Upgrade React applications to latest versions, migrate from class components to hooks, and adopt concurrent features. Use when modernizing React codebases, migrating to React Hooks, or upgrading to latest React versions.

Upgrade React applications to latest versions, migrate from class components to hooks, and adopt concurrent features. Use when modernizing React codebases, migrating to React Hooks, or upgrading to latest React versions.

Upgrade React applications to latest versions, migrate from class components to hooks, and adopt concurrent features. Use when modernizing React codebases, migrating to React Hooks, or upgrading to latest React versions.

Master modern React state management with Redux Toolkit, Zustand, Jotai, and React Query. Use when setting up global state, managing server state, or choosing between state management solutions.

Master modern React state management with Redux Toolkit, Zustand, Jotai, and React Query. Use when setting up global state, managing server state, or choosing between state management solutions.

Master modern React state management with Redux Toolkit, Zustand, Jotai, and React Query. Use when setting up global state, managing server state, or choosing between state management solutions.

Testing patterns for Vitest, React Testing Library, and Jest. Routes to component, hook, and integration test examples.

Generates comprehensive README.md files for software projects by analyzing codebase structure

Generates comprehensive README.md files for software projects by analyzing codebase structure

Access your Readwise highlights and Reader documents from the command line. Search, read, organize, and manage your entire reading library.

Readwise's UI design system. Use when building interfaces inspired by Readwise's aesthetic - light mode, Inter font, 4px grid.

Real-world evidence analysis in R, including target trial emulation, propensity scores, external controls, and bias analysis.

Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation

Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation

Investigate problem, verify findings, and derive solutions

Orchestrate the complete implementation lifecycle from requirements to deployment

Reconnaissance and methodology playbook. Use when mapping assets, discovering endpoints, fingerprinting technology, and building a structured testing plan for a new target.

Analyze AppWorld task failures to extract specific API patterns and generate actionable playbook bullets with concrete code examples

Configure regional settings. Use when: setting timezone, language, compliance rules, currency, or local preferences.

Use when debugging register corruption issues - registers have unexpected values after context switches, userspace processes crash with corrupted state, stack pointer corruption, syscall return values corrupted, or timer interrupt handlers corrupting register state.

Walk the knowledge graph (rooted at CLAUDE.md) and ensure every crucial design constraint — invariants, prohibitions, required patterns, load-bearing decisions — is stated inline in CLAUDE.md with a link to its full rationale for expanded discovery. Use when constraints are buried in ADRs, knowledge docs, code comments, or tribal knowledge; when an agent violated a rule it had no way to know; or when asked to surface, hoist, lift, strengthen, or reinforce design constraints, or make them discoverable to agents.

Update version in pyproject.toml, plugin.json, and add changelog entry. This skill should be used when the user wants to bump the version number and update CHANGELOG.md. Triggered by /release or /version commands.

Prepare and execute a Python package release with verification steps. Use for releasing Python packages with uv and ruff.

Generic release assistant — analyzes repo release rules, caches them in .omc/RELEASE_RULE.md, then guides the release

Generate release notes in multiple formats from git commits

Review the current conversation and capture valuable knowledge — best practices, coding conventions, architecture decisions, workflows, and user feedback — into persistent memory (AGENTS.md) or reusable skills. Use when the user says: (1) remember this, (2) save what we learned, (3) update memory, (4) capture learnings.

Generates render and output configuration for Remotion videos. Focuses ONLY on output settings, codec, format, quality, resolution. Input is target platform/quality requirements. Output is RENDER_CONFIG.md with Remotion render settings.

Teaches Vue render functions and JSX for programmatic template creation. Use when templates are too limiting and you need the full power of JavaScript to construct component output dynamically.

Teaches the renderless component pattern for logic-only Vue components. Use when you want to encapsulate behavior without dictating markup, letting consumers control rendering via scoped slots.

Use when applying a skill repeatedly with progressive deepening for iterative improvement.

Use this agent when you need to conduct thorough research on a repository's structure, documentation, and patterns. This includes analyzing architecture files, examining GitHub issues for patterns, reviewing contribution guidelines, checking for templates, and searching codebases for implementation patterns. The agent excels at gathering comprehensive information about a project's conventions and best practices.\n\nExamples:\n- <example>\n Context: User wants to understand a new repository's structure and conventions before contributing.\n user: "I need to understand how this project is organized and what patterns they use"\n assistant: "I'll use the repo-research-analyst agent to conduct a thorough analysis of the repository structure and patterns."\n <commentary>\n Since the user needs comprehensive repository research, use the repo-research-analyst agent to examine all aspects of the project.\n </commentary>\n</example>\n- <example>\n Context: User is preparing to create a GitHub issue and wants to foll...

