Results for “e-e-a-t”

Performance-coaching mode for repeated failures, passive behavior, completion-quality issues, or explicit try-harder requests. Uses structured troubleshooting and evidence-first delivery habits.

Plan tailored engagement for a specific stakeholder before critical conversations, milestones, or relationship repairs.

Guides technical evaluation of code review feedback, emphasizing verification before implementation and reasoned pushback over performative agreement.

Klaviyo marketing operations and analyst expertise. Audit flows, segments, campaigns, deliverability, and revenue attribution. Use when the user asks about Klaviyo marketing strategy, email/SMS automation, customer segmentation, flow optimization, or lifecycle marketing. For API integration, SDK, webhook, or developer questions, see the klaviyo-developer skill.

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

Build and sharpen a project's domain model. Use when discussing codebase terminology, writing or editing a CONTEXT.md, or recording or editing an ADR.

Design error prevention, detection, and recovery experiences that minimize user frustration.

Search scientific papers and retrieve structured experimental data extracted from full-text studies via the BGPT MCP server, returning 25+ fields per paper including methods, results, sample sizes, quality scores, and conclusions.

Build sandboxed applications for secure code execution. Load when building AI code execution, code interpreters, CI/CD systems, interactive dev environments, or executing untrusted code. Covers Sandbox SDK lifecycle, commands, files, code interpreter, and preview URLs. Biases towards retrieval from Cloudflare docs over pre-trained knowledge.

Identify and exploit SSRF vulnerabilities to access internal services, cloud metadata, and restricted network resources during authorized penetration tests.

Discovers and installs agent skills from the open ecosystem using the Skills CLI, helping users find capabilities for tasks like React performance, PR reviews, and changelogs.

Use when designing AI product first-run or blank-slate UX — chat empty state, example prompts, capability discovery, templates, nudges, or follow-ups. Trigger on "users don't know what to ask", onboarding, suggestion chips, or discoverability.

Begins a new version release using git-flow. This skill should be used when the user asks to "start a release", "create release branch", "prepare a release", "git flow release start", or wants to begin a new version release. Accepts either an explicit version or a natural-language description of the release.

Reviews animation and motion code against a high craft bar derived from Emil Kowalski's design engineering philosophy (see `emil-design-eng`). Default to flagging; approval is earned. Use when reviewing a diff for motion quality — not for writing features, fixing unrelated bugs, or general (non-motion) code review. For building an animation from scratch, use `animate`; for a whole-codebase audit, use `improve-animations`. Source: github.com/emilkowalski/skills.

Use Orca orchestration for structured multi-agent coordination: threaded messages, blocking ask/reply flows, task dispatch, worker_done/escalation waits, task DAGs, decision gates, coordinator loops, or decomposing work across agents. Use `orca-cli` instead for full ownership handoffs, including requests phrased as "hand off", "handoff", "handover", "give this to another agent", or "another worktree" when the user did not explicitly ask to supervise, monitor, wait for results, or coordinate a DAG. Use `orca-cli` for ordinary terminal control, lightweight terminal prompts, shell commands, Orca worktree management, reading or waiting on terminals, and automation of the browser embedded inside Orca. Use Computer Use for browser windows, webviews, Orca app UI, or desktop UI outside Orca's embedded browser.

Generates and edits images using GPT Image 2 across three modes: direct generation via OpenAI-compatible API, prompt engineering for host-native image tools, or pure prompt advisory. Includes 80+ structured templates for posters, UI mockups, product visuals, maps, slides, and more.

Builds a feature implementation plan from an existing feature specification (or equivalent context) through a facilitated team conversation. Use when the user wants to plan how to implement, build, deliver, or ship a feature that has already been specified. Does not specify what the feature should do — use plan-a-feature first. Does not design the contract for an interface — use design-an-api. Does not refine or stress-test an already-written plan — use iterative-plan-review. Runs its resolution rounds to completion and holds its questions until after they finish; to review each round as it lands, use pairing.

Send custom logs to Azure Monitor via Data Collection Rules and Data Collection Endpoints using the Java SDK.

Identifies and unpacks UPX-packed and other packed malware samples to expose the original executable code for static analysis.

Use when incorporating information from research, references, or external sources. This skill provides verification procedures to ensure information used in deliverables is accurate, current, and from authoritative sources, preventing hallucination and misinformation.

Generate images and videos with AIsa. Supports Gemini, Wan, and Seedream image generation plus Wan text-to-video and image-to-video models. One API key; the bundled client routes each model to the correct endpoint automatically. Use when: you need a neutral AIsa media-generation skill that spans multiple model families without changing credentials or request flow.

Analyze a codebase and generate onboarding documentation for engineers, tech leads, and contractors, with fast fact-gathering and repeatable outputs.

React Native and Expo best practices for building performant mobile apps. Use this skill when building React Native or Expo applications, optimizing list performance with FlashList, implementing animations with Reanimated, configuring native modules, routing with expo-router, managing state in mobile contexts, or working in monorepo setups with Expo. Apply proactively when writing FlatList, useEffect for animations, TouchableOpacity, or setting up navigation — these patterns prevent common mobile performance pitfalls.

Documents Cohere's 2026 web design system with color palettes, typography hierarchy, spacing, and layout principles for enterprise AI interfaces.

Orchestrates bounded, governed iteration loops over existing agent commands and offices, with explicit stopping conditions, checkpoints, and honest terminal states.

Explains React Server and Client Components, data fetching, streaming with Suspense, passing data, and Server Actions with code examples.

Initializes bug bounty hunt workspaces, logs vulnerability findings with severity and evidence, and enriches them throughout a session.

Engage Reddit, Indie Hackers, Hacker News and other communities for Product Hunt launches. Use this skill to identify relevant communities, craft appropriate posts, and drive cross-platform engagement without appearing spammy.

Extract Xiaohongshu (RedNote) user profile information and published notes list by user ID, returning nickname, bio, follower/following counts, engagement totals, tags, and paginated notes with engagement stats.

Standard single-cell RNA-seq analysis pipeline. Use for QC, normalization, dimensionality reduction (PCA/UMAP/t-SNE), clustering, differential expression, and visualization. Best for exploratory scRNA-seq analysis with established workflows. For deep learning models use scvi-tools; for data format questions use anndata.

Pitfalls, examples, and edge cases for Hermes Kanban workers. The lifecycle itself is auto-injected into every worker's system prompt as KANBAN_GUIDANCE (from agent/prompt_builder.py); this skill is what you load when you want deeper detail on specific scenarios.

Pitfalls, examples, and edge cases for Hermes Kanban workers. The lifecycle itself is auto-injected into every worker's system prompt as KANBAN_GUIDANCE (from agent/prompt_builder.py); this skill is what you load when you want deeper detail on specific scenarios.

Standard single-cell RNA-seq analysis pipeline. Use for QC, normalization, dimensionality reduction (PCA/UMAP/t-SNE), clustering, differential expression, and visualization. Best for exploratory scRNA-seq analysis with established workflows. For deep learning models use scvi-tools; for data format questions use anndata.

Convert existing tasks into actionable, dependency-ordered GitHub issues for the feature based on available design artifacts.

Designs A/B tests with sample size calculation, statistical significance testing, and result interpretation

Transforms data in warehouses using dbt with SQL models, tests, and documentation. Use for analytics engineering and data transformation.