技能与智能体开发
5,949 个结果
- LavishkunchenguidTurn complex or visual agent responses into rich, reviewable HTML artifacts (HTML files) the user can annotate and send feedback on, using the lavish-axi CLI. Use when about to give a plan, comparison, diagram, table, code diff, report, or anything easier to grasp visually than as prose.
- Serenity SkillmuxuuuResearch technology and advanced-manufacturing investments using Serenity-inspired supply-chain bottleneck analysis. Use for theme scans, company thesis challenges, candidate comparisons, or learning this method. Prioritize A-shares unless another market is requested. Return research priorities, dated evidence, profit implications, and conditions that would change the judgment.
- Kebab Makerkagent-devA skill that makes a kebab for the user.
- Gohighlevelnowork-studioOperate connected GoHighLevel CRM accounts through the NotFair MCP. Use for GoHighLevel, HighLevel, GHL contacts, conversations, opportunities, calendars, pipelines, tags, tasks, forms, invoices, products, or approved CRM changes.
- Paid Adsnowork-studioCoordinate safe, evidence-based paid-media work across Google Ads, Meta Ads, X Ads, LinkedIn Ads, Reddit Ads, TikTok Ads, Amazon, and ChatGPT Ads. Use for broad ads questions, multi-channel strategy, budgets, CPA or ROAS, campaign requests, spend, ad performance, or when routing to the right NotFair paid-ads skill.
- Paid Ads Guidenowork-studioExplain NotFair's paid-ads skills, installation, platform boundaries, account connections, and current product capabilities. Use for questions about how NotFair works, what it supports, how to install or connect it, plans or limits, or paid-media troubleshooting that is not an account-performance request.
- Paid Ads Integrationsnowork-studioDiscover, connect, and verify NotFair paid-ad integrations and their actual capabilities. Use when asked to connect an ad account, configure an ads MCP, check available tools, troubleshoot access, or determine whether NotFair can read or change a platform.
- Bug Hunt SwarmdimillianParallel read-only multi-agent root-cause investigation for bugs, regressions, crashes, flaky behavior, or unexplained failures. Use when the user asks to investigate a bug, find the root cause, trace a regression, understand why something broke, or wants a ranked diagnosis with the fastest proof path without making code edits.
- Agent Context IsolationparcadeiAgent Context Isolation
- Agent OrchestrationparcadeiAgent Orchestration Rules
- Agentic WorkflowparcadeiAgentic Workflow Pattern
- Agentica Claude ProxyparcadeiGuide for integrating Agentica SDK with Claude Code CLI proxy
- Agentica SdkparcadeiBuild Python agents with Agentica SDK - @agentic decorator, spawn(), persistence, MCP integration
- Agentica SpawnparcadeiSpawn Agentica multi-agent patterns
- Ast Grep FindparcadeiAST-based code search and refactoring via ast-grep MCP
- Background Agent PingsparcadeiBackground Agent Pings
- Braintrust AnalyzeparcadeiAnalyze Claude Code sessions via Braintrust
- Braintrust TracingparcadeiBraintrust tracing for Claude Code - hook architecture, sub-agent correlation, debugging
- BuildparcadeiWorkflow orchestrator that chains existing skills for feature development
- Cli ReferenceparcadeiClaude Code CLI commands, flags, headless mode, and automation patterns
- Compound LearningsparcadeiTransform session learnings into permanent capabilities (skills, rules, agents). Use when asked to "improve setup", "learn from sessions", "compound learnings", or "what patterns should become skills".
- ExploreparcadeiMeta-skill for internal codebase exploration at varying depths (quick/deep/architecture)
- Github SearchparcadeiSearch GitHub code, repositories, issues, and PRs via MCP
- HelpparcadeiInteractive workspace discovery - learn what tools, workflows, agents, and hooks are available