coreclaw-marketplace

Account intelligence and company research for strategic sales planning. Company overview, financial health, industry trends, recent news, competitive landscape, and business triggers. Use when STARTING account planning, preparing for a first meeting, researching a target company, or updating account intelligence.

Deep market and competitive research with web_search, /research command, and MCP. Industry analysis, competitive intelligence, market sizing, and trend identification. Use when CONDUCTING market research, competitive deep dives, industry analysis, or gathering evidence for business cases.

SPIN-based discovery question sets for sales meetings. Stage-appropriate, persona-tailored questions for pain discovery and needs analysis. Use when PREPARING discovery questions, planning sales calls, building persona-specific question sets, or structuring needs analysis.

Sales learning capture and knowledge persistence. Records deal insights, methodology pitfalls, and account-specific patterns from completed sales activities. Use when FINISHING a deal phase, discovering a methodology limitation, resolving a sales process error, or recording lessons for future deals.

Evidence-backed objection responses with reframing techniques. Objection categorization by type (price, timing, competition, status quo), competitive displacement playbooks, and concern vs objection distinction. Use when PREPARING for objection handling, building competitive battle cards, or developing reframing strategies.

Stakeholder-aligned proposal builder with value proposition, ROI justification, and implementation planning. Customized per stakeholder role with executive summary, business case, and technical fit sections. Use when BUILDING proposals, creating business cases, developing ROI justifications, or preparing executive summaries.

Buying committee mapping and stakeholder influence analysis for deal strategy. Role identification, influence scoring, decision criteria, champion identification, and MEDDIC alignment. Use when MAPPING the buying committee, identifying decision makers, assessing stakeholder influence, or building engagement strategies.

Generates aligned learning activities with engagement strategies and differentiation. Use when DESIGNING learning experiences, creating practice exercises, planning active learning tasks, or differentiating instruction for diverse learners.

Builds sequenced curriculum structures with scaffolding, prerequisite mapping, and pacing. Use when STRUCTURING content sequence, creating scope & sequence documents, mapping prerequisites, or designing pacing guides for a course or program.

Deep research skill for learning science. Web search, CLI /research command, and MCP-based deep research for pedagogical evidence, learning benchmarks, and theory. Use when RESEARCHING learning science, pedagogical evidence, instructional design benchmarks, or educational theory foundations.

Analyzes learner performance patterns and generates improvement recommendations. Use when REVIEWING assessment results, identifying performance gaps, generating iteration triggers, or recommending design improvements.

Learning capture and knowledge persistence skill. Records instructional design insights, edge cases, and design playbook updates from completed tasks. Use when FINISHING a learning design task, discovering a design pitfall, resolving an alignment error, or updating Gotchas for future sessions.

Designs measurable learning objectives using Bloom's Taxonomy verbs and ABCD format. Use when DEFINING what learners should achieve, writing outcome statements, or creating competency targets for a course, module, or lesson.

Creates analytic rubrics with performance level descriptors and criterion weighting. Use when DESIGNING evaluation criteria, creating scoring rubrics, defining performance levels, or weighting assessment criteria.

Copy variant generation skill. Creates messaging alternatives for experiment arms with variable isolation, segment-appropriate tone, and A/B-ready formatting. Use when GENERATING copy variants, writing CTA alternatives, creating messaging for experiment arms, or adapting tone for different user segments.

Deep research skill for growth. Web search, CLI /research command, and MCP-based deep research for growth benchmarks, competitive analysis, and market data. Use when RESEARCHING growth benchmarks, competitive landscapes, market trends, conversion rate baselines, or industry best practices.

Experiment design skill. Hypothesis-driven A/B test planning with sample size calculation, MDE definition, guardrail metrics, and runtime estimation. Use when DESIGNING A/B tests, calculating sample sizes, defining hypotheses, setting guardrail metrics, or planning experiment rollout.

Funnel analysis skill. AARRR-stage mapping, conversion bottleneck detection, segment-level drop-off analysis, and revenue impact quantification. Use when ANALYZING conversion funnels, diagnosing drop-off points, comparing segment performance, or estimating revenue impact of funnel improvements.

Growth learning capture and knowledge persistence skill. Records experiment insights, edge cases, and growth playbook updates from completed tasks. Use when FINISHING a growth task, discovering a growth pitfall, resolving an analysis error, or updating Gotchas for future sessions.

Learning synthesis skill. Experiment result interpretation with Scale/Iterate/Kill decision framework, effect size review, and next hypothesis generation. Use when INTERPRETING experiment results, deciding to scale or kill a test, reviewing effect sizes, or generating next-iteration hypotheses.

