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Found 1,040 Skills
Advanced call control features including DTMF sending, SIPREC recording, noise suppression, client state, and supervisor controls. This skill provides Ruby SDK examples.
Collect DTMF input and speech from callers using standard gather or AI-powered gather. Build interactive voice menus and AI voice assistants. This skill provides JavaScript SDK examples.
Structured git commit messages following Conventional Commits format for Go projects. Generates well-scoped, atomic commits with clear descriptions. Use when committing changes, writing commit messages, preparing PRs, or reviewing commit history quality. Trigger examples: "commit these changes", "create commit", "commit message", "prepare PR", "squash commits". Do NOT use for changelog generation (use changelog-generator) or code review (use go-code-review).
Guide for adding new AI function examples, for testing specific features against the actual provider APIs.
This skill should be used when a user wants to create, draft, or plan a GitHub Epic issue — for example "write an epic", "I want to define a new initiative", "scope out this strategic project", "turn this idea into an epic", "plan work that spans multiple features", or "start from a bounded context". Also use when the user asks to define domain outcomes, capture a large initiative before breaking it into features, or describe work in terms of business goals rather than technical tasks.
This skill should be used when a developer or QA engineer wants to report a bug, create a bug ticket, document a test failure, log a defect, file an issue found during a QA session, or report something that is broken — for example "report a bug", "create a bug ticket", "I found a defect", "something is broken in task
Integrate markstream-angular into an Angular app. Use when Codex needs standalone component imports, signal-based examples, CSS wiring, custom HTML tags or customComponents setup, or optional peer integration in an Angular repository.
Get an external patent examiner review of a patent application. Use when user says "专利审查", "patent review", "审查意见", "examiner review", or wants critical feedback on patent claims and specification.
Analyze broker-dealer recommendations under SEC Regulation Best Interest's four obligations: Disclosure, Care, Conflict of Interest, and Compliance. Use when the user asks whether a recommendation satisfies Reg BI, what triggers the 'recommendation' standard, how to evaluate reasonably available alternatives, rollover recommendation compliance, dual-registrant capacity disclosure, share class or account type recommendations, or Reg BI examination preparation. Also trigger when users mention 'best interest standard for brokers', 'is this a Reg BI recommendation', 'care obligation documentation', 'sales contest elimination requirement', 'Form CRS delivery', or ask how Reg BI differs from suitability or fiduciary duty.
Generate Python code for Naver Open APIs (News Search, Blog Search, Web Search, Datalab Trends, Image Search, Book Search, and other openapi.naver.com APIs). Use this skill whenever the user wants to call Naver APIs, search Naver News/Blog/Web/Images, fetch Datalab keyword trends, or write Python scripts that interact with Naver's Open API platform. This includes requests for code examples, API integration, parameter explanations, endpoint lookup, or troubleshooting Naver Open API calls. Even if the user just mentions 'Naver API', 'Naver news data', 'search trends', or 'openapi.naver.com', activate this skill immediately.
Ultra-compressed response mode. Cuts token usage by dropping articles, filler, pleasantries, and hedging. Uses symbols for relationships. Technical terms and code blocks remain exact and uncompressed. Use when user says "save tokens", "RTU mode", "compress", or "be brief".
Required reading before writing any HogQL/SQL or calling execute-sql against PostHog. Use whenever the user wants to search, find, or do complex aggregations PostHog entities (insights, dashboards, cohorts, feature flags, experiments, surveys, hog flows, data warehouse, persons, etc.) and query analytics data (trends, funnels, retention, lifecycle, paths, stickiness, web analytics, error tracking, logs, sessions, LLM traces). Covers HogQL syntax differences from ClickHouse SQL, system table schemas (system.*), available functions, query examples, and the schema-discovery workflow.