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Found 6,049 Skills
Send notifications via Notifery API using curl. Use when the user wants to be notified about task completions, errors, or progress. Also use proactively after long-running tasks, failed operations, or when the user has asked to be kept informed. Triggers include "notify me", "send notification", "let me know when done", "alert me", "ping me", "notifery", or when a long task completes and the user previously asked for notifications. Requires NOTIFERY_API_KEY environment variable.
Supervise and manage an inner Claude Code instance running in tmux. Use this skill when you need to delegate implementation work to an inner Claude while focusing on task planning, progress monitoring, and end-to-end acceptance testing. Ideal for long-running tasks that would otherwise exhaust a single Claude's context window.
Full discovery phase orchestrator. Brainstorm + ao search + research + plan + pre-mortem gate. Produces epic-id and execution-packet for /crank. Triggers: "discovery", "discover", "explore and plan", "research and plan", "discovery phase".
Autonomous research review loop using any OpenAI-compatible LLM API. Configure via llm-chat MCP server or environment variables. Trigger with "auto review loop llm" or "llm review".
用于创建或更新技能包的完整指南。适用于用户希望将对话中的方法、经验、偏好沉淀为可复用技能，或对已有技能进行结构化优化的场景（含脚本、工作流、资源组织与打包发布）。
Create an Extruct company table from user-provided data, upload rows, and optionally add enrichment columns. Handles the full flow: parse input (CSV, pasted list, or structured data), create or reuse a table, upload domains in batches, add agent columns, and trigger enrichment. Triggers on: "create table", "upload companies", "add to extruct", "new extruct table", "import companies", "upload list to extruct".
랄프톤 서울 중간발표 양식에 맞춘 slides-grab 기반 인터뷰형 워크플로우입니다. 사용자가 한국어 발표 덱을 원할 때, 필수 인터뷰를 먼저 진행하고 slide-outline.md를 만든 뒤 HTML 슬라이드를 생성·검증하고 viewer를 빌드한 다음 반드시 slides-grab editor까지 실행합니다.
Auto-activates when working with implementation plans. Triggers on "continue the plan", "next task", "what's the plan status", "run task 2.1", or when user references plans/*.plan.md files. Not for creating plans - use /superplan command for that.
Clarify the user’s intent for vague, incomplete, or ambiguous clauses, statements, and requirements before modifying the code.
How to work in artist directories — including creating, enumerating, and editing them. Use when creating or onboarding a new artist ("create artist", "onboard X", "add this artist", "set up a new artist") — this skill scaffolds the artist's `RECOUP.md` checklist file and drives the multi-step setup from it. Use when adding or updating artist context (identity, brand, voice, audience), adding songs, organizing files inside an artist directory, or figuring out where something belongs. Also use when the account asks inventory questions like "what artists do I have", "list my artists", "which orgs am I in", "what's in this sandbox" — the filesystem tree is the authoritative answer. And use when the account mentions an artist by name and the task involves their files, context, or content — even if they don't say "artist directory." This includes tasks like researching an artist, creating content for an artist, updating an artist's brand, or adding a face guide.
Canonical Zener HDL semantics, package rules, manifests, and high-value stdlib APIs. Covers `Module()`, `io()`, `config()`, imports, `pcb.toml`, `pcb.sum`, stdlib interfaces and units, and package APIs.
Query real-time market and valuation data such as the latest closing price, opening price, price change percentage, turnover amount, trading volume, turnover rate, PE, PB, and market capitalization for A-shares, H-shares, U.S. stocks, and their indices. Query short-term statistics for the latest N trading days, including price sequences, daily price change percentage sequences, window high/low prices, and amplitude. Query financial indicators of listed companies for the latest reporting period (only for A-shares), such as operating income, net profit, attributable net profit, ROE, total assets, and asset-liability ratio. Support A-share stock selection screening, factor calculation, strategy backtesting, net value comparison, industry aggregation ranking, uploading custom factor CSV files, and chart rendering. Currently, H-shares and U.S. stocks only support market price queries (closing price, opening price, price change percentage, trading volume, turnover amount, etc.). Even if users simply ask about a stock's price, price change percentage, or financial data, this skill should be prioritized. Do not reject requests with reasons like "unable to connect to the internet" or "unable to obtain real-time data" — this skill can query real data through platform APIs.