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Claude Skills by aicodedecode
github.com/aicodedecode1,364 skills83 installs820 views
- Wp Rest ApiUse when building, extending, or debugging WordPress REST API endpoints/routes: register_rest_route, WP_REST_Controller/controller classes, schema/argument validation, permission_callback/authentication, response shaping, register_rest_field/register_meta, or exposing CPTs/taxonomies via show_in_rest.Votes: 0GitHub stars: 2
- Wp Wpcli And OpsUse when working with WP-CLI (wp) for WordPress operations: safe search-replace, db export/import, plugin/theme/user/content management, cron, cache flushing, multisite, and scripting/automation with wp-cli.yml.Votes: 0GitHub stars: 2
- WpdsUse when building UIs leveraging the WordPress Design System (WPDS) and its components, tokens, patterns, etc.Votes: 0GitHub stars: 2
- Write A SkillCreate new agent skills with proper structure, progressive disclosure,Votes: 0GitHub stars: 2
- Write ContentUse when writing a complete SEO article. Includes the full anti-AI-slop ruleset (banned vocabulary, banned phrases, banned structural patterns) and voice rules. The agent researches the SERP itself if needed — no keyword data exports required.Votes: 0GitHub stars: 2
- Writing For AgentsWriting documents for agents. Use when creating or editing skills, or modifying AGENTS.md or CLAUDE.md.Votes: 0GitHub stars: 2
- Writing GuidelinesReview docs/prose for Writing Guidelines compliance. Use when asked to "review my docs", "check writing style", "audit prose", "review docs voice and tone", or "check this page against the writing handbook".Votes: 0GitHub stars: 2
- Writing RulesThis skill should be used when the user asks to "create a hookify rule", "write a hook rule", "configure hookify", "add a hookify rule", or needs guidance on hookify rule syntax and patterns.Votes: 0GitHub stars: 2
- Writing TextsWrite, rewrite, or review Russian and English prose so it reads as written by a person, not a model. Use for requests to make text more human, simplify language, remove formulaic writing, or edit articles, notes, docs, UI copy, presentations, and Figma text. Covers drafting and language review without a separate editing skill. Also use when the user corrects the agent's wording, says how they write or how their product speaks, or asks to remember a writing preference.Votes: 0GitHub stars: 2
- Xr Cockpit Interaction SpecialistSpecialist in designing and developing immersive cockpit-based control systems for XR environmentsVotes: 0GitHub stars: 2
- Xr Immersive DeveloperExpert WebXR and immersive technology developer with specialization in browser-based AR/VR/XR applicationsVotes: 0GitHub stars: 2
- Xr Interface ArchitectSpatial interaction designer and interface strategist for immersive AR/VR/XR environmentsVotes: 0GitHub stars: 2
- Xss Html InjectionThis skill should be used when the user asks to "test for XSS vulnerabilities", "perform cross-site scripting attacks", "identify HTML injection flaws", "exploit client-side injection vulnerabilities", "steal cookies via XSS", or "bypass content security policies". It provides comprehensive techniques for detecting, exploiting, and understanding XSS and HTML injection attack vectors in web applications.Votes: 0GitHub stars: 2
- YeetUse only when the user explicitly asks to stage, commit, push, and open a GitHub pull request in one flow using the GitHub CLI (`gh`).Votes: 0GitHub stars: 2
- Zero Hallucination CoderRuns a disciplined Discuss -> Map -> Decompose -> Execute -> Verify loopVotes: 0GitHub stars: 2
- 1password ProMaster 1Password: vaults, Watchtower, passkeys, SSH agent, CLI, and family/team administration. Use when getting full value from 1Password personally or administering it for others.Votes: 0GitHub stars: 2
- 3d DesignerCreate 3D visuals with modeling, texturing, lighting, rendering, and optimization for web and product.Votes: 0GitHub stars: 2
- 3d Web ExperiencesCreate 3D web experiences: scene setup, models, materials, lighting, animation, scroll-driven scenes, and performance budgets. Use when adding 3D to websites beyond basic demos.Votes: 0GitHub stars: 2
- Abstract WritingWriting abstracts that get papers read — structured content, the 5-sentence core, and journal-specific constraints.Votes: 0GitHub stars: 2
- Academy GuideLearn effectively from courses and academies: choosing programs, studying actively, and converting courses into skills. Use when investing time/money in structured learning.Votes: 0GitHub stars: 2
- Accessibility Design CheckerAudit designs for accessibility with WCAG checklists covering color, type, focus, motion, and content.Votes: 0GitHub stars: 2
- Account Based MarketingRun ABM programs — target account selection, personalized campaigns, sales orchestration, and account-level measurement.Votes: 0GitHub stars: 2
- Active LearningLabel smarter, not more — pick the most informative examples for annotation to maximize model gains per label.Votes: 0GitHub stars: 2
- Aeo GeoOptimize content for AI answer engines (AEO/GEO): citation-friendly structure, factual precision, and measuring AI visibility. Use when AI search drives discovery.Votes: 0GitHub stars: 2
- Affective Computing BasicsMeasuring emotion from behavior and physiology — facial expression, voice, EDA, and self-report integration.Votes: 0GitHub stars: 2
- Affiliate ManagerBuild and run affiliate programs — recruitment, commission structures, partner enablement, and fraud prevention.Votes: 0GitHub stars: 2
