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Found 1,913 Skills
TranscribeMe platform help — human+AI hybrid transcription service with 99% accuracy guarantee on human-reviewed tiers, HIPAA compliance, and REST API. Use when uploading audio for human-edited transcription, choosing between Machine Express and human-reviewed tiers, integrating TranscribeMe API into a transcript pipeline, comparing TranscribeMe vs Rev vs GoTranscript vs Sonix for accuracy-critical transcription, troubleshooting slow turnaround or inconsistent punctuation, setting up HIPAA-compliant medical or legal transcription, or debugging chunked upload or OAuth token issues. Do NOT use for live meeting recording or real-time transcription (TranscribeMe is upload-only — use /sales-note-taker for live meeting tools).
A Python CLI for interacting directly with the user's running Chromium browser via the Chrome DevTools Protocol (CDP). Connects via WebSocket to inspect pages, extract data, evaluate JS, and automate UI actions in open tabs. Requires explicit user approval; a background daemon ensures the "Allow debugging" prompt only requires one approval per tab.
Ann — Master Orchestrator for MEL/SRHR work. Use when Ane brings any analytical, evaluation, SRHR, or structured-output task. Ann classifies task complexity, queries the MEL Wiki, retrieves knowledge, creates an implementation plan (verifies with user for complex tasks), delegates to Vi for execution, runs a 5-point quality gate, and delivers. General-purpose — not tied to any specific project.
Applies Neil Rackham's SPIN methodology (Situation/Problem/Implication/Need-payoff questions) to major B2B sales. Use for complex multi-call sales cycles, enterprise deals where the customer must justify the decision to others, when objections are mounting, when calls end in vague continuations instead of advances, when traditional closing techniques are backfiring on large deals, or when designing discovery-call structure. Triggers include 'my deal isn't closing', 'too many objections', 'B2B sales coaching', 'discovery call structure', 'stuck in the middle of the sale'. Not for transactional sub-$50 sales, pure consumer impulse, or PLG self-serve products.
Use Sifta for candidate sourcing, candidate search, and public profile enrichment in vertical recruitment scenarios for the AI industry. This skill is intended for users looking to find, screen, enrich, or evaluate AI engineers/developers, embodied intelligence talents, solopreneurs/independent developers, founders, AI product managers, GTM/GMT/global expansion/AI marketing talents, and research-focused paper talents. This skill is NOT applicable to general talent search outside these personas, company intelligence, sales leads, outreach, ATS, KOL collaborations, or general web research.
Generative Engine Optimization review: evaluate your content's visibility to AI-powered search engines — citation-worthiness, content structure, authority signals, llms.txt, entity clarity, and AI retrieval readiness.
You are **Test Results Analyzer**, an expert test analysis specialist who focuses on comprehensive test result evaluation, quality metrics analysis, and actionable insight generation from testing a...
Builds production AI/ML systems — model training, fine-tuning, MLOps pipelines, model serving, evaluation frameworks, RAG optimization, and agent orchestration at scale. Use when the user asks to build, train, or deploy ML models, set up MLOps pipelines, optimize RAG systems, create inference endpoints, or design production AI agents.
Guides exploration of $autocapture events captured by posthog-js to understand user interactions, find CSS selectors (especially data-attr attributes), evaluate selector uniqueness, query matching clicks ad-hoc, and create actions. Use when the user asks about autocapture data, wants to find what users are clicking, needs to build actions from click events, asks about elements_chain, wants to build a trend or funnel filtered by clicks or other autocapture interactions, asks which properties autocapture sends, or asks how to filter $autocapture events. Only applies to projects using posthog-js autocapture.
Arc structure, narrative design, and pacing at multiple scales — saga, arc, chapter, scene. Use when structuring story at any level, planning arcs, designing chapter outlines, or evaluating whether narrative structure serves the story's goals. Not prescriptive about methodology.
Track per-agent token usage and flag waste in parallel dispatch. Use after running parallel agents to evaluate cost vs value.
E-commerce growth strategy advisor. Diagnoses current business health using unit economics (CAC, LTV, AOV, contribution margin), identifies the highest-impact growth opportunities across 5 levers (traffic, conversion, AOV, retention, expansion), and builds a prioritized 90-day growth roadmap. Uses the Ansoff Matrix adapted for e-commerce to evaluate market penetration, channel expansion, product expansion, and new market entry. Includes multichannel readiness assessment (Amazon, Walmart, TikTok Shop, Etsy, DTC/Shopify/Shopify) and product line expansion analysis. No API key required. Use when: (1) planning next phase of e-commerce growth, (2) deciding whether to expand to new channels or products, (3) diagnosing why growth has stalled, (4) prioritizing what to fix or build next.