Récents

zachsnoek

Generate descriptive commit messages by analyzing git diffs.

muhammadwaheedairi

Triage and process WhatsApp action files from the AI Employee vault. This skill should be used when WHATSAPP_*.md files appear in /Needs_Action folder, or when user asks to handle WhatsApp messages, draft replies, or generate invoices from chat requests. Reads message content, detects intent, creates Plan.md with steps, and always routes replies to /Pending_Approval — never sends directly to WhatsApp without human approval.

automagik-dev

Omni v2 message execution specialist — use for sending messages (text, TTS, media, reactions, stickers, polls), searching messages, batch operations, and testing automations via the omni CLI.

zio

Write a reference documentation page for a specific data type in ZIO Blocks. Use when the user asks to document a data type, write an API reference for a type, or create a reference page for a class/trait/object.

getsentry

Sentry JavaScript frontend bug pattern review based on real production errors. Use when reviewing React/TypeScript frontend code for common bug patterns. Trigger keywords: javascript bug review, frontend errors, react error patterns, sentry frontend bugs.

comet-ml

TypeScript SDK patterns for Opik. Use when working in sdks/typescript.

ProjectEuropa

Conduct WCAG 2.2 accessibility audits with automated testing, manual verification, and remediation guidance. Use when auditing websites for accessibility, fixing WCAG violations, or implementing accessible design patterns.

lemline

runner-dev est un environnement d'exécution de DSL de workflow serverless qui permet le développement de workflows efficaces et basés sur les événements

mountain-loop

Check out a GitHub pull request for review in this repo, either in the current directory or in a new isolated worktree at ../yaak-worktrees/pr-<PR_NUMBER>. Use when asked to run or replace the old Claude check-out-pr command.

created-by-forge

Deep dive into a single content pillars performance across all platforms and reporting periods. Shows how the same pillar performs differently on each surface, identifies format and platform fit, and provides coaching on strategic direction per the clients pillar goals.

litegral

Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production. Use when optimizing prompts, improving LLM outputs, or designing production prompt templates.

dkapellusch

Use when the user says split changes, small branches, decompose branch, wt-split, or wants to break a branch into focused, reviewable pieces — supports manual file selection and automatic agent-based analysis.