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Found 137 Skills
Cluely platform help — real-time AI meeting assistant with live coaching overlay, pre-call briefs, meeting notes, conversation analytics, and knowledge base RAG. Use when setting up Cluely for live AI prompts during sales calls, configuring the knowledge base with company docs for real-time RAG retrieval, connecting Cluely to HubSpot or Salesforce via Merge.dev, troubleshooting transcription accuracy or speaker attribution errors, comparing Cluely Pro vs Pro + Undetectability plans, or setting up team coaching scorecards and missed opportunity tracking. Do NOT use for choosing between AI note-takers across vendors (use /sales-note-taker) or reviewing a call for coaching (use /sales-call-review).
Detect and fix AI writing patterns including overused phrases (testament to, pivotal, landscape, delve), structural tells (rule of three, em dash overuse, negative parallelisms, copula avoidance), promotional language, and vague attributions. Use when user asks to "make text sound human", "remove AI tells", "humanize writing", mentions patterns like "too many dashes" or "sounds like ChatGPT", or requests natural/conversational tone. Triggers: AI-generated, humanize, writing style, natural writing, human voice, ChatGPT sound, remove AI patterns, conversational tone, writing voice. Credits: Based on Wikipedia's Signs of AI writing guide by @blader
Expert LinkedIn Ads strategist for B2B companies. Use when the user asks about LinkedIn advertising, LinkedIn campaign setup, LinkedIn ad targeting, LinkedIn bidding strategies, LinkedIn ad formats, LinkedIn retargeting, LinkedIn ABM campaigns, LinkedIn Thought Leader Ads, LinkedIn funnel architecture, LinkedIn ads measurement/attribution, LinkedIn ads troubleshooting, LinkedIn creative best practices, or any B2B paid social strategy involving LinkedIn. Also triggers on "LinkedIn campaign", "LinkedIn CPM", "LinkedIn CTR", "LinkedIn lead gen", "B2B ads", "demand gen on LinkedIn", "sponsored content", or "LinkedIn ads not working". Do NOT use for LinkedIn organic content/posting (use linkedin-content skill) or LinkedIn outbound messaging (use cold-email skill).
Multi-source deep research using firecrawl and exa MCPs. Searches the web, synthesizes findings, and delivers cited reports with source attribution. Use when the user wants thorough research on any topic with evidence and citations.
Analyzes indicators of compromise (IOCs) including IP addresses, domains, file hashes, URLs, and email artifacts to determine maliciousness confidence, campaign attribution, and blocking priority. Use when triaging IOCs from phishing emails, security alerts, or external threat feeds; enriching raw IOCs with multi-source intelligence; or making block/monitor/whitelist decisions. Activates for requests involving VirusTotal, AbuseIPDB, MalwareBazaar, MISP, or IOC enrichment pipelines.
Remove AI-generated traces from text. Suitable for editing or reviewing text to make it sound more natural and human-written. A comprehensive guide based on Wikipedia's "Signs of AI Writing". Detect and fix the following patterns: exaggerated symbolism, promotional language, superficial analysis ending with -ing, vague attribution, overuse of dashes, rule of three, AI vocabulary, negative parallelism, excessive connective phrases.
Use when the user needs research methodology, long-form content creation, academic-style citations, fact-checking, or evidence-based writing with proper source attribution. Trigger conditions: whitepaper drafting, research article writing, source evaluation, citation management, fact-checking protocol, case study creation, evidence-based argumentation.
Observe.AI platform help — enterprise contact center intelligence with Auto QA scoring on 100% of interactions, Agent Copilot real-time guidance, Coaching Copilot post-call performance management, VoiceAI and ChatAI virtual agents, screen recording, Insights Copilot. Use when setting up Observe.AI Auto QA scorecards for contact center agents, Agent Copilot not surfacing guidance during live calls, transcription accuracy issues or speaker attribution errors, comparing Observe.AI vs Balto or Cresta or CallMiner for contact center QA, integrating Observe.AI with Five9 or Amazon Connect or Talkdesk, or configuring compliance monitoring and regulatory audit trails. Do NOT use for building a general coaching program (use /sales-coaching) or reviewing a specific call transcript (use /sales-call-review).
Paid advertising strategy for Google, Meta, TikTok, LinkedIn - campaign structure, bidding, audiences, creative, measurement, budget allocation, unit economics (CAC/LTV), revenue attribution, incrementality, payback period, and sales alignment.
Draft CHANGELOG entries from git log via the pm-changelog-curator sub-agent. Dispatches natively on Claude Code with the pm-skills plugin (invokes @agent-pm-changelog-curator); on non-Claude clients (Codex CLI, Cursor, Windsurf, Copilot, Gemini CLI) reads subagents/pm-changelog-curator.md and executes the system prompt inline. Applies CLAUDE.md hygiene rules (no internal-notes references, no em-dashes, no Claude attribution trailers, public paths only). Returns a layered draft (full CHANGELOG draft + Status Summary prose + Status YAML envelope per master plan D26) with hidden justification comments for maintainer audit. Refuses on dirty working tree unless --committed-only is passed.
Use when doing upstream market-research methodology — sizing a market as TAM/SAM/SOM computed BOTH top-down and bottoms-up (never a single unsourced number), planning a survey sample size with finite-population correction and per-segment minimums, or scoring candidate market segments against Kotler's measurable/substantial/accessible/differentiable/actionable criteria. Outputs always show the method and the assumptions. For market-research analysts and product-marketing at the sizing/survey/segmentation moment. Distinct from marketing-skill (campaign analytics, attribution, demand-gen) — this is the evidence-building methodology, not live-campaign optimization.
Calculate influencer campaign ROI and build a leadership-ready narrative summary from raw performance data. This skill should be used when calculating ROI for a creator campaign, building a campaign performance report for leadership, turning raw influencer metrics into an executive summary, computing CPM CPE ROAS and EMV for a creator program, summarizing campaign spend versus revenue for a stakeholder meeting, proving influencer marketing ROI to a CMO or VP, creating a campaign wrap report with financial metrics, or comparing influencer channel efficiency against paid social. For setting KPI targets before a campaign launches, see performance-benchmark-setter. For tracking creator posting compliance, see creator-posting-compliance-tracker. For full end-of-campaign reporting with qualitative analysis, see post-campaign-creator-scorecard. For building UTM links to enable attribution, see utm-parameter-builder.