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Found 5,347 Skills
Industrial AI literature research with mandatory intake questions, venue-aware source prioritization, structured report outputs, and survey draft generation. Use when the user needs up-to-date research on predictive maintenance, intelligent scheduling, industrial anomaly detection, smart manufacturing, cyber-physical systems, edge AI for automation, or crossover robotics-for-industry topics. Also trigger for adjacent terms: "digital twin", "industrial IoT", "Industry 4.0", "manufacturing AI", "factory automation", "process optimization", or "survey draft" in industrial contexts.
Checks email quality before sending via Mailgun Inspect API. Use when previewing emails across clients, checking accessibility (WCAG), validating links, validating images, or analyzing email HTML/CSS compatibility.
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.
Detect buying signals across TAM companies and watchlist personas. Three-phase architecture: (1) free diff-based signals from existing data (headcount growth, tech stack changes, funding rounds), (2) Apify-powered signals (job postings, LinkedIn content analysis, profile changes), and (3) post-processing with dedup, scoring, and lead status updates. Writes signals to Supabase signals table for downstream activation.
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.
Internal downstream skill for ctf-sandbox-orchestrator. CTF-sandbox workflow for DFIR chronology, cross-artifact correlation, persistence chains, and incident timeline reconstruction. Use when the user asks to build a forensic timeline, correlate EVTX, PCAP, registry, disk, memory, mailbox, or browser artifacts, explain the order of attacker actions, or pinpoint the stage where the decisive artifact appears. Use only after `$ctf-sandbox-orchestrator` has already established sandbox assumptions and routed here.
Lobstr.io platform help — no-code web scraping platform with 50+ ready-made scrapers for Google Maps, LinkedIn Sales Navigator, Twitter, YouTube, and more. Features cookie-based login sync, scheduled automation, multi-threading, and a full API with Python SDK and MCP Server. Use when configuring a Lobstr scraper, exporting data to Google Sheets or S3, setting up scheduled scraping, working with the Lobstr API or Python SDK, or managing credits. Do NOT use for general prospect list strategy (use /sales-prospect-list), cross-platform enrichment strategy (use /sales-enrich), or integration strategy (use /sales-integration).
ActiveCampaign platform help — marketing automation and CRM for email, SMS, WhatsApp, landing pages, and sales pipelines. Use when building marketing automations, configuring CRM pipelines and deals, setting up lead scoring, creating landing pages or forms, managing email campaigns with A/B testing and conditional content, or working with the ActiveCampaign API. Do NOT use for general email marketing strategy (use /sales-email-marketing), cross-platform email deliverability (use /sales-deliverability), email tracking strategy (use /sales-email-tracking), or lead scoring strategy (use /sales-lead-score).
Mailmo platform help — Email Finder, Email Verifier, catch-all detection, LinkedIn Chrome extension, bulk verification, CSV export. Use when asking 'how do I do X in Mailmo', finding emails with Mailmo, verifying emails with Mailmo, using the Mailmo Chrome extension, or doing bulk verification in Mailmo. Do NOT use for building prospect lists (use /sales-prospect-list), cross-platform deliverability (use /sales-deliverability), enriching contacts across multiple tools (use /sales-enrich), or sending cold emails (Mailmo is a finder/verifier, not a sending tool — use /sales-cadence for outreach strategy).
Search and ask questions about your coding agent session history. Use when asking what you worked on, what was tried before, how a problem was investigated across sessions, what happened recently, or any question about past agent sessions. Also use when the user references prior sessions, previous attempts, or past investigations — even without saying 'sessions' explicitly.
Build identity-preserving character generation workflows and pipelines in ComfyUI. Selects the optimal identity method (InfiniteYou, FLUX Kontext, PuLID, InstantID, IP-Adapter) based on use case requirements. Handles face preservation, likeness transfer, cross-domain conversion (3D to photo), multi-reference consistency, iterative character editing, and character variation generation. Triggers on requests to generate consistent characters, preserve identity across images, create face-swapping workflows, or convert 3D renders to photorealistic portraits. Does NOT cover general image generation without identity preservation, model training/LoRA fine-tuning, animation, technical explanations, or workflow debugging.
Deep Research Skill for Horizontal-Vertical Analysis. Proposed by digital life Khazix, it integrates core ideas from Saussure's diachronic-synchronic analysis, longitudinal-cross-sectional research design in social sciences, business school case study methods, and competitive strategy analysis. It is used when users want to systematically research a product, company, concept, technology, or person. The core is dual-axis analysis: the vertical axis tracks the complete life cycle from birth to the present (presented as a narrative story), while the horizontal axis conducts a systematic horizontal comparison with competitors/peers at the current time point. Finally, unique insights are generated by intersecting the two axes, and a beautifully formatted PDF research report is produced as the final output. Trigger words include but are not limited to: horizontal-vertical analysis, research for me, help me analyze, in-depth research, conduct a research, investigate, competitor analysis, help me understand how this thing is, what's this product/company/concept about, help me figure it out, help me understand it, do a deep research for me. Even if the user only says "help me understand XX" or "what's the background of XX", it should be triggered as long as the context implies a need for systematic in-depth research (rather than a simple conceptual explanation). It also applies to scenarios where the user sends a product name, company name, or technical term and says "help me research this". Do not use it for simple noun explanations (when the user only asks "what is XX"), do not use it for official account writing (use khazix-writer for that), and do not use it for pure title abstract generation (use wechat-title for that).