workinprogress.ai
Official@workinprogress-ai
Facilitates software engineering lifecycle management through structured Markdown documentation, GitHub issue synchronization, and architectural design refinement.
Agent Skills by workinprogress.ai
Showing 30 vetted skills indexed across 1 GitHub repositories.
workinprogress-aidevenv-rubber-duck
Facilitate Socratic questioning to clarify fuzzy software development problems.
workinprogress-aidevenv-refine-roadmap
Refines Markdown roadmap documents by splitting, merging, and re-sequencing steps while preserving IDs and issue links.
workinprogress-aidevenv-pair-programming
Manages pair-programming sessions with GitHub-issue-based implementation plans and approval gates.
workinprogress-aidevenv-update-roadmap
Synchronize roadmap Markdown files with GitHub issue and pull request states.
workinprogress-aidevenv-refine-blueprint
Append requirements and design decisions to Markdown blueprint files while preserving section numbering and revision history.
workinprogress-aidevenv-document
Generate technical documentation from source code and existing documentation.
workinprogress-aidevenv-open-pr
Generate GitHub pull request titles and bodies from implementation plans, git logs, and issues.
workinprogress-aidevenv-pre-commit
Automates linting, formatting, type-checking and testing workflows on modified files since merge-base.
workinprogress-aidevenv-design-discussion
Facilitate structured architectural design discussions by surfacing trade-offs and forces.
workinprogress-aidevenv-refine-implementation-plan
Refine implementation plans by incorporating scope changes and new requirements into markdown artifacts.
workinprogress-aidevenv-gather-requirements
Conduct a three-phase requirements interview to produce functional requirements with acceptance criteria.
workinprogress-aidevenv-refresh-implementation-plan
Assess and remediate stale implementation plans against current codebase state.
workinprogress-aidevenv-plan-status
Analyzes implementation plan markdown files or GitHub issues to compute task completion metrics.
workinprogress-aidevenv-create-implementation-plan
Generate phased implementation plans from user stories, GitHub issues, or technical specifications.
workinprogress-aidevenv-session-handoff
Generate structured session handoff reports from git history and uncommitted changes.
workinprogress-aidevenv-spike
Build throwaway prototypes and generate findings documents for technical feasibility research.
workinprogress-aidevenv-triage-issue
Automate GitHub issue triage, classification, labeling, and duplicate detection.
workinprogress-aidevenv-grooming
Consolidate component-level design intake into a unified grooming workflow.
workinprogress-aidevenv-skill-guru
Route development tasks to appropriate skills via structured questions and registry lookup.
workinprogress-aidevenv-chat-with-code
Explain codebase architecture with cited references to files and line numbers.
workinprogress-aidevenv-delegation
Execute pre-planned development tasks in reviewable phases with human oversight.
workinprogress-aidevenv-plan-update
Update implementation plan markdown files with task completion and revision logging.
workinprogress-aidevenv-skill-maintenance
Synchronize skill definitions, governance documentation, and routing registries across the workspace.
workinprogress-aidevenv-bug-fix
Trace call chains to identify root causes and report resolution paths.
Frequently Asked Questions About workinprogress.ai
FAQPage SchemaWhat specific engineering tasks are supported by these capabilities?▼
These capabilities support technical documentation generation, implementation plan refinement, GitHub issue triage, architectural design discussions, and code review feedback generation. They enable engineers to maintain synchronization between Markdown-based project artifacts and live repository states.
Which personas benefit most from these technical capabilities?▼
Software engineers, technical leads, and project managers benefit from these capabilities. They are designed for teams requiring rigorous documentation standards, structured design decision tracking, and consistent maintenance of project roadmaps within GitHub-centric environments.
What are the primary prerequisites for integrating these capabilities?▼
Integration requires a repository utilizing GitHub for issue and pull request management. Projects should maintain documentation in Markdown format to leverage the refinement, synchronization, and auditing features effectively.