nicholaspsmith/Glancey

MCP plugin for semantic code search - gives AI coding agents deep context from your entire codebase

This repository also configures its own agents. See what Glancey tells them →

1Stars on the repository
54Mods indexed here, across every type
1mo agoLast push, which is what freshness is scored on
MITLicence, which decides whether bodies are shown

agents

01

nicholaspsmith/Glancey

Command Claude Code

Launch parallel Claude Code agents, each working autonomously on tasks in their own git worktrees.

not rated 1 1mo ago A 20 tokens original MIT

nicholaspsmith/Glancey

Command Claude Code

Critical validation workflow that assesses PRD, Architecture, and Epics & Stories for completeness and alignment before implementation. Uses adversarial review approach to find gaps and issues.

not rated 1 1mo ago A 33 tokens copy · 100% MIT

code-review

03

nicholaspsmith/Glancey

Command Claude Code

Perform an ADVERSARIAL Senior Developer code review that finds 3-10 specific problems in every story. Challenges everything: code quality, test coverage, architecture compliance, security, performance. NEVER accepts looks good - must find minimum issues and can auto-fix with user approval.

not rated 1 1mo ago A 58 tokens copy · 100% MIT

correct-course

04

nicholaspsmith/Glancey

Command Claude Code

Navigate significant changes during sprint execution by analyzing impact, proposing solutions, and routing for implementation.

not rated 1 1mo ago A 17 tokens copy · 100% MIT

create-architecture

05

nicholaspsmith/Glancey

Command Claude Code

Collaborative architectural decision facilitation for AI-agent consistency. Replaces template-driven architecture with intelligent, adaptive conversation that produces a decision-focused architecture document optimized for preventing agent conflicts.

not rated 1 1mo ago A 34 tokens copy · 100% MIT

nicholaspsmith/Glancey

Command Claude Code

Transform PRD requirements and Architecture decisions into comprehensive stories organized by user value. This workflow requires completed PRD + Architecture documents (UX recommended if UI exists) and breaks down requirements into implementation-ready epics and user stories that incorporate all available technical…

not rated 1 1mo ago A 65 tokens copy · 100% MIT

nicholaspsmith/Glancey

Command Claude Code

Create system architecture diagrams, ERDs, UML diagrams, or general technical diagrams in Excalidraw format.

not rated 1 1mo ago A 21 tokens copy · 83% MIT

create-prd

11

nicholaspsmith/Glancey

Command Claude Code

Creates a comprehensive PRD through collaborative step-by-step discovery between two product managers working as peers.

not rated 1 1mo ago A 19 tokens copy · 100% MIT

nicholaspsmith/Glancey

Command Claude Code

Create comprehensive product briefs through collaborative step-by-step discovery as creative Business Analyst working with the user as peers.

not rated 1 1mo ago A 21 tokens copy · 100% MIT

create-story

13

nicholaspsmith/Glancey

Command Claude Code

Create the next user story from epics+stories with enhanced context analysis and direct ready-for-dev marking.

not rated 1 1mo ago A 20 tokens copy · 83% MIT

create-tech-spec

14

nicholaspsmith/Glancey

Command Claude Code

Conversational spec engineering - ask questions, investigate code, produce implementation-ready tech-spec.

not rated 1 1mo ago A 17 tokens original MIT

create-ux-design

15

nicholaspsmith/Glancey

Command Claude Code

Work with a peer UX Design expert to plan your applications UX patterns, look and feel.

not rated 1 1mo ago A 18 tokens copy · 100% MIT

dev-story

16

nicholaspsmith/Glancey

Command Claude Code

Execute a story by implementing tasks/subtasks, writing tests, validating, and updating the story file per acceptance criteria.

not rated 1 1mo ago A 22 tokens copy · 100% MIT

document-project

17

nicholaspsmith/Glancey

Command Claude Code

Analyzes and documents brownfield projects by scanning codebase, architecture, and patterns to create comprehensive reference documentation for AI-assisted development.

not rated 1 1mo ago A 25 tokens copy · 80% MIT

nicholaspsmith/Glancey

Command Claude Code

Creates a concise project-context.md file with critical rules and patterns that AI agents must follow when implementing code. Optimized for LLM context efficiency.

not rated 1 1mo ago A 29 tokens copy · 100% MIT

quick-dev

19

nicholaspsmith/Glancey

Command Claude Code

Flexible development - execute tech-specs OR direct instructions with optional planning.

not rated 1 1mo ago A 14 tokens copy · 83% MIT

research

20

nicholaspsmith/Glancey

Command Claude Code

Conduct comprehensive research across multiple domains using current web data and verified sources - Market, Technical, Domain and other research types.

not rated 1 1mo ago A 24 tokens copy · 100% MIT

retrospective

21

nicholaspsmith/Glancey

Command Claude Code

Run after epic completion to review overall success, extract lessons learned, and explore if new information emerged that might impact the next epic.

not rated 1 1mo ago A 25 tokens copy · 86% MIT

sprint-planning

22

nicholaspsmith/Glancey

Command Claude Code

Generate and manage the sprint status tracking file for Phase 4 implementation, extracting all epics and stories from epic files and tracking their status through the development lifecycle.

not rated 1 1mo ago A 31 tokens copy · 73% MIT

sprint-status

23

nicholaspsmith/Glancey

Command Claude Code

Summarize sprint-status.yaml, surface risks, and route to the right implementation workflow.

not rated 1 1mo ago A 18 tokens copy · 78% MIT

testarch-atdd

24

nicholaspsmith/Glancey

Command Claude Code

Generate failing acceptance tests before implementation using TDD red-green-refactor cycle.

not rated 1 1mo ago A 14 tokens copy · 83% MIT

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