novel-jp
Official@novel-jp
A structured project management framework for engineering teams to standardize decision records, task decomposition, and technical documentation through ProjSight integration.
Agent Skills by novel-jp
Showing 44 vetted skills indexed across 1 GitHub repositories.
novel-jpreview-dr
Review Decision Records for rationale, alternatives, constraints, consequences, and decision criteria.
novel-jplearn-pj-incident
Track incident response from issue reporting to risk registration in ProjSight workflows.
novel-jplearn-se-decompose
Decompose deliverables into independently verifiable tasks with completion criteria.
novel-jplearn-gw-pr
Create a GitHub pull request and link it to a ProjSight task.
novel-jpproduct-review
Reviews feature proposals and scope changes from a product owner perspective.
novel-jpphase-transition
Coordinate phase transition reviews and carry-over decisions for project work.
novel-jplearn-pc-compare
Compare vague and structured prompts by implementing the same feature twice.
novel-jplearn-se-risk
Capture probability, impact, category, description, and mitigation for implementation risks.
novel-jplearn
Track ProjSight curriculum progress and identify the next exercise to complete.
novel-jplearn-pj-retrospect
Review ProjSight project records and evaluate growth across the 4+2 skills.
novel-jplearn-setup
Guide users through Claude Code and ProjSight setup with connectivity checks and first task creation.
novel-jplearn-pc-reporting
Structure workplace reports into situation, impact, options, and ask messages.
novel-jplearn-ac-code-review
Review AI-generated code diffs for intent, tests, performance, security, and maintainability issues.
novel-jpaudit-dr
Classify decision record statuses and propose lifecycle updates via ProjSight MCP Server.
novel-jplearn-ac-evaluate
Evaluate AI-generated code for correctness, security, performance, and maintainability.
novel-jplearn-ce-dd
Draft structured design documents with Mermaid diagrams for software features.
novel-jplearn-ie-write
Create architecture decision records with context, alternatives, and consequences.
novel-jplearn-ac-iterate
Refine AI-generated code through four-phase skeleton, implementation, testing, and refactoring.
novel-jplearn-ie-casestudy
Guide intent engineering case-study analysis and project prioritization.
novel-jplearn-se-workflow
Train users to operate start_work, resume, and complete_work task workflows.
novel-jplearn-pj-execute
Execute tracked project tasks with status updates, branch naming, and PR creation.
novel-jplearn-gw-branch
Teach task-linked branch naming for trunk-based Git workflows.
novel-jplearn-pc-review
Analyzes peer task descriptions and generates structured, praise-first feedback for ProjSight tracking.
novel-jplearn-pj-kickoff
Structure project kickoffs with deliverables, tasks, decisions, and risks.
Frequently Asked Questions About novel-jp
FAQPage SchemaWhat specific project management tasks does this framework enable?▼
It enables structured project kickoff, task decomposition, risk registration, and the creation of architecture decision records. Users can track incident responses, manage pull request lifecycles, and perform project health audits to ensure deliverables meet defined completion criteria.
Which personas benefit most from these project management capabilities?▼
Engineering leads, technical project managers, and software developers benefit from these capabilities. The framework is designed for teams seeking to standardize their development lifecycle, improve documentation quality, and ensure consistent project tracking across distributed technical environments.
What are the prerequisites for implementing this project management system?▼
Implementation requires access to the ProjSight environment and a configured GitHub repository. Users must establish connectivity between their development environment and the ProjSight server to enable task tracking, branch naming conventions, and pull request synchronization.