claudecodex

research

Decision-oriented research orchestration, evidence planning, specialist investigation, synthesis, and independent review workflows.

1 on GitHubby jay1803v0.1.1updated 12 days agoProductivity
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Plugin research from marketplace jay1803-ship-skills in jay1803/ship-skills. Commands read from the repo's manifest — 12 days ago.

What it installs

Skills (16)

  • research-causal-analysis

    Assess whether evidence supports a causal explanation or attributable effect. Use when a diagnosis, evaluation, intervention, growth change, policy, product change, or observational relationship depends on what caused what, and confounding, selection, timing, mediation, spillovers, or counterfactual

  • research-competitive

    Investigate and compare the alternatives competing for the same user, buyer, budget, workflow, or strategic outcome. Use when direct competitors, indirect solutions, substitutes, status quo, internal build, partner, or no-action options need current evidence on product, pricing, distribution, capabi

  • research-data-analysis

    Analyze supplied or connected quantitative data for a decision-relevant research question. Use when metric definitions, coverage, data quality, trends, cohorts, segments, funnels, retention, economics, relationships, anomalies, or uncertainty must be computed and interpreted. Produces a reproducible

  • research-decision-model

    Build an explicit model of how a research question will be judged. Use when alternatives, baseline, hard constraints, objectives, criteria, thresholds, causal or value drivers, tradeoffs, or sensitivity are unclear. Produces a Decision Model that says what must be true for an answer to be preferred;

  • research-desk

    Collect and organize current external, documentary, academic, official, or supplied-source evidence for one bounded research question. Use when claims must be verified against primary or credible sources, source conflicts or freshness matter, or an evidence brief with claim-level citations is requir

  • research-evidence-plan

    Translate a Research Contract, Decision Model, and Hypothesis Map into a prioritized evidence program. Use when the team must decide which signals, data, sources, interviews, analyses, or experiments are worth obtaining, in what order, and when to stop. Produces work items, research waves, method ch

  • research-experiment-design

    Design a credible, proportionate experiment, pilot, test-and-learn intervention, or quasi-experimental measurement plan for a decision-critical uncertainty. Use when passive research cannot distinguish hypotheses and the next step requires an intervention, comparison, counterfactual, decision thresh

  • research-forecasting

    Produce a calibrated forecast for a resolvable future target using base rates, drivers, constraints, scenarios, probabilities or ranges, and update signals. Use when an open question depends on what is likely by a defined horizon, including market, technology, adoption, policy, product, operational,

  • research-hypothesis-map

    Create a competing, falsifiable map of explanations or what-must-be-true claims. Use when an open question has plausible alternatives, causal mechanisms, strategic assumptions, or hidden dependencies that need supporting, disconfirming, and decisive signals before evidence collection. Produces a Hyp

  • research-market-landscape

    Map the decision-relevant structure of a market, category, ecosystem, channel, or technology landscape. Use when demand, segments, jobs, value chain, distribution, business models, economics, regulation, maturity, trends, or structural constraints must be understood before choosing an opportunity or

  • research-question-framing

    Convert a vague or overloaded research request into a current Research Contract. Use when the decision or intended use, primary question type, decision owner, objective, horizon, scope, constraints, stakes, reversibility, source boundary, or required output is unclear. Produces framing only; does no

  • research-review

    Independently review a frozen Research State, Evidence Ledger, and Decision Brief for decision alignment, source quality, traceability, alternatives, counterevidence, method validity, causal or forecast strength, uncertainty calibration, robustness, and actionability. Use for deep research, high-sta

  • research-synthesis

    Synthesize an accepted Research State and Evidence Ledger into a traceable, calibrated draft Decision Brief. Use when evidence work is complete enough to update beliefs, compare alternatives, form a diagnosis or forecast, recommend action, name residual uncertainty, and define revisit triggers. Prod

  • research-user-study

    Design a decision-relevant user, customer, stakeholder, operator, or expert study. Use when interviews, surveys, contextual inquiry, observation, usability sessions, diary work, or concept tests are needed but the sampling frame, recruitment, instrument, consent, evidence standard, or analysis plan

  • research-user-synthesis

    Synthesize actual user, customer, stakeholder, operator, expert, survey, diary, observation, usability, or concept-test evidence into decision-relevant findings. Use when real participant materials exist and must be coded, compared, bounded, and traced to evidence. Produces a User Evidence Brief wit

  • research

    Decision-research orchestrator for open, strategic, diagnostic, forecasting, discovery, design, and evaluation questions. Use when the user asks what to choose, why an outcome happened, what is likely, where an opportunity exists, how a system should be designed, whether an intervention worked, or r

View source on GitHub

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