Results for “e-e-a-t”

Generates interactive HTML explainers for code diffs, branches, and PRs from a single Markdown document, using a renderer to produce styled output with diagrams and quizzes.

Curate Claude Code's auto-memory into durable project knowledge. Analyze MEMORY.md for patterns, promote proven learnings to CLAUDE.md and .claude/rules/, extract recurring solutions into reusable skills. Use when: (1) reviewing what Claude has learned about your project, (2) graduating a pattern from notes to enforced rules, (3) turning a debugging solution into a skill, (4) checking memory health and capacity.

Configura e diagnostica Nginx: reverse proxy, TLS, HTTP/2, HTTP/3, cache, compressão, rate limit e load balancing, com verificação obrigatória de configuração antes de recarregar.

Transforms vague UI ideas into polished, Stitch-optimized prompts by enhancing specificity, adding UI/UX keywords, injecting design system context, and structuring output for better generation results.

Vector embeddings with HNSW indexing, sql.js persistence, and hyperbolic support. 75x faster with agentic-flow integration. Use when: semantic search, pattern matching, similarity queries, knowledge retrieval. Skip when: exact text matching, simple lookups, no semantic understanding needed.

Use to convert references to Cell Press author–date style — in-text "(Smith et al., 2021)", an alphabetical reference list by first author with full author lists, journal names spelled out. This is the OPPOSITE of Science's numbered-by-appearance style.

Central utility skill for GSD operations. Provides config parsing, slug generation, timestamps, path operations, and orchestrates calls to other specialized skills. Acts as the unified entry point that the original gsd-tools.cjs provided via its lib/ modules (commands, config, core, init).

Web and App implementation guide for 3D UI. Trigger when user wants actual 3D objects, perspective effects, and spatial depth.

REST API design patterns including resource naming, status codes, pagination, filtering, error responses, versioning, and rate limiting for production APIs.

Complexity-based task routing with Q-Learning optimization, Agent Booster WASM fast-path, and Mixture-of-Experts model selection.

Strategic patterns for solving intractable problems through cascading approximation, self-improvement, and heterogeneous evaluation from DeepMind's AlphaGo system

Docker HUB API skill. Use when working with Docker HUB for users, auth, access-tokens. Covers 54 endpoints.

Identify and design growth loops (flywheels) for sustainable traction, evaluating five proven mechanisms: viral, usage, collaboration, user-generated, and referral.

Write, edit, and debug scripts for Rhinoceros 3D (Rhino 8+), covering RhinoPython, RhinoScript/VBScript, RhinoCommon .NET, and command macros for automating modeling tasks.

Provides expert guidance on modern Java 21+ development, covering virtual threads, Spring Boot 3.x, JVM optimization, and cloud-native enterprise patterns.

Checks how well a Linear cycle is prepared. Reports per-person load in working days against available days, tickets with no estimate, tickets nobody is assigned to, oversized tickets that need splitting, work that did not finish last cycle, on-call rotation cost, and how groomed the backlog behind the cycle is. Invoke when the user says "cyclotic", "cyclotic prep", "cyclotic prep next", "cyclotic review", "cyclotic init", "cyclotic configure", "cyclotic for" a person's name, "cyclotic show cards", "cyclotic list tickets", "cyclotic explain" a person's name, or adds "-v" or "verbose" to any of those. Also invoke when the user asks whether a cycle or sprint is ready, who is over or under capacity, what carried over from last cycle, which tickets still need estimates, how the backlog looks going into planning, what is in the cycle and at what sizes, or how one person's load adds up. Read-only against Linear.

Optimize content to get cited by AI search engines — ChatGPT, Perplexity, Google AI Overviews, Claude, Gemini, Copilot. Use when you want your content to appear in AI-generated answers, not just ranked in blue links. Triggers: 'optimize for AI search', 'get cited by ChatGPT', 'AI Overviews', 'Perplexity citations', 'AI SEO', 'generative search', 'LLM visibility', 'GEO' (generative engine optimization). NOT for traditional SEO ranking (use seo-audit). NOT for content creation (use content-production).

Optimize content to get cited by AI search engines — ChatGPT, Perplexity, Google AI Overviews, Claude, Gemini, Copilot. Use when you want your content to appear in AI-generated answers, not just ranked in blue links. Triggers: 'optimize for AI search', 'get cited by ChatGPT', 'AI Overviews', 'Perplexity citations', 'AI SEO', 'generative search', 'LLM visibility', 'GEO' (generative engine optimization). NOT for traditional SEO ranking (use seo-audit). NOT for content creation (use content-production).