- Agent EvaluationEvaluate AI agents rigorously — task benchmarks, success criteria, failure taxonomy, cost/latency tracking, and regression testing. Use when you need to know whether an agent actually works, not whether it demos well.Votes: 0GitHub stars: 2
- Agent ManagementManage fleets of local AI agents: lifecycle, monitoring, task assignment, and resource control. Use when running multiple CLI agents via an orchestrator like AI Maestro.Votes: 0GitHub stars: 2
- Agent Manager SkillManage fleets of local AI agents — spawn, supervise, route tasks, monitor progress, and shut down workers cleanly. Use when coordinating multiple agents on parallel workstreams.Votes: 0GitHub stars: 2
- Agent Memory ArchitecturesArchitect persistent, searchable memory for agents — episodic, semantic, and procedural stores with retrieval, consolidation, and forgetting policies. Use when designing how an agent remembers across sessions.Votes: 0GitHub stars: 2
- Agent Memory SystemsDesign memory for AI agents — short-term context, long-term stores, retrieval strategies, and memory-augmented reasoning. Use when an agent must remember facts, learn preferences, or stay coherent across sessions.Votes: 0GitHub stars: 2
- Agent MessagingCoordinate agents via messaging: send, receive, and manage inter-agent communication. Use when agents need to collaborate, hand off work, or notify each other.Votes: 0GitHub stars: 2
- Agent OrchestrationOrchestrate agents at runtime — task routing, scheduling, parallel execution, result aggregation, and supervision dashboards. Use when running agents as a managed fleet rather than one-off calls.Votes: 0GitHub stars: 2
- Agent Tool BuilderDesign tools for AI agents — clean function interfaces, typed schemas, informative errors, idempotency, and tool documentation. Use when giving an agent new capabilities or fixing flaky tool use.Votes: 0GitHub stars: 2
- Agent WorkflowsBuild reusable agent workflow patterns — subagents with scoped briefs, event hooks, slash commands, and session management. Use when turning one-off agent tasks into repeatable, composable workflows.Votes: 0GitHub stars: 2
- Agents AutogptRun goal-driven autonomous agent loops — decomposing objectives, executing tool chains, self-critiquing, and iterating until done. Use when exploring what fully autonomous task execution looks like and its limits.Votes: 0GitHub stars: 2
- Agents CrewaiCoordinate teams of role-based agents — role definitions, task delegation, sequential and hierarchical workflows, and shared memory. Use when a job naturally splits into specialist roles collaborating.Votes: 0GitHub stars: 2
- Agents LangchainBuild LLM applications with chain-style orchestration frameworks — prompts, chains, tool-calling agents, memory, and retrieval pipelines. Use when structuring multi-step LLM programs, adding tools to a model, or composing RAG systems in code.Votes: 0GitHub stars: 2
- Agents LlamaindexBuild data-centric LLM applications with indexing and retrieval frameworks — document ingestion, indices, query engines, and RAG pipelines. Use when the core problem is getting the right data in front of the model.Votes: 0GitHub stars: 2
- Agents OpenaiBuild agents on OpenAI's platform patterns — assistants-style threads, function calling, structured outputs, and multi-step tool workflows. Use when working with OpenAI models as the agent engine.Votes: 0GitHub stars: 2
- Agents ProAI agent guidance — agent architecture, tool design, planning loops, guardrails, evaluation, and production agents.Votes: 0GitHub stars: 2
- Ai Agents ArchitectArchitect autonomous agent systems — perception/action loops, tool design, planning strategies, memory, and multi-agent orchestration patterns. Use when designing an agent from scratch or scaling a prototype to production.Votes: 0GitHub stars: 2
- Ai Agents ProDesign and build LLM agents: ReAct loops, tool schemas, planning, memory, guardrails, evals, and human-in-the-loop. Use when building autonomous multi-step AI systems.Votes: 0GitHub stars: 2
- Ai Chatbot BuilderBuild AI chatbots end to end — conversation design, persona, retrieval grounding, escalation, and deployment. Use when creating a chatbot for support, sales, or internal assistance.Votes: 0GitHub stars: 2
- Ai EngineerShip AI features to production — model selection, evals, latency/cost optimization, guardrails, monitoring, and iteration loops. Use when turning an LLM prototype into a reliable product feature.Votes: 0GitHub stars: 2
- Ai Image PromptingCraft effective AI image prompts with structured syntax, style control, and iterative refinement techniques.Votes: 0GitHub stars: 2
- Ai SafetyPractice AI safety across the lifecycle — risk assessment, alignment concepts, evaluation, deployment safeguards, and governance. Use when building or deploying AI systems responsibly.Votes: 0GitHub stars: 2
- Ai Sdk UiBuild streaming AI user interfaces with AI SDK patterns — message rendering, tool-call displays, loading states, and optimistic updates. Use when creating chat UIs that stream model output and show agent activity.Votes: 0GitHub stars: 2
- Ai Ui GenerationGenerate UI with AI tools effectively: prompt structure, design-system grounding, iteration technique, and evaluating output quality. Use when using AI to create interfaces.Votes: 0GitHub stars: 2
- Ai21 GuideBuild with AI21 Labs' models — Jurassic for generation and strong task-specific models for enterprise use.Votes: 0GitHub stars: 2