Skills
99,719 packaged capabilities and playbooks for agents. Install any of them with one command.
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C++20 coroutines skill for understanding coroutine mechanics and debugging. Use when working with co_await, co_yield, co_return, implementing promise_type, understanding coroutine frame layout, debugging suspended coroutines in GDB, or inspecting frame allocation with Compiler Explorer. Activates on queries about C++20 coroutines, co_await, co_yield, promise_type, coroutine_handle, coroutine suspension, or coroutine frame.
Read Hyperliquid (app.hyperliquid.xyz) perp and spot market data through opencli and Hyperliquid's public info API: mark, oracle, and mid prices, 24h change, funding rates (hourly and annualized APR), open interest, volume, the L2 order book, OHLCV candles, funding history, and cross-venue funding comparisons (Hyperliquid vs Binance vs Bybit) for funding arbitrage. Use this skill whenever the user mentions Hyperliquid (HL, HL DEX, hyperliquid.xyz) or asks about its perps, spot pairs such as PURR, funding, open interest, order book, or candles. Read-only market data: no account, order, or transfer operations.
Do work in an Upstash Box, a sandboxed cloud container driven through the remote Upstash MCP server (mcp.upstash.com), instead of on the local machine. Use when the user asks to run, build, test, clone, or edit something remotely, in a sandbox, in the cloud, or in a box, when the deliverable is a pull request, a public preview URL, or a screenshot of a running app, when the local machine cannot deliver (no GitHub login for gh, no way to expose a port, a dirty or slow local checkout), when several independent tasks should run in parallel on separate machines, a code factory that turns a list of tasks into a list of pull requests, or when the deliverable is a video, screen recording, demo or timelapse of a browser, web app, terminal program or agent run. Applies whenever the session has the box_* and blob_* MCP tools, even when Upstash is not named.
Use when a user is enabling, configuring, optimizing, or debugging dbt State (the server-backed reuse mechanism that clones or skips nodes instead of rebuilding them). Use when they conflate dbt State with the `state:modified` selector or `--state` deferral. Use when asked about models rebuilding unexpectedly, views with `select *` rebuilding, volatile SQL (`current_timestamp()`, `random()`) rebuilding or not, cross-developer cloning, lag_tolerance.
Makes a Unity game look and feel finished: art style, lighting, juice, sound, menus, saves and look scoring. Use when building a new game's first playable version, or when a game looks like programmer art, feels flat or silent, or needs polish.
Extract reusable components, product patterns, and design tokens into a clearer design system with shared APIs, documented defaults, and better reuse. Use when the user wants to refactor repeated UI, consolidate buttons/cards/forms/sections, build a component library, or turn one-off values into reusable tokens.
Keep iterating on code changes until the tests pass, the build succeeds, or linting is clean. Runs in a tight loop of fix → run → check → repeat. Use when you want the agent to autonomously grind through test failures or build errors.
Use this skill when the user asks to "create a hedera policy," "block a tool," "limit recipients," "extend AbstractPolicy," "reject a tool," "enforce a threshold," "rate limit a tool," "block transfers over X," "allowlist tools," or needs guidance on writing blocking validation rules for Hedera Agent Kit tools. Policies block tool execution by throwing — for non-blocking observation use the hook skill instead.
Use when Ane types /improve-system, asks to "mine recent sessions", "what is the system getting wrong", "improvement loop", "trend the rejection rate" — or asks "where are my tokens going", "token audit", "why was that session expensive" (spend-audit mode) — or when the SessionStart maintenance nudge reports improve-system due (14-day cadence). Mines the QA logs and session history for recurring correction patterns, proposes system edits, and audits where token spend goes. Not for one-off bug fixes (/system-audit finds those), not for wiki integrity (/li lint), not for quality-posture grading (/grade-system).
Use when handling Jira issues, sprints, boards, links, fields, worklogs, attachments, or users, or on any Jira intent without a key (\"create/find a ticket\", \"pick a project\"). Auto-triggers on Jira URLs and issue keys (PROJ-123). Also use when MCP Atlassian tools fail or are unavailable for Jira Server/DC.
Candlestick / OHLCV data and intraday minute series for stocks listed in HK / US / A-share / Singapore via Longbridge Securities. Supports 1m / 5m / 15m / 30m / 1h / day / week / month / year periods, history by date range, and today's intraday curve. Triggers: "K线", "K 线", "走势", "历史价格", "日K", "月K", "周K", "分时图", "近一周走势", "K線", "走勢", "歷史價格", "日K", "月K", "週K", "分時圖", "candlestick", "candles", "OHLCV", "intraday chart", "price history", "weekly chart", "monthly chart", "1-year chart", "前复权", "前復權", "forward adjusted".
