everyskill

Discover and install vetted Every Skill packages through the Every Skill MCP server.

Submit a skill to the Every Skill registry. Use this skill when you've created a useful skill (prompt, workflow, or agent instruction set) and want to share it with the community. All submissions are reviewed by AI and approved by humans before going live.

This skill should be used when writing social media content for Every (Twitter/X and LinkedIn). It provides the complete Every social style guide including voice, tone, post archetypes, structural patterns, and platform-specific guidance. Triggers on requests to write tweets, X posts, LinkedIn posts, social copy, or when the user asks for Every's social voice.

Transform a team-built, use-case-specific skill into a generalized, onboardable skill that any Plus One bot can adopt. Trigger when the user asks to generalize a skill, make a skill distributable, or prepare a skill for the skill store.

Automatically detects AI writing patterns and produces a sequential checklist for manual editing in Google Docs. Scans for AI tells—generic phrasing, stock openers, formal transitions, correlative constructions, vague authority claims, and other patterns—then outputs the revised text first and technical details second. Auto-triggers when generating, editing, reviewing, or polishing any written content for Every.

Fast first-pass editorial assessment for Every drafts. Use when an editor receives a draft article and needs to quickly determine if it has the essential building blocks (thesis, promise, hook, stakes) and aligns with Every's strategy and voice before proceeding to deeper editing. Returns a tight, skimmable assessment with clear next steps.

Check text against Every's editorial style guide and return a checklist of style violations. Use when someone asks to check, review, or validate text against Every's style guide, or when editing content for Every. Returns only violations—does not auto-fix.

A ready-to-use prompt for automating daily social media content sourcing in Cowork. Scans your Slack channels, surfaces the best content from the last 24 hours, drafts posts for X and LinkedIn, runs everything through a built-in AI-writing detector, and saves drafts for human review. Runs on autopilot as a scheduled task — no auto-publishing, ever.

Investigate growth, activation, retention, conversion, funnel bottlenecks, and product-value realization for apps and websites using analytics, database or warehouse, billing, release, and support data. Use when asked why users do not activate, return, convert, collaborate, or retain; to measure build impact; to explain churn-like behavior; or to find concrete growth levers from product data.

Perform write operations on Intercom conversations and Help Center articles via REST API. Use when you need to reply, add notes, assign, close, snooze, or reopen conversations, or create/update Help Center articles. Trigger when: user says 'reply to intercom', 'close conversation', 'add note', 'update help article', 'assign conversation', or any Intercom write operation.

Turn Slack threads into animated social videos with realistic UI details (avatars, typing indicators, reactions, spring animations) and render to MP4/GIF in vertical and horizontal formats.

Cuts ruthlessly. Flags every adjective, adverb, and unnecessary word. Demands you kill your darlings. Use when drafts feel bloated or slow. Invoke with /hemingway [text].

Top-editing skill for Every drafts. Use when the user says "run Kate's top edit skill" or asks for a top edit on a piece. Screens for common issues Kate catches in final review before publication.

Cost-optimize AI agent operations by routing tasks to appropriate models based on complexity. Use this skill when: (1) deciding which model to use for a task, (2) spawning sub-agents, (3) considering cost efficiency, (4) the current model feels like overkill for the task. Triggers: "model routing", "cost optimization", "which model", "too expensive", "spawn agent".

Personalized coding tutorials that build on your existing knowledge and use your actual codebase for examples. Creates a persistent learning trail that compounds over time using the power of AI, spaced repetition and quizzes.