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By danielscholl
Automate end-to-end SDLC workflows in GitHub/GitLab repos using slash commands and agents: generate detailed specs/test plans, manage git branches/commits/PRs, implement features via TDD, resolve review comments, perform performance/architecture analysis, and handle setup/testing.
npx claudepluginhub danielscholl/claude-sdlc --plugin sdlcMeta Prompt for creating git branches
Create detailed bug fix specifications with deep codebase analysis
Create detailed specifications for maintenance tasks and codebase improvements
Meta Prompt for making commits
Create detailed implementation specs for new features with deep codebase analysis
Use proactively for architectural review of code changes, system design decisions, and component boundary validation. Analyzes pull requests, refactoring efforts, and new features for architectural compliance and design pattern adherence. Not for performance analysis or test creation.
Use after implementing features or when performance concerns arise. Analyzes algorithmic complexity, database queries, memory usage, caching opportunities, and scalability. Identifies bottlenecks before they become production issues. Not for architectural review or test creation.
Use to address PR review comments by implementing requested changes and reporting resolutions. Handles the full workflow of understanding comments, making fixes, posting replies, and resolving threads. Not for creating PRs, architectural review, or performance analysis.
Uses power tools
Uses Bash, Write, or Edit tools
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Sign in to claimBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Create and maintain GitHub Copilot CLI plugins — skills, agents, prompts, instructions, and MCP servers with authoritative spec references and templates
AI-powered agents for specialized development tasks
Plugin de ingeniería de software completa: 10 agentes de núcleo y 9 opcionales con personalidad propia, memoria persistente por proyecto, quality gates y flujos automatizados desde la idea hasta producción.
Persona-driven AI development team: orchestrator, team agents, review agents, skills, slash commands, and advisory hooks for Claude Code
AI-First SDLC — zero-debt development with validators, enforcement, and workflows
Implementation planning, execution, and PR creation workflows with multi-agent collaboration
DOCX creation, editing, and redlining with tracked changes and OOXML validation
Four-layer test framework for Claude Code plugin skills — structure validation, trigger accuracy, session testing, and skill value comparison
Branded presentation and carousel generation with brand voice system
Excalidraw diagram creator with visual argument methodology and PNG render pipeline
Gas Town SDLC — brief → design → plan pipeline that turns ideas into Gas Town beads (bd create commands + dependency graph)
A plugin marketplace for Claude Code spanning software development lifecycle automation, Gas Town bead-plan workflows, content generation (presentations, diagrams, documents), AI plugin testing, Copilot CLI development, and multi-agent team bootstrapping.
# Add the marketplace to Claude Code
/plugin marketplace add https://github.com/danielscholl/claude-sdlc
# Install any plugin
/plugin install sdlc
/plugin install gt-sdlc
/plugin install skilltest
/plugin install copilot
/plugin install cadre
/plugin install presentations
/plugin install excalidraw
/plugin install docx
Software development lifecycle automation with slash commands, specialized agents, and GitHub/GitLab webhook watchers.
Commands:
| Command | Description |
|---|---|
/sdlc:prime | Analyze and understand the codebase |
/sdlc:feature [description] | Create a feature specification with deep codebase analysis |
/sdlc:bug [description] | Create a bug fix specification |
/sdlc:chore [description] | Create a maintenance task specification |
/sdlc:implement [spec-file] | Implement a specification with structured task tracking |
/sdlc:tdd [description] | Implement using strict Test-Driven Development |
/sdlc:branch [spec-file] | Create a git branch from a specification |
/sdlc:commit [spec-file] | Commit changes |
/sdlc:pull_request [spec-file] | Create a pull request |
/sdlc:pr_resolve [PR-number] | Resolve PR review comments in parallel |
/sdlc:test_plan [module] | Analyze tests and create test documentation |
/sdlc:locate [spec-file] | Locate specification files |
/sdlc:install | Install dependencies and run setup scripts |
Agents:
| Agent | Purpose | Tools |
|---|---|---|
architecture-strategist | Architectural review of code changes, design decisions, component boundaries | Read, Glob, Grep, Bash |
performance-oracle | Algorithmic complexity, database queries, memory usage, caching, scalability | Read, Glob, Grep, Bash |
pr-comment-resolver | Address PR review comments, implement fixes, post replies, resolve threads | Read, Edit, Write, Glob, Grep, Bash |
All agents run on Sonnet for cost-efficient delegation.
Four-layer test framework for validating Claude Code plugin skills remain well-maintained and purposeful.
Command: /skilltest:test-framework
Skill: test-framework — Validates plugin structure, tests trigger accuracy of skill descriptions, runs multi-turn session scenarios, and compares skill value (with vs without).
Testing Layers:
| Layer | What it Tests | Speed |
|---|---|---|
| L1 Structure | Plugin spec compliance, naming, cross-references | ~0.1s |
| L2 Triggers | Skill description accuracy (precision/recall) | ~30s/query |
| L3 Sessions | Multi-turn routing, context handling, boundaries | 2-3 min |
| L4 Value | Does the skill actually help? (with vs without) | 5+ min |
Create and maintain GitHub Copilot CLI plugins with authoritative spec references and templates.
Command: /copilot:copilot-plugin
Skill: copilot-plugin — Builds Copilot CLI plugin components: skills, agents, prompts, custom instructions, path-specific instructions, AGENTS.md routing, MCP servers, and hooks.
Includes reference specs for all Copilot CLI conventions, comparison matrices, a writing guide, and output templates.
Multi-agent team bootstrapper that analyzes your codebase and generates tailored agent teams via AI debate.
Command: /cadre:init
Skill: init — Analyzes project structure, runs an AI debate to determine optimal team composition, and generates .claude/agents/*.md files, config, and routing rules. Handles both existing projects and greenfield bootstrapping.
Branded presentation and LinkedIn carousel generation with a brand voice system and reusable slide layouts.
Skills:
| Skill | Purpose |
|---|---|
pptx-generator | Generate and edit PPTX slides, LinkedIn carousels, and reusable slide layouts |
brand-voice-generator | Create tone-of-voice and brand-system files consumed by pptx-generator |
Create .excalidraw diagram JSON files that make visual arguments — workflows, architectures, concepts.
Skill: excalidraw-diagram — Generates Excalidraw JSON with a visual-argument methodology and PNG render pipeline (requires Chromium via Playwright for rendering).
Comprehensive DOCX document creation, editing, and analysis with tracked changes and comment support.
Skill: docx — Create new documents, modify content, work with tracked changes, add comments, extract text, and handle OOXML validation.