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Found 596 Skills
Autonomous biomedical AI agent framework for executing complex research tasks across genomics, drug discovery, molecular biology, and clinical analysis. Use this skill when conducting multi-step biomedical research including CRISPR screening design, single-cell RNA-seq analysis, ADMET prediction, GWAS interpretation, rare disease diagnosis, or lab protocol optimization. Leverages LLM reasoning with code execution and integrated biomedical databases.
Agentic workflow patterns for autonomous LLM reasoning. Use when building ReAct agents, implementing reasoning loops, or creating LLMs that plan and execute multi-step tasks.
Maximally Endowed Graph Architecture — λ-calculus over bounded n-SuperHyperGraphs with grounded uncertainty, conditional self-duality, and autopoietic refinement. Use when (1) simple graphs insufficient (η<2), (2) multi-scale reasoning required, (3) uncertainty is structured not stochastic, (4) knowledge must self-refactor. Pareto-governed: complexity added only when simpler structures fail validation.
Use when planning home improvement, renovation, or DIY projects that need materials lists, tool requirements, timelines, or seasonal weather considerations
Create warm, nature-themed UI for Grove with glassmorphism, seasonal decorations, randomized forests, and accessible design patterns. Use when building pages, enhancing UI, or adding decorative elements.
Write marketing copy and App Store / Google Play listings (ASO keywords, titles, subtitles, short+long descriptions, feature bullets, release notes), plus screenshot caption sets and text-to-image prompt templates for generating store screenshot backgrounds/promo visuals. Use when asked to: write/refresh app marketing copy, craft app store metadata, brainstorm taglines/value props, produce ad/landing/email copy, or generate prompts for screenshot/creative generation.
Review existing Perses dashboards for quality: fetch via MCP or API, analyze panel layout, query efficiency, variable usage, datasource configuration. Generate improvement report. Optional --fix mode. 4-phase pipeline: FETCH, ANALYZE, REPORT, FIX. Use for "review perses dashboard", "audit dashboard", "perses dashboard quality". Do NOT use for creating new dashboards (use perses-dashboard-create).
Reply.io platform help — multichannel sequences (email, LinkedIn, calls, SMS, WhatsApp), Jason AI SDR, B2B database, email warmup, deliverability tools, unified inbox, analytics, Salesforce/HubSpot integration, agency features. Use when asking 'how do I do X in Reply.io', setting up Reply.io sequences, configuring Jason AI, connecting Reply.io to Salesforce or HubSpot, using Reply.io warmup, or troubleshooting Reply.io deliverability. Do NOT use for general outbound cadence strategy (use /sales-cadence), cross-platform email deliverability (use /sales-deliverability), email tracking strategy (use /sales-email-tracking), building prospect lists (use /sales-prospect-list), or connecting Reply.io to other tools via Zapier (use /sales-integration).
Apply pragmatist philosophy (Peirce, James, Dewey) to frame knowledge as instrumental for action, evaluate ideas by their practical consequences, and conduct inquiry as problem-solving. Use this skill when the user needs to bridge theory and practice, evaluate competing theories by their usefulness, employ abductive reasoning to generate hypotheses, or when they ask 'which theory is more useful here', 'how do I move from abstract ideas to actionable knowledge', or 'what practical difference does this distinction make'.
Analyze user/customer feedback and produce a User Feedback Analysis Pack (source inventory, normalized feedback table, taxonomy/codebook, themes + evidence, recommendations, and feedback loop). Use for voice of customer, feature request analysis, support ticket synthesis, churn reason synthesis, and survey open-ends.
Quantum-resistant, self-learning version control for AI agents with ReasoningBank intelligence and multi-agent coordination
Exposes Claude's reasoning chain as an auditable, decomposable artifact. Quick mode (default) gives assumption inventory + weakest-link in 2 stages. Full mode (--full) adds decision branching, confidence decomposition, and falsification conditions. Triggers on "왜 그렇게 생각해", "reasoning", "근거", "show your work", "어떻게 그 결론이", "trace", "판단 근거", "why do you think that".