Results for “compound”

Expert in designing and optimizing growth loops - self-reinforcing systems where the output of one cycle becomes the input for the next. Covers viral loops, content loops, paid loops, sales loops, and product loops. Knows how to identify, measure, and accelerate the specific loop mechanics that drive sustainable growth. Use when "growth loop, viral loop, content loop, flywheel, compounding growth, acquisition loop, referral loop, " mentioned.

The English summary is being prepared. Showing the original description.

World-class content strategy expertise combining the frameworks of Andy Crestodina's data-driven approach, Ann Handley's "everybody writes" philosophy, and the content engines that power companies like HubSpot, Ahrefs, and Intercom. Content strategy isn't about creating content - it's about creating the right content for the right audience at the right time in the right format. The best content strategists think in systems, not pieces. They build content engines that compound over time and turn strangers into customers and customers into advocates. Use when "content strategy, content plan, editorial calendar, blog strategy, content marketing, topic clusters, pillar content, content audit, content calendar, SEO content, content distribution, content funnel, thought leadership, content engine, content topics, what to write, content, strategy, editorial, SEO, blog, planning, distribution, measurement" mentioned.

The English summary is being prepared. Showing the original description.

Autonomous agents are AI systems that can independently decompose goals, plan actions, execute tools, and self-correct without constant human guidance. The challenge isn't making them capable - it's making them reliable. Every extra decision multiplies failure probability. This skill covers agent loops (ReAct, Plan-Execute), goal decomposition, reflection patterns, and production reliability. Key insight: compounding error rates kill autonomous agents. A 95% success rate per step drops to 60% by step 10. Build for reliability first, autonomy second. 2025 lesson: The winners are constrained, domain-specific agents with clear boundaries, not "autonomous everything." Treat AI outputs as proposals, not truth. Use when "autonomous agent, autogpt, babyagi, self-prompting, goal decomposition, react pattern, agent loop, self-correcting agent, reflection agent, langgraph, agentic ai, agent planning, autonomous, agents, langgraph, react, planning, reflection, guardrails, reliability, checkpointing" mentioned.

The English summary is being prepared. Showing the original description.

Captures reusable knowledge after work is done — learnings from feedback or failures, resolved bugs (symptom, root cause, prevention), and recurring code patterns — into the project's persistent memory file. Use after feedback, a non-trivial bug fix, a failed attempt, or the third repetition of a pattern.

The English summary is being prepared. Showing the original description.

Suede-owned content-strategy discipline for audience questions, content pillars, topic clusters, editorial priorities, cadence, distribution, refreshes, and stop-doing decisions. Use when deciding what to publish, why it deserves resources, and how the portfolio compounds. NOT FOR: writing an individual asset (use suede-copy), technical or on-page SEO audits (use suede-seo-audit), or social-channel production (use suede-social).

The English summary is being prepared. Showing the original description.

Build production-grade components for React, Vue 3, and Svelte 5 with all states (loading, empty, error, success, idle), TypeScript strict, WCAG 2.2 accessibility, server components (RSC), and compound component patterns. Includes scaffold script, reference patterns, and template files for React and Vue. Use when user asks to create a UI component, frontend module, or design system component. Do NOT use for page layouts (use landing-craft), routing, or state management architecture (global stores).

The English summary is being prepared. Showing the original description.

Refresh docs/solutions learnings against the current codebase. Use when auditing stale, overlapping, superseded, or drifted learnings; avoid general refactor, debugging, or code review unless docs/solutions is explicit.

The English summary is being prepared. Showing the original description.

Check Compound Engineering health and repo-local config.

The English summary is being prepared. Showing the original description.

Document a recently solved problem or durable project vocabulary in docs/solutions/ or CONCEPTS.md. Use when capturing a learning after work.

The English summary is being prepared. Showing the original description.