User segmentation skill. Behavioral, value-based, and lifecycle segmentation with RFM analysis, MECE validation, and segment sizing. Use when DEFINING user segments, creating cohorts, building personas, running RFM analysis, or validating segment coverage.

Market and industry research with web_search, /research command, and MCP. Benchmarking, trend analysis, and competitive intelligence for enterprise context. Use when RESEARCHING industry trends, benchmarking competitors, gathering market data, or collecting evidence for enterprise transformation decisions.

Concise executive briefings with options, trade-offs, and pyramid-structured recommendations. Use when PRODUCING executive decision packages, board presentations, leadership briefings, or transformation progress reports for C-suite audiences.

Initiative scoring and prioritization by impact, feasibility, risk, and strategic fit. Weighted scoring matrix with portfolio visualization. Use when PRIORITIZING transformation initiatives, scoring project portfolios, allocating resources across programs, or evaluating strategic fit of proposals.

KPI gap analysis with root cause identification and leading indicator definition. Use when DIAGNOSING performance gaps, analyzing KPI trends, identifying root causes, or defining leading indicators for enterprise transformation tracking.

Enterprise transformation learning capture and knowledge persistence. Records transformation insights, initiative pitfalls, and methodology lessons. Use when FINISHING a transformation engagement or recording lessons learned.

MECE decomposition of ambiguous business problems into decision-ready workstreams. Issue trees, hypothesis generation, and workstream definition. Use when STRUCTURING strategic problems, decomposing transformation challenges, defining workstreams, or framing ambiguous business questions.

Phased transformation roadmap with dependency mapping and scenario simulation. Use when PLANNING transformation phases, mapping initiative dependencies, simulating resource allocation scenarios, or building execution timelines.

Active learning skill. Uncertainty sampling, Query-by-Committee, expected model change, pool-based/stream-based, batch active learning, GP-based active learning with ARD-RBF kernel, dimension-adaptive convergence, stopping criteria, and model improvement pipeline. Use when working with uncertainty sampling, query-by-committee, expected model change.

Adaptive experiment design skill. Sequential experiment optimization, Bayesian optimization, multi-armed bandit, response-adaptive randomization, and interim analysis for efficient experimental workflows. Use when working with sequential experiment optimization, bayesian optimization, multi-armed bandit.

ADMET and pharmacokinetics prediction skill. Absorption, Distribution, Metabolism, Excretion, Toxicity modeling with RDKit, DeepChem, and PK/PD simulation pipelines. Use when working with absorption, distribution, metabolism.

Advanced imaging analysis skill. Microscopy image processing, segmentation, super-resolution, 3D reconstruction, fluorescence quantification, and multi-channel analysis pipelines. Use when working with microscopy image processing, segmentation, super-resolution.

Advanced scientific visualization skill. Multi-panel figures, 3D plots, interactive dashboards, heatmaps, volcano plots, Manhattan plots, and publication-quality figure generation. Use when working with multi-panel figures, 3d plots, interactive dashboards.

AlphaFold structure prediction skill. Protein structure retrieval from AlphaFold DB, pLDDT confidence scoring, structural alignment, and downstream structural analysis. Use when working with protein structure retrieval from alphafold db, plddt confidence scoring, structural alignment.

Anomaly detection skill. Isolation Forest, LOF, One-Class SVM, autoencoders, statistical control charts, time-series anomaly detection, and multivariate outlier analysis. Use when working with isolation forest, lof, one-class svm.

ArrayExpress gene expression skill. Microarray and RNA-seq data retrieval from ArrayExpress/BioStudies, normalization, differential expression, and cross-study comparison. Use when working with microarray, rna-seq data retrieval from arrayexpress/biostudies, normalization.

Research audit report skill. Systematic quality assessment of experimental designs, statistical analyses, reproducibility, and reporting standards compliance. Use when working with systematic quality assessment of experimental designs, statistical analyses, reproducibility.

AutoML pipeline skill. Optuna hyperparameter optimization, FLAML fast AutoML, Auto-sklearn model selection, NAS, automated feature engineering, and model comparison pipelines. Use when working with optuna hyperparameter optimization, flaml fast automl, auto-sklearn model selection.

Bayesian statistics skill. PyMC/Stan/ArviZ-based Bayesian regression, hierarchical models, MCMC sampling, Bayesian optimization, posterior predictive checks, and model comparison. Use when working with pymc/stan/arviz-based bayesian regression, hierarchical models, mcmc sampling.

Biobank cohort analysis skill. UK Biobank, All of Us, and large-scale cohort data integration, phenotype extraction, population stratification, and epidemiological analysis pipelines. Use when working with uk biobank, all of us, large-scale cohort data integration.