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Sprint Planning — measured AI agent skill | DecimalAI

a5c-ai/sprint-planning

SkillScore32Maintained

Plan implementation sprints with story selection, goal definition, and execution ordering.

by a5c-ai

Links this skill to your agents and keeps it current with the author’s updates.

Automatic

Project Management pack

decimalai skills pull a5c-ai-sprint-planning

Get this skill — curl · raw file

curl -fsSL https://app.decimal.ai/s/a5c-ai-sprint-planning/SKILL.md

Raw file: /s/a5c-ai-sprint-planning/SKILL.md ↗ · machine-readable summary at /s/a5c-ai-sprint-planning.json ↗

In productionGlobal

how this skill behaves on real traffic · last 30 days

No production data for this skill yet — usage numbers appear here once agents start running it.

Anonymized aggregate across every org using this skill — proof from real production use, not a demo.

Does this skill help? · Benchmark: with vs. withoutsign in to run this on your agents

22 test cases from the publisher’s eval.yaml · each run twice on gemini-3.6-flash — with the skill injected, then without · last run 9d ago

Yes — +27% lift-42% tokens0% turns32% of whole cases pass with skill (7/22)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-05	✗→✓	▲ Improved	-74%	0%
case-06	✗→✓	▲ Improved	-74%	0%
case-08	✗→✓	▲ Improved	-48%	0%
case-18	✗→✓	▲ Improved	-66%	0%
case-20	✗→✓	▲ Improved	-25%	0%

Showing 5 of 22 cases

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 7/31/2026

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

a5c-ai / babysitter

library/methodologies/bmad-method/skills/sprint-planning/SKILL.md

View on GitHub ↗

License MITImported 7/31/2026Version v1

Skill contents

SKILL.md

Sprint Planning

Plan implementation sprints with story selection, goal definition, and execution ordering.

Agent

Bob (Scrum Master) - bmad-sm-bob

Workflow

Review available stories from epic backlog
Consider velocity from previous sprints
Select stories forming coherent sprint goal
Validate stories are implementation-ready
Order by dependency and priority
Define sprint goal and identify blockers

Inputs

projectName - Project name
sprintNumber - Current sprint number
epics - Available epics and stories
previousSprints - Previous sprint results (optional)

Outputs

Sprint goal and selected stories
Execution order with dependencies
Story point commitment
Blocker identification

Process Files

bmad-orchestrator.js - Phase 4 sprint planning
bmad-implementation.js - Standalone implementation

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Other measured skills in the registry, with their headline benchmark lift.