claude

research-ops-skills

Enterprise / cross-functional Research Operations domain — the managed counterpart to the academic research/ domain. v2.9.0 ships 5 skills: orchestrator (context: fork), clinical-research (protocol synopsis, endpoint selection, sample-size/power for means/proportions/survival, phase-gate feasibility), research-finance (R&D budgeting with F&A split, burn/runway, capitalize-vs-expense routing, portfolio ROI), market-research (TAM/SAM/SOM top-down and bottoms-up, survey sampling with FPC, Kotler segmentation), and product-research (goal-matched study design, method-based saturation, insight synthesis flagging single-source anecdotes). Hard rules: outputs are estimates routed to a named clinical or finance owner, market sizes show method + assumptions, product insights require recurrence across independent participants. 24 stdlib Python tools, 12 reference docs. Distinct from ra-qm-team, finance, research/grants, product-team, and marketing-skill.

29,725 on GitHubby Alireza Rezvaniv2.14.6MITupdated yesterdayresearch-ops
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Plugin research-ops-skills from marketplace claude-code-skills in alirezarezvani/claude-skills. Commands read from the repo's manifest — today.

What it installs

Skills (6)

  • clinical-research

    Use when designing a prospective clinical study: choosing primary and secondary endpoints, estimating sample size and power, or scoring feasibility before submission. Runs endpoint_selector.py, sample_size_estimator.py and phase_gate_scorer.py; outputs are estimates for a biostatistician to confirm.

  • interview-mapper

    Use when coding or making sense of one interview transcript (customer, JTBD, expert, usability, exit). Extracts verbatim-grounded nuggets with extract_nuggets.py, verifies quotes with verify_quotes.py and checks conclusions hold across reruns with consensus.py.

  • market-research

    Use for market sizing (TAM, SAM, SOM both top-down and bottom-up), survey sample sizes or segment scoring. Runs market_sizer.py, sample_size_planner.py and segmentation_scorer.py and never returns one unsourced number.

  • product-research

    Use when planning or synthesizing user research: choosing the method, deciding how many participants, or turning coded notes into insights. Runs study_designer.py, saturation_planner.py and insight_synthesizer.py, which refuses single-source insights.

  • research-finance

    Use for R&D program money: multi-period budgets with indirect cost split, burn and runway against milestones, or capitalize vs expense routing. Runs program_budget_planner.py, burn_runway_tracker.py and capex_vs_opex_router.py.

  • research-ops-skills

    Use when an enterprise research request needs routing (clinical study design, R&D finance, market sizing, user research): 'what sample size', 'R&D budget'. Lists the research-ops skills and routes to one.

Slash commands (7)

  • /research-ops-skills:cs-clinical-research

    Clinical study design. Select and classify endpoints, estimate sample size / power (means / proportions / survival), and score a study plan for a GO / GO-WITH-CONDITIONS / REDESIGN / NO-GO phase-gate decision. Every output is an ESTIMATE plus a named clinical owner — never clinical fact. Direct invo

  • /research-ops-skills:cs-grill-research-ops

    Matt Pocock-style docs-anchored grilling for a Research Operations plan — clinical study, R&D budget, market size, or product study. Walks the plan against the research canon (ICH E9, IAS 38, Cochran, Kotler, Nielsen) one question at a time, recommends an answer per question, and refuses to invoke a

  • /research-ops-skills:cs-interview-mapper

    Transcript-level interview mapping. Route intake to one of 16 lenses, code the transcript with verbatim quote verification, run a reliability council on unstable analytic cells, and (for >=2 interviews) synthesize triangulated cross-interview insights. Every conclusion carries a verified quote + lin

  • /research-ops-skills:cs-market-research

    Market research methodology. Size a market as TAM/SAM/SOM computed BOTH top-down and bottoms-up (never a single number), plan a survey sample size with finite-population correction and per-segment minimums, and score candidate segments against Kotler's criteria. Outputs always show method + assumpti

  • /research-ops-skills:cs-product-research

    Product / user research methodology. Select the right method for the goal (generative vs evaluative vs validation), compute method-based saturation / sample size with an explicit confidence level, and synthesize coded observations into insights while flagging single-source anecdotes. Never fabricate

  • /research-ops-skills:cs-research-finance

    R&D program finance. Build a multi-period program budget with the F&A (indirect) split, track burn rate and runway against value-inflection milestones, and route R&D cost items to a capitalize-vs-expense determination. Every budget surfaces its assumptions; capex-vs-opex routes to a named finance ow

  • /research-ops-skills:cs-research-ops

    Top-level Research Operations router. Classifies an enterprise research inquiry (clinical study design / R&D finance / market research / product research) and forks context to the right sub-skill via the research-ops-skills orchestrator, returning a ≤200-word digest with a named owner and one grill

Subagents (2)

  • cs-interview-mapper

    Transcript-level interview analyst. Refuses to accept a conclusion without a verbatim quote checked against the source, refuses to call a cross-run analytic label settled until independent re-runs agree, and refuses to call a cross-interview pattern an insight below the triangulation threshold. Rout

  • cs-research-ops-orchestrator

    Evidence-first R&D operations lead. Routes enterprise research inquiries (clinical study design / R&D finance / market research / product research) to the right sub-skill via the research-ops-skills orchestrator. Forks context to keep heavy intake (protocol drafts, program ledgers, survey exports, i

View source on GitHub alirezarezvani.medium.com

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