Optimize content to get cited by AI search engines — ChatGPT, Perplexity, Google AI Overviews, Claude, Gemini, Copilot. Use when you want your content to appear in AI-generated answers, not just ranked in blue links. Triggers: 'optimize for AI search', 'get cited by ChatGPT', 'AI Overviews', 'Perplexity citations', 'AI SEO', 'generative search', 'LLM visibility', 'GEO' (generative engine optimization). NOT for traditional SEO ranking (use seo-audit). NOT for content creation (use content-production).

When the user wants to create sales collateral, pitch decks, one-pagers, objection handling docs, or demo scripts. Also use when the user mentions 'sales deck,' 'pitch deck,' 'one-pager,' 'leave-behind,' 'objection handling,' 'deal-specific ROI analysis,' 'demo script,' 'talk track,' 'sales playbook,' 'proposal template,' 'buyer persona card,' 'help my sales team,' 'sales materials,' or 'what should I give my sales reps.' Use this for any document or asset that helps a sales team close deals. For competitor comparison pages and battle cards, see competitors. For marketing website copy, see copywriting. For cold outreach emails, see cold-email. For the offer being sold (bonuses, guarantees, pricing structure), see offers.

Analyzes AWS X-Ray traces and service maps, including fault and error analysis, latency investigation, sampling rule review, and group configuration.

Design shotgun: generate multiple AI design variants, open a comparison board, collect structured feedback, and iterate. Standalone design exploration you can run anytime. Use when: "explore designs", "show me options", "design variants", "visual brainstorm", or "I don't like how this looks". Proactively suggest when the user describes a UI feature but hasn't seen what it could look like. (gstack)

Sets countdown timers by parsing durations, confirming the end time, and noting that push notifications require the cron system.

Reference for AWS services, architecture patterns, and Well-Architected Framework implementation.

Publishes long-form articles to hum.pub, handling registration, authentication, SEO metadata, and audience engagement.

Implement a structured threat intelligence lifecycle encompassing planning, collection, processing, analysis, dissemination, and feedback stages to produce actionable intelligence for organizational decision-making.

Write and debug code inside n8n's Custom Code Tool node, with guidance on input modes, return formats, error handling, and common pitfalls.

Implements AI safety guardrails including input validation, output filtering, robustness testing, human oversight, and monitoring to prevent harmful outputs and ensure system reliability.

Use this skill for repo mapping, entry points, ownership, dependency graph, risk areas, impact analysis before implementation. Trigger when the task involves programming work related to Codebase Map Indexer, implementation, audits, debugging, strategy, or validation.

Design data systems by understanding storage engines, replication, partitioning, transactions, and consistency models. Use when the user mentions "database choice", "replication lag", "partitioning strategy", "consistency vs availability", "stream processing", "ACID transactions", "eventual consistency", or "LSM tree vs B-tree". Also trigger when choosing between SQL and NoSQL, designing data pipelines, or debugging distributed system consistency issues. Covers data models, batch/stream processing, and distributed consensus. For system design, see system-design. For resilience, see release-it.

Summarizes, condenses, or extracts text, transcripts, and key points from URLs, articles, web pages, PDFs, podcasts, YouTube videos, and local files. Acts as a fallback transcription tool when the user asks to transcribe, digest, recap, or get the gist of a link, video, or document.

Use when auditing an ACM IMC submission for HotCRP readiness, covering the paper-registration step, the acmart template with BBL upload, the full/short page limits, double-blind anonymity including vantage-point details, the mandatory Ethics section, the artifact-availability declaration, cycle choice, and desk-reject triage before the AoE cutoff.

Identifies patients with adrenal tumors on CT who should undergo dexamethasone suppression test to evaluate for autonomous cortisol co-secretion. Triggers include when a clinician finds an adrenal tumor on CT and asks 'Should I test for cortisol co-secretion?' or is planning AVS for a tumor >3.0 cm.

Creates CodeTour .tour files — persona-targeted, step-by-step walkthroughs that link to real files and line numbers for any repository.

Generates SQL queries against a custom database schema (Vika/Airtable-like) to look up table names, dst_ids, records, and field metadata.

Provides expert guidance on modern Rust 1.75+ development, covering async patterns, advanced type system features, and production-ready systems programming.