Use when completing tasks, implementing major features, or before merging to verify work meets requirements

Append new field definitions to an in-progress research outline's `fields.yaml` — either from user-supplied input or from a web-search agent that proposes common dimensions in the domain. Use mid-`/research-outline` when you've realised the schema is missing dimensions (e.g. pricing, performance, ecosystem, governance) before running `/research-deep`, so deep agents fill the new fields on first pass instead of needing a re-run.

Append new items (research objects) to an in-progress research outline's `outline.yaml` — sourced from your direct input, a web-search agent, or both. Use mid-`/research-outline` when you've realised the items list is incomplete (a new competitor surfaced, an important historical entry was missed, a category needs broader coverage) before running `/research-deep`, so the new items are part of the parallel deep pass instead of needing a separate run.

Generate multi-LLM research design with optimized prompts for each model. PROACTIVELY activate for: (1) research planning, (2) competitive analysis, (3) market research, (4) technology evaluation, (5) strategic research. Triggers: "research brief", "research design", "research plan", "competitive analysis", "market research", "multi-model research"

Quick entry point for structured knowledge elicitation with epistemic tracking. PROACTIVELY activate for: (1) interviews and requirements gathering, (2) problem definition, (3) domain knowledge capture, (4) stakeholder elicitation, (5) assumptions surfacing. Triggers: "research interview", "elicit knowledge", "gather requirements", "define problem", "interview stakeholder", "capture domain knowledge"

Evaluative research type sub-skill. Router-dispatched from research-agent parent on signals like "Did X work", "Impact", "Is X effective", "Worth it", "Evaluate", "Assess". Loads the Impact Assessment pattern (Pattern D) with PICO framework and risk-of-bias summary. Not directly model-invocable.

Use when planning features and need current API docs, library patterns, or external knowledge; when testing hypotheses about technology choices or claims; when verifying assumptions before design decisions - gathers well-sourced, current information from the internet to inform technical decisions

Use when a task fails, an approach does not work, when encountering errors during implementation, or when tempted to say "I cannot do this" - ensures retry with at least 3 genuinely different approaches before escalating

Guide for interpreting ResolveProjectReferences time in MSBuild performance summaries. Only activate in MSBuild/.NET build context. Activate when ResolveProjectReferences appears as the most expensive target and developers are trying to optimize it directly. Explains that the reported time includes wait time for dependent project builds and is misleading. Guides users to focus on task self-time instead. Do not activate for general build performance -- use build-perf-diagnostics instead.

This skill creates a comprehensive retargeting campaign strategy based on the teachings of Jon Penberthy and Frank Kern. It covers audience segmentation, sequential ad creative, frequency capping, platform tactics, exclusion audiences, and creative fatigue prevention.

Retool's UI design system. Use when building interfaces inspired by Retool's aesthetic - light mode, Inter font, 4px grid.

Generate Frida hook scripts using modern Frida API. Activate when the user wants to write Frida scripts, hook functions at runtime, trace calls or arguments or return values, intercept native or ObjC or Java methods, dump memory or exports, or handle native module load timing for Android and other targets.

Use when onboarding to an existing codebase that lacks specifications — exhaustively traces code paths and produces implementation-free behavioral specifications for safe refactoring, feature addition, or legacy modernization

Review recent changes for correctness, regressions, and relevant domain-specific quality criteria

Structured code review with risk, security, and performance assessment. Use when the user says "/schovi:review", "review this PR", "review #123", "code review", or asks for a review of a GitHub PR, Jira ticket, branch, or local files.

Retrieves, synthesizes, and prioritizes all recent AI agent results from Amplitude. Queries every agent type available in get_agent_results, validates freshness, and produces a unified narrative ranked by impact. Use when the user asks "what has the AI found", "show me agent insights", "any AI findings", "what did Amplitude discover", "review AI insights", or wants a digest of everything Amplitude's AI agents have surfaced recently.

Interactively review plausibly AI-generated bug reports (from Detail, Copilot, or humans using AI) filed as GitHub issues. Use when the user says things like "let's review bug reports," "review issues," "review AI issues," or points at a specific machine-generated-looking issue.

Review code changes for quality, security, and performance. Use when user says "review my changes", "do a code review", "check this for issues", "analyze code quality", "security review", "performance review", "is this PR ready", or needs architecture, security, performance, and style analysis.

Review a contract against your organization's negotiation playbook — flag deviations, generate redlines, provide business impact analysis

Comprehensive PM resume review and tailoring against 10 best practices including XYZ+S formula, keyword optimization, job-specific tailoring, and structure. Use when reviewing a PM resume, preparing for job applications, or improving resume impact.

Analyzes feedback logs to identify patterns and suggest improvements to review skills. Use when you have accumulated feedback data and want to improve review accuracy.

Run a reviewer validation check on a PR at PCI. Validates the author's AI review, runs an independent code quality pass, and identifies missed issues.

