Product & Planning

Guides a structured interview and repository research to clarify feature requirements, classify scope, and produce context artifacts for approval before design.

Generates a structured Product Requirements Document (PRD) for a new feature, including clarifying questions, user stories, functional requirements, and success metrics.

Converts existing PRDs into the prd.json format used by the Ralph autonomous agent system, including splitting large features into right-sized stories and creating a progress file.

Decompose large user stories into thin, independently deliverable vertical slices using the SPIDR method (Spike, Path, Interface, Data, Rules).

Clarifies ambiguous or conflicting requests by researching first, then asking only judgment calls. Use when prompts say "grill me", ask hard questions, request relentless interrogation, pressure-test assumptions, clarify scope/requirements, define success criteria, or request system-design/optimization decisions.

Writes user-focused acceptance criteria for Jira stories using Given/When/Then scenarios, and updates the ticket via the Atlassian MCP server.

Mines a codebase for evidence-backed improvement opportunities, forcing two escalation gates to surface breakthrough ideas, and outputs a ranked portfolio with a plan seed without implementing.

Reviews development plans for gaps, hidden assumptions, critical misses, and XP violations, then presents prioritized findings for confirmation.

Routes product-discovery work into the right stage — opportunity brief, research, PRD, tickets, or outcome review — and hands off to the matching sub-skill.

Runs a structured product-discovery interview and publishes a two-page Opportunity Brief to Confluence, covering business objective, customer, problem, success metric, alternatives, assumptions, and open questions.

Audits any movemental.com page across UI, content, architecture, UX, and conversion, then writes a markdown report and a standalone fix prompt.

Audits and improves course player UX against LMS best practices, covering layout proportions, progressive disclosure, progress psychology, sidebar hierarchy, video sizing, light/dark harmony, sidebar naming, cohort pacing, and AI integration points.

Registers an AI agent on the ClawSwarm hub, generates an identity card, and emits OADP discovery signals for cross-platform findability.

Narrates a demo video for Loki Mode, a multi-agent autonomous startup system for Claude Code, covering setup, phases, and features.

Analyzes requirements and produces four artifact files: requirements.md, user-stories.md, acceptance-criteria.md, and business-rules.md, with optional loading from SRS workflow artifacts.

Reads BA and TechLead artifacts to produce a sprint plan, task breakdown, and story point estimates, creating one tracked todo per sprint task for live pipeline tracking.

Creates a machine-readable phased JSON plan bundle from a spec or feature description, producing a compact master manifest plus per-phase step files for resumable execution.

Guides a structured brainstorm that surfaces user ideas, explores directions, and produces a spec and report for later planning.

Generates an IEEE 830 software requirements specification from raw client input, guiding users through structured clarification rounds and producing a compliant document.

Generates e-commerce product catalog images from raw photos, including packshots, cutouts, dimensions images, lifestyle scenes, and marketplace variants for Amazon, Shopify, and Etsy.

Plan, implement, and optimize App Clips for instant app experiences, covering technical setup, App Store configuration, and conversion measurement.

Generate a structured specification document before writing implementation code, validating scope, drafting specs, and registering them in the project.

Synthesizes the current conversation and codebase context into a structured PRD and publishes it to the project issue tracker with a triage label.

Triage issues through a state machine driven by triage roles, including gathering context, recommending actions, and applying outcomes.

Builds a throwaway prototype to answer a design question, choosing between a runnable terminal app for logic/state questions or multiple UI variations switchable from one route.

Breaks a plan, spec, or PRD into independently-grabbable issues using tracer-bullet vertical slices, then publishes them to the project issue tracker.

Creates 2D drawings and 3D models of mechanical parts, generates technical documentation and manufacturing files, and supports assembly design and parametric modeling.

Controls Bluesound/NAD players via the blu CLI, covering discovery, playback, grouping, volume, and TuneIn search.

Triage issues through a state machine driven by triage roles. Use when user wants to create an issue, triage issues, review incoming bugs or feature requests, prepare issues for an AFK agent, or manage issue workflow.

Turns the current conversation context and codebase understanding into a PRD and publishes it to the project issue tracker with a triage label.

Interviews the user about a plan or design, resolving each branch of the decision tree one question at a time until reaching shared understanding.

Extracts and formalizes domain terminology from a conversation into a consistent glossary saved to a local file.

Configures a repository's issue tracker, triage labels, and domain documentation so engineering skills can operate correctly.

Runs a structured interview that stress-tests a plan against the project's domain model, sharpens terminology, and updates CONTEXT.md and ADRs inline as decisions are made.

Runs focused experiments to validate feasibility of an idea, saving artifacts to .planning/spikes/ and supporting both idea and frontier modes.

Turns a one-line objective into a step-by-step construction plan for multi-session, multi-agent engineering projects, with self-contained context briefs, adversarial review, and dependency graphs.