AI & ML

oimiragieo Bundle

AI and ML expert covering PyTorch, TensorFlow, Hugging Face, scikit-learn, LLM integration, RAG pipelines, MLOps, and production ML systems

g1joshi Skill

Stable Diffusion image generation models. Use for image AI.

ariffazil Bundle

Use when the user asks how to build with OpenAI products or APIs, asks about Codex itself or choosing Codex surfaces, needs up-to-date official documentation with citations, help choosing the latest model for a use case, latest/current/default-model prompting guidance, or model upgrade and prompt-upgrade guidance; use OpenAI docs MCP tools for non-Codex docs questions, use the Codex manual helper first for broad Codex self-knowledge, and restrict fallback browsing to official OpenAI domains.

ariffazil Bundle

Monitor the model fallback chain. Track latency, billing failures (402), cold-start failures, and auto-pause dead models. USE WHEN: "model health", "check fallback chain", "model latency", "billing alert".

ariffazil Bundle

Unified recursive-improvement protocol across ALL agents in the federation (AAA, Hermes, Kimi, OpenClaw, Claude Code, Codex, OpenCode, Grok). Bridges session-level RSI to federation-wide sync: detects skill drift between agents, propagates fixes back to the canonical AAA catalog, and ensures the federation learns from every session — not just the agent that ran it.

ariffazil Bundle

Perform a read-only, defect-first review of a specified code change and return every actionable finding. Use when another agent delegates review of uncommitted changes, a base-branch diff, a commit, or custom review instructions.

ariffazil Bundle

Make web content maximally extractable by LLMs, Agentic RAG systems, and search indexers.

ariffazil Bundle

Use when initializing any agent, designing governance, or establishing compact operating constitution. Use when initializing any agent, designing governance, or establishing compact operating constitution. Compact operating constitution for every AAA agent. Load before any non-trivial action. Distills 10 Agent Invariants + 12 governance rules + skills audit into portable doctrine. Covers tool classification, evidence/authority separation, degradation dominance, propose-before-execute, and memory atoms.

ariffazil Bundle

Governance layer for image generation that bridges the dimensionality deficit between sparse human prompts and high-dimensional pixel output. USE WHEN: "generate image from text prompt", "T2I dispatch", "diffusion call", "image generation", "vision tool call". Implements the immutable JSON receipt contract (f1_safe, f2_adherence, prompt_density, hallucinated_elements, anchor_required, anchor_suggestion) with hard/soft ΔS gate thresholds (0.20, 0.50) and the Hybrid heuristic-plus-VLM density estimator.

ariffazil Skill

Access thousands of curated AI system prompts, role personas, task templates, and variable substitution templates directly via prompts.chat MCP server (@fkadev/prompts.chat-mcp).

ariffazil Bundle

Use after task completion for lightweight post-task reflection — list key decisions made under uncertainty. Use after task completion for lightweight post-task reflection — list key decisions made under uncertainty. Use after task completion for lightweight post-task reflection — list key decisions made under uncertainty. Lightweight post-task reflection: list key decisions made during work that the agent is uncertain about. Triggered manually by Arif ('/decisions', 'what are you unsure about', 'review your logic') or automatically after major refactors, multi-file changes, or SEAL-grade work. Complements QQQ protocol (governed decisions) with quick uncertainty surfacing.

ariffazil Bundle

MCP + A2A protocol integration — agentic inter-agent communication and task delegation.

oimiragieo Bundle

Comprehensive health check across CC auto-memory and agent-studio memory systems — detects orphans, duplicates, staleness, and threshold violations

coralshades Skill

Runpod CLI to manage your GPU workloads.

coralshades Skill

Self-Healing E2E Testing Workflow for ACM-AI. Runs Playwright tests with autonomous failure recovery, selector healing, API contract validation, and evidence collection. Integrates with agent-browser and chrome-devtools MCP.

ariffazil Bundle

Governed multi-CLI coding fabric. Hermes dispatcher routes intent to specialist workers (qwen / claude / codex / kimi / gh). F13 enforcement via wrapper executables, not prompt-only. Hermes accepts only verifiable artifacts (diff, test result, lint, commit SHA, PR URL). First milestone of arifOS coding-fabric doctrine.

ariffazil Skill

Adds visual understanding to text-only Token Plan models (glm-5, glm-4.7, MiniMax-M2.5, qwen3-max-2026-01-23, qwen3-coder-next, qwen3-coder-plus) by routing image inputs through a vision-capable model. Activates when the user passes an image to a text-only model or asks 'what's in this image'.