Prioritize drug targets from a ranked gene list (e.g., scRNA-seq DE output) by orchestrating parallel API queries against UniProt, OpenTargets (with integrated DepMap CRISPR essentiality + gnomAD constraint), PubMed, the Human Protein Atlas (HPA), and ChEMBL tool compounds, then re-ranking by a composite score combining protein localization, druggability, disease genetics, tissue specificity (safety), focus-cell-type expression, CRISPR essentiality, LoF safety constraint, and research maturity. Use whenever the user wants to filter, triage, prioritize, or "do due diligence" on a list of candidate genes for drug discovery, especially after a DE / DEG analysis when they say things like "which of these should I follow up on", "filter for druggable targets", "make a target dossier", "rank these for tractability", "annotate these genes for druggability", or "build a target report". Trigger even when the user says just "filter these candidate genes" or hands over a CSV from a DE pipeline.

The English summary is being prepared. Showing the original description.

shadcn/ui component patterns with Radix primitives and Tailwind styling. Use when building UI components, using CVA variants, implementing compound components, or styling with data-slot attributes. Triggers on shadcn, cva, cn(), data-slot, Radix, Button, Card, Dialog, VariantProps.

The English summary is being prepared. Showing the original description.

Activates Warren Buffett's complete investment thinking system. The following scenarios must trigger it: analyzing any stock or company, evaluating investment opportunities, interpreting financial reports/annual reports/shareholder letters, assessing business moats or competitive advantages, evaluating management quality and integrity, making buy/hold/sell decisions, understanding core value investing concepts (compounding/intrinsic value/margin of safety/circle of competence/Mr. Market), analyzing any industry (insurance/banking/consumer/media/energy/railroads/technology), handling capital allocation/buybacks/dividends questions, assessing market sentiment and macro risks, exploring when to sell, analyzing institutional imperative or management behavior. Even if the user does not mention "Buffett," proactively trigger whenever the topic involves investment analysis, business quality assessment, or investment decision-making.

The English summary is being prepared. Showing the original description.

Rhythmic analysis, meter classification, groove mechanics, and cross-cultural rhythmic systems. Covers simple and compound meter, asymmetric meters, polyrhythm, polymetric structures, metric modulation, swing and groove analysis, syncopation patterns, hemiola, additive vs. divisive rhythm, African timeline patterns, Indian tala, and Messiaen's non-retrogradable rhythms. Use when analyzing rhythmic structure, identifying meter, studying groove, or working with non-Western rhythmic systems.

The English summary is being prepared. Showing the original description.

Mathematical verification for physical calculations: unit tracking algebra (exponent maps), PhysicalQuantity pattern for compound units, SI/Imperial mixed-unit handling, Buckingham pi theorem for dimensionless groups, and common engineering dimensionless numbers. Activates for unit verification, dimensional consistency checks, scaling analysis, and calculation validation across all infrastructure domains.

The English summary is being prepared. Showing the original description.

Query ChEMBL's bioactive molecules and drug discovery data. Search compounds by structure/properties, retrieve bioactivity data (IC50, Ki), find inhibitors, perform SAR studies, for medicinal chemistry.

The English summary is being prepared. Showing the original description.

设计组件结构、拆分粒度和复用策略时使用。覆盖 React / Vue / Angular / Svelte。融合 Atomic Design + Container/Presentation + Compound Components + Headless 模式。

The English summary is being prepared. Showing the original description.

设计具有复利效应的增长模型。当你做一件事很久但增长缓慢想放弃、或者想让自己的努力产生"越做越快"的效果时使用。核心方法：找支点（验证因果关系）→设计增强循环（A增强B、B反过来增强A）→坚持到里程碑。不适用于一次性任务、短期项目或因果关系不明确的事件。关键触发信号："为什么做了这么久还是没效果""我该不该坚持""如何让增长加速"。

The English summary is being prepared. Showing the original description.

Builds PIK and PIK toggle models with compound interest analysis, cash vs PIK election scenarios, and leverage impact assessment. Use when modeling PIK instruments, analyzing toggle mechanics, or evaluating accrued interest impact.

