Marketing & Growth

jiayaoqijia Bundle

Strategic analysis skill for benchmarking free-crypto-news against CoinGecko, DefiLlama, CoinMarketCap, and other crypto data platforms. Identifies differentiation opportunities and growth strategies for reaching 1M+ users.

jiayaoqijia Bundle

ICP / DFINITY positioning, voice, and vocabulary v2 for surfaces under the DFINITY or Internet Computer (ICP) mark. Pairs with icp-brand-design (colors, typography, components). Use when writing or reviewing copy, UI strings, headlines, hero lines, buttons, errors, empty states, release notes, blog posts, marketing pages, developer docs, social posts, decks. Enforces the calm, factual, plain voice (no hyperbole, no em-dashes, no emoji), the locked positioning ("Sovereign frontier cloud / Scaling AI that builds"), the four voice attributes (Factual, Plain, Calm, Sovereign by math), and the strict ban on bare "onchain" and "on-chain" as nouns, attributes, or selling points. Triggers, ICP voice, DFINITY voice, brand voice, is this on brand copy, vocabulary check, tagline review, headline review, ICP positioning, how should we describe ICP, write a headline. Products with their own voice (OISY, Caffeine, future ecosystem products with their own verbal systems) are out of scope.

jiayaoqijia Bundle

Earn funding rate payments by positioning on the paying side of perpetuals.

jiayaoqijia Bundle

ICP / DFINITY visual design system v2: tokens, color, typography, layout, components, accessibility for DFINITY and Internet Computer surfaces. Pairs with icp-brand-voice. Use when building or reviewing visual surfaces (NNS, ICP.app, Internet Identity, dashboards, the main website, developer docs, marketing). Enforces the system that ships on internetcomputer.org: three faces (Newsreader, Inter, JetBrains Mono), single rust accent, light editorial parchment as the default theme with an opt-in dark theme for product surfaces that need it, sentence case, italic for asides only, no em-dashes (U+2014), tamperproof spelled as one word. Triggers: ICP design, DFINITY design, brand tokens, design review ICP, color palette, typography ICP, NNS redesign, light or dark mode ICP. OISY, Caffeine, and ecosystem products with their own brand are out of scope.

theneoai Bundle

Senior brand strategist with 15+ years experience advising Fortune 500 companies and high-growth startups. Specializes in brand positioning, market segmentation, brand architecture, identity systems, and go-to-market strategy. Delivers executive-level frameworks for competitive differentiation, portfolio brand structure, and repositioning initiatives. Use when: developing new brand strategy,

theneoai Bundle

Ecommerce Manager

theneoai Bundle

Expert-level Marketing Manager skill covering annual marketing planning, campaign execution, brand management, go-to-market strategy, demand generation, and team leadership

theneoai Bundle

Expert-level Strategy Consultant skill covering corporate strategy, competitive analysis, market entry, portfolio strategy, M&A, and growth planning

theneoai Bundle

Training Marketing

theneoai Bundle

Market Research Analyst

fridrichmethod Bundle

Computes metabolic-engineering strain designs on genome-scale models with StrainDesign (OptKnock, RobustKnock, minimal cut sets, OptCouple) and cameo (heuristic knockout and FSEOF over/under-expression targets), finding gene/reaction interventions that couple product formation to growth. Use when designing knockouts to overproduce a target chemical, choosing between OptKnock and RobustKnock, growth-coupling a product so evolution maintains it, computing minimal cut sets, finding amplification targets with FSEOF, or understanding why MILP strain design needs a strong solver and why a design is only a hypothesis.

fridrichmethod Bundle

Designs pooled sgRNA libraries for CRISPR knockout, interference (CRISPRi), activation (CRISPRa), Cas12a multiplex, base-editor, and prime-editor screens. Covers on-target scoring (Rule Set 2, Azimuth, DeepSpCas9, CRISPRon), off-target scoring (CFD, MIT), TSS-relative positioning for CRISPRi/a (Horlbeck, Dolcetto, Calabrese), PAM-variant chemistries, control-guide composition, oligo cloning architecture, and library QC. Use when choosing a genome-wide library (GeCKOv2 vs Avana vs Brunello vs TKOv3 vs Inzolia), designing a focused or paralog-focused custom library, picking CRISPRi vs CRISPRa TSS windows, deciding control-guide proportions, or diagnosing library skew and dropout in a freshly cloned pool.

fridrichmethod Bundle

Validates, gap-fills, and standardizes genome-scale metabolic models using memote for consistency and annotation scoring and COBRApy for manual curation, including mass/charge balance, energy-generating-cycle detection, dead-end resolution, GPR fixes, and SBML/SBO/MIRIAM annotation. Use when improving a draft model, gap-filling to a target medium, detecting erroneous ATP-from-nothing cycles, interpreting a memote score correctly (consistency vs biological validity), validating predictions against measured growth/essentiality, or preparing a model for publication.

