innov.local.md]

MID-SPRINT CHECK (Day [N]):
  Review:   [Is the critical story on track?]
  Measure:  [Any early signal on the learning goal?]
  Risk:     [Any story at risk? Adjust scope now, not on the last day]

SPRINT REVIEW FORMAT:
  Demo:     [What to show; to whom]
  Measure:  [Data from the learning goal -- even early/partial]
  Learning: [Did we confirm or invalidate the target assumption?]
  Input:    [What do stakeholders or pilot customers say?]

SPRINT RETROSPECTIVE FORMAT:
  What worked? (1 item per person -- specific)
  What did not work? (1 item per person -- specific)
  Assumption updates:
    [A-00X]: [New status + evidence from this sprint]
  One experiment for next sprint based on learning:
    [Specific change to try]
  Next sprint priority: [What the learning implies we do next]
================================================================

User Story Quality Standard

STRONG user story:

  • Names a specific role ("CFO" not "user")
  • States the action precisely ("receive an approval request via WhatsApp"

not "get notified")

  • States the outcome the user cares about (not the feature)
  • Has acceptance criteria that are testable (pass/fail) -- not vague

WEAK user story: "As a user, I want a better notification system so that I know things happened"

STRONG user story: "As a CFO, I want to receive invoice approval requests directly in Slack so that I can approve without logging into a separate tool -- measurable by: approval response time drops from 48hr to <4hr in pilot."

###

Read more
Ships withagentfactory-business-plugins

🚀 Marketplace of domain-specific plugins for building enterprise AI agents. Enable AI agents to perform finance, banking, legal, and sales workflows using modular domain plugins.

Get the whole plugin