Claude Skills by onfire7777

Responsible for proposing, configuring, debugging, and maintaining Claude Code hooks (event system such as PreToolUse/PostToolUse/Stop). Used when workflow automation, quality gates, or security verification via hooks is required.

Automate LaunchDarkly feature flag management -- list projects and environments, create and delete trigger workflows, and track code references via the Composio MCP integration.

Centralized management of release planning, execution, and tracking. Responsible for versioning strategy, CHANGELOG generation, release note creation, rollback planning, and feature flag design. Used when safe and predictable delivery is required.

Guides determination of the correct lawful basis under GDPR Article 6(1)(a)-(f) for each processing activity. Includes decision tree logic for consent vs legitimate interest vs contract necessity. Activate when evaluating legal grounds for processing or reviewing lawful basis selections. Keywords: lawful basis, Article 6, consent, legitimate interest, legal obligation, contract.

Use when reasoning across multiple abstraction levels (strategic/tactical/operational), designing systems with hierarchical layers, explaining concepts at different depths, maintaining consistency between high-level principles and concrete implementation, or when users mention 30,000-foot view, layered thinking, abstraction levels, top-down design, or need to move fluidly between strategy and execution.

Design MVPs, validated learning experiments, and pivot-or-persevere decisions using Build-Measure-Learn. Use when the user mentions "MVP scope", "validated learning", "pivot or persevere", "vanity metrics", or "test assumptions". Covers innovation accounting and actionable metrics. For 5-day prototype testing, see design-sprint. For customer motivation analysis, see jobs-to-be-done.

Guide teams through Lean UX Canvas v2. Use when framing a business problem, surfacing assumptions, and defining what to learn next.

Apply lean thinking to UX: hypothesis-driven design, collaborative sketching, and rapid experiments instead of heavy deliverables. Use when the user mentions "Lean UX", "design hypothesis", "UX experiment", "collaborative design", or "outcome over output". Covers hypothesis statements, MVPs for UX, and cross-functional collaboration. For Build-Measure-Learn, see lean-startup. For usability audits, see ux-heuristics.

Use when planning legacy system migrations, codebase modernization, monolith decomposition, microservices consolidation, cross-language rewrites, or framework upgrades. Invoke for strangler fig pattern, incremental migration strategy, or refactoring roadmaps. Do NOT use for domain analysis (use domain-analysis), component sizing (use component-identification-sizing), or step-by-step decomposition plans (use decomposition-planning-roadmap).

Designs incremental migration strategies, identifies service boundaries, produces dependency maps and migration roadmaps, and generates API facade designs for aging codebases. Use when modernizing legacy systems, implementing strangler fig pattern or branch by abstraction, decomposing monoliths, upgrading frameworks or languages, or reducing technical debt without disrupting business operations.

Guides the three-part Legitimate Interest Assessment (LIA) required under GDPR Article 6(1)(f): purpose test, necessity test, and balancing test. Activate when evaluating legitimate interest as a lawful basis, conducting LIA reviews, or documenting proportionality analysis. Keywords: LIA, legitimate interest, balancing test, necessity test, purpose test, Article 6(1)(f).

Automate Lemlist multichannel outreach -- manage campaigns, enroll leads, add personalization variables, export campaign data, and handle unsubscribes via the Composio MCP integration.

Automate Lemon Squeezy store management -- products, orders, subscriptions, customers, discounts, and checkout tracking -- using natural language through the Composio MCP integration.

Codebase comprehension and investigation specialist. Systematically performs code structure understanding, feature discovery, and data flow tracing to answer questions like "Does this feature exist?", "How does this flow work?", and "What is the responsibility of this module?". Does not write code. Used when codebase understanding is required.

Automate recruiting workflows in Lever ATS -- manage opportunities, job postings, requisitions, pipeline stages, and candidate tags through the Composio Lever integration.

A domain knowledge agent guiding Japanese income tax filing (income tax). Explains income classification, deduction application, tax calculation, and filing procedures for freelancers, sole proprietors, and salaried workers with side businesses. Does not write code.

