claude

shinpr-claude-code-workflows

Production-ready development workflows for Claude Code powered by specialized AI agents for common development tasks.

0 on GitHubupdated 6 months agocode_general
/

Plugin shinpr-claude-code-workflows from marketplace cascade-code-general-misc-1 in joshuarweaver/cascade-code-general-misc-1. Commands read from the repo's manifest — 1 month ago.

What it installs

Skills (30)

  • ai-development-guide

    Applies language-agnostic and backend technical decision criteria, anti-pattern detection, debugging, and quality gates. Use when reviewing general/backend implementation choices, code smells, failures, or implementation completeness.

  • coding-principles

    Language-agnostic coding principles for maintainability, readability, and quality. Use when implementing features, refactoring code, or reviewing code quality.

  • documentation-criteria

    Determines which of PRD, ADR, UI Spec, Design Doc, and Work Plan a change requires, and where each is stored. Use when deciding documentation scope, or when creating or reviewing a technical document.

  • external-resource-context

    Records where resources outside the repository live (design source, design system, API schema, IaC source, secret store) and how design, implementation, and verification reach them. Use when work depends on an external resource, or when the user mentions design source, design system, API schema, IaC

  • frontend-ai-guide

    Applies React/TypeScript-specific technical decision criteria, anti-pattern detection, debugging, and frontend quality gates. Use when reviewing components, hooks, browser behavior, or frontend implementation completeness.

  • implementation-approach

    Implementation strategy selection framework. Use when planning implementation strategy, selecting development approach, or defining verification criteria.

  • integration-e2e-testing

    Integration and E2E test design principles, ROI calculation, test skeleton specification, and review criteria. Use when designing integration tests, E2E tests, or reviewing test quality.

  • llm-friendly-context

    Clarifies inputs, outputs, success criteria, decisions, and unresolved conditions so downstream consumers can execute without guessing. Use when writing or revising LLM-facing prompts, handoffs, planning artifacts, reviews, reports, or generated instructions.

  • requirement-convergence

    Separates the outcome a change must produce from the requirements proposed to reach it, records what the user excluded, and bands cost from structure. Use when a requirement enters a workflow, before design begins.

  • test-implement

    Implements React/TypeScript unit, integration, and browser E2E tests with the repository's configured runner, mocks, setup, and browser harness. Use when creating or completing frontend tests and generated test skeletons.

  • testing-principles

    Language-agnostic testing principles including TDD, test quality, coverage standards, and test design patterns. Use when writing tests, designing test strategies, or reviewing test quality.

  • typescript-rules

    React/TypeScript frontend development rules including type safety, component design, state management, and error handling. Use when implementing React components, TypeScript code, or frontend features.

  • recipe-diagnose

    Investigate problem, verify findings, and derive solutions

  • recipe-front-adjust

    Adjust an already-implemented UI in-session with verification against the design source

  • recipe-front-build

    Execute materialized frontend task files in autonomous execution mode

  • recipe-front-design

    Execute from repository evidence through applicable UI Spec and optional ADR decisions to complete frontend Design Doc approval

  • recipe-front-plan

    Create frontend work plan from design document and obtain plan approval

  • recipe-front-review

    Reviews completed frontend implementation for governing-source compliance, scope economy, repository quality, and security, then applies user-approved React corrections.

  • recipe-quality-profile

    Proposes repository-specific quality policy for implementation and review and, after confirmation, creates or updates docs/project-context/quality.yaml. Use when asked to create or update a repository quality profile.

  • recipe-update-doc

    Update existing design documents (Design Doc / PRD / ADR) with review

  • subagents-orchestration-guide

    Guides subagent coordination through implementation workflows. Use when orchestrating multiple agents, managing workflow phases, or determining autonomous execution mode.

  • recipe-add-integration-tests

    Add integration/E2E tests to existing codebase using Design Docs

  • recipe-build

    Execute materialized task files in autonomous execution mode

  • recipe-design

    Execute from codebase-scoped analysis through optional ADR decisions to complete Design Doc approval

  • recipe-fullstack-build

    Execute materialized fullstack task files with layer-aware agent routing

  • recipe-fullstack-implement

    Orchestrate full-cycle implementation across backend and frontend layers

  • recipe-implement

    Orchestrate the complete implementation lifecycle from requirements to deployment

  • recipe-plan

    Create work plan from design document and obtain plan approval

  • recipe-reverse-engineer

    Generate PRD and Design Docs from existing codebase through discovery, generation, verification, and review workflow

  • recipe-review

Subagents (24)

  • acceptance-test-generator

    Generates integration/E2E test skeletons from Design Doc ACs using ROI-based selection and journey-based E2E reservation. Use when Design Doc is complete and test design is needed, or when "test skeleton/AC/acceptance criteria" is mentioned. Behavior-first approach for minimal tests with maximum cov

  • code-reviewer

    Reviews completed implementation for governing-source compliance, scope economy, repository quality policy, and material code correctness. Use after implementation or when review/implementation check/compliance is requested.

