User Story Planner Pack
★Trusted◇Sandbox optionalv1.0.0MIT✔Verified80by AgentNode · published 6 months ago · toolpack
Break features into user stories with acceptance criteria.
Transform feature requests into structured user stories with descriptions, acceptance criteria, story points, and task breakdowns. Follows Agile best practices.
Quick Start
agentnode install user-story-planner-packRuns in a subprocess with filtered environment by default. Declared permissions are policy-checked, not sandboxed.
Usage
From packagefrom user_story_planner_pack.tool import run
result = run(
feature="User authentication system with email/password login, "
"OAuth via Google and GitHub, password reset flow, "
"and session management with refresh tokens.",
persona="full-stack developer",
include_acceptance_criteria=True,
estimate=True
)
for story in result["stories"]:
print(f"\n[{story['estimate']} pts] {story['title']}")
print(f" As a {story['persona']}, I want to {story['want']}")
print(f" so that {story['so_that']}")
print(f" Acceptance Criteria:")
for ac in story["acceptance_criteria"]:
print(f" - {ac}")
print(f"\nTotal stories: {len(result['stories'])}")
print(f"Total points: {result['total_points']}")Runs locally on your machine. No execution data is sent to AgentNode. Permissions are checked before execution. Learn how this works
Verification
Package installs and imports correctly. runtime checks passed.
This package was executed and validated by AgentNode before listing. Install, import, and runtime checks passed.
Verified in real_auto mode
Last verified 13d ago· Runner v2.0.0
Use this when you need to...
- ›Break a product feature spec into detailed user stories with acceptance criteria
- ›Generate story maps from high-level epic descriptions
- ›Create sprint-ready stories with story point estimates from PRDs
- ›Decompose a monolith-to-microservices migration into incremental stories
- ›Produce BDD-style Given/When/Then scenarios for each user story
README
Version History
Capabilities
Permissions
Declared by the publisher. Checked before execution by the policy gate.
Permissions are policy-checked before execution. For trusted and curated packages that run on the host, network and filesystem access are policy-checked but not OS-sandboxed. When runtime isolation is required for untrusted/community code, AgentNode uses sandbox-or-fail-closed if the required container runtime and pinned image are available. Learn more
Privacy
All tool execution happens locally on your machine. AgentNode never receives:
- • Tool inputs or outputs
- • Execution logs
- • Data your agent processes
Only install events and search queries are sent to the registry.
agentnode install user-story-planner-packFiles (3)
License
MITStats
Compatibility
Frameworks
Runtime
pythonPython Version
>=3.10Trust & Security
Publisher
AgentNode
@agentnode