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Found 4,646 Skills
Apply cultivation theory (Gerbner) to analyze how long-term media exposure shapes worldviews. Use this skill when the user needs to study cumulative media effects on audience beliefs, evaluate mainstreaming and resonance phenomena, or assess how media consumption patterns correlate with perceptions of social reality — even if they say 'does watching news make people more fearful', 'how does media shape worldview', or 'mean world syndrome'.
Drop-in pandas replacement with ClickHouse performance. Use `import chdb.datastore as pd` (or `from datastore import DataStore`) and write standard pandas code — same API, 10-100x faster on large datasets. Supports 16+ data sources (MySQL, PostgreSQL, S3, MongoDB, ClickHouse, Iceberg, Delta Lake, etc.) and 10+ file formats (Parquet, CSV, JSON, Arrow, ORC, etc.) with cross-source joins. Use this skill when the user wants to analyze data with pandas-style syntax, speed up slow pandas code, query remote databases or cloud storage as DataFrames, or join data across different sources — even if they don't explicitly mention chdb or DataStore. Do NOT use for raw SQL queries, ClickHouse server administration, or non-Python languages.
Use when the war plan is approved and it is time for parallel execution — dispatches soldiers through capos to implement work packages with TDD enforcement, tribute collection, and escalation protocols
Use when working with CUE kind definitions, schemas, or versioning in grafana-app-sdk projects (app platform apps). This skill should be used when the user asks to "define a kind", "add a CUE kind", "write a kind schema", "create a CUE schema", "model a resource", "add a new resource type", "edit kinds/", "what is a kind in grafana-app-sdk", "add a version to a kind", or asks about CUE kind structure, versioning, schema fields, validation constraints, or the codegen configuration section. Provides guidance on authoring CUE kind definitions for grafana-app-sdk projects.
Help desk and customer service platform comparison and selection — choosing the right ticketing and support platform (Zendesk, Freshdesk, Intercom, Help Scout, Zoho Desk, Front, Hiver, Jira Service Management, Gorgias, Tidio, HappyFox, Kustomer, LiveAgent, Crisp, Pylon). Use when comparing help desk platforms for a support team, deciding between Zendesk vs Freshdesk vs Intercom, evaluating which support tool fits your team size and budget, choosing a help desk for e-commerce or SaaS, migrating from one help desk to another, or wondering which platform has the best AI or automation. Do NOT use for platform-specific configuration (use /sales-zendesk or the relevant platform skill), CCaaS/contact center selection (use /sales-ccaas-selection), or live chat strategy (use /sales-live-chat).
KWCode (天工开物) — a CLI coding agent optimized for local open-source models (8B-30B), featuring deterministic expert pipelines, BM25+AST code location, runtime debugging, and a self-improving flywheel — all running fully offline.
Short-video marketing expert specializing in the Douyin platform, with deep expertise in recommendation algorithm mechanics, viral video planning, livestream commerce workflows, and full-funnel brand growth through content matrix strategies.
Use when fact-checking a single wiki page against its cited sources — verifies that every footnote actually supports its claim and surfaces uncited factual claims. Run after ingesting a high-stakes page or any time you want confidence in one page's accuracy.
The movie CLI that combines TMDb's discovery engine with OMDb's multi-source ratings — and ships a SQLite watchlist that flags what's streaming on your services right now. Trigger phrases: `what should I watch tonight`, `where can I stream <title>`, `rate <title>`, `compare <title> and <title>`, `what's <person>'s filmography`, `plan a <franchise> marathon`, `use movie-goat`, `run movie-goat`.
在给定关键词下拆解所有竞品 ASIN 的流量来源——自然搜索、SP 广告、SB 品牌广告、SBV 视频广告、SP 推荐、AC/ER/TR 等推荐位，支持按 ASIN 过滤、指定日期区间及新进流量词等筛选。当用户提到关键词流量来源、该关键词下哪些竞品在抢流量、自然流量与付费流量占比、SP广告曝光、品牌广告占比、SP推荐位、推荐位广告/非广告拆分、搜索展示分析、Amazon's Choice或编辑推荐曝光、关键词竞争格局、ASIN流量构成、keyword traffic, traffic structure analysis, search share, ad share, traffic source distribution, SIF, traffic analysis, SP recommendation, recommend position breakdown时触发此技能。即使用户未明确提及"SIF"，只要其需求涉及在某关键词下分析竞品 ASIN 的流量来源分布，也应触发此技能。
Establish CPU/GPU baselines before resource-intensive operations.
Use GitHits CLI for canonical open-source examples, indexed source, docs, grep, file listing, and code navigation. Activate when verifying library behavior from source or examples. For metadata, vulnerabilities, dependency graphs, or changelogs, use githits-package instead.