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Found 9,927 Skills
Reconcile a converted/built web page against its source prototype with two complementary probes — a PIXEL/layout diff (stretched images, dropped wraps, blank renders, colour flips) and a STRUCTURAL content+typography diff (dropped/mis-slotted headings, eyebrows, CTAs; rendered-face font forks). Stack-agnostic via profiles (eds | generic). Use after converting a prototype to EDS/AEM (the stardust:deploy Step 10), or for any prototype↔build fidelity check; invocable as stardust:diff and from workflows.
Eva Brief is an independent entry for commercial brief breakdown. It is only used when users explicitly request to break down brand briefs, brand cooperation requirements, generate commercial constraint cards, check existing commercial drafts against briefs, or migrate the structure of benchmark samples for the same product. It only generates brief analysis, selling point pools, commercial constraint cards, or revision handover materials, and does not directly write complete commercial drafts, titles, openings, or full text; general requests such as "how to write a commercial draft / how to present product selling points / help me create commercial content" should be redirected to Eva's main creation workflow. Trigger methods: /eva-brief, eva-brief, commercial brief, brand brief, brand cooperation requirement, help me break down the brief, create commercial constraint card, check against brief, can this commercial draft be submitted, check commercial draft, commercial sample of the same product, brand reference sample.
Workload-aware architecture design for VeloDB/Apache Doris. MUST USE when designing data architectures, choosing between data models, planning ingestion strategies, sizing clusters, or translating business requirements into VeloDB/Doris system designs. Complements velodb-best-practices with decision frameworks and sizing-first workflow. Use when user describes a workload involving: IoT, sensor data, telemetry, real-time analytics, dashboard, log analysis, log search, CDC sync, time-series, device monitoring, point query service, ad-hoc analytics, lakehouse federation, ETL/ELT pipeline, report analytics, clickstream, user behavior, observability, metrics, fleet tracking, or any OLAP workload requiring table design from scratch. Also triggers on prompts like: "design a table for...", "how should I store...", "build an architecture for...", "we have X devices sending data every Y seconds", "recommend a cluster size for...", "what data model should I use for...", "we need to ingest X GB/day", "migrate from MySQL/PostgreSQL to VeloDB". Also use for legacy analytics/search/serving stack consolidation prompts even when VeloDB is not named explicitly, including replacing or migrating from Impala, Kudu, Elasticsearch/ES, Greenplum, Presto, HBase, Hive, Hadoop, Redis, or Lambda-style multi-engine data platforms.
AE Agent platform CLI for Agent, archived conversation, automation, model, MCP, Skill, attachment, and user-memory work. Use when managing these resources, browsing Agent markets, restoring archived conversations, creating scheduled automations, persisting user memory, or answering from user preferences, background, stable workflows, or historical conventions.
5 ecology & environmental science skills. Trigger: biodiversity surveys, species data, environmental monitoring. Design: field data collection, spatial analysis, and conservation biology workflows.
Clean and finalize authorized natural-language text intended for readers by auditing suspicious invisible Unicode and rewriting prose while preserving facts and meaning. Use in Cursor when the user asks to clean, humanize, polish, or finalize articles, manuscripts, reports, documentation, emails, product copy, UI text, Markdown, or HTML prose, or when an installed Cursor Rule explicitly requires this workflow. Do not use for code-only tasks or undisclosed authorship evasion; leave code, commands, identifiers, paths, APIs, formulas, citations, required disclosures, and verbatim quotations unchanged.
Find and synthesize research papers, whitepapers, PDFs, technical reports, and academic sources with Firecrawl Research, using semantic paper search, related-paper expansion, and in-body verification over Firecrawl's paper index — largely biomedical and life-science literature from PubMed, bioRxiv, and medRxiv, plus arXiv preprints in CS, physics, and math. Use when the user wants a literature review, systematic review, survey of studies, paper summary, research landscape, or sourced synthesis from scholarly and industry publications, including clinical, drug, gene, disease, epidemiology, and public-health topics. Prefer this over a general web-research workflow whenever the evidence base is published papers rather than web pages.
Projetar e revisar CI/CD, artefatos, releases, promoções, migrations, rollout, rollback e supply chain. Use para pipelines, workflows, ambientes, deploys ou estratégia de entrega; use também para escolher entre rolling, blue-green, canary ou feature flag; não publique, promova ou altere produção sem autorização explícita, e para a métrica que decide o rollout use `$specsfy-specialist-observability`.
UiPath governance via `uip gov` — author, deploy, and diagnose policies on three layers. AOps product policies (`uip gov aops-policy`): block/restrict/enforce features in Studio, StudioX, Assistant, Robot, AI Trust Layer, Agent Builder; deploy to user/group/tenant. Access ToolUsePolicy (`uip gov access-policy`): allow/deny when one workflow invokes another as a tool (Agent→Agent/Maestro/Flow/RPA/API/Case), gated by tag, caller, or actor (User/Group). Compliance Standards (ISO 42001): check posture and configure recommended settings across products in one operation. Operate: deploy/undeploy, query effective deployed policy. Diagnose: policy not taking effect, deployment precedence (user>group>tenant), blocked tool invocations. For platform ops→uipath-platform.
Refactoring workflow — test coverage gate, DRY + SOLID analysis, SRP decomposition, pattern discovery, spec-driven user review, and execution planning
Wren CLI for AI agents — a semantic SQL layer over 22+ databases (Postgres, MySQL, BigQuery, Snowflake, Spark, …). The actual workflow guides live inside the `wren` CLI itself; this is just a discovery stub. Use whenever the user asks a data question (how many, show me, top N, compare, trend, breakdown, metric, revenue, customers, orders), wants to install / set up Wren Engine, connect a new database, connect SaaS data via dlt (HubSpot, Stripe, Salesforce, GitHub, Slack), generate or regenerate an MDL project from a database schema, enrich a project with business context (enum meanings, units, cubes like ARR / DAU / churn), or turn a project's context layer into a shareable GenBI web app / dashboard and deploy it to Vercel or Cloudflare. Triggers: 'install wren', 'set up wren engine', 'connect database to wren', 'connect SaaS to wren', 'load hubspot / stripe / salesforce data', 'generate mdl', 'scaffold wren project', 'enrich wren context', 'augment my project', 'add cubes', 'build a dashboard', 'make a shareable analytics app', 'deploy my context layer as a web app', 'genbi app', 'wren onboarding', 'wren usage', 'wren generate mdl', 'wren dlt connector', 'wren enrich context', 'wren genbi'.
Write JavaScript or Python for the n8n Custom Code Tool (@n8n/n8n-nodes-langchain.toolCode) — the AI-agent-callable tool, NOT the workflow Code node. Use when building a Code Tool attached to an AI Agent, writing code that an LLM will invoke, parsing the `query` input, returning a string result, defining an input schema for structured arguments (specifyInputSchema, jsonSchemaExample, DynamicStructuredTool), or troubleshooting errors like "Wrong output type returned", "No execution data available", "The response property should be a string, but it is an object", "Cannot assign to read only property 'name'", or an AI agent that refuses to call the tool. Covers the critical differences between Code node and Code Tool: return format (string vs `[{json:{...}}]`), unavailability of `$fromAI`/`$input`/`$helpers` in the Code Tool sandbox, naming rules for AI invocation, and when to use `toolWorkflow`/HTTP Request Tool instead.