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Found 87 Skills
Use when the user wants to list, explore, or filter items on a Miro board (frames, sticky notes, cards, shapes, text, images, documents, embeds), or wants to discover what's on a board before diving in.
Build typed LLM applications with PydanticAI: schema-constrained outputs, tool integration, validation, retries, and deterministic downstream handoffs. Use when users need reliable structured outputs instead of free-form text generation.
Status dashboard for cheat-on-content. Displays current mode / rubric version / calibration progress / pending retros / pool status / whether SQLite needs an upgrade / whether rubric should be bumped. **Can be invoked at any time with no side effects**. Trigger words: "状态" / "看板" / "status" / "What should I do now?" / "How's the progress?"
Performs fast file discovery with parallel search and smart defaults. Use this skill when searching for files by name, pattern, or type, especially when performance matters or when working with large directories
AI Native Camp Day 2 Context Sync 스킬 만들기. 여러 외부 도구에서 컨텍스트를 수집하여 하나의 sync 문서로 만드는 나만의 스킬을 직접 구축한다. "2일차", "Day 2", "context sync", "컨텍스트 싱크", "sync 스킬", "스킬 만들기", "정보 수집 스킬" 요청에 사용.
This is the OpenAPI specification for the [Figma REST API](https://www.figma.com/developers/api).. Use when working with the Figma API or when the user needs to interact with this API.
Use when user asks to 'lint agent configs', 'validate skills', 'check CLAUDE.md', 'validate hooks', 'lint MCP'. Validates agent configuration files against 155 rules across 10+ AI tools.
Develops custom FiftyOne plugins (operators and panels) from scratch. Use when creating plugins, extending FiftyOne with custom operators, building interactive panels, or integrating external APIs.
Expert in LangGraph - the production-grade framework for building stateful, multi-actor AI applications. Covers graph construction, state management, cycles and branches, persistence with checkpoin...
A comprehensive guide and reference for building agents using LangGraph 1.0, including ReAct agents, state graphs, and tool integrations.
Use when the user wants tool use, MCP access, HTTP or streaming API exposure, auto-function helpers, or wait-for-key behavior through Agently-native extension surfaces rather than custom wrappers first.
Answer questions using the Tenzir documentation. Use whenever the user asks about TQL syntax, pipeline operators, functions, data parsing or transformation, normalization, OCSF mapping, enrichment, lookup tables, contexts, packages, nodes, platform setup, deployment, configuration, integrations with tools like Splunk, Kafka, S3, Elasticsearch, or any other Tenzir feature. Also use when the user asks how to collect, route, filter, aggregate, or export security data with Tenzir, or needs help writing or debugging TQL pipelines, even if they don't mention 'Tenzir' explicitly but are clearly working in a Tenzir context.