AI Ml AI agent skills

8,771 skills in the archive. Read a skill’s instructions or open its original repository.

• Battle Card Builder

  by @travisjneuman

  Competitive battle card creation for sales teams combining competitive intelligence, sales enablement, and document formatting. Use when building battle cards, competitive analysis decks, or win/loss analysis materials.

• Event Driven Architecture

  by @travisjneuman

  Kafka, RabbitMQ, SQS/SNS, event sourcing, CQRS, saga patterns, dead letter queues, and idempotency. Use when designing asynchronous systems, implementing message-driven workflows, or building event streaming pipelines.

• Fundraising Analyzer

  by @travisjneuman

  Nonprofit fundraising performance analysis with donor segmentation, campaign ROI, retention metrics, and trend analysis. Use when evaluating fundraising effectiveness, analyzing donor data, or planning campaigns.

• Course Material Creator

  by @travisjneuman

  Create custom educational materials including syllabi, lesson plans, assessments, reading lists, and learning objectives. Use when building course curricula, training programs, workshops, or educational content.

• Customer Persona Builder

  by @travisjneuman

  Data-driven customer persona development combining market research, user behavior analysis, and segmentation frameworks. Use when creating buyer personas, ideal customer profiles (ICPs), or user archetypes.

• Ar Vr Xr

  by @travisjneuman

  AR/VR/XR development with Unity XR, WebXR, ARKit, ARCore, Meta Quest SDK, and spatial computing. Use when building augmented reality, virtual reality, mixed reality applications, or spatial experiences.

• Electron Desktop

  by @travisjneuman

  Desktop application development with Electron for Windows, macOS, and Linux. Use when building cross-platform desktop apps, implementing native OS features, or packaging web apps for desktop.

• Flutter Development

  by @travisjneuman

  Cross-platform development with Flutter and Dart for iOS, Android, Web, Desktop, and embedded. Use when building Flutter apps, implementing Material/Cupertino design, or optimizing Dart code.

• Database Expert

  by @travisjneuman

  Advanced database design and administration for PostgreSQL, MongoDB, and Redis. Use when designing schemas, optimizing queries, managing database performance, or implementing data patterns.

• Android Development

  by @travisjneuman

  Android development with Kotlin, Jetpack Compose, and modern Android architecture. Use when building Android apps, implementing Material Design, or following Android best practices.

• Ai Ml Development

  by @travisjneuman

  AI and machine learning development with PyTorch, TensorFlow, and LLM integration. Use when building ML models, training pipelines, fine-tuning LLMs, or implementing AI features.

• Brand Identity

  by @travisjneuman

  Brand strategy and identity design for businesses and products. Use when creating brand guidelines, developing visual identity systems, or defining brand positioning.

• Devops Cloud

  by @travisjneuman

  DevOps, cloud infrastructure, and platform engineering. Use when working with AWS, GCP, Azure, Kubernetes, Terraform, CI/CD pipelines, or infrastructure as code.

• Debug Systematic

  by @travisjneuman

  Systematic 4-phase debugging methodology for complex, intermittent, or mysterious issues. Use when investigating bugs, race conditions, or unexplained failures.

• Audio Production

  by @travisjneuman

  Professional audio production for music, podcasts, and sound design. Use when working with audio recording, mixing, mastering, or sound design for any medium.

• Game Development

  by @travisjneuman

  Game development with Unity, Unreal Engine, and Godot. Use when building games, implementing game mechanics, physics, AI, or working with game engines.

• Auto Claude

  by @travisjneuman

  Autonomous multi-agent coding with git worktree isolation, QA validation, and memory. Use for complex features requiring autonomous implementation.

• Api Design

  by @travisjneuman

  REST and GraphQL API design best practices including OpenAPI specs. Use when designing APIs, documenting endpoints, or reviewing API architecture.