Analyze AI/ML technical content (papers, articles, blog posts) and extract actionable insights filtered through enterprise AI engineering lens. Use when user provides URL/document for AI/ML content analysis, asks to "review this paper", or mentions technical content in domains like RAG, embeddings, fine-tuning, prompt engineering, LLM deployment.

Instrumenting streaming events: wires lib-streaming event emission end-to-end into a Lerian Go service via a 13-gate cycle (catalog, Builder bootstrap, Emit sites, outbox, HTTP manifest, NoopEmitter fallback, integration and chaos tests), dispatching ring:backend-go under TDD. Consumes the validated instrumentation-map.json from ring:mapping-streaming-events. Use after that map exists. Skip for non-Go or when no map is present.

Doguhan Uluca's Router-First Architecture - The 7 steps for designing scalable Angular applications by defining routes before components

Integrate TanStack Router with TanStack Query for optimal data fetching. Covers route loaders with query prefetching, ensuring instant navigation, and eliminating request waterfalls. Use when setting up route loaders or optimizing navigation performance.

Use when using ru for multi-repo commits, sync, GitHub review, or maintenance automation.

Capture reusable user rules.

Appwrite Rust SDK skill. Use when building server-side Rust applications with Appwrite. Covers async client setup with API keys, user management, TablesDB database/table/row operations, file storage, function executions, permissions, queries, and error handling. Uses the crates.io `appwrite` package and Tokio.

Rust async internals skill for understanding and debugging async Rust. Use when understanding the Future trait and poll model, Pin and Unpin, tokio task scheduling, debugging async stack traces with tokio-console, tracking waker leaks, using select! and join!, or avoiding blocking in async contexts. Activates on queries about Rust async internals, Future poll, Pin, Unpin, tokio-console, waker, async stack traces, select!, join!, or blocking in async.

Guide for Rust best practices, common patterns, and idiomatic code. Use when following Rust idioms, applying design patterns, or writing idiomatic Rust.

Help users integrate Runway image generation APIs (text-to-image with reference images)

Help users upload local files to Runway for use as inputs to generation models

Advises on SaaS pricing strategy using Daniel Priestley's oversubscription principles and Patrick Campbell's value-based framework. Use when defining pricing tiers, selecting value metrics, positioning against competitors, or creating pricing page copy for any SaaS product.

Prevent destructive operations using Claude Code hooks. Three modes — cautious (warn on dangerous commands), lockdown (restrict edits to one directory), and clear (remove restrictions). Uses PreToolUse matchers for Bash, Edit, and Write.

Implement proven sales methodologies (MEDDIC, BANT, Sandler, Challenger, SPIN) across your team. Generate framework-specific questions, score deals, train reps, and enforce consistent qualification. Use when implementing or optimizing sales processes.

Use for reusable Daytona sandbox workflows, SSH access, git setup, and isolated command execution.

Files the current conversation answer as a permanent wiki page in Obsidian. Make sure to use this skill whenever the user says "save this to my notes", "add this to my knowledge base", "create a wiki page for this", "save what we discussed", or "file this answer". Converts session synthesis, insights, or technical decisions into a self-contained reference note. Never writes a note that references "the conversation above" — the body must stand alone.

Test web applications with screen readers including VoiceOver, NVDA, and JAWS. Use when validating screen reader compatibility, debugging accessibility issues, or ensuring assistive technology support.

Plan compelling App Store screenshot sequences that showcase your app's value. Use when preparing App Store assets, improving screenshot conversion, or drafting screenshot captions for a launch or major update.

Closes a completed SDD change by saving an archive report to engram and optionally updating ai-context/ memory. Trigger: /sdd-archive <change-name>, archive change, finalize SDD cycle, close change.

Our World In Data offers thousands of charts and related data on many important topics - from global population data, energy and electricity, economic data like GDP or poverty, health data like causes of death or prevalence of diseases, to data on democracy, violence and war. This skill describes how to effectively search for charts to either show visually or download the data for.

Enhanced code search with semantic understanding, pattern matching, and intelligent query interpr...

Finding files on Linux and macOS machines

Detect API keys, passwords, tokens, and other secrets in code. Use when you need to find hardcoded credentials and sensitive data in source code.

Detects leaked API keys, tokens, passwords, and credentials in code with pre-commit hooks, CI checks, scanning rules, and remediation procedures. Use for "secret scanning", "credential detection", "API key leaks", or "secret management".

Run a self-contained security audit workflow for web applications and APIs, covering scoping, reconnaissance, manual testing, API review, hardening, and reporting.

OWASP A06 - Security Misconfiguration Detection. Use this skill when configuring servers, frameworks, cloud services, or deploying applications. Activate when: server config, nginx config, apache config, CORS, headers, debug mode, default credentials, error messages, directory listing, cloud security, S3 bucket, environment variables.

