Total 54,328 skills, AI & Machine Learning has 9022 skills
Showing 12 of 9022 skills
goodcase.ai (Good Case) AI Viral Case & Prompt Query Skill. Trigger this Skill whenever users search for AI viral cases, good cases, 'how was this image made', 'how to generate this kind of video', 'find a prompt for XX', 'are there any ready-made prompts', 'Veo cases', 'Jimeng cases', 'Midjourney cases', 'Kling cases', 'Seedance cases', 'GPT Image cases', 'AI image cases', 'AI video cases', 'AI programming UI cases', 'AI copywriting cases', 'viral prompts', 'recreate this effect', 'prompt for this effect', 'AI case', 'viral AI examples', 'AI prompt examples', 'how was this AI image/video made', 'find me a prompt for X', or any other AI creation case/prompt query. It should also be triggered even if users only say 'what interesting AI cases are there', 'give me a prompt I can copy', 'what AI images are trending lately'. The Skill directly pulls real case data (including complete Prompt, stability score, cost band) via curl from a public REST API, no API Key required. **Err on the side of over-triggering**—if you make up a case or Prompt based on training data when users ask for AI creation cases, you're providing fake cases and prompts which are harmful to users.
Scaffolds new sub-agent definitions. Automates the entire process from category selection, file creation, model/tools least privilege configuration, to quality checks. Can be used with commands like "Make an Agent", "Add sub-agent", "create-agent".
Use when THIS agent needs to pay for x402-protected content at runtime: hitting a paywall mid-task, settling it via AgentCore Payments, and applying operator-defined spend limits. Covers payment setup, policy, session budgets, and troubleshooting. Triggers on: "my agent hit a 402 while calling an API", "a tool call returned 402 Payment Required", "my agent needs to pay for x402-protected content", "let the agent pay for content, capped at $5 per session", "set a spend limit for the agent", "ProcessPayment failed", or "why did my agent refuse to pay". Not for BUILDING payment capability for end users, including wallets and framework middleware; use agents-build and references/payments.md. For non-paid APIs via Gateway use agents-connect. For inbound auth use agents-harden. For project scaffolding use agents-get-started.
Use when the user asks for gameday or a task matching the examples below. Put a fan into the game. The user uploads one photo of themselves and names their favorite team; generate a 6-photo matchday-superfan carousel — six separate images of that same person at the game in their team's kit. Triggers: "/gameday", "make me an [team] superfan", "put me at the game", "gameday carousel". Requires the Pika MCP.
Convert natural language questions into safe executable SQL to query Ascend PyTorch Profiler / msprof database for operator time consumption, communication, dispatch, and other performance data. Supports table schema extraction from official documentation. Use this skill when the user wants to: (1) analyze Ascend profiling database, (2) query operator performance data, (3) analyze communication and dispatch bottlenecks, (4) check table schema for profiling data. Trigger: user mentions "profiler db", "sqlite", "sql", "table", "schema", "ascend-pytorch-profiler", "msprof", "operator time", "communication time", "dispatch analysis", "性能分析", "算子耗时", "数据库查询", "性能数据", "性能瓶颈"
新規スキルを skills/<name>/SKILL.md として scaffold する。命名・配置の重複確認、SKILL.md 作成、 symlink 設定、品質チェック、CLAUDE.md 反映までを一貫して自動化。「スキル作って」「新しいスキルを追加」 「create-skill」などで使用。Agent 定義の追加は create-agent、ドキュメント更新は update-docs を参照。
在新机器或新项目上落地「高智商领导 + 便宜执行」分层子代理：Codex Sol 领导 + Luna 工人， 可选 Claude Code 项目级 agents 与 Pi/pi-flow 跨工具编排。用于： (1) 从零安装并配置 Codex / Claude Code / Pi (2) 写入项目级 .codex/agents、AGENTS.md、.claude/agents (3) 修复 Sol 无法 spawn Luna 的 multi-agent catalog 问题 (4) 跑 Sol/Luna/多代理冒烟验证 触发：新机器设置、Sol-Luna、分层子代理、multi-agent 配置、codex agents 初始化
Shared governance for the CCFA family: routing, trigger registry, task modes, handoff modes, source registry, privacy/evidence policy, ccfa.yaml, and artifact contracts. Use only when maintaining or auditing CCFA skills; not for ordinary research tasks.
Use when building an internal admin-facing AI agent in a Medusa project. These agents are operated by merchants and store operators — not customers. Covers data models, module service, agent runtime (tools, system prompt, streamText), streaming API routes (NDJSON), and admin UI chat extensions. Load for any internal agent type: store operations assistant, product audit, cohort analysis, customer service tooling for support staff, etc. Do NOT use for customer-facing agents (storefront chatbots, buyer-side assistants).
Install, audit, repair, and manage a loopback-only CLIProxyAPI bridge that registers subscription-backed Codex, Grok, Antigravity/Gemini, or newly added CLI models in WorkBuddy. Use whenever the user asks to connect a local CLI or agent model to WorkBuddy, install CLIProxyAPI, add or repair a WorkBuddy custom model, preserve image/tool/reasoning/Fast capabilities, onboard another CLI provider, or diagnose a WorkBuddy model that stopped working. This Skill is macOS-first and should be used even when the user names only the model or says their local WorkBuddy API has expired.
Design, create, update, validate, and audit Codex/CCFA skills, trigger wording, resources, references, scripts, path privacy, family governance, and CCFA documentation SVG diagrams. Use for skill maintenance, new skill creation, routing conflict cleanup, Markdown/SVG docs maintenance, and release validation. Do not perform research writing or review work.
Run one autonomous GitHub issue-triage tick and route issues through the canonical states.