Agent Skills by moonz
Showing 70 vetted skills indexed across 1 GitHub repositories.
moonzffdual-environment-workflow
Selects runtime, profile, and MCP path for Windows and WSL2 tasks.
moonzffpm-productivity-toolkit
Generates PRDs, Why-What-Acceptance backlog items, competitive battlecards, and targeted writing reviews.
moonzffgrammar-check
Identify grammar, logic, and flow errors in text with targeted fix suggestions.
moonzffcreate-prd
Generate a structured Product Requirements Document using an 8-section template.
moonzffcompetitive-battlecard
Create sales-ready competitive battlecards with positioning, feature comparisons, and objection handling.
moonzffsummarize-meeting
Convert meeting transcripts into structured notes with decisions, action items, and open questions.
moonzffagentic-engineering-governance
Maps and audits AI coding workflows into Codex-native governance plans.
moonzffmulti-model-review
Reviews plans and decisions from multiple expert perspectives with synthesized consensus and risks.
moonzffwwas
Create product backlog items in Why-What-Acceptance format with strategic context and testable criteria.
moonzffdesign-md-authoring
Create and audit DESIGN.md visual design system files for AI-assisted UI generation.
moonzfftest-scenarios
Generate structured QA test scenarios from user stories with steps and expected outcomes.
moonzffjob-stories
Generate JTBD job stories with acceptance criteria from product and feature inputs.
moonzffrelease-notes
Generate user-facing release notes from tickets, PRDs, and changelogs.
moonzffuser-stories
Generate user stories with acceptance criteria using the 3 C's and INVEST frameworks.
moonzffoutcome-roadmap
Rewrites feature-based roadmap initiatives as measurable outcome statements tied to business impact.
moonzffproduct-strategy
Generate a product strategy document using the 9-section Product Strategy Canvas.
moonzffproduct-vision
Generate product vision statement options from company and market context.
moonzffsql-queries
Generate SQL queries from natural language descriptions across multiple database dialects.
moonzffstakeholder-map
Generate a power/interest stakeholder grid and communication plan from project context.
moonzffretro
Facilitate structured sprint retrospectives with themed feedback and prioritized action items.
moonzffsprint-plan
Plan sprints with capacity estimation, story selection, dependency mapping, and risk identification.
moonzffdummy-dataset
Generate realistic dummy datasets as CSV, JSON, SQL, or Python scripts.
moonzffanalyze-feature-requests
Analyze and prioritize customer feature requests by theme, impact, effort, and risk.
moonzffinterview-script
Create structured customer interview scripts with JTBD questions and note-taking templates.
Frequently Asked Questions About moonz
FAQPage SchemaWhat tasks can I accomplish with moonz's skills?▼
You can create PRDs, user stories, job stories, and outcome roadmaps; run discovery with opportunity-solution trees, assumption mapping, and customer journey maps; perform strategy analysis (SWOT, PESTLE, Ansoff, Porter's); plan GTM motions, pricing, and market sizing; and summarize meetings into structured action items.
Who are moonz's skills designed for?▼
Product managers, founders, and business strategists who need structured PM artifacts like PRDs, battlecards, personas, and roadmaps. Secondary audiences include engineers using the dual-environment (Windows/WSL2) profile selector and teams auditing agentic engineering governance across AGENTS, MCP, and hooks.
How do I install and run moonz's skills?▼
Clone the public repositories and place each skill folder into your agent's skills directory so its frontmatter name and description are registered. Skills activate contextually—for example, create-prd triggers when drafting requirements, and summarize-meeting triggers when processing transcripts.
Are moonz's skills free and open source?▼
The skills are published as public repositories under the moonzff account at no cost. No explicit license file is documented in the manifest, so review each repository before commercial redistribution or derivative use.
What prerequisites do moonz's skills require?▼
A skill-capable agent runtime that reads native frontmatter (name/description) is required. The dual-environment-workflow skill additionally assumes a Windows host with WSL2 for cross-runtime path handling; PM skills need only source material such as transcripts, feature ideas, or market inputs.