theneoai Bundle

Content Marketing Manager

theneoai Bundle

Expert-level Digital Marketing Specialist skill covering SEO, SEM/PPC, social media marketing, content strategy, email marketing, marketing analytics, and growth hacking

theneoai Bundle

Expert-level Wide Bandgap Semiconductor Engineer with deep knowledge of SiC, GaN, Ga2O3, power device design, epitaxial growth, device fabrication, characterization, EV applications, and AEC-Q101 qualification. Transforms AI into a senior power device engineer. Use when: wide-...

fridrichmethod Bundle

Map nucleosome center positions, occupancy, and fuzziness from ATAC-seq fragment-size patterns using NucleoATAC, ATACseqQC, DANPOS3, or scprinter. Use when characterizing nucleosome organization at promoters and enhancers, calling +1/-1 nucleosomes flanking NFRs, generating V-plots for chromatin structure visualization, or comparing nucleosome positioning between conditions.

fridrichmethod Bundle

Builds tissue-, cell-type-, and condition-specific metabolic models by integrating transcriptomic or proteomic data into a generic genome-scale model, using extraction algorithms (GIMME, iMAT, INIT/tINIT, MADE, E-Flux, CORDA, FASTCORE) via troppo and corda in Python or the COBRA Toolbox/RAVEN in MATLAB. Use when pruning a generic model to a context, choosing an extraction method and expression threshold, mapping expression through GPR rules to reactions, deciding whether an objective is required (GIMME vs iMAT), avoiding the growth-objective trap for non-proliferating tissue, or judging how much of a context-specific model is real signal versus an artifact of the threshold and method.

fridrichmethod Bundle

Implements missing-data sensitivity analyses for confirmatory clinical trials including MMRM under MAR (with Kenward-Roger correction), reference-based multiple imputation (J2R, CR, CIR, LMCF per Carpenter-Roger 2013), Permutt delta-adjustment / tipping-point analysis, pattern-mixture identifying restrictions (CCMV, NCMV, ACMV), and the Cro vs Bartlett variance debate. Use when handling missing primary or secondary endpoint data in regulatory submissions following NRC 2010 and ICH E9(R1).

fridrichmethod Bundle

Detect, date, and contextualize whole-genome duplication (WGD / paleopolyploidy) events using wgd v2 (Chen et al 2024), KsRates (Sensalari 2022 substitution-rate-corrected Ks dating), DupGen_finder (Qiao 2019), MAPS (Li 2018 phylogenomic), POInT (Conant 2008 ordered-block), SLEDGe (2024 ML-based), Whale.jl (Bayesian DL+WGD), and synteny-anchored paranome construction. Use when identifying ancient polyploidy from Ks distributions and synteny block analysis, positioning WGD events relative to speciation, distinguishing tandem from segmental from WGD duplications, dating the 2R/3R vertebrate / fish / salmonid WGDs, building paranome and Ks-age mixture models, applying KsRates substitution-rate correction across lineages, or testing alternative biased-fractionation / dosage-balance models post-WGD.

fridrichmethod Bundle

Predicts protein and complex structures with deep-learning models (ESMFold, AlphaFold2/ColabFold, AlphaFold3, Chai-1, Boltz-1/2) and reconciles them with confidence metrics. Use when choosing a predictor by input and question rather than novelty (ESMFold single-chain, no-MSA, fast, metagenomic-scale vs AlphaFold3/Chai-1/Boltz for complexes, ligands, nucleic acids, ions, PTMs); recognizing that MSA depth is the dominant accuracy determinant so ESMFold trades accuracy for speed and degrades on orphan proteins; gating a complex on ipTM plus inter-chain PAE, not per-chain pLDDT; reading pLDDT as local confidence, PAE as inter-domain/inter-chain positioning, pTM as global fold; knowing a single prediction is one dominant conformer not an ensemble (no apo/holo, allosteric, or fold-switch states), that these are not variant-effect/ddG/affinity engines, and that a confident prediction is a hypothesis, not an experiment. Keywords ESMFold, AlphaFold3, Chai-1, Boltz-1, ColabFold, ipTM, PAE, pLDDT, MSA depth.

fridrichmethod Bundle

Builds and simulates multi-species metabolic community models from member genome-scale models, using MICOM for abundance-weighted steady-state community FBA and cooperative tradeoff, SMETANA for cross-feeding and competition scoring, and SteadyCom/COMETS for common-growth-rate and dynamic simulation. Use when modeling a microbiome or co-culture, predicting cross-feeding and competition, abundance-weighting members from metagenomics, choosing steady-state vs dynamic community modeling, avoiding the compartment-pooling artifact, or judging how member-model quality and namespace propagate into community predictions.

fridrichmethod Bundle

Performs in-silico single and double gene deletions, condition-dependent essentiality, and synthetic-lethality screens on genome-scale metabolic models with COBRApy, evaluating gene-protein-reaction rules and comparing FBA re-optimization against MOMA/ROOM minimal-adjustment. Use when predicting essential genes, finding synthetic-lethal pairs for drug targets, choosing a growth cutoff, deciding FBA vs MOMA vs ROOM for a knockout, making essentiality medium-specific to match an experiment, or validating predictions against Keio/Tn-seq/CRISPR screens with MCC.

