Top Agent Skills

Deconstruct vague business concepts into atomic-level clarity using Wittgenstein's language philosophy and Austrian economics.

Fetch any X/Twitter post as clean LLM-friendly JSON, converting x.com, twitter.com, or adhx.com links into structured data with full article content, author info, and engagement metrics.

Design, simulate, and run quantum circuits on quantum computers and simulators using Google's Cirq framework.

Build ultra-fast web APIs and full-stack apps with Hono, a lightweight framework that runs on Cloudflare Workers, Deno, Bun, Node.js, and any WinterCG-compatible runtime.

Keeps AI coding agents tightly scoped to only change what the user explicitly requested, using the simplest viable solution and asking before expanding scope.

Build content-focused websites with Astro — zero JS by default, islands architecture, multi-framework components, and Markdown/MDX support.

Provides comprehensive guidance for performing symbolic algebra, calculus, linear algebra, equation solving, physics calculations, and code generation using the SymPy library.

Enables semantic file search using vector embeddings from the command line, integrated with Claude/Codex.

Create commits following Sentry conventions with proper conventional commit format and issue references, including branch safety checks.

Design schemas, write TypeScript functions, set up real-time subscriptions, authentication, file storage, scheduling, and deployment for Convex reactive backend projects.

Designs and orchestrates multi-agent AI teams using the CrewAI framework, covering agent roles, task decomposition, crew processes, memory, and flows.

Automates job search, auto-apply, resume generation, application tracking, salary intelligence, and recruiter outreach via the JobGPT MCP server.

Provides a fast in-memory DataFrame library for datasets that fit in RAM, with lazy evaluation, parallel execution, and an Apache Arrow backend for ETL pipelines and analytics.

Build, optimize, and execute quantum circuits using Qiskit on simulators or real quantum hardware from IBM, IonQ, and Amazon Braket.

Engages in structured philosophical and psychological conversations using clinical frameworks and wisdom traditions.

Analyze single-cell RNA-seq data using Scanpy, including quality control, normalization, clustering, marker gene identification, and visualization.

Synthesize the current conversation and codebase context into a Product Requirements Document and publish it to the project's issue tracker.

Structures a bounded spec-build-review development loop with explicit scope, stop conditions, and human approval gates for risky or ambiguous work.

Design GraphQL schemas, resolvers, and DataLoader patterns, integrate with Apollo/urql, and implement federation for microservices.

Build serverless background jobs, event-driven workflows, and durable execution with Inngest, without managing queues or workers.

Analyze AI disruption pressure across a business, map competitive exposure, and produce a 90-day defensive action plan.

Build cross-platform AI chat interfaces with Makepad using MolyKit, including async utilities, chat widgets, and OpenAI-compatible client integration.

Write idiomatic PHP code with generators, iterators, SPL data structures, and modern OOP features for high-performance applications.

Extract clean markdown content from web pages using Defuddle CLI, removing clutter and navigation to save tokens.

Build clean async pipelines with fp-ts TaskEither, replacing nested try/catch with composable error handling and real API examples.

Apply functional programming patterns with fp-ts in React, covering state management, form validation, and data fetching for React 18/19 and Next.js 14/15.

Enforces a strict input boundary protocol (detect, classify, filter, verify) to ensure untrusted data never reaches business logic raw.

Create, manipulate, and analyze complex networks and graphs using the NetworkX Python package.

Integrate with the Telegram Bot API to create bots, send messages, set up webhooks, and use inline keyboards. Includes boilerplate code for Node.js and Python.

Search, query, inspect, create, and import data into Weaviate vector database collections using official scripts and references.

Orchestrate autonomous AI development pipelines through your Kanban board, managing multi-worker Claude Code dispatch, deterministic quality gates, adversarial review, per-task cost tracking, and crash-proof pipeline execution.

Deploy web apps with backend APIs, database, and file storage to a public URL via HTTP API.

Provides Python tools for biological computation, including sequence manipulation, file I/O, database access, structural bioinformatics, and phylogenetics.

Generates a step-by-step construction plan from a one-line objective, where each step is self-contained and executable by a fresh agent in a new session.

Runs a structured clarifying interview for new project requests before building, then outputs a fully specified prompt.md for a fresh agent session to execute.

Continuously improves a Makepad skill library during development through hooks, self-correction, and version adaptation.

Convert text to speech and speech to text using fal.ai audio models.

Replace exception-heavy TypeScript code with fp-ts Either and TaskEither for type-safe error handling as values.

Provides expert guidance on modern Julia 1.10+ development, covering performance optimization, multiple dispatch, tooling, testing, and production-ready practices.

Guides AI agents to apply advanced mathematical and probabilistic techniques (Bloom filters, HyperLogLog, FFT, etc.) for large-scale data problems where classical algorithms are optimal but math offers better asymptotic bounds.

Completely delete and rewrite a file or module from scratch when structural rot makes patching impossible, with enforced preservation of interfaces and blast radius verification.

Injects up to 1 million tokens of external context into AI agent memory, auto-summarizes conversations with tone and intent preservation, and compresses multi-turn history into dense token sequences.

Find compatible cofounders, collaborators, and friends through validated psychological profiling and mathematical compatibility matching.

Guides building production-grade AI features with LLM integration patterns, RAG architecture, prompt engineering, and cost optimization.

Augments nearest-neighbour search with graph Laplacian features to retrieve items based on both semantic similarity and structural role.

Simulates Bill Gates' cognitive framework, strategic thinking, and decision-making processes for analysis and problem-solving.

Provides expert patterns for implementing Clerk authentication in Next.js, including middleware, server components, client hooks, organizations, and webhooks.

Decides whether a personalized gift should be created each day, then generates it as an interactive H5 page, AI image, or AI video through a five-stage creative pipeline.

Build scalable Django 5.x applications with async views, DRF, Celery, and Channels, following best practices for architecture, testing, and deployment.

Configure and optimize .faf files, MCP servers, and bi-directional sync for AI context across multiple platforms, with championship scoring to achieve 85%+ AI-readiness.

Generates AI-ready context files for any codebase by auto-detecting the tech stack, scoring AI-readiness, and producing a portable .faf file that works across AI tools.

Build type-safe, testable Node.js/Deno backends using fp-ts with ReaderTaskEither, functional dependency injection, and service composition patterns.

Automates the cycle of fixing CI failures, addressing PR review feedback, and pushing changes until all checks pass.

Research any topic across Reddit, X, and the web from the last 30 days, then synthesize findings into actionable insights and copy-paste-ready prompts.

Analyzes code for logical errors, race conditions, security vulnerabilities, and algorithmic flaws using structured reasoning across 9 risk categories.

Finds, analyzes, and strategizes for high-impact open source contribution opportunities in trending repositories.

Simulates Sam Altman — CEO of OpenAI, former president of Y Combinator, and architect of the AGI era — for advice on startups, AI, and technology.

Search the web, extract content from URLs, and crawl websites using the Tavily API.

Simulates Yann LeCun, inventor of CNNs and Chief AI Scientist at Meta, for conversations about AI, deep learning, and related topics.

Maps a described workflow to the right ECC command-group with run-order and stop condition, and browses all command-group recipe families.