Coordinate research projects through proposal, scaffolding, and augmentation workflows.
npx skills add https://github.com/smanist/a-exp --skill project-smanist
Please help me install this Agent Skill. Skill: project Source: https://github.com/smanist/a-exp/tree/main/.agents/skills/project Command: npx skills add https://github.com/smanist/a-exp --skill project-smanist
This skill standardizes the lifecycle of research projects by enabling formal proposals, structured scaffolding, and scope augmentations, ensuring governance, traceability, and reproducibility across efforts.
Instruct the agent to run /project scaffold to create a new project or /project propose to generate a proposal.
High-intent search queries and answers about installing and using this skill.
You can scaffold a research project by running the interactive setup mode to define an immutable mission and generate structural plans. This creates a standardized project structure ensuring governance, traceability, and reproducibility across your research efforts.
The best way to manage governance and scope augmentation is using the interactive augmentation mode to expand existing project scopes. It enforces evidence-based decisions by requiring explicit scope checks and citations before activation, maintaining structured lifecycle governance.
Yes, you can generate a formal research proposal automatically using the agent-initiated proposal mode. This mode performs gap analysis and creates formal proposals while integrating with repository conventions, memory, and plan scaffolding for consistent execution.
Yes, the project lifecycle workflow requires citations and explicit scope checks before activating a proposal. This evidence-based decision-making requirement ensures that all agent-driven proposals and human-initiated scaffolds maintain strict governance and reproducibility standards.
Research project coordination integrates with repository conventions through the AGENTS.md file. It leverages memory integration, tasks and plans generation, and module/registry interactions as defined in your repository to ensure consistent execution across multiple projects.
MichielDeanIdentifies repository stack, conventions, and quality gates for future sessions.
TenureAIGenerate execution-ready research plans with experiments and expected outcomes.
LinkDryGenerate canonical experiment-plan.md documents and update related project state files.
royhenengelGenerate spec-driven implementation plans for software development tasks.
