proyecto26

This skill should be used when the user needs to "estimate QPS", "back-of-the-envelope" (BOTEC) numbers, "how much storage / bandwidth", "how many servers", "peak load", "capacity planning", or wants the standard latency / throughput / availability numbers to…

This skill should be used when the user asks about a "caching strategy", "cache invalidation", "what to cache", "read-through vs write-through vs write-back", "cache eviction" (LRU/LFU/TTL), "Redis vs Memcached", "stale reads", or hits "thundering herd",…

This skill should be used when the user asks about the "CAP theorem", "PACELC", a "consistency model", "eventual vs strong consistency", "read-your-writes", "causal consistency", "quorum" or "R+W>N", "consensus", "Raft / Paxos", "leader election", "consistent…

This skill should be used when the user asks about a "CDN", "edge caching", "static asset delivery", "media / video delivery", "geo distribution of content" or "edge POP selection", "push vs pull CDN", "cache-control headers" / "TTL for static assets",…

This skill should be used when the user designs a "message queue", reaches for "Kafka", "RabbitMQ", "SQS", "Kinesis", "pub/sub", or "event-driven" architecture, asks about "async processing", "background jobs", "stream processing", or wrestles with…

This skill should be used when the user asks "monolith vs microservices", how to "split into services", set "service boundaries", find the right "service granularity", design an "API gateway / BFF", do "service discovery" or add a "service mesh", or worries…

This skill should be used when the user asks to "design a system", "design <a product>" (e.g. "design WhatsApp", "design a URL shortener", "design a news feed"), "high-level architecture for…", "how would you architect…", "system design interview", or wants…

This skill should be used when the user needs to "design the API", do "endpoint design", pin down a "request/response shape", choose a "pagination" strategy (cursor vs offset), add an "idempotency key" to a write, plan "API versioning", an "error contract",…

Imports structural mechanisms from distant domains to generate novel ideas. Use when dream seeds are coherent but unsurprising — good quality but lacking novelty. Activates on well-formed but predictable seed patterns.

Inverts implicit assumptions in dream seeds to generate structurally novel ideas. Use when seeds repeat themes across 2+ cycles or produce only incremental variations. Activates on stale, converging, or overly similar dream outputs.

Defines tone, response length, and platform-specific formatting rules for the Executor's responses. Use for EVERY response the Executor sends to the outside world. Activates on all external communication — WhatsApp messages, web responses, API outputs, and…

Decision matrix for when and how to escalate actions based on action weight. Determines free execution (1-3), logged execution (4-5), Judge-required (6-7), and hard stops (8-10). Use when the Executor receives an action and needs to decide whether to execute,…

Schema-aware workflow for writing structured journal entries. Ensures all entries conform to the Pydantic models in memory/schema.py. Use when the Executor needs to record an action, outcome, learning, or any other journal section. Activates after task…

SSGM-aware protocol for safely mutating the Judge's belief system. Checks for conflicts before writing, uses a decision tree (merge/supersede/coexist/review), and enforces required fields. Use when the Judge needs to update, add, or modify its beliefs based…

Deepens Dreamer's ideas by tracing seed lineage, connecting to past experience, and detecting breakthroughs. Use when the Judge is in collaborator mode during dream cycles. Activates when evaluating dream seeds for breakthrough potential.

Evaluates proposed actions against a 4-dimension rubric: harm potential, alignment with J.D.'s values, reversibility, and action weight. Use when the Judge is in filter mode and needs to assess whether an action should be approved, modified, or rejected.…

This skill should be used when the user asks to "create a Temporal workflow", "write a Temporal activity", "debug stuck workflow", "fix non-determinism error", "Temporal TypeScript", "workflow replay", "activity timeout", "signal workflow", "query workflow",…

Interactive visual playground for designing, editing, and generating Temporal workflows. Use when the user wants to visually build workflows, load existing project workflows onto a canvas, or generate workflow code from a visual spec. Includes its own MCP…

NestJS microservices development. Use when creating controllers, services, modules, guards, interceptors, or working with NestJS patterns in auth, order, or product services.

Prisma ORM and PostgreSQL database operations. Use when working with database schema, migrations, queries, or the @projectx/db package.

React Router v7 full-stack development with SSR. Use when working with routes, loaders, actions, SSR, Form components, fetchers, navigation guards, protected routes, URL search params, or the web app in apps/web.

Turborepo monorepo management. Use when working with workspaces, build pipelines, caching, or monorepo-wide operations.

Transform research papers into professional visual schemas. Analyzes paper logic, selects optimal layout patterns, and generates detailed prompts for AI image generation.

Generate format-controlled research reports with evidence tracking, citations, and iterative review. This skill should be used when users request a research report, literature review, market or industry analysis, competitive landscape, policy or technical…

Image generation skill using Gemini Web. Generates images from text prompts via Google Gemini. Also supports text generation. Use as the image generation backend for other skills like cover-image, xhs-images, article-illustrator.

Transform academic papers into in-depth technical articles with multiple writing style options. Use the MinerU Cloud API for high-precision PDF parsing, automatically extracting images, tables, and formulas. Optional formula explanations and GitHub code…

Generate educational comics from academic papers, using visual storytelling to explain core ideas and innovations. Supports 4 art styles: classic (clean lines), tech (futuristic), warm (friendly), chalk (blackboard). Uses genimg-gemini-web to generate images.

Analyzes research papers (PDF/arXiv URL) and converts them into executable code. Automatically activated upon requests for paper replication, algorithm implementation, or research reproduction. Responds to requests like "Implement this paper", "paper2code",…

Comprehensive job search strategy skill for analyzing job postings, discovering non-obvious insights, conducting conversational skills-matching interviews, identifying skill development needs and creating creative, personalized application strategies. This…

Comprehensive resume creation, review and optimization with support for multiple formats, ATS optimization, industry-specific guidance and career stage customization. Use this skill when users request help writing, creating, reviewing, improving or tailoring…

Analyzes job descriptions and generates tailored resumes that highlight relevant experience, skills and achievements to maximize interview chances

Used when the user asks to "create HTML slides", "generate an HTML presentation", "make animated slides", "build interactive slides", "create web slides", "GSAP presentation", "browser-based slides", "convert PPTX to HTML", "animated deck", "reveal.js…

Used when the user asks to "create a PowerPoint", "generate PPTX slides", "make a PowerPoint presentation", "build a .pptx deck", "create editable slides", "PptxGenJS", "editable presentation", "corporate deck", "slide deck for sharing", or when the output…

Used when the user asks to "create slides", "make a presentation", "build a deck", "design slides", "generate a pitch deck", "create a conference talk", "make a keynote", "presentation design", "slide layout", "slide template", "presentation structure", or…

Autonomous LLM training optimization with GPU support. Runs 5-minute training experiments, measures val_bpb, keeps improvements or reverts — repeat forever. Use this skill when the user asks to "train a model autonomously", "optimize LLM training", "run ML…

Autonomous experiment loop: edit code, commit, run benchmark, extract metrics, keep improvements or revert, repeat forever. Use this skill when the user asks to "run autoresearch", "start an experiment loop", "optimize a metric autonomously", "autonomous…

Interact with Google NotebookLM notebooks — chat with the AI, generate artifacts (slides, audio, video, mind maps, quizzes, flashcards, infographics, reports, data tables), manage sources (add URLs, YouTube, files, text), run research (fast/deep web…