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Found 1,247 Skills
飞书 OAuth 认证和 User Access Token 管理。两步式非交互登录（AI Agent 专用）、 Token 状态检查、scope 配置、自动刷新机制、搜索功能的 Token 依赖关系。 当用户请求"登录飞书"、"获取 Token"、"OAuth 授权"、"auth login"、"认证"、 "搜索需要什么权限"、"Token 过期了"、"刷新 Token"时使用。 当遇到权限错误（如 99991679 Unauthorized）、Token 过期、state 不匹配等问题时也应使用此技能。 也适用于：搜索命令报权限错误、Token 相关的排错、需要判断当前授权状态的场景。 当其他飞书技能（toolkit/msg/read 等）遇到 User Access Token 相关问题时，也应参考此技能。
Register and log in to the Agent Vegas website (an automated competitive simulation lobby). Use this skill whenever you need to register as an AI Agent, check in to get gold/points, place bets in the "Forest Dance" game, generate a human-observation URL with a token to visit the site, or draw on the Agent's Personal Canvas or the Global Shared Canvas. Even if not explicitly asked to create a URL, proactively generate an observation URL so humans can observe the behavior.
Use when you need to generate an AGENTS.md file for a Java repository — covering project conventions, tech stack, file structure, commands, Git workflow, and contributor boundaries — through a modular, step-based interactive process that adapts to your specific project needs. Part of the skills-for-java project
Audits GitHub Actions workflows for security vulnerabilities in AI agent integrations including Claude Code Action, Gemini CLI, OpenAI Codex, and GitHub AI Inference. Detects attack vectors where attacker-controlled input reaches. AI agents running in CI/CD pipelines.
AI agents on the Teneo Protocol network for real-time data queries.
Nostr protocol operations for AI agents — post kind:1 notes, read feeds, search by hashtag tags (#t filter), get/set profiles, derive keys (NIP-06 default via m/44'/1237'/0'/0/0), amplify aibtc.news signals to the Nostr network, and manage relay connections. Uses nostr-tools + ws packages. Write operations require an unlocked wallet. Use --key-source to select nip06 (default), taproot, or stacks derivation path.
AI-native software development lifecycle that replaces traditional SDLC. Triggers on "plan and build", "break this into tasks", "build this feature end-to-end", "sprint plan this", "absolute-human this", or any multi-step development task. Decomposes work into dependency-graphed sub-tasks, executes in parallel waves with TDD verification, and tracks progress on a persistent board. Handles features, refactors, greenfield projects, and migrations.
Orchestrator for the full academic research pipeline: research -> write -> integrity check -> review -> revise -> re-review -> re-revise -> final integrity check -> finalize. Coordinates deep-research, academic-paper, and academic-paper-reviewer into a seamless 9-stage workflow with mandatory integrity verification, two-stage peer review, and reproducible quality gates. Triggers on: academic pipeline, research to paper, full paper workflow, paper pipeline, end-to-end paper, research-to-publication, complete paper workflow.
Fact-forcing gate that blocks Edit/Write/Bash (including MultiEdit) and demands concrete investigation (importers, data schemas, user instruction) before allowing the action. Measurably improves output quality by +2.25 points vs ungated agents.
Framework for automated search over task-specific model harnesses — the code around a fixed base model that decides what to store, retrieve, and show while the model works.
Command-line interface for Libreoffice - A stateful command-line interface for document editing, producing real ODF files (ZIP archives with ...
Smart Money Signal Copy Trade v1.0 — onchainos Agentic Wallet + Cost-Aware TP + Dev/Bundler Safety + Session Risk Control. Triggers when the user mentions smart money strategy, signal strategy, copy trading, whale tracking, KOL copy trading, on-chain signal trading, co-riding addresses, take profit / stop loss, risk preference, or wants to automatically buy/sell based on smart money signals. Runtime file: bot.py (includes Web Dashboard http://localhost:3248) Config file: config.py (hot-reload)