varunk130

73 mods across 4 repositories, 14 stars between them.

varunk130/ai-ux-skill-library

Skill Claude CodeCodex

Design explainability interfaces that help users understand AI decisions, build calibrated trust, and verify AI outputs. Use when: AI explainability, XAI UX, confidence indicators, citation design, source attribution, trust signals, AI transparency, why did AI do this.

not rated 3 changed 13d ago A 58 tokens original MIT

ai-ux-eval

50

varunk130/ai-ux-skill-library

Skill Claude CodeCodex

Evaluate the UX quality of an AI product with a scored, repeatable rubric - eval set design, criteria that raters agree on, score bands tied to ship decisions, rater calibration, and instrumented signals. Use when: AI UX evaluation, UX eval rubric, score my AI UX, UI quality audit, measure AI experience quality, UX…

not rated 3 12d ago A 87 tokens original MIT

varunk130/ai-workflow-playbooks

Skill Claude CodeCodex

Evaluate whether to add, update, or remove a dependency based on maintenance, security, size, and licensing criteria.

not rated 2 12d ago A 27 tokens original MIT

assumption-mapper

68

varunk130/ai-customer-discovery-skills

Skill Claude Code

Surfaces the assumptions a product or strategy depends on, classifies them by criticality and evidence quality, and produces a prioritized test plan. Use when: assumption mapping, identify assumptions, what could go wrong, leap-of-faith assumptions, riskiest assumption test, RAT, assumption inventory, validate before…

not rated 2 11d ago A 68 tokens original MIT

varunk130/ai-customer-discovery-skills

Skill Claude Code

Structured competitive teardown for product discovery - surface the 4-6 dimensions buyers actually weigh, score every competitor on each, and identify exploitable gaps. Use when: competitive analysis, competitor teardown, market positioning, where do we win, where do we lose, competitive gap analysis, competitor audit.

not rated 2 11d ago A 63 tokens original MIT

varunk130/ai-customer-discovery-skills

Skill Claude Code

Triages a backlog of raw customer feedback into a ranked list of opportunities scored on reach, severity, strategic fit, and confidence. Outputs a prioritized list with explicit "do not act" callouts for vocal-minority signals. Use when: triage feedback, prioritize feature requests, customer feedback backlog, what…

not rated 2 11d ago A 82 tokens original MIT

jtbd-extractor

71

varunk130/ai-customer-discovery-skills

Skill Claude Code

Turn raw research into Jobs-to-be-Done statements showing what users are really trying to accomplish. Use when: extract jobs, jtbd analysis, jobs to be done, what job is the user hiring, underlying user needs.

not rated 2 11d ago A 50 tokens original MIT

varunk130/ai-customer-discovery-skills

Skill Claude Code

Identifies a candidate North Star Metric (NSM) for a product - the single metric that captures the value the product delivers to its customers and predicts long-term business growth. Tests candidates against five criteria and surfaces input metrics that move it. Use when: north star metric, NSM, single metric that…

not rated 2 11d ago A 86 tokens original MIT

At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: