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Found 9,571 Skills
Build, develop, and publish GitBook integrations — apps that run inside GitBook to add custom blocks, react to events, connect external services via OAuth, and extend the editor. Use this skill whenever a task involves the GitBook integrations platform: scaffolding an integration with the GitBook CLI (`gitbook new`), writing or editing an integration's code (`createIntegration`, `createComponent`, ContentKit TSX), configuring `gitbook-manifest.yaml` (scopes, blocks, configurations, secrets), building custom editor blocks or link unfurlers, handling GitBook events like `space_content_updated`, setting up an integration's OAuth flow, running `gitbook dev`, or publishing an integration (private/unlisted/public, marketplace submission). Trigger this even if the user just says they want to 'build an app for GitBook', 'add a custom block', or 'connect <some tool> to GitBook' without saying the word 'integration'.
gate-dex CLI swap skill: one-shot DEX swap (quote → GV checkin → sign → broadcast) via the swap command. GV checkin built in — no external binary. Supports EVM multi-chain and Solana, with ERC20 approve flow. Use this skill whenever the user wants to swap, exchange, buy, sell, convert, or bridge tokens via the gate-dex CLI. Trigger phrases include swap, exchange, buy, sell, convert, bridge, cross-chain, quote, swap history, swap detail, swap-tokens, bridge-tokens.
Guided experiment-loop retrospective over the ax agent-experience graph. Walks the user through their open proposals (accept-with-scaffold or reject), pending verdicts (confirm the suggested verdict or override), and recent harness-hook effectiveness signal. Triggers when the user says "let's do an ax retro", "ax retrospective", "review my ax proposals", "triage proposals", "experiment loop status", "lock pending verdicts", "hook effectiveness review", "intervention review", "self-improvement session", or invokes /ax:retro. Reads/writes via the local `ax improve` and `ax hooks` CLIs. Do NOT auto-trigger on unrelated work.
TQX (tqx.trade) HK/US stock quant: factor analysis, strategy backtests, and agent-driven trading (paper or live) via the TQX CLIs. Use when the user wants to run factor IC/IR analysis, backtest a Python trading strategy on Hong Kong or US stocks, or set up agent-automated trading on a paper or live account (e.g. "backtest a moving-average strategy on AAPL", "analyze a momentum factor on HK stocks", "let the agent trade my TQX account", "join the TQX trading competition").
Hunt for real bugs in the vigiles CLI/codebase with a parallel expert fan-out, then FIX them directly — source-trace each defect to file:line, add a regression test, commit per theme. Use when asked to dogfood vigiles, find/fix bugs across the CLI the source-traced way, or fan out agents to audit the tool on itself.
Install, audit, repair, and manage Codex custom model Providers and model catalogs backed by a loopback CLIProxyAPI or Codex Router. Use whenever the user asks to add, remove, upgrade, restore, or diagnose third-party models in Codex or the Codex desktop model picker; mentions Grok, OpenCode Go, DeepSeek, Gemini, GLM Coding Plan, GLM-5.3, subscription-backed CLI models, custom model_provider, model_catalog_json, or Codex Fast mode; or wants the same local proxy models synchronized between Codex and WorkBuddy. Preserve unrelated Codex configuration and credentials. Isolated profile is the default Windows path.
Define Serverpod endpoints, use Session, pass parameters, and call from client. Use when creating RPC endpoints, working with Session, or client code generation.
Drive an Upstash Box (a remote sandboxed workspace) from the terminal with the `box` CLI. Use when asked to run commands, edit files, clone repos, run builds or tests, publish a public URL, browse or screenshot a page, open a pull request or issue with a screenshot attached, schedule recurring work, run an AI agent, or do any work inside a box rather than on this machine.
Choose Roblox services, script locations, and execution contexts. Use for Luau types, serialization, module loading, streaming, and client-server data model questions.
Join the Antasphere Hackathon from zero to the team's app running locally. Checks Node.js, installs the hackathon CLI, runs hackathon doctor early to fix the machine (git, Docker, disk), signs the participant in with their Antasphere account, checks their place on the roster, sets their GitHub username, waits for them to accept the repository invitation, clones the team repository, starts the app and opens it, then gives the team its project description and states the deadlines and the pacing, with a final doctor run. Use when a participant says "join the hackathon", "set me up", "get started", "install the hackathon", "clone our team repo", or has just installed this plugin.
Comprehensive healthcare AI toolkit for developing, testing, and deploying machine learning models with clinical data. This skill should be used when working with electronic health records (EHR), clinical prediction tasks (mortality, readmission, drug recommendation), medical coding systems (ICD, NDC, ATC), physiological signals (EEG, ECG), healthcare datasets (MIMIC-III/IV, eICU, OMOP), or implementing deep learning models for healthcare applications (RETAIN, SafeDrug, Transformer, GNN).
This skill provides comprehensive instructions for using gogcli (gog), a fast, script-friendly CLI for Google Workspace services including Gmail, Calendar, Drive, Docs, Sheets, Slides, Chat, Classroom, Contacts, Tasks, People, Groups, and Keep. This skill should be used when the user wants to interact with Google services via the command line, including reading/sending email, managing calendar events, working with Google Drive files, managing classroom courses, or any other Google Workspace operations. The skill assumes gog is installed and authorised.