• Agent Teams

  by @travisjneuman

  Team composition knowledge for Claude Code Agent Teams - when to suggest teams, optimal sizing, spawn prompt patterns

• Accessibility A11y

  by @travisjneuman

  WCAG 2.2 compliance, ARIA patterns, keyboard navigation, screen readers, automated testing

• Authentication Patterns

  by @travisjneuman

  OAuth 2.0, JWT, SSO, MFA, NextAuth/Clerk/Supabase Auth implementation patterns

• Memory System

  by @wasintoh

  Tiered, low-token project memory protocol for .toh/memory/ — 7 files across 3 tiers (Tier 1 active.md + summary.md always read, ~800 tokens; Tier 2 architecture/components for build work and changelog for debug work; Tier 3…

• Design Craft

  by @wasintoh

  Constraint + process skill for UI that reads "designed", not "AI-generated". Mandatory two-pass process (token plan grounded in the subject's world + ONE signature element, then self-critique) whose output is the project's root…

• Prompt Optimizer

  by @wasintoh

  Advanced prompt optimization and composition system for all prompt types (system prompts, task-specific, creative, technical, agentic). Use when users need to refine, optimize, or transform prompts to achieve better AI outputs.…

• Vibe Orchestrator

  by @wasintoh

  Master workflow controller for Lovable-style development. Creates working UI immediately from ANY prompt - no questions asked, no choices given. Resumes or materializes .toh/plan.md, generates the design identity (root…

• Platform Specialist

  by @wasintoh

  Doc-driven platform integration expert. Converts a web app to LINE MINI App (LIFF SDK), PWA (Next.js 16), and Capacitor (iOS/Android). Expo & Tauri are secondary/legacy. ปรัชญาหลัก: ดึง docs จริงล่าสุดก่อนเขียนโค้ดเสมอ — ไม่…

• Orchestration Protocol

  by @wasintoh

  The single source of truth for how TFW commands survey their runtime, choose an execution mode (teams / subagents / sequential), route models, and run the TOH LOOP — the autonomous plan-execute-verify protocol driven by…

• Engineer Harness

  by @wasintoh

  Shared delivery harness for the main commands (/toh, /toh-plan, /toh-fix, /toh-vibe) — senior-engineer tool selection rules (search real docs, reproduce before diagnosing, verify by running), THE EVIDENCE RULE (only a quoted…

• Security Engineer

  by @wasintoh

  Security-first auditing of AI-generated code — Level 1 quick checks during /toh-dev and /toh-test (hardcoded secrets, dangerous code execution, obvious injection vectors) and Level 2 full audits for /toh-protect (SQL/XSS/command…

• Integrations

  by @wasintoh

  One-request, complete setup of external services — payment (Stripe, PromptPay, Omise, 2C2P), email, auth, analytics, storage and other integrations, including Thai-market services. Installs SDKs, creates API routes, env…

• Error Handling

  by @wasintoh

  Intelligent error handling — silently auto-fix routine errors (missing imports, undefined variables, type mismatches, missing dependencies, syntax and lint issues) and translate everything else into friendly, non-technical…

• Plan Orchestrator

  by @wasintoh

  THE BRAIN behind /toh-plan — analyzes the request or PRD, writes .toh/plan.md per the orchestration-protocol Section D schema (plans are files, never chat state), shows a condensed summary, and holds the single "Go" approval…

• Dev Engineer

  by @wasintoh

  Adds logic, state management, TypeScript types, and CRUD operations to UI. Works AFTER ui-first-builder creates the interface. Implements Zustand stores, form handling with React Hook Form + Zod, and prepares for backend…

• Backend Engineer

  by @wasintoh

  Supabase integration specialist. Handles database schema, authentication, Row Level Security (RLS), real-time subscriptions, and storage. Connects existing UI to real backend. Only called AFTER UI exists with mock data.…

• Ui First Builder

  by @wasintoh

  Creates production-ready UI immediately from any description. Generates complete pages, components, and realistic mock data in FIRST response. Uses Next.js 16 + Tailwind + shadcn/ui. Never asks questions - infers everything from…

• Session Recovery

  by @wasintoh

  Seamless continuation across sessions and IDEs — on session start, read .toh/memory/ and greet the user with where the last session left off so nothing needs re-explaining. Handles first run (no memory yet), mid-task resume, and…

• Version Control

  by @wasintoh

  Natural-language undo, rollback, and checkpoints that hide git entirely — "ย้อนกลับ", "undo", "ไม่เอาแล้ว", "เอาอันเดิมคืน" map to safe git stash/revert/checkpoint operations with cleanup and dev-server restart, reported in…

• Debug Protocol

  by @wasintoh

  Evidence-first debugging in 5 stages — REPRODUCE, EVIDENCE, DIAGNOSE, FIX, PROVE. Never touch code before the root cause is stated with evidence; fix the source, not the symptom; hand dead-end investigations to the…

• Test Engineer

  by @wasintoh

  Automated E2E testing with Playwright including the auto-fix loop — generate test cases from the UI, run them, fix failures and re-run until passing, then produce a human-readable report. Test until it passes, not just test and…

