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Found 184 Skills
Third-party perspective analysis and improvement skills for marketing pages. Targets: Landing Pages (LP), Home Pages (HP), Pricing Pages, Feature Pages, Blogs. Integrates CRO frameworks and direct response principles (Schwartz/Hopkins/Ogilvy). Usage scenarios: (1) Page audit/analysis requests (2) Conversion improvement consultations (3) Copywriting improvements (4) A/B test design (5) Implementation prioritization. Trigger examples: "Analyze my LP", "Want to increase conversion rate", "Review pricing page", "Improve hero section", "Optimize CTA", "HP improvement proposal"
Utilize AI to assist in testing activities, including test data generation, defect root cause analysis, test prioritization, and intelligent test recommendation. The default output format is Markdown, and you can request Excel/CSV/JSON formats instead. This skill applies to AI-assisted testing scenarios.
Expert product strategy and product marketing skill. Use when defining product vision, assessing product-market fit, sizing market opportunities, doing competitive positioning, building growth loops, designing PLG strategies, creating product marketing context, or using the Working Backwards methodology. Activates for: product strategy, product marketing, PMM, product manager, product management, growth product manager, working backwards, PR/FAQ, Amazon PR FAQ, product roadmap, product positioning, product-market fit, product launch, feature prioritization, TAM SAM SOM, market sizing, competitive moat, business model design, monetization strategy, north star metric, activation, retention, growth loops, freemium, PLG, product-led growth, growth experimentation, ICP context, marketing context document.
Эксперт CVE tracking. Используй для vulnerability management, security advisories и patch prioritization.
Use this skill when defining ideal customer profiles, building scoring models, identifying intent signals, or qualifying leads. Triggers on lead scoring, ICP definition, scoring models, intent signals, MQL, SQL, lead qualification, BANT, and any task requiring lead prioritization or qualification framework design.
Systematic detection and prioritization of neglected code quality issues: stale TODOs, unused imports, deprecated functions, high complexity, dead code. Use when user requests "code cleanup", "find TODOs", "technical debt scan", or "quality of life fixes". Do NOT use for bug fixing (use systematic-debugging), feature work (use test-driven-development), or formatting-only (use code-linting).
Industrial AI literature research with mandatory intake questions, venue-aware source prioritization, structured report outputs, and survey draft generation. Use when the user needs up-to-date research on predictive maintenance, intelligent scheduling, industrial anomaly detection, smart manufacturing, cyber-physical systems, edge AI for automation, or crossover robotics-for-industry topics. Also trigger for adjacent terms: "digital twin", "industrial IoT", "Industry 4.0", "manufacturing AI", "factory automation", "process optimization", or "survey draft" in industrial contexts.
Plan and track savings for specific financial goals including retirement, education, and home purchase. Use when the user asks about required savings rates, 529 plans, retirement accumulation targets, down payment planning, or goal prioritization. Also trigger when users mention 'how much do I need to save each month', 'am I on track for retirement', 'college savings', 'safe withdrawal rate', '4% rule', 'FIRE savings rate', 'catch-up contributions', 'employer match', or ask how to balance competing savings goals.
Use Case 2.0 methodology by Ivar Jacobson. Covers use case slices, lightweight documentation, user story derivation, and value-driven prioritization. Modern approach to use case modeling for agile teams.
Knowledge base for designing, reviewing, and linting agentic AI infrastructure. Use when: (1) designing a new agentic system and need to choose patterns, (2) reviewing an existing agentic architecture ADR or design doc for gaps/risks, (3) applying the lint script to an ADR markdown file to get structured findings, (4) looking up a specific agentic pattern (prompt chaining, routing, parallelization, reflection, tool use, planning, multi-agent collaboration, memory management, learning/adaptation, MCP, goal setting, exception handling, HITL, RAG, A2A, resource optimization, reasoning techniques, guardrails, evaluation, prioritization, exploration/discovery). All rules and guidance are grounded in the PDF "Agentic Design Patterns" (482 pages).
Use when planning product roadmaps with Now/Next/Later horizons. Not for feature prioritization (use pm-prioritization).
Use this when you need to evaluate the risks and benefits of accepting, negotiating before accepting, pausing, or rejecting outsourcing projects, internal projects, or requirements. It is particularly suitable for scenarios with ambiguity in scope, acceptance criteria, payment terms, compliance, project timelines, or dependencies, as well as high-uncertainty situations such as emergency task insertion, contract renewal/modification, multi-requirement prioritization, or AI/LLM-related initiatives.