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Found 10,272 Skills
Operate Bitget public exchange market APIs through UXC with a curated OpenAPI schema, market-first discovery, and explicit private-auth boundary notes.
Use these skills when you need to handle advanced data intelligence and predictive tasks. Use when a user asks "why" data changed or needs future projections. Provides automated insight generation and time-series forecasting.
Open Orbit briefing skill — selected by the Orbit pipeline when Linear is the user's only connected connector, or when the user explicitly scopes their daily digest to Linear. Pulls the past 24 hours of issue movement, status changes, assignments, and cycle progress from the user's authenticated Linear connection and renders the digest in Linear's native Inbox + cycle-progress visual language. This skill should not be triggered manually — it is invoked by Orbit's daily-digest scheduler against live Linear data.
Solve quantitative problems in biophysics, pharmacokinetics, epidemiology, toxicology, population genetics, and statistical mechanics. Provides reasoning strategies and Python templates for calculations alongside ToolUniverse data lookups. Use when users ask about drug dosing, half-life decay, radioactive tracers, R0, herd immunity, diffusion, Hardy-Weinberg, binding equilibria, or any computation-heavy biology/chemistry question.
Identify and test open redirect vulnerabilities in web applications by analyzing URL redirection parameters, bypass techniques, and exploitation chains for phishing and token theft.
Use when planning, producing, and repurposing webinars or virtual events for GTM campaigns.
Bitwarden integration. Manage security and password-management data, records, and workflows. Use when the user wants to interact with Bitwarden data.
Query and search the EMBL-EBI Ontology Lookup Service (OLS) for biomedical ontology terms, definitions, and hierarchies across 250+ ontologies (e.g., GO, DOID, HP). Use when the user asks to search for terms, retrieve details, navigate hierarchies (parents, children, ancestors), look up properties and individuals, get autocomplete suggestions, or access ontology metadata and statistics.
Design dashboards, write analytical SQL, define KPIs, and manage stakeholder analytics requirements. Cover chart selection, data storytelling, cohort/funnel analysis, metric definitions, and BI tool patterns (Tableau, Looker, Power BI). Triggers on "build dashboard", "design dashboard", "write analytical SQL", "cohort analysis", "funnel analysis", "define KPI", "define metric", "reporting requirements", "data storytelling", "stakeholder analytics", "retention analysis", or "BI report". For business model canvas, TAM/SAM/SOM, and competitor monetization research, use business-model-researcher—not bi-analyst. For building warehouse marts, dbt models, tests, and lineage—not dashboards—use analytics-data-engineer.
Guides Site Reliability Engineering—SLI/SLO and error budgets, reliability dashboards and burn-rate alerting, production readiness reviews, capacity planning for availability, toil reduction, dependency and failure-mode analysis, release reliability (canaries, rollback criteria), and service-owner incident mitigation tied to customer impact. Use when defining or operating SLOs, measuring error budget burn, improving service reliability, running PRRs before launch, planning scalable resilient capacity, or leading technical mitigation during outages—not for CI/CD pipeline implementation (devops), incident program and paging policy design (incident-management-engineer), cloud access and patch tickets (cloud-system-administrator), load-test profiling (performance-engineer), rollout cutover strategy (deployment-strategist), or greenfield cloud build-out (cloud-engineer).
Extract formal spec and comprehensive test suites from existing MoonBit implementations. Use when asked to "extract spec from implementation", "generate tests from code", or "create spec-driven tests for existing package". Analyzes existing code to produce spec.mbt with `declare` keyword stubs and organized test files (valid/invalid).
Remediate OS and base-image CVEs in Docker-hosted applications. Use for base image candidate discovery, Docker Scout based comparison, Dockerfile updates, and OS remediation reporting.