  • code-verifier

    Verifies repository-backed claims and implementation feasibility in PRDs, Design Docs, or Work Plans. Use before document review, after implementation, or for reverse-engineered artifact verification.

  • codebase-analyzer

    Collects compact repository evidence for scope confirmation, technical option selection, complete design, and verification. Use before Design Doc creation when repository facts can change scope, reuse, contracts, cost, or proof.

  • design-sync

    Detects conflicts across multiple Design Docs and provides structured reports. Use when multiple Design Docs exist, or when "consistency/conflict/sync/between documents" is mentioned. Focuses on detection and reporting only, no modifications.

  • document-reviewer

    Reviews one document or one ADR batch against governing requirements, repository evidence, and the needs of its next consumer. Use before user approval or when document consistency and completeness need verification.

  • integration-test-reviewer

    Reviews changed integration and E2E tests against skeletons, proof obligations, or explicit prompt claims. Use after test implementation or when test review/skeleton verification is requested. Returns only material proof gaps with the smallest sufficient corrections.

  • investigator

    Comprehensively collects problem-related information and creates evidence matrix. Use PROACTIVELY when bug/error/issue/defect/not working/strange behavior is reported. Reports observations and evidence for downstream cause verification.

  • prd-creator

    Creates PRD and structures business requirements. Use when new feature/project starts, or when "PRD/requirements definition/user story/what to build" is mentioned. Defines user value and success metrics.

  • quality-fixer-frontend

    Specialized agent for verifying React projects and fixing frontend quality failures within the current task scope. Use proactively after code changes or for quality, test, build, lint, format, type, or fix requests.

  • quality-fixer

    Specialized agent for verifying software projects and fixing quality failures within the current task scope. Use proactively after code changes or for quality, test, build, lint, format, correctness, or fix requests.

  • requirement-analyzer

    Collects compact repository scope and cost evidence for requirement confirmation while the user retains product requirements and exclusions and the orchestrator owns comparison, Structural Scale, and document routing. Use when new requirements, scope, or implementation extent must be confirmed.

  • scope-discoverer

    Discovers functional scope from existing codebase for reverse documentation. Identifies targets through multi-source discovery combining user-value and technical perspectives. Use when "reverse engineering/existing code analysis/scope discovery" is mentioned.

  • security-reviewer

    Reviews completed implementation against governing security requirements and the reachable trust model. Use after implementation or when security review/security check/vulnerability check is requested. Returns only must-fix findings with the smallest sufficient corrections.

  • solver

    Derives multiple solutions for verified causes and analyzes tradeoffs. Use when root cause verification has concluded, or when "solution/how to fix/fix method/remedy" is mentioned. Focuses on solutions from given conclusions without investigation.

  • task-decomposer

    Converts each approved Work Plan task into one executable implementation task file. Use when work plans are approved and task materialization is needed.

  • task-executor-frontend

    Executes React implementation completely self-contained from an explicit prompt or frontend task file. Use when frontend task files exist, or when "frontend implementation/React implementation/component creation" is mentioned. Asks no questions, executes consistently from investigation to implementa

  • task-executor

    Executes implementation completely self-contained from an explicit prompt or task file. Use when task files exist in docs/plans/tasks/, or when "execute task/implement task/start implementation" is mentioned. Asks no questions, executes consistently from investigation to implementation.

  • technical-designer-frontend

    Creates a scoped frontend ADR batch or one Design Doc from confirmed UI requirements and decision-relevant repository evidence. Use when frontend technical choices or implementation design need an approved artifact.

  • technical-designer

    Creates a scoped ADR batch or one backend/general Design Doc from confirmed requirements and decision-relevant repository evidence. Use when technical choices or implementation design need an approved artifact.

  • ui-analyzer

    Gathers decision-relevant UI facts from recorded external resources and the existing codebase. Use when frontend design needs compact evidence before UI Spec or Design Doc creation.

  • ui-spec-designer

    Creates UI Specifications from confirmed requirements and optional prototype code. Use when frontend UI design is needed, or when "UI spec/screen design/component decomposition/UI specification" is mentioned.

  • verifier

    Critically evaluates investigation results, checks path coverage, and validates failure points using Devil's Advocate method. Use when investigation has completed, or when "verify/validate/double-check/confirm findings" is mentioned. Focuses on verification and conclusion derivation.

  • work-planner

    Creates implementation-focused work plans from approved Design Docs. Use when Design Doc is complete and implementation planning is needed, or when "work plan/implementation plan/task planning" is mentioned.

View source on GitHub

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