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Found 263 Skills
Establish who registered and who operates a domain using WHOIS, RDAP and DNS. Use when running a whois lookup, querying RDAP, digging A, AAAA, MX, NS, TXT, SOA or CAA records, reading SPF includes, DKIM selectors or DMARC rua addresses, finding the registrar, registrant or nameservers, doing reverse DNS, PTR, ASN or netblock lookups, or hunting historical WHOIS and passive DNS. Applies to phishing and brand-abuse takedown, domain-dispute and UDRP evidence, vendor verification before payment, and infrastructure attribution. Reference at useosint.com/skills/who-owns-this-domain.
Use Desktop Commander MCP (typically tools like `mcp__desktop-commander__*`) to manage local files and long-running processes: read/write/search files, apply precise edits, work with Excel/PDFs, run terminal commands and interact with REPLs (Python/Node/SSH/DB), inspect/terminate processes, and review tool call history. Use when the task requires doing real work on the machine (editing code/configs, searching a repo, analyzing CSV/Excel, generating/modifying PDFs, running commands with streaming output).
AI pair programming with real-time screen and audio context. Use when the user wants to record their screen, start/stop recording, or get context from what they're doing.
Measure and optimize customer service performance using CSAT, NPS, CES, First Contact Resolution, and text mining on support tickets. Use this skill when the user needs to evaluate CS team performance, identify top complaint drivers, optimize staffing, or build CS dashboards — even if they say 'is our CS team doing well', 'what are customers complaining about', 'how many agents do we need', or 'build a CS dashboard'.
GetMoreBacklinks platform help — managed directory submission service for startups. Use when deciding whether to pay for directory submissions vs doing it yourself, comparing GetMoreBacklinks plans (Starter $87 vs Business $187), setting expectations for DR improvement timeline, evaluating if a managed submission service is worth it for your budget, or troubleshooting why directory submissions didn't improve rankings. Do NOT use for DIY directory submission strategy (use /sales-launch-directory). Do NOT use for backlink analysis or SEO audits (use /sales-semrush).
Python video composition with moviepy 2.x — overlaying deterministic text on AI-generated video (LTX-2, SadTalker), compositing clips, single-file build.py video projects. Use when adding labels/captions/lower-thirds to LTX-2 or SadTalker outputs, building short ad-style spots in pure Python without Remotion, or doing programmatic video composition. Triggers include text overlay on video, label LTX-2 clip, caption SadTalker output, lower third, build.py video, moviepy, Python video composition, sub-30s ad spot.
Helps EMs assess their own effectiveness, avoid common traps, navigate bad days, and handle recurring tensions in their own mindset and behavior. Use when the user says "I feel stuck," "am I doing this right," "personal development," "EM effectiveness," "blind spots," "bad days," "sanity check on my behavior," "the same problem keeps coming back," "made a mistake with someone," or "my team isn't motivated." Do NOT use when the issue is about the user's relationship with their own manager (use managing-up) or giving specific feedback to someone (use feedback).
Use when a startup is approached by a prospective partner and someone has to decide should we sign this partner, at what partner tier (referral / reseller / OEM / SI-consulting / strategic alliance), with what joint GTM commitment, and at what revshare. Classifies partner tier from independent-demand evidence vs. preferential-terms hunting, designs a 90-day joint GTM plan, models revshare against direct-sale margin, and surfaces kill criteria for unwinding under-performing partnerships. For Head of Partnerships, Head of BD, and Founder-CEOs doing reseller agreement, OEM deal, or strategic alliance review — not technical sale enablement, not channel cost economics, not M&A.
Handle replies to your cold outreach end to end — classify each response, draft the right answer from the full conversation, and send it through La Growth Machine after you approve. Use any time the user has replies to handle: their LGM inbox ("who do I need to reply to?"), a campaign's replies, or a pasted thread. When a conversation is pasted and the user asks what to reply, this is the right tool — don't improvise a reply without it. Triggers on: 'reply to my inbox', 'who do I need to answer', 'handle my campaign replies', 'what do I reply to this', 'help me reply to this prospect', and the French 'à qui je dois répondre', 'réponds à mon inbox', 'réponds aux leads de ma campagne', 'aide-moi à répondre'. Reads the whole thread, classifies the reply, drafts one calibrated answer in the thread's language, shows them for review, and on approval sends via LinkedIn or email natively. Nothing is sent without your OK. For SDR, BDR, RevOps, Growth and founders. Maintained by La Growth Machine.
Covers creation and maintenance of a custom Bitrix module in /local/modules/<vendor>.<module>/ — CModule class, install/index.php, DoInstall and DoUninstall, install/version.php with $arModuleVersion, registration of events and agents during installation, module options (options.php), generation via make:module. Applied when creating a new module, refining installation/uninstallation, registering event handlers and publishing module options in the Admin Panel. Key terms — CModule, DoInstall, DoUninstall, module manifest, install/index.php, make:module, vendor.module.
Edward de Bono's Concept Fan — climb from the current solution to the concept it serves by asking "what is this a way of doing?", then fan out alternative concepts and concrete implementations for each. Use when the current solution might be answering the wrong question, when all options look like variations of one idea, or to widen a decision before committing. Triggers include "concept fan", "zoom out", "what is this a way of doing", "wrong problem", "widen the options", "abstraction ladder". Do NOT use for analytical work like debugging, code review, or implementation tasks.
Live, verified, cited answers for business decisions. Run when the user says "look this up", "get me the real numbers on...", "what's the market doing", "is this actually true", "research X", or when any recommendation needs its external receipt. Run it BEFORE advising on anything the training data would otherwise answer from memory, because memory is not research.