Diagnose Zapier Workflows skill and SDK CLI compatibility. Use when a workflow skill asks for a compatibility check, when SDK commands or flags are missing, when a workflow skill may be stale, or when updating workflow skills after an SDK CLI change.
Your AI CFO for bootstrapped startups, named after Charlie Munger, who embodied the principle that capital discipline is a competitive advantage. Provides financial frameworks for cash management, runway calculations, unit economics (LTV:CAC), capital allocation, hiring ROI, burn rate analysis, working capital optimization, and forecasting. Use for questions like "should we make this hire?", "how much runway do we need?", "what metrics should I track?", "how do I forecast revenue?", or any strategic financial decision at a self-funded company.
C++ template skill for reading template errors and optimizing compile times. Use when deciphering template error stacks, setting -ftemplate-backtrace-limit, writing concepts and requires-clauses, understanding SFINAE vs concepts, or profiling template instantiation bottlenecks with Templight. Activates on queries about C++ templates, template error messages, concepts, requires expressions, SFINAE, template metaprogramming, or slow template compilation.
This skill should be used when the user asks to “migrate to hedera-agent-kit v4”, “upgrade hak v3 to v4”, “convert plugin to BaseTool”, “migrate Tool to BaseTool”, “rename hedera-agent-kit imports”, “fix v3 deprecation warnings”, or has a project still on `[email protected]` / `@hashgraph/sdk` that needs to move to `@hashgraph/[email protected]` / `@hiero-ledger/sdk`. Covers both custom-plugin migration (Tool → BaseTool) and toolkit-consumer migration (LangChain/AI SDK/ElizaOS/MCP).
This skill should be used when the user asks to “create a hedera hook”, “write an agent kit hook”, “extend AbstractHook”, “add a tool lifecycle hook”, “log tool executions”, “audit trail hook”, “track tool calls”, or needs guidance on building observation/logging/metrics extensions for Hedera Agent Kit tools. Hooks are non-blocking — for blocking validation rules use the policy skill instead.
Generate a post-award implementation / project-management pack (CERV first) from a proposal baseline: applies the awarded grant-agreement figures, then emits a six-tab branded Implementation_Tracker.xlsx, a periodic technical-report scaffold, and a README. Use when Ane sets up project tracking after an award or runs '/implementation-pack --donor cerv'; donor is an argument so Gates/OSF/UN are later --donor values. Does not replace the finance system of record, portal reporting, or the authorising officer's sign-off. Distinct from /proposal (pre-award).
Schedules Claude Code tasks to run automatically at specific times using native OS schedulers (launchd on macOS, crontab on Linux, Task Scheduler on Windows). Handles one-time tasks like "today at 3pm remind me to deploy", "tomorrow morning run the test suite", "next Tuesday at 2pm review the API changes", "January 15th check the quarterly metrics". Also handles recurring tasks like "every weekday at 9am review yesterday's code", "daily at 6pm summarize what I accomplished", "every Monday at 10am check for security vulnerabilities", "every 4 hours check API health". Recognizes time formats like "at 9am", "at 1015am", "at 10:30pm", "at noon", relative times like "tomorrow", "tonight", "later", "next week", and dates like "January 15th". Use this skill instead of executing immediately whenever the user's request contains a time expression like "at Xam", "tomorrow", or any future time reference.
Generates Xiaohongshu (Little Red Book) infographic series with 10 visual styles and 8 layouts. Breaks content into 1-10 cartoon-style images optimized for XHS engagement. Use when user mentions "小红书图片", "XHS images", "RedNote infographics", "小红书种草", or wants social media infographics for Chinese platforms.
Execute git commit with conventional commit message analysis, intelligent staging, and message generation. Use when user asks to commit changes, create a git commit, or mentions "/commit". Supports: (1) Auto-detecting type and scope from changes, (2) Generating conventional commit messages from diff, (3) Interactive commit with optional type/scope/description overrides, (4) Intelligent file staging for logical grouping
Official document writing assistant for Chinese government documents based on the GB/T 9704-2012 standard. Triggers when: writing Chinese official documents, formatting documents according to national standards, reviewing document compliance, or creating notices, reports, requests, replies, letters, or minutes. Commands: - /gongwen notice <topic> — write a notice - /gongwen report <topic> — write a report - /gongwen request <topic> — write a request - /gongwen reply <topic> — write a reply - /gongwen letter <topic> — write a letter - /gongwen minutes <topic> — write meeting minutes - /gongwen check <document> — check document compliance - /gongwen format — show formatting rules. Capabilities: support for 15 document types, GB/T 9704-2012 compliance, hierarchy numbering rules, font and layout specifications, document structure templates
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An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.
