Research & Search

v0lka Bundle

Solve inventive engineering, product, process, or system-design problems using TRIZ methodology. Use when facing design trade-offs, technical contradictions, or when you need breakthrough concepts rather than incremental optimization.

v0lka Bundle

Iterative research copilot for exploratory "vibe research." Progressively sharpens a broad topic into a sharp, high-value line of inquiry through multiple research loops. Use when the user wants to explore a topic, do open-ended research, brainstorm research directions, or says "vibe research."

v0lka Bundle

Initialize a new research project following the Iterative Engineering Research Methodology. Creates the file catalog structure (brief, hypothesis graph, prior art page) and populates the research brief through structured dialogue with the researcher. Use when starting a new research, setting up a new investigation, or creating a sub-research.

v0lka Skill

Generate a comprehensive status overview of an research project. Reads the brief, hypothesis graph, and hypothesis cards to produce a summary of progress, active fronts, time and budget consumption, and key findings. Use when the researcher wants a progress check, when preparing for a quarterly review, or when someone new needs to understand the current state of a research project.

v0lka Skill

Analyze hypothesis results and the current state of the hypothesis graph to recommend continue, pivot, kill, or fork decisions for an research iteration. Considers timebox constraints, budget, research question alignment, and graph topology. Use after an experiment completes, when the researcher needs help deciding next steps, or when reviewing the overall research direction.

v0lka Skill

Search, evaluate, and catalog prior art for an research project. Finds and annotates academic papers, CVEs, tools, conference talks, and source code repositories. Maintains the prior-art.md catalog with relevance assessments. Use when investigating existing work, reviewing literature, searching for CVEs, or when the researcher mentions prior art, references, or related work.

v0lka Skill

Guide experiment design, execution tracking, and result recording for an research hypothesis. Helps set up reproducible environments, plan minimal experiments, track progress against the timebox, and formally record outcomes. Use when starting an experiment for a hypothesis, setting up a test environment, tracking experiment progress, or documenting experiment results.

v0lka Bundle

Create, update, and manage hypothesis cards within an research project. Maintains the hypothesis graph (Mermaid diagram) and the catalog table. Handles parent-child relationships, status transitions, and result recording. Use when formulating a new hypothesis, recording experiment results, updating hypothesis status, or managing the hypothesis graph.

tomimor Skill

Fetch the latest PR review comments for the current branch, analyze and summarize feedback, and help the developer plan fixes. Use when the user mentions PR comments, review feedback, reviewer requests, or wants to understand and address PR review comments.

huguryildiz Skill

Use when assembling or adding to a bibliography, citing prior work, or making a novelty or absence claim — especially with AI assistance, which fabricates plausible-but-fake DOIs, titles, and authors. Governs DOI-verified, small-step literature anchoring so no unverified citation enters the record. Trigger phrases: "add a citation", "find references for", "cite prior work", "is this novel", "no one has done", "the literature says", "build the bibliography", "related work".

huguryildiz Skill

Use when adopting the Aletheia discipline in a new or existing research repository — discovering the project's actual conventions, interviewing the maintainer to fill the config bindings, extracting the project's own recurring failure modes into project-local skills, and scaffolding the record surfaces (decision log, build log, evidence dirs) after approval. Trigger phrases: "adopt aletheia here", "set up the research discipline", "generate skills for this repo", "bind the pack to this project", "run the adoption interview".

fearvox Skill

Research Vault pressure gate for remote Hermes, VM, HarnessMax, and autonomous evolution sweeps.

foreveraprogrammer Skill

Summarize the following text for a non-technical manager. Use when the user pastes technical content they want simplified.

verasuperhub Bundle

Runs distribution diagnostics and primary analysis for designed experiments (DOE) with controlled factors. Produces cell descriptives, balance check, residual normality, Levene's test, full factorial ANOVA (Type III SS) with partial eta-squared, interaction plots, and Tukey HSD / simple effects post-hoc. Outputs .R and .py scripts with 2 publication-quality plots. Triggered when user mentions "experimental design," "DOE," "factorial design," "treatment effects," "blocking," "randomized experiment," "split-plot," "response surface," "2^k factorial," "main effects and interactions," "Latin square," "fractional factorial," "CRD," "RCBD," or describes manipulated factors. Fractional factorial and RSM are identified and flagged; full design-resolution analysis delegated to vera-data-doe-generating. Does not handle observational studies, repeated measures, or SEM outcomes.

verasuperhub Bundle

Runs study-level diagnostics and primary pooled estimation for meta-analysis of summary statistics across multiple studies. Produces forest plot, heterogeneity assessment (Q, I-squared, tau-squared), pooled estimates under both fixed-effects and random-effects models, and prediction interval. Ends with a recommendation block listing Outputs .R and .py scripts with 1 publication-quality forest plot. Triggered when user says "meta-analysis," "systematic review," "pooled estimate," "combine studies," "forest plot," "heterogeneity," "I-squared," "effect size synthesis," or "aggregate results across studies." Does not handle network meta-analysis or individual participant data.