fridrichmethod Bundle

Designs cytosine (CBE, C-to-T) and adenine (ABE, A-to-G) base-editor guides by positioning the target base at the activity-peak of the editing window (protospacer positions ~5-7, PAM-distal numbering), minimizing bystander edits for product purity, reading dinucleotide context (APOBEC1 TC favored / GC disfavored), and selecting the editor variant (BE4max, ABEmax, ABE8e, YE1/SECURE, TadCBE, CGBE, SpG/SpRY-BE). Covers knockout by premature stop (CRISPR-STOP/iSTOP) and splice-site disruption, the three off-target classes (Cas-dependent, Cas-independent DNA, RNA), outcome prediction (BE-Hive/DeepBE), and the base-vs-prime-vs-HDR decision. Use when installing a transition mutation without a double-strand break, knocking out a gene without indels, or choosing CBE vs ABE. Generic guide scoring, prime editing, and HDR donors are separate skills.

fridrichmethod Bundle

Extract nucleosome positions from ATAC-seq data using NucleoATAC, ATACseqQC, and fragment analysis. Use when analyzing chromatin organization, identifying nucleosome-free regions at promoters, or characterizing nucleosome occupancy patterns from ATAC-seq fragment size distributions.

26zl Bundle

Correlates disparate security incidents, IOCs, and adversary behaviors across time and organizations to identify unified threat campaigns, attribute them to common threat actors, and extract shared indicators for improved detection. Use when multiple incidents exhibit overlapping indicators, when sector-wide attack campaigns require cross-organizational analysis, or when building campaign-level intelligence products. Activates for requests involving campaign analysis, incident clustering, cross-organizational IOC correlation, or MISP correlation engine.

26zl Bundle

Develops comprehensive threat actor profiles for APT groups, criminal organizations, and hacktivist collectives by aggregating TTP documentation, historical campaign data, tooling fingerprints, and attribution indicators from multiple intelligence sources. Use when briefing executives on sector-specific threats, updating threat model assumptions, or prioritizing defensive controls against specific adversaries. Activates for requests involving MITRE ATT&CK Groups, Mandiant APT profiles, CrowdStrike adversary naming, or sector-specific threat briefings.

26zl Bundle

Analyzes structured and unstructured threat intelligence feeds to extract actionable indicators, adversary tactics, and campaign context. Use when ingesting commercial or open-source CTI feeds, evaluating feed quality, normalizing data into STIX 2.1 format, or enriching existing IOCs with campaign attribution. Activates for requests involving ThreatConnect, Recorded Future, Mandiant Advantage, MISP, AlienVault OTX, or automated feed aggregation pipelines.

26zl Bundle

Campaign attribution analysis involves systematically evaluating evidence to determine which threat actor or group is responsible for a cyber operation. This skill covers collecting and weighting attr

26zl Bundle

Conduct systematic access reviews and certifications to ensure users have appropriate access rights aligned with their roles. This skill covers review campaign design, reviewer selection, risk-based p

fridrichmethod Bundle

Performs flux balance analysis (FBA), flux variability analysis (FVA), parsimonious FBA (pFBA), loopless FBA, flux sampling, and production envelopes on genome-scale metabolic models with COBRApy, solving the biomass-maximization linear program under a defined medium. Use when predicting growth rate on a carbon source, computing flux ranges and alternative optima (FVA), setting exchange bounds and minimal media, distinguishing a real growth phenotype from an under-constrained model, sampling the flux solution space, or choosing between FBA, pFBA, loopless FBA, and sampling for a flux distribution.

paulasilvatech Skill

Diagnoses and guides Qdrant horizontal scaling decisions. Use when someone asks 'vertical or horizontal?', 'how many nodes?', 'how many shards?', 'how to add nodes', 'resharding', 'data doesn't fit', or 'need more capacity'. Also use when data growth outpaces current deployment.

paulasilvatech Skill

Diagnoses and fixes slow Qdrant search. Use when someone reports 'search is slow', 'high latency', 'queries take too long', 'low QPS', 'throughput too low', 'filtered search is slow', or 'search was fast but now it's slow'. Also use when search performance degrades after config changes or data growth.

paulasilvatech Bundle

Create go-to-market strategy for AI products, including enterprise positioning, buyer readiness, trust sequencing, variable-cost pricing, and copilot/agent/teammate framing. Use this skill when positioning AI products, handling production-responsibility objections, pricing variable-cost AI, or selling autonomous tools into enterprises.

paulasilvatech Skill

Launch new products from idea to first customers by choosing direct outreach over vanity press, diagnosing stalls with positioning/experience/alignment layers, finding the first 10-50 customers, running 2-week experiments, validating PMF, and building launch playbooks. Use when launching products, finding early adopters, building launch week plans, or diagnosing stalled adoption.

paulasilvatech Skill

Analyze ad campaign performance data to diagnose waste, identify winners, validate A/B tests, compare channels, and recommend cuts, scaling, tests, and budget reallocation. Use when the user asks to analyze ad campaigns, find wasted spend, optimize Google Ads, Meta Ads, LinkedIn Ads, ROAS, CPA, CAC, or multi-channel ad budgets.