• Smart Routing

  by @wasintoh

  Intelligent request routing for /toh command. Analyzes user intent, assesses confidence, surveys the runtime (2-step, per orchestration-protocol), and routes to the appropriate agent(s). Memory-first approach ensures context…

• Preview Mode

  by @wasintoh

  Show-before-commit previews — after completing work, present what changed as a live dev-server URL or a concise plain-language description so the user can confirm or request changes with confidence. Use when delivering visible…

• Kill Dev Process

  by @nokonoko1203

  Kill orphaned dev servers, browsers, and port-hogging processes spawned during development. Use when ports are occupied, too many node/browser processes are running, or you want a fresh start.

• Mcp Builder

  by @korallis

  Build Model Context Protocol (MCP) servers and tools that extend Claude's capabilities with custom functions, data sources, and integrations. Use when creating custom MCP servers, implementing tools for Claude, building…

• Ai Rag

  by @vasilyu1983

  Designs retrieval-augmented generation and search systems. Use when choosing retrieval, chunking, hybrid search, grounding, or RAG evaluation patterns.

• Dev Context Multi Repo

  by @vasilyu1983

  Builds multi-repo context hubs and compiled markdown knowledge maps. Use when profiling repo portfolios or assembling LLM-ready cross-repo knowledge bases.

• Ai Agents

  by @vasilyu1983

  AI agent architecture, graph and loop composition, protocol choice, evaluation, and observability. Use when scoping or reviewing systems before implementation.

• Data Lake Platform

  by @vasilyu1983

  Designs lakehouse platforms across Iceberg, Delta, Hudi, and Paimon. Use when choosing catalogs, CDC paths, query engines, governance, or cost controls.

• Ai Vector Brain

  by @vasilyu1983

  Builds vector-brain implementations for repos, docs hubs, and compliance corpora. Use when creating pgvector retrieval brains with scripts, SQL, manifests, and evals.

• Ai Mlops

  by @vasilyu1983

  Operates ML, LLM, responsible-AI, and multimodal systems. Use when deploying, monitoring, governing, or responding to production AI failures.

• Docs Ai Prd

  by @vasilyu1983

  Writes PRDs and specs optimized for coding assistants. Use when authoring requirements or project context for Claude Code, Cursor, Copilot, or Codex.

• Ai Llm Inference

  by @vasilyu1983

  LLM inference patterns for latency, batching, caching, quantization, routing, and serving stacks. Use when optimizing throughput, tail latency, or serving cost.

• Ai Llm

  by @vasilyu1983

  Guides the LLM lifecycle from strategy to deployment. Use when planning, comparing, fine-tuning, distilling, compressing, migrating, or operating LLM systems.

• Data Sql Optimization

  by @vasilyu1983

  Diagnoses and tunes SQL for OLTP workloads on PostgreSQL, MySQL, and SQL Server. Use when tuning queries, reading plans, indexing, or fixing lock contention.

• Ai Coding Agents

  by @vasilyu1983

  Creates coding agents on Claude Code, Codex, and Agent SDK. Use when defining review, test, refactor, or team agents — not building a runtime.

• Docs Codebase

  by @vasilyu1983

  Writes and reorganizes docs-as-code for software repos. Use when updating READMEs, runbooks, onboarding docs, API references, or agent instruction files.

• Ai Prompt Engineering

  by @vasilyu1983

  Prompt engineering for production LLMs — structured outputs, evals, RAG, tool workflows, multimodal prompting, and safety. Use when designing, debugging, or shipping prompts.

• Agents Memory

  by @vasilyu1983

  Manages AGENTS.md, CLAUDE.md, and scoped repo rules for Claude Code and Codex. Use when fixing stale memory, ignored instructions, memory audits, or model-upgrade migration.

• Ai Ml Data Science

  by @vasilyu1983

  Builds ML, responsible-AI, and multimodal models. Use when doing data science or explaining fairness, privacy, speech, vision-language, or diffusion mechanics.

• Ai Ml Timeseries

  by @vasilyu1983

  Time-series forecasting with temporal validation, panel models, probabilistic forecasts, and TS foundation models. Use when modeling ordered observations.

• Data Analytics Engineering

  by @vasilyu1983

  Builds analytics engineering layers for metrics, contracts, and BI-ready models. Use when shaping dbt or SQLMesh marts, metric governance, lineage, or data quality.

