grade-ai-labs/mimas

1

setup-agentic-repository Scaffold the Mimas agent instruction file tree for any repository — AGENTS.md at root, subdomain CONTEXT.md files, an…

grade-ai-labs/mimas

59

2

find-features Discover feature areas in the current repository that are not yet documented under the agent docs `features/` tree (s…

grade-ai-labs/mimas

25

3

document-features Populate `<docs-dir>/features/<slug>.md` for one, several, or every undocumented feature area by dispatching up to 10…

grade-ai-labs/mimas

16

4

review-policy-builder Build and maintain project-specific review policy for `agentic-review` by combining repository docs (`AGENTS.md`, `EN…

grade-ai-labs/mimas

15

5

agentic-review Orchestrate repository-aware code review after `setup-agentic-repository` by deriving module specialists from `AGENTS…

grade-ai-labs/mimas

12

6

grill-me Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of …

grade-ai-labs/mimas

11

7

write-a-prd Create a PRD through user interview, codebase exploration, and module design, then write it to a local markdown file.…

grade-ai-labs/mimas

6

8

write-a-skill Create new agent skills with proper structure, progressive disclosure, and bundled resources. Use when user wants to …

grade-ai-labs/mimas

5

9

review-policy-rule-builder Creates or updates `agentic-review` policy rules in `<docs-dir>/review/policies/global-policy.md` and `module-<slug>.…

grade-ai-labs/mimas

4

10

setup-mimas-template Scaffold the Mimas agent instruction file tree for any repository — AGENTS.md at root, subdomain AGENTS.md files, and…

grade-ai-labs/mimas

3

11

ubiquitous-language Interview the user about the project's domain vocabulary one term at a time, resolving ambiguities and picking canoni…

grade-ai-labs/mimas

3