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sequential-thinking
by duongdev
Structured problem-solving through iterative reasoning with revision and branching capabilities for complex problems. Use when tackling multi-step problems with uncertain scope, design planning, architecture decisions, or systematic decomposition. Auto-activates when user asks about breaking down epics, designing systems, assessing complexity, or performing root-cause analysis. Uses 6-step process: Initial assessment (rough estimate) → Iterative reasoning (learn progressively) → Dynamic scope adjustment (refine as understanding deepens) → Revision mechanism (update when assumptions change) → Branching for alternatives (explore multiple approaches) → Conclusion (synthesize findings). Supports explicit uncertainty acknowledgment within thoughts. Adjusts total thought count dynamically (e.g., "Thought 3/8" when initially estimated 5). Recommends binary search for intermittent issues and five-whys technique for root causes.
oceanbase-syntax
by amber-moe
Write SQL syntax definitions for OceanBase documentation. Syntax sections define structure without semicolons, while examples show executable statements. Use when writing syntax sections or reviewing SQL statement documentation.
xiaohongshu-publisher
by iamzifei
Publish images to Xiaohongshu (小红书) via CDP browser. Always saves as draft.
react-native-navigation
by pluginagentmarketplace
Master React Navigation - stacks, tabs, drawers, deep linking, and TypeScript integration
Advanced GetX Patterns
by Kaakati
Advanced GetX features including Workers, GetxService, SmartManagement, GetConnect, GetSocket, bindings composition, and testing patterns
issue-decomposition
by troykelly
Use when an issue is too large for a single task - breaks into linked sub-issues with full documentation, ensuring manageable work units
alamofire-patterns
by Kaakati
"Expert Alamofire decisions for iOS/tvOS: when Alamofire adds value vs URLSession suffices, interceptor chain design trade-offs, retry strategy selection, and certificate pinning considerations. Use when designing network layer, implementing auth token refresh, or choosing between networking approaches. Trigger keywords: Alamofire, URLSession, interceptor, RequestAdapter, RequestRetrier, certificate pinning, Session, network layer, token refresh, retry"
ccpm-debugging
by duongdev
Systematic debugging with defense-in-depth approach (symptoms → immediate cause → root cause → systemic issues → prevention). Auto-activates when user mentions "error", "failing", "broken", "debug", "bug", "issue" or when /ccpm:verify runs. Uses Observe → Hypothesize → Test → Confirm → Fix → Verify → Document workflow. Updates Linear with findings and automatically logs blockers that require external fixes. Traces root causes instead of patching symptoms. Integrates with ccpm-code-review to verify fixes pass all gates before marking complete. Suggests binary search for intermittent issues and five-whys analysis for complex problems.
Rails Context Verification
by Kaakati
Systematic verification of codebase context before code generation to prevent assumption bugs
security-engineering
by 89jobrien
Security architecture and implementation patterns. Use when designing
formbuilder-admin
by vishalsachdev
Create, edit, and manage forms in the University of Illinois ATLAS FormBuilder Admin application (appserv7.admin.uillinois.edu/FormBuilderAdmin). Use when the user needs to work with FormBuilder forms including: creating or editing form questions and sections, configuring event session categories and event sessions, setting up payment line items and CFOAPAL codes, managing workflow phases and routing triggers with conditional statements, configuring authentication and self-registration for local users, editing form periods, managing waitlists and registration limits, setting up question triggers for conditional visibility, working with text merge fields, handling form responses and reports, or troubleshooting form behavior. Keywords: FormBuilder, ATLAS, UIUC, form builder, event registration, survey, form questions, payment configuration, workflow, routing triggers, phases, event sessions, iPay, CFOAPAL.
oh-my-lilys
by JungHoonGhae
CLI tool for lilys.ai - Summarize YouTube, PDF, websites, and audio. Use when user wants to: (1) Summarize content from URLs, (2) List digest sessions, (3) Generate/fetch AI reports with different note types, (4) Manage authentication. Triggers: "summarize URL", "generate report", "get sessions", "lilys", "YouTube summary".
integrate-anything
by membranehq
Connect to any external API and perform actions — Slack, HubSpot, Salesforce, GitHub, Jira, Google Sheets, and 100,000+ more. Send messages, create tasks, sync data, manage contacts, or run any API operation.
project-planner
by mgiovani
Break down large projects into dependency-aware tasks with progress tracking
x-composer
by JungHoonGhae
Compose and post to X.com using Chrome CDP automation. Use when user asks to "post to X", "tweet", "draft a tweet", "share on X", or "write a thread". Handles Chrome launch, text input with emoji/unicode support, and multi-paragraph formatting via real browser automation (no API costs, bypasses anti-bot detection).
agent-browser
by mgiovani
"Headless browser automation CLI optimized for AI agents. Uses snapshot + refs system for 93% less context overhead vs Playwright. Purpose-built for web testing, form automation, screenshots, and data extraction."
nuxt-config
by leeovery
Nuxt and app configuration files. Use when configuring nuxt.config.ts, app.config.ts, environment variables, runtime config, or understanding how configuration flows through the application.
agent-browser
by kvnwolf
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.
grepai
by audibleblink
Semantic code search, and call graph analysis with GrepAI. Use when (1) searching code by meaning/intent rather than exact text, (2) finding function callers or callees, or (3) integrating GrepAI with AI agents via JSON/TOON output.
learning-loop
by richfrem
"(Industry standard: Loop Agent / Single Agent) Primary Use Case: Self-contained research, content generation, and exploration where no inner delegation is required. Self-directed research and knowledge capture loop. Use when: starting a session (Orientation), performing research (Synthesis), or closing a session (Seal, Persist, Retrospective). Ensures knowledge survives across isolated agent sessions."
create-e2e-test
by kvnwolf
Write end-to-end tests with Playwright Test for full user flow verification. Consult this skill whenever testing complete user flows, verifying multi-page interactions, testing authentication flows, or creating E2E tests that exercise the full application stack.
jira-integration
by QuestNova502
"Agent Skill: Comprehensive Jira integration through lightweight Python scripts. AUTOMATICALLY TRIGGER when user mentions Jira URLs like 'https://jira./browse/', 'https://.atlassian.net/browse/', or issue keys like 'PROJ-123'. Use when searching issues (JQL), getting/updating issue details, creating issues, transitioning status, adding comments, logging worklogs, managing sprints and boards, creating issue links, or formatting Jira wiki markup. If authentication fails, offer to configure credentials interactively. Supports both Jira Cloud and Server/Data Center with automatic authentication detection. By Netresearch."
browser-automation
by femto
Control Chrome browser with AI using MCP protocol. Use when users want to automate browser tasks, take screenshots, fill forms, click elements, navigate pages, search browsing history, manage bookmarks, or perform any browser-based automation. Works with your existing Chrome browser and login sessions.
user-input-protocol
by jwilger
Structured checkpoint format for requesting human input. When an agent needs a decision, it must stop, present context, show options, and wait. Activate when delegating to subagents, running background tasks, or hitting any decision point that requires human judgment.