Private Claude Code plugins for the AI Platform Optimization team.

Adding the marketplace registers this repo as a plugin source. Plugins are then installed individually — install whichever ones you need.

# 1. Add marketplace (one-time)
/plugin marketplace add https://github.com/inference-sim/sdlc-plugins

# 2. Install plugins (pick what you need)
/plugin install research-ideas@sdlc-plugins
/plugin install hypothesis-test@sdlc-plugins

To enable automatic plugin updates when new versions are released, go to /plugin > Marketplaces > sdlc-plugins and enable auto-update

# Install individual plugins
/plugin install research-ideas@sdlc-plugins
/plugin install hypothesis-test@sdlc-plugins

# Update all installed plugins to latest versions
/plugin marketplace update sdlc-plugins

# Remove a plugin
/plugin uninstall research-ideas@sdlc-plugins
/plugin uninstall hypothesis-test@sdlc-plugins

Generates research ideas with multi-model AI review (Claude, GPT-4o, Gemini).

/research-ideas

Features:

• Guided workflow - step-by-step configuration for problem, background, judges
• Multi-source context - gather background from repos, papers, and web search
• Parallel processing - background agents fetch context simultaneously
• Configurable judges - choose which AI models review your ideas
• Progress dashboard - visual task tracking throughout the process

Just run the command and let it guide you. The plugin will:

1. Help you create or locate a problem statement
2. Gather background from multiple sources (repos, papers, web)
3. Configure review judges (3 models by default)
4. Generate iteratively-reviewed ideas with visual progress tracking

Outputs a single research.md with problem, background, all ideas, reviews, and executive summary.

Create a problem.md file in your project directory. Some questions you can consider to help drive the problem statement:

• Briefly describe the background and motivation
• State what is needed to be solved
• Any limitations or requirements
• How will you define success?

Need help articulating your problem? Use the brainstorming superpower:

/superpowers:brainstorm brainstorm problem statements for the /research-ideas skill

This will help you explore and refine your problem statement before generating research ideas.

Guided hypothesis-driven experimentation with auto-analysis.

/hypothesis-test

Features:

• 6-screen guided flow - project setup, hypothesis generation, selection, experiment design, testing, commit
• Parallel hypothesis generation - background agents generate all hypotheses simultaneously
• Parallel experiment scaffolding & testing - each hypothesis gets its own background agent
• Batch approval - review all experiment designs at once before any tests run
• Auto-analysis - experiments run, analyze results, and determine verdicts automatically

Just run the command and it will:

1. Ask you to pick a project, focus area, and hypothesis count
2. Generate hypotheses in parallel (background agents scan the project for untested behaviors)
3. Let you select which hypotheses to test and execution mode (parallel/sequential)
4. Scaffold experiments, present designs for batch approval
5. Run approved experiments and document findings with verdicts (Confirmed/Refuted/Inconclusive/Failed)
6. Optionally commit all results to git

Outputs per-hypothesis directories under hypotheses/ with HYPOTHESIS.md, run.sh, analyze.py, and FINDINGS.md, plus a hypotheses/README.md catalog.

For private repo access, use SSH keys or set GITHUB_TOKEN:

export GITHUB_TOKEN=$(gh auth token)

See example output here.

See CONTRIBUTING.md for plugin development.