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Found 1,248 Skills
Use when you want to retrieve quantitative RNA expression data and variant eQTL information from the GTEx (Genotype-Tissue Expression) Project across 54 non-diseased tissue sites.
Fetch Evolutionary Conservation scores (phyloP, phastCons) and Transcription Factor Binding Sites (TFBS) from the UCSC Genome Browser. Use when analyzing whether genomic variants or regions are evolutionarily conserved, functionally important, or bounded by TF regulators across major projects (ENCODE, JASPAR, ReMap).
Create design system documents from any website URL. Use this skill for: DESIGN.md, preview.html, design tokens, CSS variables, style references, brand analysis, or format conversion between DESIGN.md/tokens.json/variables.css/theme.css. Trigger on: "create a DESIGN.md", "extract design tokens", "analyze [brand]'s design system", "reverse-engineer [url]'s visual style", "rico DESIGN.md", "rico tokens", "rico 全部输出". Covers: DESIGN.md, preview.html, tokens.json (DTCG), variables.css, theme.css (Tailwind v4).
Guides pension and retirement fund work—DB vs DC structures, funding policy, liability measurement (PV of benefits, discount rates, mortality), ALM overview, plan design, public and multi-employer pensions, risk transfer (buyouts, annuities, de-risking), US regulatory overview (ERISA, PBGC, DOL, IRS qualified plans), institutional investor role, and fiduciary governance—not legal or tax advice. Use when the user mentions pension fund, retirement plan, defined benefit, defined contribution, 401(k), pension funding, PBGC, ERISA, pension liability, discount rate pension, pension buyout, de-risking pension, or ALM pension—not P&C insurance (property-casualty-insurance), actuarial modeling only (actuary), actuarial engagements (actuarial-consulting), personal IRA advice (financial-analyst), or legal interpretation (commercial-counsel).
Guides cleaning and standardizing tabular datasets before analysis, modeling, or reporting—profiling, quality rules, missing values, duplicates, outliers, type coercion, encoding fixes, record linkage, deduplication, high-level PII handling (not legal advice), actuarial/insurance field scrubbing, reproducible scrub pipelines, validation checks, and sign-off. Distinct from warehouse ETL or statistical modeling. Use when the user asks for "data scrubbing", "clean this dataset", "scrub the data", "data cleaning", "dedupe records", "handle missing values", "outlier treatment", "standardize columns", "data quality rules", "profile this table", or "prepare data for modeling". Not warehouse pipelines (data-warehouse-engineer), ML modeling (data-scientist, actuary), privacy programs (compliance-engineer), FinOps only (finops-analyst), or assumption governance (assumption-setting).
Reframes messages, requirements, metrics, and decisions for organizational audiences—engineering, product, finance, legal, compliance, sales, operations, actuarial, and executive—by detecting jargon, surfacing implicit assumptions, producing dual-audience briefs, RACI-aligned handoffs, owner-tagged meeting actions, technical-to-business and business-to-technical translation, and escalation summaries. Use when translating for engineering, explaining to finance, cross-department bridging, rewriting for executives, business-friendly versions, technical summaries for leadership, inter-team handoffs, department jargon, or dual-audience briefs—not external customer or brand copy (communication-lead), contract redlines (commercial-counsel), full multi-team program execution (technical-program-manager), human-language i18n/l10n product strings, or strategy-only consulting without audience reframing (business-consultant).
Optional skill. Reconstruct a human-review-preparation file from an existing pull request, merge request, branch diff, or commit range in a repository the user trusts. Use when the user wants retrospective understanding of already-implemented changes, AI-side assessment and recommendations, and an optional provider-specific sharing variant written to a local file when needed.
Refactor MoonBit code to be idiomatic: shrink public APIs, convert functions to methods, use pattern matching with views, add loop invariants, and ensure test coverage without regressions. Use when updating MoonBit packages or refactoring MoonBit APIs, modules, or tests.
Use this skill whenever the user wants to interact with an n8n instance via its public REST API. Triggers include: listing, creating, updating, deleting, activating or deactivating workflows; viewing or managing executions; managing credentials, tags, variables, users, or projects; auditing instance activity; triggering workflow runs; checking execution status; or any automation task involving the n8n API. Also use for requests like "show my n8n workflows", "run workflow X", "list failed executions", "create a tag in n8n", "manage n8n variables", or "check n8n audit log". Always use this skill for any n8n API interaction — it defines the correct endpoints, authentication, and patterns.
Read-only Python utilities for Jira, Confluence, and Bitbucket integration. Provides read access to issues, search, workflows, pages, pull requests, commit history, and more. Use when users need to query Atlassian products like "get a Jira issue", "search Confluence pages", "view pull request details", or "get commit history". This variant excludes all write operations for token efficiency and safety.
Use this skill when the user requests to "generate cover", "cover copy", "XHS title", "optimize title", says "help me write a cover", or needs Xiaohongshu cover text and title variants. Based on cognitive psychology and behavioral economics, it identifies content types and authoritative elements, automatically selects driving strategies, and outputs three versions of solutions: aggressive, balanced, and conservative. Each version includes cover copy plus 3 titles, accompanied by four-dimensional ratings and A/B testing suggestions. Do NOT trigger this skill for scenarios like writing video scripts (use li-writer) or optimizing openings (use li-opening).
Use when user explicitly asks Flink/Ververica/Realtime Compute Console workspace operations: 草稿(draft), SQL校验/执行, 部署(deployment), 作业(job), Session Cluster, namespace, 表(table), 成员(member), 变量(variable), 或 checkpoint timeout 诊断, especially with workspace/deployment/job IDs (w-*, d-*, j-*, sc-*, draft-*). Also use when prompt asks to test/verify Flink Console lifecycle flow, safety guardrails, or parameter validation for these operations. This includes prompts such as create draft, deploy draft, list deployments, start/stop job, create/list session cluster, get tables, list variables. Also use when prompt explicitly asks to run `python scripts/flink_ververica_ops.py` for Flink Console workspace operations. Do not trigger for unrelated "workspace" contexts or generic cloud/platform tasks (ECS, OSS, RDS, Kafka, Spark, Kubernetes, billing, weather). Do not trigger for Flink instance lifecycle operations (create/scale/delete/renew); those belong to alibabacloud-flink-instance-manage.