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App Store Optimization (ASO) toolkit for researching keywords, analyzing competitor rankings, generating metadata suggestions, and improving app visibility on Apple App Store and Google Play Store. Use when the user asks about ASO, app store rankings, app metadata, app titles and descriptions, app store listings, app visibility, or mobile app marketing on iOS or Android. Supports keyword research

Product marketing skill for positioning, GTM strategy, competitive intelligence, and product launches. Use when the user asks about product positioning, go-to-market planning, competitive analysis, target audience definition, ICP definition, market research, launch plans, or sales enablement. Covers April Dunford positioning, ICP definition, competitive battlecards, launch playbooks, and internati

Structured research summarization agent skill for non-dev users. Handles academic papers, web articles, reports, and documentation. Extracts key findings, generates comparative analyses, and produces properly formatted citations. Use when: user wants to summarize a research paper, compare multiple sources, extract citations from documents, or create structured research briefs. Plugin for Claude Co

Claude-native deep research using DAG-based query planning, parallel subagent execution, and gap-driven iteration. No external API needed.

Archived. The active utility/support skills now reside in claude-code-skills across ai-collaboration/, development/, research/, and system/.

Build and validate user personas and segment definitions grounded in real research data. Use this skill when a team needs to define who they are building for with enough specificity to guide product decisions.

Define the scope, goals, and methods for a product discovery research initiative. Use this skill before running any discovery research to ensure the team is investigating the right questions with the right methods.

Synthesize user interviews, JTBD analysis, and qualitative data into actionable product insights. Use this skill when a team has raw qualitative data and needs structured insights.

Distill raw observations and research data into meaningful, actionable product insights. Use this skill when a team has research data and needs to move from observations to insights that can drive decisions.

Turn raw insights into well-structured opportunity statements ready for prioritization or experiment design. Use this skill when a team has research insights and needs to frame them as actionable product opportunities.

Use when about to present long or complex AI-generated markdown to the user — typically >150 lines, >5 H2 sections, or content like code reviews, implementation plans, specs, research reports. Also use when the user explicitly asks to convert a markdown source into a readable HTML report. Produces a single self-contained HTML report (TL;DR hero, sticky TOC with importance stars, semantic-color cal

Use when the user explicitly asks to research the scope of a requirement or proposed change against the current codebase — e.g. "research the scope of this requirement", "what would adding X touch in this codebase", "do scope research on this spec", "/scope-research". Surveys the codebase to surface concrete facts about which files/areas a change would touch and the relevant facts about each touch