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Found 6,150 Skills
Complete fal.ai video-to-video system. PROACTIVELY activate for: (1) Kling O1 video editing, (2) Sora Remix transformation, (3) Video upscaling, (4) Frame interpolation, (5) Style transfer (anime, painting), (6) Object replacement/removal, (7) Color correction, (8) Video enhancement pipelines. Provides: Edit types (general/style/object), upscaling options, style keywords, enhancement workflows. Ensures consistent video transformation without flickering.
Router skill for LLMQuant equities workflows. Use when the user needs stock analysis, equity comparison, research memos, merger-arb memos, or sell/take-profit work.
Router skill for LLMQuant rates and FX workflows. Use when the user needs yield curve, duration, central-bank divergence, FX carry, real-rate, dollar, or cross-currency analysis.
Findings-first review discipline for code, diffs, task plans, live workflow changes, and implementation evidence.
Workload-aware architecture design for Apache Doris. MUST USE when designing data architectures, choosing between data models, planning ingestion strategies, sizing clusters, or translating business requirements into Apache Doris system designs. Complements doris-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 Apache Doris". Also use for legacy analytics/search/serving stack consolidation prompts even when Apache Doris 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.
You are a highly skilled content strategist and repurposing specialist. Use this skill when the user wants to repurpose existing content into new formats, find the best format for a content idea, humanize AI-generated content, or generate social media topic ideas. Activate when the user mentions "repurpose this," "turn this into," "content repurposing," "repurpose my blog," "repurpose my podcast," "repurpose my video," "repurpose my newsletter," "repurpose my email," "content format," "best format for this," "what format should I use," "humanize this," "make this sound human," "rewrite this AI content," "content calendar," "content ideas," "topic ideas," "content buckets," "1 post into many," "one piece many formats," "carousel from blog," "reel script from blog," "email from YouTube," "thread from newsletter," "LinkedIn post ideas," "Instagram content ideas," "Twitter content ideas," "content batching," "weekly content plan," "monthly content strategy," "swipe file," or "content workflow." Covers content repurposing across all major platforms and formats, format recommendation based on goals and audience, AI content humanization, and social engagement topic generation.
Extract false-positive and false-negative gaps from VLM binary-classification-question (BCQ, yes/no) predictions. Use after running VLM evaluation when you have a predictions JSON and need to identify failure cases for DEFT root cause analysis on a binary-classification VLM workflow.
Ghostty submodule and GhosttyKit workflow rules for cmux. Use when modifying the ghostty submodule, rebuilding GhosttyKit.xcframework, updating the parent submodule pointer, or documenting fork conflict notes.
MUST activate when a uiBundles/*/src/ project does ANY Salesforce record operation — reading, creating, updating, deleting, or caching/refreshing query results. Triggers: code importing @salesforce/platform-sdk, calls to sdk.graphql.query / sdk.graphql.mutate / sdk.fetch, *.graphql files, stale data needing a force-refresh, or wiring up a UI bundle's data layer to read, write, or refresh Salesforce records. The default for new read/write work is the Read/Write workflow with the current @salesforce/platform-sdk API; only follow the migration path when EXISTING code already uses the old @salesforce/sdk-data callable form. Not for building app shell/UI, styling, file upload, or auth/search scaffolding — use the other ui-bundle-* skills. DO NOT TRIGGER when: OAuth setup, schema changes, Bulk/Tooling/Metadata API, or declarative automation.
Convert evidence gaps, conflicts, and anomalies into traceable candidate innovation points, and screen them based on contribution, feasibility, and falsifiability criteria. Use when the user asks for "finding research innovation points", "generating research directions from literature gaps", "screening candidate innovation points", "brainstorming research directions", or requests the rw-research-novelty workflow. Runs without a private local workspace or preset research-lab; use user-provided material and bundled public-source methods.
Organize scientific research text based on user-provided research materials and verifiable sources, determine the writing functions of chapters, sections, and paragraphs, and fill in the gaps between evidence, explanations, significance, and research questions. Use when the user asks for “write PhD chapters”, “revise paper arguments”, “write academic paragraphs based on sources”, “revise scientific writing according to supervisor feedback”, or requests the rw-phd-write workflow. Runs without a private local workspace or preset research-lab; use user-provided material and bundled public-source methods.
Invoke the `groundcover` Go CLI to manage Groundcover resources (dashboards, monitors, silences, connected apps, notification routes, API keys, policies, integrations, pipelines, workflows) AND to answer production observability questions by querying logs, traces, metrics, k8s inventory, and k8s events. Use whenever a task needs an authenticated call against the Groundcover API or whenever the user is debugging a prod issue and asks things like "why is X erroring in prod", "show me logs for service Y", "what's the p99 latency on Z", "what pods are crashlooping", "search traces for slow requests", "any k8s events for namespace N", "is service S receiving traffic", "list groundcover monitors", "create a silence", "update notification route", "hit a groundcover endpoint". Covers required env vars, the SDK-backed vs raw command split, and concrete request-body templates for logs/traces/metrics/k8s so the CLI can be driven from anywhere.