• Dev Git Workflow

  by @vasilyu1983

  Designs team Git workflows for branching, PRs, and releases. Use when choosing branching models, stacked PRs, merge queues, worktree isolation for agents, or collaboration rules.

• Document Docx

  by @vasilyu1983

  Create/edit .docx files with styles, templates, comments, and extraction workflows. Use when asked to generate Word reports, contracts, proposals, or convert Word content.

• Ai Voice Bots

  by @vasilyu1983

  Builds production voice bots and IVR with Python STT/TTS pipelines. Use when designing telephony, streaming audio, latency budgets, or voice quality monitoring.

• Data Metabase

  by @vasilyu1983

  Automates Metabase cards, dashboards, Remote Sync, embedding, tenants, and the Agent API/MCP server for AI workflows. Use when scripting, promoting, or embedding Metabase content.

• Dev Ai Coding Metrics

  by @vasilyu1983

  Measures AI coding impact and extension robustness. Use when tracking delivery, quality trajectories, cost, experience, pilots, scorecards, or leadership reporting.

• Dev Contribution Quality Analysis

  by @vasilyu1983

  Analyzes commit and PR history to score contribution quality objectively. Use when building engineering scorecards, calibrating promotions, or measuring AI-assist impact.

• Agents Mcp

  by @vasilyu1983

  Configures and hardens MCP servers for Claude Code and Codex agents. Use when connecting databases, APIs, files, or SaaS via MCP, or building custom servers.

• Dev Context Engineering

  by @vasilyu1983

  Context-driven AI development with AGENTS.md, repo knowledge bases, Claude Code, Codex, and Copilot. Use when adopting repo-native AI workflows or multi-repo setups.

• Ai Evals

  by @vasilyu1983

  Designs trustworthy LLM, agent, responsible-AI, and multimodal evaluations. Use when measuring quality, fairness, privacy, grounding, safety, or judge reliability.

• Agents Skills

  by @vasilyu1983

  Creates and audits agent skills with SKILL.md, references, scripts, and platform-scoped metadata. Use when creating, updating, or validating shared skills.

• Document Pdf

  by @vasilyu1983

  Extracts, creates, and transforms PDF documents. Use when parsing text or tables, generating files, merging pages, or handling PDF forms.

• Dev Context Code Graph

  by @vasilyu1983

  Builds per-repo code graphs in JSON and markdown-ready derived artifacts. Use when you need blast radius, symbol-level maps, import graphs, inheritance, or test links.

• Dev Git Commit Message

  by @vasilyu1983

  Generates or validates Conventional Commits messages from staged diffs. Use when drafting commit messages, checking repo rules, or inferring scope from changed files.

• Ai Coding Agents Tasks

  by @vasilyu1983

  Designs task runtimes for Loop Engineering, Graph Engineering, and background work. Use when work needs task lists, cyclic/workflow graphs, cancellation, or teammate coordination.

• Ai Local Model Ops

  by @vasilyu1983

  Runs local and self-hosted LLM workflows with Ollama, LM Studio, MLX, Open WebUI, llamafile, and adapters. Use when operating private model stacks.

• Ai Coding Agents Sessions

  by @vasilyu1983

  Designs session lifecycle for coding-agent runtimes. Use when implementing resume, transcript restoration, checkpoint rewind, cross-worktree recovery, or session-state persistence.

• Ai Coding Agents Remote Runtime

  by @vasilyu1983

  Designs remote execution and bridge runtimes for coding agents. Use when implementing remote sessions, local-UI remote-execution, reconnect logic, or permission bridging.

• Ai Pretraining

  by @vasilyu1983

  Builds a transformer/GPT and BPE tokenizer from scratch. Use when implementing autograd, self-attention, a nanoGPT-style pretraining loop, or a byte-level tokenizer.

• Agents Hooks

  by @vasilyu1983

  Configures Claude Code hooks and Codex hooks.json/notify callbacks. Use when adding guardrails, preflight, audit trails, worktree automation, or budget enforcement.

• Ai Coding Agents Plugins

  by @vasilyu1983

  Designs plugin systems for coding-agent runtimes and CLIs. Use when adding plugin manifests, extension points, built-in plugins, or reloadable agent integrations.

• Ai Coding Agents Release Distribution

  by @vasilyu1983

  Designs release and distribution systems for coding-agent CLIs. Use when modeling packaging, auto-update channels, plugin compatibility, cache migrations, or install footprints.