verasuperhub Bundle

Runs distribution diagnostics and primary hypothesis tests for count outcome variables (non-negative integers with no upper bound). Produces frequency table, overdispersion assessment, bar chart of count distribution with Poisson overlay, and one fully interpreted group comparison (Poisson/NB rate test or regression with LR test) with incidence rate ratios. Detects zero-inflation and overdispersion, flags for zero-inflated models in full analysis. Outputs .R and .py scripts with 2 publication-quality plots. Triggered when user has a count/frequency outcome and says "count outcome," "number of events," "Poisson," "incidents," "rate," "per capita." Does not handle binary, continuous, survival, ordinal, repeated measures, or SEM outcomes.

verasuperhub Bundle

Complete skill family for full structural equation modeling that combines measurement and structural paths. Use when the user asks for SEM, latent path models, latent mediation, structural paths among latent variables, or a full theory-driven SEM rather than CFA alone.

verasuperhub Bundle

Runs class balance diagnostics and primary association tests for binary outcome variables (0/1, yes/no, survived/died, pass/fail). Produces proportion tables, class balance check with rare-event warning, descriptives by outcome level, chi-square test of independence with Cramer's V, Fisher's exact test when cell counts are small, odds ratio with 95% CI, and a mosaic or grouped bar chart. Outputs .R and .py scripts with 2 publication-quality plots. Triggered when user has a binary/dichotomous outcome and says "binary outcome," "survived or died," "yes or no," "pass or fail," "0/1," "classification," "binary DV," or names a binary variable like survived, admitted, defaulted, churned, diagnosed. Does not handle continuous, count, survival time, ordinal, repeated measures, or SEM.

verasuperhub Bundle

Runs class distribution diagnostics and primary association tests for nominal (unordered multi-class) outcome variables. Produces class frequency table, proportions, rare-class warnings, bar chart, and one interpreted association test (Chi-square/Cramer's V for categorical predictors, or ANOVA/Kruskal-Wallis for continuous predictors) with effect sizes. Outputs .R and .py scripts with 2 publication-quality plots. Triggered when user has a nominal outcome with 3+ unordered levels and says "nominal outcome," "multi-class," "unordered categories," "multinomial," or names a variable like species, diagnosis type, region. Does NOT handle binary (2-level), ordinal, continuous, count, survival, or SEM outcomes.

verasuperhub Bundle

Runs distribution diagnostics and primary hypothesis tests for ordinal outcome variables. Produces frequency tables, cumulative proportions, ordinal bar chart, and one fully interpreted nonparametric group comparison (Mann-Whitney U for 2 groups or Kruskal-Wallis for 3+ groups) with effect sizes (rank- biserial r or Cliff's delta) and Jonckheere-Terpstra trend test. Ends with a recommendation block listing additional analyses available. Outputs .R and .py scripts with 2 publication-quality plots. Triggered when user has an ordinal outcome and says "ordinal outcome," "Likert scale," "ordered categories," "rating scale," "severity levels," "none/mild/moderate/ severe," "low/medium/high," "improvement levels," "ranked outcome," "ordered factor," or names an ordinal variable like satisfaction, severity, agreement, stage, grade, rating.

verasuperhub Bundle

Runs survival diagnostics and primary hypothesis tests for right-censored time-to-event outcomes. Produces Kaplan-Meier curves with number-at-risk tables, log-rank test for group comparison, median survival, landmark survival rates, and HR preview from univariate Cox regression. Outputs .R and .py scripts with publication-quality plots. Triggered when user has a time-to-event outcome and says "survival outcome," "time to event," "Kaplan-Meier," "hazard," "OS/PFS/DFS." Right-censored data only. Competing risks, recurrent events, and multi-state models are out of scope. Does not handle binary, count, continuous, ordinal, repeated measures, or SEM outcomes.

verasuperhub Bundle

Runs distribution diagnostics and primary hypothesis tests for continuous outcome variables. Produces Shapiro-Wilk normality check, skewness, kurtosis, Q-Q plot, and one fully interpreted group comparison (Welch's t for 2 groups or ANOVA with Tukey HSD for 3+ groups) with effect sizes and nonparametric confirmation. Ends with a recommendation block listing Outputs .R and .py scripts with 2 publication-quality plots. Triggered when user has a continuous/numeric outcome and says "analyze continuous outcome," "my DV is numeric," "compare group means," or names a continuous variable like weight, score, income, time, cost, mpg, blood pressure. Does not handle binary, count, survival, ordinal, repeated measures, or SEM outcomes.