The English summary is being prepared. Showing the original description.

Turn in vitro potency and animal pharmacokinetics into a defensible human dose projection — the arithmetic that decides whether a compound can reach its target concentration safely. Use this skill for non-compartmental analysis of a concentration-time profile (AUC, Cmax, terminal half-life, clearance, volume of distribution), one- and two-compartment simulation of a dosing regimen, interspecies allometric scaling, human-equivalent dose conversion by body surface area, and the exposure margin between a projected therapeutic concentration and a toxicology no-effect level. Also trigger on non-compartmental analysis, AUC, clearance, volume of distribution, allometric scaling, human equivalent dose, first-in-human, NOAEL, therapeutic index, or exposure margin.

The English summary is being prepared. Showing the original description.

Query the Cancer Dependency Map (DepMap) for cancer cell line gene dependency scores (CRISPR Chronos), RNAi DEMETER2 scores, PRISM compound sensitivity, and gene effect profiles across the cell-line panel. Use for identifying cancer-selective vulnerabilities, separating pan-essential genes from selective ones, finding synthetic lethal interactions, correlating dependency with mutation, expression and copy number, and validating oncology drug targets. Also trigger on DepMap, Chronos gene effect, CRISPRGeneEffect.csv, DEMETER2, PRISM repurposing, co-essentiality, pan-essential, or ACH- cell line identifiers.

The English summary is being prepared. Showing the original description.

Medicinal chemistry filters for compound triage. Apply drug-likeness rules (Lipinski rule of five, Veber, Oprea, CNS, lead-like, rule of three), structural alert catalogs (PAINS a/b/c, NIBR screening-deck severity, Brenk, BMS, Glaxo, Dundee, ChEMBL common alerts), ZINC-15 percentile complexity metrics (Bertz, SAscore, QED, Whitlock, Barone), chemical-group detection, Lilly demerits, and the medchem query language (MATCHRULE, HASALERT, HASPROP, HASGROUP) for filtering a library at scale. Also trigger on medchem, `import medchem as mc`, RuleFilters, NIBRFilters, CommonAlertsFilters, NamedCatalogs, QueryFilter, PAINS filtering, or structural alerts.

The English summary is being prepared. Showing the original description.

Navigate make-on-demand catalogues — ZINC-22 through CartBlanche and Enamine REAL Space — to find compounds that can actually be ordered. Use this skill to look substances up by ZINC identifier or structure, understand tranche partitioning by heavy-atom count and logP, and choose between screening an enumerated subset and searching a combinatorial synthon space with a fragment-growing method such as V-SYNTHES. Also trigger on ZINC22, CartBlanche, Enamine REAL, make-on-demand, tangible library, synthon, tranche, giga-scale enumeration, or ultra-large virtual screening.

The English summary is being prepared. Showing the original description.

Find out whether a chemical series is already claimed, using SureChEMBL's patent-extracted compound corpus and, where a key is available, PatentsView for legal status and assignee history. Use this skill to trace a structure to the patent documents that disclose it, survey an assignee's filings around a target, and understand what the freedom-to-operate question requires that a structure search cannot answer. Also trigger on SureChEMBL, patent chemistry, Markush structure, freedom to operate, composition of matter, assignee, priority date, patent family, or PatentsView.

The English summary is being prepared. Showing the original description.

Structure-based docking with AutoDock Vina, Vinardo, and AutoDock4 through the Meeko toolchain. Use this skill to define a docking box, prepare receptors and ligands as PDBQT, run single or batch docking, rescore, and interpret affinities, poses, and ligand efficiency. Covers box definition from a reference ligand or pocket residues, protonation and tautomer decisions, flexible side chains, exhaustiveness and seeds, redocking validation, and virtual screening over compound libraries. Also trigger on vina, smina, gnina, mk_prepare_ligand, mk_prepare_receptor, mk_export, scrub.py, PDBQT, autogrid4, docking box, or binding-pose prediction.

The English summary is being prepared. Showing the original description.