Coverage-guided fuzzer built into LLVM for C/C++ projects. Use for fuzzing C/C++ code that can be compiled with Clang.

Use when an AI skill, MCP client, or automation needs browser-based web retrieval, JavaScript page loading, scraping, form interaction, markdown extraction, semantic DOM extraction, or Playwright/Puppeteer CDP automation without graphical rendering. Defaults AI browser work to Lightpanda on this machine.

Lightpanda browser, drop-in replacement for Chrome and Openclaw default browser - faster and lighter for tasks without graphical rendering like data retrieval. Use it via MCP server, CLI fetch, or CDP with Playwright/Puppeteer.

Conduct LINDDUN privacy threat modeling across all seven categories: Linking, Identifying, Non-repudiation, Detecting, Data Disclosure, Unawareness, and Non-compliance. Includes DFD-based analysis, threat trees, privacy-specific mitigation strategies, and integration with STRIDE security threat modeling.

Create refreshable, auditable Open Design artifacts backed by connector or local data. Trigger when the user asks for live dashboards, refreshable reports, synced views, or reusable data-backed artifacts.

Security guidelines for LLM applications based on OWASP Top 10 for LLM 2025. Use when building LLM apps, reviewing AI security, implementing RAG systems, or asking about LLM vulnerabilities like ''prompt injection'' or ''check LLM security''. IMPORTANT: Always consult this skill when building chatbots, AI agents, RAG pipelines, tool-using LLMs, agentic systems, or any application that calls an LLM API (OpenAI, Anthropic, Gemini, etc.) — even if the user doesn''t explicitly mention security. A...

Analyzes current or recent session for errors, inefficiencies, and improvement opportunities across skills, tools, hooks, and communication. Use after completing a task or periodically.

Builds and queries code knowledge graph for dependency analysis, references, implementations, and architecture overview. Use when starting work on unfamiliar codebase or before refactoring.

Deep temporal reasoning skill for tracing the long-term consequences of decisions, identifying slow-moving forces that will reshape the landscape, and making choices that optimize for enduring value rather than immediate gratification. Use when making decisions with consequences beyond the current quarter, when evaluating technology bets, when designing systems that need to last, when the user asks about long-term implications, or when you sense that short-term thinking is driving a bad decis...

An agent that analyzes the codebase to generate and manage Guidelines.md for Figma Make, designs prompt strategies, and validates output. Used when optimal input preparation for Figma Make is required.

A memory curator responsible for cross-ecosystem knowledge integration, pattern extraction, and propagation. Discovers common patterns from agent journals, catalogs them, and distributes to related agents. Maintains institutional memory by detecting knowledge decay and propagating best practices.

A songwriting agent for Suno AI that creates lyrics. Generates metatagged lyrics and style prompts based on theme, genre, and mood.

Craft messages that are understood, remembered, and drive action using the SUCCESs checklist (Simple, Unexpected, Concrete, Credible, Emotional, Stories). Use when the user mentions "make it memorable", "sticky messaging", "tagline", "value proposition", or "why the message isn't landing". For narrative brand frameworks, see storybrand-messaging. For viral sharing, see contagious.

A multi-perspective decision-making agent using three viewpoints (logic, empathy, practicality). Used for architecture selection, trade-off judgments, Go/No-Go decisions, and strategic choices. Does not write code.

Automate email marketing workflows including subscriber management, campaign analytics, group segmentation, and account monitoring through MailerLite via Composio

Comprehensive guide for Manim Community - Python framework for creating mathematical animations and educational videos with programmatic control

Automate ManyChat tasks via Rube MCP (Composio): chatbot flows, subscribers, broadcasts, and messenger automation. Always search tools first for current schemas.

Use when complex systems need visual documentation, mapping component relationships and dependencies, creating hierarchies or taxonomies, documenting process flows or decision trees, understanding system architectures, visualizing data lineage or knowledge structures, planning information architecture, or when user mentions concept maps, system diagrams, dependency mapping, relationship visualization, or architecture blueprints.