verasuperhub Bundle

Multivariate diagnostics and primary hypothesis tests for multiple continuous outcomes analyzed simultaneously. Produces multivariate normality (Mardia, Henze-Zirkler), Box's M test, scatterplot matrix, correlation matrix, and one multivariate group comparison (Hotelling's T-squared for 2 groups or one-way MANOVA with all four test statistics for 3+ groups) with partial eta-squared per DV and univariate follow-up ANOVAs. Ends with a recommendation block. Outputs .R and .py scripts with publication-quality plots. Handles group- difference tests on 2+ continuous dependent variables (Hotelling's T², MANOVA, one-way MANOVA). Dimensionality-reduction methods (PCA, factor analysis) and canonical correlation are delegated to vera-data-multivariate-generating.

kina2711 Bundle

Build evidence-backed technical series for Facebook in Vietnamese, LinkedIn and Substack in English, and GitHub from research and a canonical article through code, diagrams, channel-native adaptations, QA, publishing and measurement. Use for Airflow, dbt, Spark, Kafka or other technical-content programs.

gannonh Bundle

Research how to implement a phase standalone, investigating implementation approaches before planning, or re-researching after planning is complete. Triggers include "research phase", "investigate phase", "how to implement", "research implementation", and "phase research".

gauss314 Bundle

Academic backtesting framework for quantitative research. ~30 risk and performance ratios, 10 classes of indicators, event-driven engine with 6+ strategies, MPT optimizer, forward-looking simulation with Johnson SU + t-Copula, walk-forward CV, stress testing, fundamental analysis (Altman Z, Piotroski, DuPont). All flat Python + numpy.

b2bforce Bundle

Run neural web search, fetch page contents, find similar pages, or get a cited answer via the Exa API. Use when a skill needs market research, reference articles, or a content landscape. Reads EXA_API_KEY from .env.

b2bforce Bundle

Track whether answer engines name the firm — build a versioned panel of buyer-intent prompts, run them across ChatGPT/Claude/Gemini/Perplexity, and roll results into a share-of-answer table with citation rate and named competitors. Use for AI visibility, GEO/AEO monitoring, "do LLMs recommend us", or answer-engine share of voice.

chann Bundle

Use when a technical question must be answered from primary sources and the answer needs to survive being quoted later, including "이거 공식 문서에서 확인해줘", "어떤 방식이 맞는지 근거까지 찾아줘", "라이브러리 동작 조사해줘", "research how this API behaves", "find out whether X supports Y", "check the spec on this", "/research-brief", or "$research-brief". Produces a cited brief under `.research/` with a bottom-line answer, a claim table naming each source's tier and verified version, a contradiction ledger, and mandatory open questions. For summarizing a document you already have use plan-summary instead.

lucking7 Bundle

Search Slack for interpreted organizational context -- decisions, constraints, and discussion arcs -- and produce a synthesized research digest with cross-cutting analysis. Use when the user says 'search slack for', 'what did we discuss about', 'slack context for', or 'what does the team think about'. Differs from slack:find-discussions, which returns raw message results without synthesis.

leonardodalinky Skill

Controlled experiment design — hypothesis formation, statistical power and sample size estimation, confound control, ablation structure, baseline selection, and reproducibility requirements. Use when designing research experiments to ensure valid, reproducible results.

leonardodalinky Skill

CS theory for research — algorithm complexity analysis, data structure selection, rigorous benchmarking discipline, distributed systems fundamentals, and formal verification concepts. Use when reasoning about algorithmic correctness, efficiency, or system design.

leonardodalinky Bundle

Creative research ideation and exploration for open-ended brainstorming, interdisciplinary connections, challenging assumptions, and identifying research gaps. Best for early-stage research planning without specific observations yet.

miznizzz Skill

Proactive lookup and self-validation protocol. Use this skill before asking the user a clarifying question, before making an unverified assumption, before stating something that could be fact-checked, or whenever a gap in knowledge could be filled by searching rather than asking. Trigger whenever Claude is about to write "could you clarify...", "do you mean...", "I'm not sure which...", "what is your...", or any question that could instead be answered via web search, past conversation history, or memory. Also trigger when Claude makes a factual claim about something current (prices, people, places, products, events, stats) that should be verified before stating as fact. The goal is: look it up first, ask only if truly unanswerable by research.

miznizzz Skill

Pre-send response quality evaluation protocol. Trigger this skill before finalising any substantive response — especially for recommendations, analysis, creative output, high-stakes advice, research synthesis, or any multi-part task. Run as a silent internal QA pass before the response lands. Also trigger when the user asks "is that your best answer?", "are you sure?", "evaluate your response", or "check your work". The goal: catch failures before they reach the user, not after. This skill references and enforces standards set by all other active skills.

c0x12c Skill

Run market research, competitive analysis, investor due diligence, and industry scans. Use when the user wants market sizing, competitor comparisons, fund research, or tech scans.