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Found 4,751 Skills
Audit Claude Code configuration health across all layers (CLAUDE.md, rules, skills, hooks, MCP). Run periodically or when collaboration feels off.
Multi-agent orchestration using dmux (tmux pane manager for AI agents). Patterns for parallel agent workflows across Claude Code, Codex, OpenCode, and other harnesses. Use when running multiple agent sessions in parallel or coordinating multi-agent development workflows.
Integrate Mem0 Platform into AI applications for persistent memory, personalization, and semantic search. Use this skill when the user mentions "mem0", "memory layer", "remember user preferences", "persistent context", "personalization", or needs to add long-term memory to chatbots, agents, or AI apps. Covers Python and TypeScript SDKs, framework integrations (LangChain, CrewAI, Vercel AI SDK, OpenAI Agents SDK, Pipecat), and the full Platform API. Use even when the user doesn't explicitly say "mem0" but describes needing conversation memory, user context retention, or knowledge retrieval across sessions.
AUTOMATIC ACTIVATION: Use this skill whenever generating content for social media platforms including Reddit posts, Twitter/X threads, LinkedIn posts, YouTube videos/comments, TikTok scripts, Instagram posts/reels, email subject lines, blog titles, or any content intended for public engagement. Also triggers on: "make this viral", "social media post", "catchy headline", "hook", "engagement", "shareable", "go viral", "attention-grabbing", "clickable", "scroll-stopping", "title ideas", "hot take", "more engaging", "subreddit", "thread". Apply to any AI-generated content facing public audience or hostile perception.
Use this skill when managing persistent user memory in ~/.memory/ - a structured, hierarchical second brain for AI agents. Triggers on conversation start (auto-load relevant memories by matching context against tags), "remember this", "what do you know about X", "update my memory", completing complex tasks (auto-propose saving learnings), onboarding a new user, searching past learnings, or maintaining the memory graph - splitting large files, pruning stale entries, and updating cross-references.
OmniStudio Integration Procedure creation and validation with 110-point scoring. Use when building server-side process orchestrations that combine Data Mapper actions, Apex Remote Actions, HTTP callouts, and conditional logic. TRIGGER when: user creates Integration Procedures, adds Data Mapper steps, configures Remote Actions, or reviews existing IP configurations. DO NOT TRIGGER when: building OmniScripts (use sf-omniscript), creating Data Mappers directly (use sf-datamapper), or analyzing cross-component dependencies (use sf-omnistudio-analyze).
What tokens is smart money accumulating before they pump? Token screener with SM filter cross-referenced against netflow.
OmniStudio Integration Procedure creation and validation with 110-point scoring. Use when building server-side process orchestrations that combine Data Mapper actions, Apex Remote Actions, HTTP callouts, and conditional logic. TRIGGER when: user creates Integration Procedures, adds Data Mapper steps, configures Remote Actions, or reviews existing IP configurations. DO NOT TRIGGER when: building OmniScripts (use sf-industry-commoncore-omniscript), creating Data Mappers directly (use sf-industry-commoncore-datamapper), or analyzing cross-component dependencies (use sf-industry-commoncore-omnistudio-analyze).
Cross-cutting OmniStudio analysis skill for namespace detection, dependency visualization, and impact analysis across OmniScripts, FlexCards, Integration Procedures, and Data Mappers. TRIGGER when: user asks about OmniStudio dependencies, wants namespace detection (Core vs vlocity_cmt vs vlocity_ins), needs impact analysis, or requests dependency diagrams. DO NOT TRIGGER when: authoring OmniScripts (use sf-industry-commoncore-omniscript), building FlexCards (use sf-industry-commoncore-flexcard), creating Integration Procedures (use sf-industry-commoncore-integration-procedure), or configuring Data Mappers (use sf-industry-commoncore-datamapper).
Semantic search, context management, and document indexing via OpenViking. Use when the user asks to: index/import documents or files into a knowledge base, perform semantic search across indexed content, browse or explore indexed resources, get summaries/overviews of indexed documents, manage an OpenViking instance, or integrate structured context retrieval into workflows. Also use when sub-agents need to retrieve relevant context from a large document collection.
Coordinate PR mining to extract tribal knowledge and coding standards from GitHub PR history. Use when mining review comments, extracting coding rules, tracking mining jobs, or analyzing reviewer patterns across repositories. Use for "mine PRs", "extract standards", "coding rules from reviews", or "reviewer patterns". Do NOT use for code review, linting, static analysis, or writing new coding standards from scratch without PR data.
Intelligent media optimization with automated workflows for images, videos, and SVGs. Includes decision trees that detect LCP images (triggers format/lazy-loading/priority analysis), identify layout shift risks (missing dimensions), and flag lazy loading issues (above-fold lazy or below-fold eager). Features workflows for complete media audit, LCP image investigation, video performance (poster optimization), and SVG embedded bitmap detection. Cross-skill integration with Core Web Vitals (LCP/CLS impact) and Loading (priority hints, resource preloading). Provides performance budgets and format recommendations based on content type. Use when the user asks about image optimization, LCP is an image/video, layout shifts from media, or media loading strategy. Compatible with Chrome DevTools MCP.