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Found 4,745 Skills
Deterministic 4-phase documentation drift detector: Scan, Cross-Reference, Detect, Report. Use when skills/agents/commands are added, removed, or renamed, when README files seem outdated, or before committing documentation changes. Use for "check docs", "sync README", "documentation audit", or "stale entries". Do NOT use for writing documentation content, improving descriptions, or generating new README files.
Implement Syncfusion React DropDownList component for single-value selection from predefined lists. Use this when working with dropdowns, select boxes, or single-select lists. This skill covers installation, data binding (local arrays, JSON objects, remote/OData), filtering, grouping, templates, value binding, virtual scrolling, cascading dropdowns, accessibility, styling, and localization.
Write, review, and improve prompts for any LLM — Claude, GPT, Gemini, Llama, DeepSeek, Mistral, Cohere, Qwen, Grok, Nova, and more. Use when the user asks to "write a system prompt", "improve this prompt", "review my prompt", "make a prompt for", "optimize my prompt", "fix my prompt", "why isn't my prompt working", or wants help writing better prompts for any AI model. Also use when building agents, chatbots, or AI assistants that need system-level instructions, or when the user has a bad prompt they want rewritten. Covers system prompts, task prompts, tool descriptions, and general prompt improvement across all major model families.
Universal deep research agent team. 13-agent pipeline for rigorous academic research on any topic. 7 modes: full research, quick brief, paper review, lit-review, fact-check, Socratic guided research dialogue, and systematic review with optional meta-analysis. Covers research question formulation, Socratic mentoring, methodology design, systematic literature search, source verification, cross-source synthesis, risk of bias assessment, meta-analysis, APA 7.0 report compilation, editorial review, devil's advocate challenges, ethics review, and post-research literature monitoring. Triggers on: research, deep research, literature review, systematic review, meta-analysis, PRISMA, evidence synthesis, fact-check, guide my research, help me think through, 研究, 深度研究, 文獻回顧, 文獻探討, 系統性回顧, 後設分析, 事實查核, 引導我的研究, 幫我釐清, 幫我想想, 我不確定要研究什麼, 研究方向, 研究主題.
Use this skill for ANY multi-pane or multi-agent terminal orchestration in cmux. Required when the user wants to: run things in parallel in separate terminal panes, split the terminal, spawn a sub-agent (Claude Code, Codex) in another pane, fan out tasks across splits, send keystrokes or text to another pane (including ctrl-c), read terminal output from another pane, update sidebar status or progress bar, open a URL in cmux's built-in browser pane, or display markdown preview alongside the terminal. The cmux CLI is the ONLY way to do these things — Bash cannot split panes or spawn agents. Trigger phrases: 'in parallel', 'split pane', 'spawn agent', 'fan out', 'new pane', 'browser pane', 'sidebar', 'send to pane', 'read from pane', 'show the plan', 'ctrl-c to', '分屏', '并行', '开个 pane'. NOT for: single command execution, basic bash operations, or questions about tmux.
Mailshake platform help — campaigns, Lead Catcher, recipients, senders, webhooks, API, analytics, integrations, deliverability settings. Use when asking 'how do I do X in Mailshake', configuring Mailshake settings, setting up Lead Catcher, managing campaigns/recipients, connecting integrations, or using the Mailshake API. Do NOT use for building prospect lists (use /sales-prospect-list), enriching contacts (use /sales-enrich), designing cadence strategy (use /sales-cadence), or cross-platform deliverability (use /sales-deliverability).
Woodpecker.co platform help — cold email campaigns, condition-based sequences, email warmup, Bounce Shield, Adaptive Sending, email verification, inbox rotation, centralized inbox, LinkedIn automation, Lead Finder, agency panel, API & webhooks. Use when asking 'how do I do X in Woodpecker', setting up Woodpecker campaigns, configuring Woodpecker warmup or deliverability, using Woodpecker's agency panel, or troubleshooting Woodpecker sending issues. Do NOT use for general outbound cadence strategy (use /sales-cadence), cross-platform email deliverability (use /sales-deliverability), email tracking strategy (use /sales-email-tracking), building prospect lists (use /sales-prospect-list), or connecting Woodpecker to other tools via Zapier (use /sales-integration).
Reply.io platform help — multichannel sequences (email, LinkedIn, calls, SMS, WhatsApp), Jason AI SDR, B2B database, email warmup, deliverability tools, unified inbox, analytics, Salesforce/HubSpot integration, agency features. Use when asking 'how do I do X in Reply.io', setting up Reply.io sequences, configuring Jason AI, connecting Reply.io to Salesforce or HubSpot, using Reply.io warmup, or troubleshooting Reply.io deliverability. Do NOT use for general outbound cadence strategy (use /sales-cadence), cross-platform email deliverability (use /sales-deliverability), email tracking strategy (use /sales-email-tracking), building prospect lists (use /sales-prospect-list), or connecting Reply.io to other tools via Zapier (use /sales-integration).
Use when planning a multi-article content strategy from a research corpus, creating domain maps for content topology, building production plans for pillar and cluster articles, or tracking cross-article production.
Production-first enterprise skill for The Composable Architecture (TCA) with SwiftUI (iOS 16+, TCA 1.7+). This skill should be used when building new TCA features with @Reducer macro, decomposing god reducers, implementing StackState/StackAction navigation or tree-based @Presents navigation, writing TestStore tests, migrating legacy TCA code to modern @ObservableState patterns, debugging TCA performance issues, managing side effects and dependencies with @DependencyClient, or reviewing TCA code for anti-patterns. Use this skill any time someone works with TCA reducers, stores, effects, or dependencies — AI tools consistently generate outdated pre-1.7 TCA patterns, so this skill is essential for correct code.
Browse and search Bitrefill's 1,500+ gift cards, top-ups, and eSIMs across 180+ countries. Filter by brand, category, or country — no credentials required.
Augments Trailmark code graphs with external audit findings from SARIF static analysis results and weAudit annotation files. Maps findings to graph nodes by file and line overlap, creates severity-based subgraphs, and enables cross-referencing findings with pre-analysis data (blast radius, taint, etc.). Use when projecting SARIF results onto a code graph, overlaying weAudit annotations, cross-referencing Semgrep or CodeQL findings with call graph data, or visualizing audit findings in the context of code structure.