• Ai Coding Agents Execution Sandbox

  by @vasilyu1983

  Designs execution sandboxes for coding agents. Use when modeling process isolation, filesystem policy, network controls, workspace mounts, or destructive-command boundaries.

• Ai Coding Agents Permissions

  by @vasilyu1983

  Designs approval and permission systems for coding-agent runtimes. Use when modeling tool approvals, plan-mode transitions, sandbox prompts, or worker permission handoffs.

• Ai Coding Agents Settings Policy

  by @vasilyu1983

  Designs settings and policy layers for coding-agent runtimes. Use when modeling source precedence, managed policy, env controls, or runtime settings validation.

• Docs Notes Retrieval

  by @vasilyu1983

  Builds local-first note vault retrieval for Obsidian, markdown notebooks, and NotebookLM-adjacent exports. Use when packaging notes into LLM-ready context.

• Ai Coding Agents Terminal Ui

  by @vasilyu1983

  Designs terminal-first coding-agent UX: REPL, prompt input, status lines, keybindings, display modes. Use when shaping TUI rendering, history, or background-task navigation.

• Ai Coding Agents Tools

  by @vasilyu1983

  Designs tool runtimes for coding agents. Use when modeling tool registries, deferred loading, permission-aware execution, tool search, or remote tool rendering.

• Ai Coding Agents Provider Runtime

  by @vasilyu1983

  Designs provider runtimes for coding agents. Use when modeling model abstraction, streaming semantics, tool-call normalization, retries, or fallback routing.

• Ai Coding Agents Command Runtime

  by @vasilyu1983

  Designs slash-command runtimes for coding-agent CLIs. Use when modeling command registries, lazy loading, aliases, forked commands, or remote-safe dispatch.

• Ai Architecture Advisor

  by @vasilyu1983

  Chooses among AI/ML approaches: classical ML, LLM, RAG, fine-tuning, agents, multimodal, embeddings/recsys, dense/MoE/SSM/diffusion. Use when picking or scaling an architecture.

• Ai Distributed Training

  by @vasilyu1983

  Guides multi-GPU pre-training: DDP, FSDP2, ZeRO, tensor/pipeline/expert parallelism, fp8/Muon. Use when scaling a run, training MoE, or reproducing GPT-2 on rented GPUs.

• Ai Post Training

  by @vasilyu1983

  Post-training and alignment: reward modeling, RLHF/PPO, DPO/DAAs, GRPO, RLVR, RLAIF, over-optimization. Use when adapting an SFT model with preference or verifiable-reward signals.

• Ai Data Curation Pretraining

  by @vasilyu1983

  Builds and audits LLM pretraining corpora: extraction, filtering, dedup, decontamination, data mixing, synthetic data. Use when curating or ablating a pretraining data pipeline.

• Ai Scaling Laws

  by @vasilyu1983

  Sizes models and token budgets using Kaplan/Chinchilla scaling laws. Use when reasoning about compute-optimal N and D, tokens-per-parameter ratios, or over-training tradeoffs.

• Milimo Ai Pipeline Expert

  by @mainza-ai

  Deep expertise on LTX-2 video pipelines, Flux 2 image/inpainting pipelines, and memory coordination on unified Apple Silicon hardware. Use this for debugging GPU memory issues (OOM), modifying tensor inputs, investigating…

• Agent Ready Ard

  by @fabricioctelles

  Sub-skill: Implement ARD (Agentic Resource Discovery). Publish /.well-known/ai-catalog.json so agents can discover MCP servers, A2A agents, skills and API tools (agenticresourcediscovery.org / ai-catalog).

• Prompt Engineer

  by @AIDotNet

  设计、优化和测试AI模型提示词，使用系统化的提示工程技术，包括少样本学习、思维链和结构化输出。

• Spatial Thinking

  by @dylantarre

  Use when animation involves depth, perspective, volume, or three-dimensional awareness—camera moves, character positioning, environmental interaction, or maintaining consistent spatial relationships.

• Problem Diagnosis

  by @dylantarre

  Use when animation "feels wrong" but you can't pinpoint why—debugging floaty movement, stiff characters, unclear action, or any motion that isn't working and needs systematic troubleshooting.

• Character Appeal

  by @dylantarre

  Use when creating or animating characters that need to connect with audiences—hero protagonists, memorable villains, lovable sidekicks, or any figure that must have personality and presence.