Define the four-pillar PARA workspace structure and v1.6.3 project.md schema.
npx skills add https://github.com/pageel/para-workspace --skill para-kit
Please help me install this Agent Skill. Skill: PARA Kit Source: https://github.com/pageel/para-workspace/tree/main/templates/common/agents/skills/para-kit Command: npx skills add https://github.com/pageel/para-workspace --skill para-kit
PARA Kit helps you standardize a PARA workspace so both humans and AI agents can reliably understand project layout, read the right authority files, and follow kernel governance constraints without ambiguity.
Use PARA Kit when you need to structure or audit a PARA workspace by asking the AI to validate a project.md and explain what files and rules the kernel expects.
High-intent search queries and answers about installing and using this skill.
To structure a PARA workspace for AI agents, implement the four-pillar directory model (Projects, Areas, Resources, Archive) alongside standard project folder anatomy for sessions, artifacts, and agent rule hooks. This ensures agents reliably understand project layout and read correct authority files.
The project.md frontmatter contract defines v1.6.3 YAML fields specifying how agent rules and skills flags are represented. This schema standardizes project metadata so both humans and AI agents can load context and follow kernel governance constraints without ambiguity.
You need kernel governance constraints during planning and agent context loading to guarantee predictable runtime behavior. Kernel invariants define what must never be violated, while heuristics guide safe, consistent operations when agents interact with your workspace.
Yes, you can use deterministic CLI commands for straightforward workspace auditing tasks, while agent workflows handle multi-step reasoning. The selection strategy clarifies when to choose deterministic execution versus agent-driven parsing for optimal results.
PARA Kit operates without external dependencies, providing a self-contained reference for workspace scaffolding and governance. It supplies the canonical structure and rules needed to organize projects consistently without requiring additional packages.
The best way to validate a project.md schema is to ask the AI to check your file against the v1.6.3 frontmatter contract and explain what files and rules the kernel expects. This audits compliance with kernel-invariant constraints for predictable behavior.
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