Results for “fr”

Use mmx to generate text, images, video, speech, and music via the MiniMax AI platform. Use when the user wants to create media content, chat with MiniMax models, perform web search, or manage MiniMax API resources from the terminal.

Scan for viral app opportunities from trends, gaps, and user pain points

Follow a request end-to-end through the stack from route to database

Generate a project-level context snapshot for resuming work in a fresh session

Example of a properly self-contained skill following all best practices

Generate OKR cascades from company strategy to team objectives. Usage: /okr generate <strategy>

Auto-extract reusable patterns from the current session into skills or memory

Professional-grade brand voice analysis, SEO optimization, and platform-specific content frameworks.

Simplified man pages from tldr-pages. Use this to quickly understand CLI tools.

DeepEval — LLM evaluation framework, RAG metrics, hallucination detection, red-teaming, CI/CD integration

Formal evaluation framework for Codex sessions implementing eval-driven development (EDD) principles

Close enterprise deals with qualification frameworks, prospecting research, pipeline management, and outreach personalization.

Extract candidate name, contact details, work history, and skills from resumes.

Extract vendor name, line items, totals, and dates from invoice documents.

Generate PDF, DOCX, EPUB, and PPTX documents from structured content blocks.

Remove the background from a product photo using AI-powered segmentation.

Frame jobs, triggers, desired outcomes, anxieties, and product opportunities.

Slack archive: search, sync freshness, threads/DMs, SQL counts, and Slacrawl repo work.

Clinically informed wisdom companion blending psychology and philosophy into a structured thinking partner

Generate spectrograms and feature-panel visualizations from audio with the songsee CLI.

Revenue forecast from pipeline data with stage-weighted probability and sensitivity analysis

Control cmux workspaces, panes, surfaces, and agent sessions safely from macOS terminal workflows.

Find free legal full-text versions of scholarly articles via Unpaywall

Control cmux workspaces, panes, surfaces, and agent sessions safely from macOS terminal workflows.

Reconstruct a product flow, then audit how usable it is — whether it makes sense, where users get confused or stuck, whether the copy and instructions are clear, and where friction causes drop-off. Produces a prioritized, severity-weighted findings report. Works from three inputs: frontend code in a repo, a live running app driven via a browser, or a written flow / spec / screenshots. Use this skill whenever the user asks for a UX review, usability audit, "is this flow confusing", "does this signup/onboarding/checkout make sense", "why are people dropping off", "audit this form", "where's the friction", or hands over a flow and asks whether it's user-friendly. Trigger even on casual phrasings ("is my checkout any good?") — it imposes the structure ad-hoc UX opinions miss. Audits flow usability and friction; for visual polish and interface quality the impeccable audit/critique skills apply instead.

Use when someone asks what is true, false, misleading, unsupported, unknown, or genuinely complicated in a persuasive message, article, pitch, advertisement, policy claim, or viral post. Analyze propaganda, spin, selective framing, urgency, social proof, deceptive marketing, and AI-generated persuasion by tracing claims to evidence and separating literal truth from implied conclusions. Do not use to read deception from demeanor, adjudicate intent, or replace broad domain research.

Use this skill when conditioning, loading, preparing, or labeling signal data for analysis or ML training. Covers: cleaning a single signal (fill gaps, remove drift, deoutlier, denoise, resample/align a time base) BEFORE analysis; building a `signalDatastore` pipeline; creating a `labeledSignalSet` for Signal Labeler; deriving labels (filename, folder, in-file, ROI, time-frequency ROI); stratified train/val/test splits; framing long signals; parallel processing; and shaping datastore output for `trainnet`. Triggers include "clean up this signal", "remove drift / detrend", "fill gaps", "remove spikes / outliers", "denoise", "resample to a uniform rate", "align channels", "labels from filenames", "stratified split", "prepare for Signal Labeler", and function names like `fillgaps`, `fillmissing`, `detrend`, `filloutliers`, `smoothdata`, `resample`, `synchronize`, `signalDatastore`, `labeledSignalSet`, `filenames2labels`, `folders2labels`, `splitlabels`, `framesig`, `framelbl`, `createDatastores`.

Build self-serve acquisition and expansion motions, including deciding between PLG and sales-led, optimizing activation, driving freemium conversion, and building growth equations.

Bypasses SSL/TLS certificate pinning in Android and iOS apps to intercept HTTPS traffic during authorized security assessments using Frida, Objection, and custom scripts.

Build a complete marketing plan covering the full customer journey from stranger to raving fan using a 9-square grid framework.

Builds C# applications with .NET 8+, ASP.NET Core APIs, or Blazor web apps, including REST APIs, Entity Framework Core data access, CQRS with MediatR, and Blazor components.

Applies cognitive science frameworks for creative thinking to CS and AI research ideation, using combinatorial creativity, analogical reasoning, constraint manipulation, and other empirically grounded strategies.

Reviews animation and motion code against a high craft bar derived from Emil Kowalski's design engineering philosophy, flagging issues with easing, duration, performance, and accessibility.

Renders announcements, messages, or tips as macOS Big Sur+ style notification banners for video overlays, product launch teasers, or social media graphics.

Profiles application performance across database queries, API call chains, memory usage, bundle sizes, network waterfalls, and frontend rendering, then produces ranked optimization recommendations with estimated impact.

Conducts end-to-end user research, from study design through behavioral insight synthesis, using frameworks like Nielsen's Heuristics, SUS, and User Journey Mapping.