pjwang2022/Monstrare

Monstrare — a gate-based workflow layer for AI coding agents. Every non-trivial change is spec'd, planned, verified, and reviewed before it ships — nothing is called done without evidence.

84Stars on the repository
15Mods indexed here, across every type
1mo agoLast push, which is what freshness is scored on
MITLicence, which decides whether bodies are shown

design-craft

01

pjwang2022/Monstrare

Skill Claude CodeCodex

A set of visual design rules for building and reviewing user interfaces, covering typography, spacing, colours, and comparison with reference projects.

not rated 84 +1 1mo ago A 84 tokens original MIT

implementation-plan

02

pjwang2022/Monstrare

Skill Claude CodeCodex

A planning tool that turns an approved software specification into architecture notes and small task cards for an AI coding assistant. Each task includes limits and checks for confirming the result.

not rated 84 +1 1mo ago A 38 tokens original MIT

project-kickoff

03

pjwang2022/Monstrare

Skill Claude CodeCodex

A workflow for creating a new project’s work list in layers: large deliverables, user stories, and individual tasks. Each layer is reviewed by a person before being added to a project-management board.

not rated 84 +1 1mo ago A 41 tokens original MIT

project-search

04

pjwang2022/Monstrare

Skill Claude CodeCodex

A skill for searching a code repository with a small number of targeted searches and assembling task-specific context. It can also update a lasting map of the project when needed.

not rated 84 +1 1mo ago A 39 tokens original MIT

pjwang2022/Monstrare

Skill Claude CodeCodex

A review procedure for checking plans or code changes for correctness, security, privacy, maintainability, and architectural consistency.

not rated 84 +1 1mo ago A 57 tokens original MIT

spec-interrogation

06

pjwang2022/Monstrare

Skill Claude CodeCodex

A requirements-review workflow that turns vague feature requests into a written specification. The specification lists requirements, exclusions, edge cases, and acceptance criteria for human review.

not rated 84 +1 1mo ago A 47 tokens original MIT

test-verification

07

pjwang2022/Monstrare

Skill Claude CodeCodex

A skill for planning, running, and collecting evidence from software checks. It covers tests, builds, lint checks, security checks, and UI screenshots.

not rated 84 +1 1mo ago A 48 tokens original MIT

ui-mockup-gate

08

pjwang2022/Monstrare

Skill Claude CodeCodex

A review gate that creates several UI mockup variations and a document describing screen states before implementation. It then pauses for a person to choose a direction.

not rated 84 +1 1mo ago A 42 tokens original MIT

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