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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 (study design: protocol synopsis + endpoint selection + sample-size/power for means/proportions/survival + phase-gate feasibility) + research-finance (R&D program budgeting with F&A split + burn/runway + capitalize-vs-expense routing + portfolio ROI) + market-research (TAM/SAM/SOM computed both top-down and bottoms-up + survey sampling with FPC and per-segment minima + Kotler segmentation scoring) + product-research (goal-matched study design + method-based saturation with confidence + insight synthesis that flags single-source anecdotes). Hard rules: clinical outputs are estimates with a named clinical owner (never fact), finance outputs surface assumptions and route capex-vs-opex to a named finance owner (never auto-decide), market sizes show method + assumptions (never a single number), product insights require recurrence across independent participants. Each sub-skill ships per-skill onboarding questions (onboard.py), a customization config consumed by every tool, and an isolated opt-in autoresearch evaluator (ar_evaluator.py) bridging to engineering/autoresearch-agent. 24 stdlib Python tools (12 analysis + 12 onboarding/customization/autoresearch), 12 reference docs. Distinct from ra-qm-team (regulatory/QM submission), finance (corporate close/valuation), research/grants (funding discovery), product-team (persona/journey/live experiments), marketing-skill (campaign analytics).
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Plugin research-ops-skills from marketplace claude-code-skills in motivatedc-creator/Saafy. Commands read from the repo's manifest — 1 month ago.
What it installs
Skills (5)
clinical-researchUse when designing a prospective clinical study before submission — selecting and classifying endpoints (primary / key-secondary / exploratory, with surrogate-endpoint flagging), estimating sample size and power for two-arm designs (means / proportions / survival), or scoring a study plan for feasib
market-researchUse when doing upstream market-research methodology — sizing a market as TAM/SAM/SOM computed BOTH top-down and bottoms-up (never a single unsourced number), planning a survey sample size with finite-population correction and per-segment minimums, or scoring candidate market segments against Kotler'
product-researchUse when planning and synthesizing product/user research as a method-and-repository discipline — selecting the right method for the goal (generative interviews vs usability test vs concept test vs validation), computing method-based saturation/sample size with an explicit confidence level, or synthe
research-financeUse when managing the money for an internal R&D program or portfolio — building a multi-period program budget with the F&A (indirect) split, tracking burn rate and runway against value-inflection milestones, or routing R&D cost items to a capitalize-vs-expense determination. Every budget output surf
research-ops-skillsUse when planning, funding, scoping, or synthesizing enterprise research across workstreams — clinical study design, R&D program finance, market sizing/surveys, or product/user research. Triggers on "design this clinical study", "what sample size", "R&D budget", "burn rate", "capitalize or expense",
Slash commands (6)
/research-ops-skills:cs-clinical-researchClinical 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-opsMatt 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-market-researchMarket 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-researchProduct / 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-financeR&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-opsTop-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 (1)
cs-research-ops-orchestratorEvidence-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
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research-ops-skills
claudeEnterprise / 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.
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