aidan

Use this skill any time a .pptx file is involved in any way — as input, output, or both. This includes: creating slide decks, pitch decks, or presentations; reading, parsing, or extracting text from any .pptx file (even if the extracted content will be used elsewhere, like in an email or summary); editing, modifying, or updating existing presentations; combining or splitting slide files; working with templates, layouts, speaker notes, or comments. Trigger whenever the user mentions "deck," "slides," "presentation," or references a .pptx filename, regardless of what they plan to do with the content afterward. If a .pptx file needs to be opened, created, or touched, use this skill.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Append a GitHub issue link and its Linear ticket to the current PR's description. Use when asked to "link issue to pr", "fill in issue and linear in pr", "add issue refs to pr", or when given a GitHub issue URL and asked to attach it to the current PR. Resolves the Linear ticket automatically from the issue's linear-linkback comment.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Create, refresh, and rewrite PR titles and descriptions following Sentry conventions. Use when opening a PR, writing or updating a PR title/body/description, refreshing an existing PR after material changes, or preparing branch changes for review.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Create data-driven presentation slides using React, Vite, and Recharts with Sentry branding. Use when asked to "create a presentation", "build slides", "make a deck", "create a data presentation", "build a Sentry presentation". Scaffolds a complete slide-based app with charts, animations, and single-file HTML output.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Deploy applications to Kubernetes — Deployments, Services, Ingress, ConfigMaps, Secrets, health checks, and scaling.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Test-driven development in Python using uv as the package manager. Covers the red-green-refactor cycle, vertical slicing, and uv project setup.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Build a throwaway prototype to flesh out a design — a runnable terminal app for state/business-logic questions, or several radically different UI variations toggleable from one route.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Generate or edit images using the OpenAI Image API (gpt-image-2). Use when the user asks to generate, create, draw, render, illustrate, mock up, or edit an image, icon, logo, mockup, illustration, OG image, blog hero, marketing asset, or similar visual. Also use when the user supplies a reference image and asks to modify, restyle, or remix it. Triggers on: "generate an image", "create an image", "make a picture of", "edit this image", "restyle this", "make a mockup of", "draw a", "render a", "illustration of".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Profile a running web application's CPU performance using Cursor's built-in browser profiler. Captures call stacks, identifies slow functions, and suggests optimizations. Use when a page feels slow or janky.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Set up Claude Code hooks to block dangerous git commands (push, reset --hard, clean, branch -D, etc.) before they execute. Use when user wants to prevent destructive git operations, add git safety hooks, or block git push/reset in Claude Code.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

A relentless interview to sharpen a plan or design, which also creates docs (ADR's and glossary) as we go.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Keep iterating on code changes until the tests pass, the build succeeds, or linting is clean. Runs in a tight loop of fix → run → check → repeat. Use when you want the agent to autonomously grind through test failures or build errors.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Implement a piece of work based on a PRD or set of issues.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Explore PostHog's Inbox — the surface where signal reports surface as actionable issues and trends. Use when the user asks "what's in my inbox?", "what should I look at?", "which reports are actionable?", "what's PostHog flagged recently?", asks about a specific report by ID or title, or wants to see which signal sources are configured. Covers listing, filtering, and drilling into reports, plus pointers to the deeper `signals` skill when raw signals or semantic search are needed.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

After navigating and interacting in Cursor's built-in browser, use browser_network_requests to audit every fetch/XHR for failures, slowness, duplicate calls, and suspicious payloads. Use for API-heavy pages and after backend or client networking changes.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

When GitHub Actions fails, fetch failing job logs and assign each failing job to a separate subagent that fixes its slice of the problem in parallel. Use for multi-job CI failures where jobs are independent.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating new PDFs, filling PDF forms, encrypting/decrypting PDFs, extracting images, and OCR on scanned PDFs to make them searchable. If the user mentions a .pdf file or asks to produce one, use this skill.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Add PostHog log capture to track application logs. Use after implementing features or reviewing PRs to ensure meaningful log events are captured with structured properties. Also handles initial OTLP exporter setup if not yet configured.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

A relentless interview to sharpen a plan or design.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Fetch unread GitHub notifications for open PRs where review is requested from a specified team or opened by a team member. Use when asked to "find PRs I need to review", "show my review requests", "what needs my review", "fetch GitHub review requests", or "check team review queue".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Write effective prompts for LLMs — structure, few-shot examples, chain-of-thought, system prompts, and output parsing.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Creates, optimizes, and iteratively refines agent prompts, system prompts, developer prompts, and reusable prompt templates. Use when asked to improve a prompt, optimize a system prompt, rewrite an agent prompt, tune prompt wording, make a prompt more reliable, port prompts between OpenAI, Claude, or Gemini, or build prompt evals.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Inspects PostHog Web analytics Live tab data — current users online, last-30-minutes pageviews, top pages, referrers, devices, browsers, countries, bot traffic, and the per-minute bot/users charts. Use when the user asks "who is on my site right now?", "what is happening live?", "what bots are crawling me?", asks about the "live tab" / "live dashboard", wants live numbers (last 30 min), or wants help filtering or drilling into the live view. Also covers building product-analytics insights that mirror what the tiles show.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Create a PostHog endpoint with the right shape on the first try — covers query kind choice, name conventions, what to expose as variables (HogQL code_name vs insight breakdown), data_freshness_seconds, and whether to materialise on day one. Use when the user says "create an endpoint", "expose this query as an API", "turn this insight into an endpoint", or asks for help structuring a new endpoint. Steers away from common mistakes: materialising a query with cohort breakdowns or compare mode, inline-only variables on a materialised endpoint, unbounded date ranges, ambiguous names.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.