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Found 96 Skills
Build structured hierarchical memory systems for LLM agents using GAM (General Agentic Memory) with support for text, video, and agent trajectories
Build Model Context Protocol servers and implementations. Creates protocol-compliant tools and integrations for AI-powered applications.
Help users add knowledge base documents to Runway Characters for domain-specific conversations
NCAA cross country and track & field athlete data via TFRRS (tfrrs.org) and news via The Stride Report. Fetch athlete profiles including all personal records (PRs), eligibility year, school, full season-by-season results history, and XC/TF news. Zero config, no API keys. Use when: user asks about NCAA cross country, NCAA track and field, college running, TFRRS athlete profiles, personal records, PRs, XC or TF season results, individual athlete performance history, or XC/TF news. Don't use when: user asks about professional track, Diamond League, or other sports — use nfl-data, nba-data, wnba-data, nhl-data, mlb-data, golf-data, cfb-data, cbb-data, tennis-data, fastf1, or volleyball-data. For betting use polymarket or kalshi.
Use for any task requiring a real browser: viewing web pages, accessing login-gated sites, operating web UIs, scraping social media (Xiaohongshu/Weibo/Twitter/X, etc.), reading JS-rendered or dynamic pages, bypassing bot detection, form filling, e2e checks, and general web automation. Prefer this over WebFetch whenever the page needs JS execution, authenticated session, interaction, or stealth. Invoke via terminal CLI (`bridgic-browser ...`) or Python SDK (`from bridgic.browser.session import Browser`, `from bridgic.browser.tools import BrowserToolSetBuilder`). Also covers accessibility snapshot refs, CLI-SDK mapping/migration, and generating SDK code from CLI action steps.
Generate images using Codex's ChatGPT backend with zero production dependencies. Reuses existing local Codex authentication (~/.codex/auth.json) — no new credentials needed. Supports CLI (gti command), Node.js library, and Python SDK. Accepts text prompts with optional reference images (PNG/JPG/GIF/WebP). Includes dry-run mode and debug output. Triggers on: god-tibo-imagen, gti, image generation, codex image, chatgpt image, ai image, gpt image generation.
Query Catalog, database, and table metadata resources in Alibaba Cloud Data Lake Formation (DLF). Provides read-only queries via the DLF OpenAPI Python SDK, supporting listing and viewing Catalogs, databases, tables with their detailed information and Schema definitions. Use cases: "list available Catalogs", "list databases", "view table schema", "search tables", "search tables by name", "fuzzy search", "view DLF metadata", "what databases are in the data lake", "what columns does a table have", "find tables whose name contains xxx". This Skill only contains read-only operations — no create, modify, or delete operations.
Queries Huawei Cloud billing and pricing. Covers balances, bills, coupons, cash coupons, stored-value cards, orders, refunds, costs, free resources, resource usage, enterprise accounts, and on-demand/period/ELB/NAT/DCS pricing. No write operations. Use this skill when the user needs to check fees, view bills, estimate prices, review coupon balances, query orders, or get consumption stats. Triggers: 华为云计费, 账单, 余额, 优惠券, 代金券, 储值卡, 订单, 退款, 成本, 资源用量, 询价, 定价, 费用查看, 账单明细, 价格估算, 消费统计, billing, pricing, cost.
Apply production-ready Documenso SDK patterns for TypeScript and Python. Use when implementing Documenso integrations, refactoring SDK usage, or establishing team coding standards for Documenso. Trigger with phrases like "documenso SDK patterns", "documenso best practices", "documenso code patterns", "idiomatic documenso".
Comprehensive guide to the AgentMail Python and TypeScript SDKs. Use when building AI agents that need their own email inboxes, sending or receiving emails programmatically, managing threads and conversations, handling attachments, creating drafts for human-in-the-loop approval, setting up real-time notifications via webhooks or WebSockets, configuring custom domains, managing allow/block lists, using pods for multi-tenant isolation, or integrating email into any AI agent workflow. Covers the full AgentMail API with code examples, best practices, and production patterns.
Vast.ai Python SDK — high-level API for GPU instances, volumes, serverless endpoints, and billing.
Queries Huawei Cloud identity and access management resources (IAM) via read-only Python SDK. Covers users, groups, policies, agencies, AK/SK, MFA devices, login/password/ACL policies, security compliance, and account quotas. No write operations. Use this skill when the user needs to query IAM identity info, check policies/permissions, view agency details, or inspect AK/SK/MFA status. Triggers: IAM, 用户, 用户组, 策略, 委托, 权限, AK/SK, MFA, 密码策略, 安全合规, 身份查询, 身份认证, identity, policy, agency.