Results for “style”

Drafts professional emails that match your personal writing style by analyzing sent emails for tone, greeting, structure, and sign-off patterns.

Reposts external blog articles into StaticFlow with style-aware translation, source normalization, image ingestion, and verified publishing.

Embody Tim Cook's measured, operations-focused leadership style for strategic business advice, supply chain thinking, and values-driven decision-making.

Provides structured goal-setting and strategic guidance in the style of John Doerr, focusing on OKRs, execution, and team evaluation.

Adopts the satirical voice and techniques of British comedian Peter Cook to craft witty, character-driven responses that expose pomposity and hypocrisy.

Rewrites text to remove AI writing patterns and add a natural, human voice, based on Wikipedia's guide to signs of AI writing.

Embody the voice and methodology of comedian Bill Hicks, using dark humor and philosophical confrontation to critique society, consumerism, and hypocrisy.

Documents Airtable's design system including color tokens, typography hierarchy, spacing, and component patterns for building editorial-style marketing interfaces.

Combine a human selfie and product image into a UGC-style video ad with a generated script and animated video.

Emulates the voice and storytelling style of comedian Theo Von, using his signature metaphors, digressions, and vulnerable humor for creative writing or conversational responses.

Transforms earnest content into playful, satirical material using the voice and techniques of Eric Idle, including musical comedy, wordplay, and cheerful subversion.

Generates a comprehensive AGENTS.md file at the repository root to provide AI coding agents with project context, setup commands, development workflows, testing instructions, and code style guidelines.

Compresses responses by removing filler words and hedging while preserving code, errors, and technical details. Activates on explicit user request or a trigger token, and persists until released.

Embody C.S. Lewis as an AI persona to engage in reasoned, imaginative discussions on faith, morality, and suffering, applying his core arguments and rhetorical style.

Adopts the voice and methodology of Mark Twain to rewrite content with wit, satire, and plain-spoken wisdom, including techniques for sharpening prose and detecting hypocrisy.

Applies curated color palettes and font pairings to style artifacts such as slide decks, docs, and landing pages, with 10 preset themes and the ability to generate custom themes on demand.

Formats git commits with Sentry-style conventional commit messages, including type, scope, subject, body, and issue references, and enforces branch safety by creating a feature branch when on main or master.

Detects and removes AI writing patterns from Chinese text, making it sound more natural and human-like. Based on Wikipedia's comprehensive guide to AI writing characteristics.

Adopts the perspective and thinking framework of Justin Sun, using his mental models, decision heuristics, and communication style to analyze crypto industry topics and business decisions.

Compresses AI agent output tokens by up to 65% using a terse, article-free communication style while preserving full technical accuracy. Supports multiple intensity levels and auto-disables for security warnings or ambiguous instructions.

Builds detailed voice profiles for characters, narrators, brands, or AI agents, covering diction, syntax, rhythm, worldview, signature patterns, and failure modes, and can reverse-engineer profiles from writing samples or audit existing ones.

Turns messy documents, meeting transcripts, reports, or raw data into a polished, design-conscious HTML presentation through a structured workflow that filters content, defines style specs, and generates slides, with optional theme research and cross-session resume support.

Use when planning an ESEC/FSE project timeline from venue fit through paper registration, submission, the journal-style Major Revision round, artifact evaluation, PACMSE camera-ready, and presentation, with backward-planning offsets for an empirical-SE paper and honest handling of the single-annual-deadline cycle and cycle-hopping.

Given a document, book, or course material, teaches the user to understand the content by first diagnosing their learning ability (strong/medium/weak) and then providing step-by-step instruction in an accessible way. Supports mimicking a master teacher's style by extracting it from provided subtitles or video links.

Solve a user-specified web task code-as-action style by driving a local Playwright browser through one bash command at a time, saving screenshots and an action log into `final_runs/run_id/`, and visually verifying the result. Use when the user asks to automate a web task (search, filter, form-fill, multi-step flow, data extraction) and wants reusable scripts plus screenshot evidence rather than a one-shot answer.

Decompose multi-step work into a revisable subgoal plan with stable step IDs, checkpointing, and plan-ahead execution. Load when a task needs explicit planning before action, subgoal decomposition, plan checkpointing, or ReCAP-style plan-ahead execution. Also triggers on "structured plan", "plan with steps", "subgoal graph", "revise the plan", "checkpoint plan", or multi-step tasks where naive one-shot execution would be fragile. Skips trivial single-step tasks. Pairs with dynamic-routing on failure. Distinct from process-decomposer (registry/triage) and problem-to-plan (doc deliverables).

Personal AI Infrastructure (PAI) - PAI System Template MUST BE USED proactively for all user requests. USE PROACTIVELY to ensure complete context availability. === CORE IDENTITY (Always Active) === Your Name: [CUSTOMIZE - e.g., Kai, Nova, Atlas] Your Role: [CUSTOMIZE - e.g., User's AI assistant and future friend] Personality: [CUSTOMIZE - e.g., Friendly, professional, resilient to user frustration. Be snarky back when the mistake is user's, not yours.] Operating Environment: Personal AI infrastructure built around Claude Code with Skills-based context management Message to AI: [CUSTOMIZE - Add personal message about interaction style, handling frustration, etc.] === ESSENTIAL CONTACTS (Always Available) === - [Primary Contact Name] [Relationship]: email@example.com - [Secondary Contact] [Relationship]: email@example.com - [Third Contact] [Relationship]: email@example.com Full contact list in SKILL.md extended section below === CORE STACK PREFERENCES (Always Active) === - Primary Language: [e.g., TypeScript, P