Use this agent when you need to perform security audits, vulnerability assessments, or security reviews of code. This includes checking for common security vulnerabilities, validating input handling, reviewing authentication/authorization implementations, scanning for hardcoded secrets, and ensuring OWASP compliance. <example>Context: The user wants to ensure their newly implemented API endpoints are secure before deployment.\nuser: "I've just finished implementing the user authentication endpoints. Can you check them for security issues?"\nassistant: "I'll use the security-sentinel agent to perform a comprehensive security review of your authentication endpoints."\n<commentary>Since the user is asking for a security review of authentication code, use the security-sentinel agent to scan for vulnerabilities and ensure secure implementation.</commentary></example> <example>Context: The user is concerned about potential SQL injection vulnerabilities in their database queries.\nuser: "I'm worried about SQL inj...

Expert GNU sed one-liner generation and transformation. Use this skill whenever the user asks to transform text, edit files in-place, refactor code via CLI, process logs, do bulk find/replace, extract lines, delete patterns, or perform any stream editing task. Trigger on keywords like "sed", "replace in files", "find and replace", "edit in place", "strip lines", "extract pattern", "log filtering", "batch rename content", "remove lines matching", "transform output", or any request that maps to a sed one-liner or pipeline. When in doubt, use this skill — sed is often the right tool.

Use when preparing, submitting, polling, or debugging Seedance 2.0 video generation jobs from product images, storyboard images, UGC scripts, voiceover copy, or promptPlan request JSON. Use for splitting scripts into render segments, uploading references, creating request JSON, submitting jobs through the PostPlus Cloud service, polling predictions, and handing off local render paths.

Generate AI images using ByteDance Seedream 4.5. Use when you need to: (1) create images from text descriptions, (2) transform images with style transfer, or (3) generate high-quality artistic or realistic images.

A playful, arcade-inspired interface for games — built on the VT323 pixel typeface, hard-edged 0px corners, chunky pill buttons that physically press into solid offset blocks

Proposes patches for F2 (local-logic) and F3 (local-design) failures. NEVER applies without user approval. Confidence ≥0.7 to propose; below that, escalates raw findings. Counts toward replan_budget. Per-task: max 1; per-session: max 5.

Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.

Security pattern for systems that manage cryptographic keys themselves rather than delegating to an external service. Use when the application must store, retrieve, and manage cryptographic keys directly. Implementation of Cryptographic Key Management pattern. Covers key storage security, key derivation from passwords, limiting key exposure, and protecting key confidentiality and integrity throughout the lifecycle.

Semantic code search using the Semble MCP server. Use when exploring an unfamiliar codebase, finding code by what it does rather than exact text, locating an implementation, understanding how a feature works, or discovering related code. Triggers on requests like "where is X handled", "find the code that does Y", "how does Z work", "search the codebase for", or any semantic/exploratory code question where grep's literal matching is a poor fit.

Use when the user needs system design, architecture decision records, scalability analysis, trade-off evaluation, or non-functional requirements planning. Triggers: new system design, technology selection, scaling strategy, ADR creation, infrastructure topology, service boundary definition.

Use when the user needs API design, microservices architecture, event-driven systems, database integration, caching strategies, or backend observability. Triggers: REST/GraphQL API implementation, service architecture design, message queue setup, rate limiting, health checks, OpenTelemetry integration.

Analyze and resolve Sentry comments on GitHub Pull Requests. Use this when asked to review or fix issues identified by Sentry in PR comments. Can review specific PRs by number or automatically find recent PRs with Sentry feedback.

Analyze and resolve Sentry comments on GitHub Pull Requests. Use this when asked to review or fix issues identified by Sentry in PR comments. Can review specific PRs by number or automatically find recent PRs with Sentry feedback.

Optimize content for AI Overviews (formerly SGE), ChatGPT web search, Perplexity, and other AI-powered search experiences. Generative Engine Optimization (GEO) analysis including brand mention signals, AI crawler accessibility, llms.txt compliance, passage-level citability scoring, and platform-specific optimization. Use when user says "AI Overviews", "SGE", "GEO", "AI search", "LLM optimization", "Perplexity", "AI citations", "ChatGPT search", or "AI visibility".

Deep single-page SEO analysis covering on-page elements, content quality, technical meta tags, schema, images, and performance. Use when user says "analyze this page", "check page SEO", "single URL", "check this page", "page analysis", or provides a single URL for review.

Produce UML sequence diagrams (primary + alternate flows) — participants, sync vs async messages, activation, returns, alt/loop/par fragments, notes, creation/destruction. Mermaid sequenceDiagram.

DEPRECATED — superseded by the rosemary skill. MCP server-memory session management. Use rosemary instead when the rosemary CLI is available.