ThibautBaissac/rails_ai_agents

ThibautBaissac/rails_ai_agents

Command Claude Code

Summarize what happened on the current branch since the developer's last contribution (commits, authors, stats, key changes).

ThibautBaissac/rails_ai_agents

Command Claude Code

Analyzes feature specifications and creates detailed TDD implementation plans with incremental PR breakdown and specialist agent assignments. Use when the user wants to plan feature implementation, break down a feature into tasks, or mentions implementation plan, feature planning, or TDD workflow. WHEN NOT: Writing…

ThibautBaissac/rails_ai_agents

Command Claude Code

Reviews feature specifications for completeness, clarity, and quality. Scores specs, identifies gaps, generates missing Gherkin scenarios, and provides actionable improvement suggestions. Use when the user wants to review a feature spec, validate requirements, or mentions spec review, specification quality, or…

ThibautBaissac/rails_ai_agents

Command Claude Code

Creates or refines feature specifications with Gherkin scenarios, edge cases, and PR breakdown. Use when specifying a new feature, refining a draft spec, writing requirements, or when user mentions feature specification, requirements gathering, user stories, or specification refinement. WHEN NOT: Reviewing existing…

ThibautBaissac/rails_ai_agents

Command Claude Code

Guides Test-Driven Development workflow with Red-Green-Refactor cycle. Use when the user wants to implement a feature using TDD, write tests first, follow test-driven practices, or mentions red-green-refactor.

ThibautBaissac/rails_ai_agents

Command Claude Code

Challenges stakeholder requests to identify real needs and propose optimal solutions. Use when receiving vague feature requests, reframing a problem before implementation, or when user mentions problem framing, XY problem, stakeholder request, or solution discovery. WHEN NOT: Well-defined technical tasks with clear…

ThibautBaissac/rails_ai_agents

Command Claude Code

Creates one polished, self-contained HTML artifact from a plan, PRD, roadmap, strategy, migration, rollout, research, operations, or implementation proposal. Use when the user asks for a visual plan explanation, walkthrough, artifact, or presentation.

ThibautBaissac/rails_ai_agents

Command Claude Code

Creates one polished, self-contained HTML artifact that explains a pull request or code change for reviewers, maintainers, product partners, and stakeholders.

ThibautBaissac/rails_ai_agents

Command Claude Code

Transforms vague or unstructured prompts into specific, actionable Claude Code prompts with clear objectives, constraints, and verification steps. Use when the user has a rough idea and wants a better prompt before running it, wants to optimize prompt quality, or mentions prompt improvement or prompt rewriting. WHEN…

ThibautBaissac/rails_ai_agents

Command Claude Code

Creates one polished, self-contained HTML artifact from review findings, audit notes, PR feedback, code review output, security review notes, design review notes, QA reports, or implementation assessments.

ThibautBaissac/rails_ai_agents

Command Claude Code

Execute a small change by processing all tasks sequentially from tasks.md — no subagents, no hooks, no checklists.

ThibautBaissac/rails_ai_agents

Command Claude Code

Create a lightweight change specification for bug fixes and small features — skips the full SDD ceremony.

ThibautBaissac/rails_ai_agents

Command Claude Code

Generate a flat task list (3-8 tasks) for a small change based on the change spec.

ThibautBaissac/rails_ai_agents

Command Claude Code

Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.

ThibautBaissac/rails_ai_agents

Command Claude Code

Generate a custom checklist for the current feature based on user requirements.

ThibautBaissac/rails_ai_agents

Command Claude Code

Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.

ThibautBaissac/rails_ai_agents

Command Claude Code

Create or update the project constitution from interactive or provided principle inputs, ensuring all dependent templates stay in sync.

ThibautBaissac/rails_ai_agents

Command Claude Code

Execute the implementation plan by delegating each task in tasks.md to the matching specialist agent (model-agent, service-agent, rspec-agent, ...) in a fresh context, orchestrated phase-by-phase. Use /sdd:implement for inline single-context execution instead.

ThibautBaissac/rails_ai_agents

Command Claude Code

Execute the implementation planning workflow using the plan template to generate design artifacts.

ThibautBaissac/rails_ai_agents

Command Claude Code

Adversarial review of the feature spec from security, performance, edge-case, scalability, and regulatory perspectives to catch blind spots before planning.

ThibautBaissac/rails_ai_agents

Command Claude Code

Validate that the codebase implements what the feature spec promises using a 4-layer hybrid analysis — no code annotations required.

ThibautBaissac/rails_ai_agents

Command Claude Code

Launch a background agent in an isolated worktree to fix a Sentry error.

ThibautBaissac/rails_ai_agents

Command Claude Code

List all active Sentry fix branches and their status.

ThibautBaissac/rails_ai_agents

Command Claude Code

Check for new Sentry production errors and propose fixes.