How does the skill maintain project state without constant API calls?

The skill creates a `.scrum/` directory in your project to track sync states and manifests locally, ensuring your repository remains the source of truth for the backlog. This allows for offline planning and prevents duplicate work items when syncing to Jira or Azure DevOps.

What platforms and technical prerequisites are required to use this skill?

This skill is compatible with Jira Cloud, Jira Data Center, and Azure DevOps. It requires a local Python 3 environment and a `.env` file to securely handle your platform credentials and API tokens.

How does this skill ensure that task status on the board matches the actual code progress?

Unlike generic prompts, this skill enforces a 'PR-gated' workflow, meaning it validates that all associated Pull Requests are approved and merged before a story can be closed, ensuring your board reflects the actual state of the code.

Can I use this to turn an existing design document into a full project backlog?

Yes, the skill is designed to read your existing READMEs, design documents, and repository architecture to automatically decompose high-level plans into structured epics, stories, and tasks.

Are there any specific project management actions that the skill cannot perform?

For security and data integrity, the skill does not support the automated deletion of work items or the reassignment of tasks belonging to other team members.

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scrum master by Nissi

Transform technical plans into Jira or Azure DevOps backlogs with automated sprint planning and PR-gated story closure.

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scrum master by Nissi

Example session with this skill installed

Review the technical plan in docs/arch.md and create a sprint backlog for the auth module in my local .scrum folder. Map these to Jira Cloud stories with acceptance criteria.

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Compiled the scrum master by

I have analyzed docs/arch.md and decomposed the authentication module into a structured backlog. The plan is saved to .scrum/backlog_manifest.json and mapped to Jira Cloud hierarchy.

Sprint Backlog: Authentication Module

ID	Type	Title	Dependency	Acceptance Criteria
AUTH-01	Story	Implement JWT Middleware	None	1. Validates RS256 signatures. 2. Rejects expired tokens. 3. Sets `req.user` context.
AUTH-02	Story	Refresh Token Endpoint	AUTH-01	1. Rotates refresh tokens on use. 2. Revokes compromised families.
AUTH-03	Task	Configure .env.example	None	1. Add AUTH_SECRET placeholder. 2. Update README setup steps.
AUTH-04	Bug	Fix Cookie SameSite	None	1. Set SameSite=Strict for session cookies. 2. Verify across subdomains.

Sprint Goal: Secure the API surface by implementing robust JWT validation and token rotation flows.

Next steps

Review the proposed stories in .scrum/backlog_manifest.json.
Run python3 scripts/tracker_api.py --env-file .env check to verify Jira connectivity.
Provide approval to publish these items to the Jira board.

Connects securely to your tools. The creator never sees your data.

About this skill

Managing a messy software backlog while trying to ship code is a constant friction point for developers. This skill bridges the gap between technical implementation plans and formal project management, turning your design docs and repository analysis into structured, traceable work items.

What it does

Requirement decomposition breaks down technical analyses into epics, features, user stories, and granular tasks.
Backlog synchronization connects to Jira (Cloud/Data Center) or Azure DevOps to create or update work items using local credentials.
Sprint planning proposes sprint goals and orders work by dependencies, risk, and value based on project architecture.
Compliance gating enforces strict Definition of Done by preventing story closure until all related Pull Requests are approved.
Local state management maintains a .scrum/ directory with manifests and sync states to track progress without constant API calls.

How it works

Understand the skill reads your local repository files, existing architecture, and technical plans to define the scope.
Map it identifies the specific hierarchy and field requirements of your target platform (Jira vs Azure DevOps).
Plan the agent generates a sprint plan including a goal, sequence, and risk assessment stored in .scrum/.
Publish using a local Python helper, it synchronizes the plan to your project board while respecting .env security.

Frameworks & tools

Built for teams using Jira Cloud, Jira Data Center, or Azure DevOps. It utilizes a python3 helper script for REST API interactions and integrates with standard Git workflows for PR-based story closure.

Why this beats prompting it yourself

Writing valid Jira stories with proper acceptance criteria and parent-child links is tedious and error-prone. This skill automates the boilerplate, maintains a local source of truth in your repo, and enforces a hard link between code approval and task completion that generic prompts miss.

Use cases

Initial project scaffolding to turn a new README or design doc into a full Jira backlog.
Sprint preparation to group existing tasks into a coherent sprint goal with dependency mapping.
Automated tracking to update task statuses and verify PR approvals before closing PBIs.
Cross-platform migration to map conceptual requirements to platform-specific work item types.

Known limitations

Requires local Python 3 and a configured .env file for remote synchronization. It does not support automatic deletion of items or reassigning work belonging to other users.

How to use

Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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scrum master by Nissi