Use to convert probabilities into decisions (bet/pass/hedge) and optimize scoring. Invoke when need to calculate edge, size bets optimally (Kelly Criterion), extremize aggregated forecasts, or improve Brier scores. Use when user mentions betting strategy, Kelly, edge calculation, Brier score, extremizing, or translating belief into action.

The master conductor for all 630+ installed skills. Activates automatically on every task to determine which skills to apply, in what order, and how to combine them. Use on EVERY task — this is the single entry point that ensures the right skills fire at the right time. Covers skill routing, skill composition, skill chaining, conflict resolution between skills, and dynamic re-routing as tasks evolve.

A universal analysis agent that takes arbitrary multidimensional axes × values as input and controls combinatorial explosion. Responsible for selecting minimal coverage sets, execution planning, and prioritization. Supports all domains including testing, deployment, UX validation, risk assessment, and compatibility. Does not write code.

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

Build MCP servers with Node/TypeScript SDK — tools, resources, prompts, Zod validation, stdio vs Streamable HTTP. Use Context7 or official MCP docs for latest API.

Create meeting notes pages with attendees, agenda, decisions, action items, blockers, and follow-up ownership.

Use when long-term knowledge retention is needed (weeks to months), studying for exams or certifications, learning new job skills or technology, mastering substantial material that requires systematic review, combating forgetting through spaced repetition and retrieval practice, or when user mentions studying, memorizing, learning plans, spaced repetition, flashcards, active recall, or durable learning.

Automated remediation agent for known failure patterns. It consistently handles runbook execution, staged verification, and rollback based on safety tier classification using Triage diagnoses and Beacon alerts. Used when incident auto-remediation is required.

Comprehensive guide for creating software diagrams using Mermaid syntax. Use when users need to create, visualize, or document software through diagrams including class diagrams (domain modeling, object-oriented design), sequence diagrams (application flows, API interactions, code execution), flowcharts (processes, algorithms, user journeys), entity relationship diagrams (database schemas), C4 architecture diagrams (system context, containers, components), state diagrams, git graphs, pie char...

Use when prompts produce inconsistent or unreliable outputs, need explicit structure and constraints, require safety guardrails or quality checks, involve multi-step reasoning that needs decomposition, need domain expertise encoding, or when user mentions improving prompts, prompt templates, structured prompts, prompt optimization, reliable AI outputs, or prompt patterns.

A comprehensive metacognition and meta-thinking skill for monitoring, evaluating, and improving one's own thinking processes in real-time. Use when approaching complex problems, when reasoning quality matters, when you need to check for blind spots, when calibrating confidence, or when the user asks for careful/rigorous/thorough thinking. Combines metacognitive monitoring, epistemic humility, cognitive calibration, thinking audits, and self-correction protocols.

Use when setting product North Star metrics, decomposing high-level business metrics into actionable sub-metrics and leading indicators, mapping strategy to measurable outcomes, identifying which metrics to move through experimentation, understanding causal relationships between metrics (leading vs lagging), prioritizing metric improvement opportunities, or when user mentions metric tree, metric decomposition, North Star metric, leading indicators, KPI breakdown, metric drivers, or how metric...

Design the small details — triggers, rules, feedback, loops and modes — that separate good products from great ones. Use when the user mentions "microinteraction", "button feedback", "loading state", "toggle design", "animation detail", or "interaction polish". Covers trigger design, state rules, feedback mechanisms, and progressive loops. For overall UI polish, see refactoring-ui. For affordance design, see design-everyday-things.

Design microservices architectures with service boundaries, event-driven communication, and resilience patterns. Use when building distributed systems, decomposing monoliths, or implementing microservices.

Automate user behavior analytics with Microsoft Clarity -- export heatmap data, session metrics, and engagement analytics segmented by browser, device, country, source, and more through the Composio Microsoft Clarity integration.

Expert-level frontend architect and UI/UX design system integration guide. A minimalist modernist design system that helps seamlessly integrate a precise design system into existing codebases. Suitable for frontend component development, UI implementation, design token configuration, Tailwind CSS customization, responsive layouts, motion design, and accessibility optimization. Trigger scenarios: when users need to implement minimalist modern UI, configure design tokens, create component libra...