Claude Code plugins
7 plugins from public Claude Code marketplaces. Each one bundles skills, slash commands, agents, hooks or MCP servers that install together.
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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.
NIH grant-funding intelligence skill. RePORTER/NOSI/study-section navigation, R01/R21/K-award strategy. Research-pack convention. Path-B from megaprompt 11.
Research orchestrator (hybrid router + fallback). Deterministic SIGNALS classification routes to 6 specialists (pulse/litreview/grants/dossier/patent/syllabus) at >=2 signals, else runs own 8-step plan-decompose-search-synthesize-cite fallback. Routing transparency mandatory. Path-B from megaprompt 13.
Scientific and research paper writing, grants, peer review, critical appraisal.
research
Scientific writing, citations, grants, posters, and academic career (14 skills)
Open WebUI operator suite — REST API administration (v0.10.x: user/group lifecycle, model catalog GitOps via models/sync, config-as-code, SCIM, event webhooks, the 0.10.0 access_control→access_grants break, auth traps), RAG pipeline wiring (HuggingFace embedding + reranker via LiteLLM in front of HuggingFace Text Embeddings Inference; exact wire shapes, LiteLLM ↔ TEI gotchas, TEI configuration cliffs, end-to-end production config; BGE-M3 + BGE-Reranker-v2-m3 worked examples) and multi-pod deployment with WebSockets + Valkey Sentinel at 1000+ user scale (the structural Socket.IO + Redis frame-amplification bug #23733 and the CHAT_RESPONSE_STREAM_DELTA_CHUNK_SIZE mitigation, all multi-pod env vars, custom-model-icon perf history, helm chart gaps, full known-issues catalog with fix status).
ai-workflow
Implement and deliver an authorized change end to end — verify, open the PR, merge, and confirm post-merge state — using live-state gates, durable interruption handoffs, and live-state-first resumption. Use when a user grants end-to-end delivery authority for a specific change and the work may cross tool-call limits, context exhaustion, worker loss, or session interruptions before the delivery boundary is reached. Do not use for plain fixes with no delivery directive, for granting merge or post-merge authority the user did not grant, or for designing release pipelines (use release-engineering for that).