context-prime

To orient on a project at session start, this skill loads structured context from README, configuration files, docs, and git state to provide a concise summary of the project's current state.

Loading project context when resuming work after a gap is handled by reading recent decisions, plan states, and changelogs to emit a structured summary for downstream tasks and memory layers.

Loading workflow and memory state from a known repository involves scanning specific files like README.md, package.json, and .cursor/plans/workflow_state.md, alongside memory MCPs, to surface current context.

Yes, you can use this skill with Python, Rust, or Go projects because it reads project identity and tooling from configuration files like pyproject.toml, Cargo.toml, and go.mod.

Yes, this context priming skill works without external dependencies because it operates by reading existing project files and emitting a structured context summary for downstream tools.

The context summary should include recent git changes by checking recent modifications during the scan; if missing, ensure your repository has recent commits and documentation available for the skill to scan.