Planning & Product

Creates a professional paid-advertising strategy covering objectives, economics, platform selection, campaign architecture, audiences, budget, creative, measurement, experiments, governance, rollout, and reporting.

Takes a PRD, reference URL, screenshot, or keywords to produce a DESIGN.md specification, then generates production-ready web code that meets UI/UX, visual, motion, and responsive standards.

Creates a detailed, phased implementation plan with documentation discovery and subagent-based fact gathering.

Connects MCP-compatible coding agents to Writingmate for model discovery, text comparison, image generation, and video generation using models like Seedance, Sora, Veo, Kling, and PixVerse.

Install, discover, and wire reusable blocks and components into HyperFrames compositions using the CLI.

Install the rpk CLI on macOS, Linux, or Docker, and configure profiles, connection settings, SASL/TLS credentials, and Enterprise licenses for Redpanda clusters.

Documents Pinterest's design system including color palette, typography, shape geometry, and layout patterns for the home page, search results, and creator marketing surfaces.

Runs a full retrospective and dev cycle analysis, chaining /recall and /new-features to reconstruct what went wrong, extract lessons learned, identify rework patterns, and synthesize feature ideas from the findings.

Clusters a GitHub issue backlog by root cause into plan-master issues, redirects children with a standardized comment, and bundles architectural-fix PRs that close clusters atomically.

Facilitates structured sprint retrospectives, analyzing team feedback and sprint data to generate prioritized, actionable improvement items.

Creates and manages Product Requirements Documents (PRDs) with structured user stories, acceptance criteria, and progress tracking for feature planning.

Access AI-ready drug discovery datasets, benchmarks, and molecular oracles from Therapeutics Data Commons for therapeutic machine learning and pharmacological prediction.

Guides the use of the asc CLI for App Store Connect, covering command discovery, canonical verbs, flags, output formats, authentication, and Apple Ads operations.

Plans sprints, breaks user stories into tasks, and estimates story points from BA and TechLead artifacts, producing sprint plan, task breakdown, and story point files.

Guides strategic product decisions, pricing, backlog prioritization, and trend intelligence, routing tasks to specialized sub-skills.

Builds a strategic SEO plan for new or existing websites, covering competitive analysis, site architecture, content strategy, technical foundation, and a phased implementation roadmap.

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.

Coordinates sprint planning, delivery tracking, experiment management, knowledge management, and changelog governance across project management workflows.

Turns vague features, bug clusters, roadmap items, or launch work into an execution-ready planning packet by choosing the right packet type, separating discovery from delivery, and making blockers, dependencies, and the next move explicit.

Creates detailed, bite-sized implementation plans from specs or requirements, with exact file paths, code, and test commands for TDD workflows.

Turns a pile of bugs, issues, and error reports into a ranked, actionable plan with reproduction evidence. Ingests GitHub issues via gh, TODO/FIXME scans, error logs, or a pasted list; attempts to reproduce or classify every item; scores by impact, frequency, fix cost, and regression risk; clusters duplicates; and.

Analyzes dependencies between stories, code modules, tickets, or specs to compute an optimal implementation order with parallel batches, cycle detection, and critical path analysis.

Creates product backlog items in Why-What-Acceptance format, producing independent, valuable, testable items with strategic context.