ariffazil Skill

TTS engine registry for the arifOS federation. ChatTTS (qualitative conversational), F5-TTS / E2-TTS (zero-shot flow matching), Fish Speech (audio language model), MiniMax speech-2.8-hd (HD commercial), Edge / Mulberry (free fallback), MiMo Token Plan (Xiaomi multimodal subscription). Trade-off matrix, F13 governance, and routing rules. Single source of truth for which engine to use when.

oimiragieo Bundle

Creates specialized AI agents on-demand when no existing agent matches a request. Use when the Router cannot find a suitable agent for a task. Enables self-evolution by generating persistent agents.

oimiragieo Bundle

Research-backed workflow to refresh existing agent prompts/frontmatter with diff-based risk scoring, TDD gates, and ecosystem validation.

oimiragieo Bundle

Perform AI-powered web searches with real-time information using Perplexity models via LiteLLM and OpenRouter. This skill should be used when conducting web searches for current information, finding recent scientific literature, getting grounded answers with source citations, or accessing information beyond the model knowledge cutoff. Provides access to multiple Perplexity models including Sonar Pro, Sonar Pro Search (advanced agentic search), and Sonar Reasoning Pro through a single OpenRouter API key.

boshi-xixixi Bundle

Generate deep links to the Arize UI. Use when the user wants a clickable URL to open or share a specific trace, span, session, dataset, labeling queue, evaluator, or annotation config, or when sharing Arize resources with team members.

boshi-xixixi Bundle

Comprehensive guide for configuring and managing GitHub Dependabot. Use this skill when users ask about creating or optimizing dependabot.yml files, managing Dependabot pull requests, configuring dependency update strategies, setting up grouped updates, monorepo patterns, multi-ecosystem groups, security update configuration, auto-triage rules, or any GitHub Advanced Security (GHAS) supply chain security topic related to Dependabot. For pre-commit dependency vulnerability scanning in AI coding agents via the GitHub MCP Server, this skill references the Advanced Security plugin (`advanced-security@copilot-plugins`). Use this skill when an agent needs to scan dependencies for known vulnerabilities before committing.

boshi-xixixi Bundle

INVOKE THIS SKILL when downloading, exporting, or inspecting Arize traces and spans, or when a user wants to look at what their LLM app is doing using existing trace data, or when an already-instrumented app has a bug or error to investigate. Use for debugging unknown runtime issues, failures, and behavior regressions. Covers exporting traces by ID, spans by ID, sessions by ID, and root-cause investigation with the ax CLI.

boshi-xixixi Bundle

Debug LLM applications using the Phoenix CLI. Fetch traces, analyze errors, structure trace review with open coding and axial coding, inspect datasets, review experiments, query annotation configs, and use the GraphQL API. Use whenever the user is analyzing traces or spans, investigating LLM/agent failures, deciding what to do after instrumenting an app, building failure taxonomies, choosing what evals to write, or asking "what's going wrong", "what kinds of mistakes", or "where do I focus" — even without naming a technique.

oimiragieo Bundle

Semantic search over global agent memory. Use to retrieve previously learned patterns, decisions, gotchas, and workarounds. Prevents stale-context errors across long sessions and multi-agent pipelines.

ariffazil Skill

Mapbox developer API suite, cartographic design, style management, GeoJSON validation/preview, coordinate conversion, and token security via Mapbox DevKit MCP server (mcp-devkit.mapbox.com).

ariffazil Skill

OpenClaw integration for the human-meaning-membrane doctrine — apply the inference protocol when reviewing human-facing code (chatbots, UIs, social features). USE WHEN: "review this chatbot PR", "audit user-facing copy", "check consent logic", "message tone analysis code", "social feature review", "human-interaction code review". NOT for OpenClaw ops/health — use openclaw skill. NOT for token audit — use FORGE-telegram-audit.

ariffazil Bundle

Classify inference work into the stateless FLAME tool lane or the governed constitutional agent lane, with Arif-ratified division of labor (2026-07-24) and L3 Task-Routing doctrine (2026-07-25).

ariffazil Bundle

Pattern for auditing the arifOS kernel when multiple MCP tools share the same skeleton but disagree on identity/verdict/affordance — proven

ariffazil Skill

Source-vs-runtime drift detection + live baseline comparison. Detect drift between federation source and runtime. Reads organ topology from canonical SOT, probes live health endpoints, compares git SHAs, and compares live state against saved baselines across tool manifests, agent cards, skill registries, and runtime-injected files.

ariffazil Skill

Drift detection, skill binding, and federated architecture management. Real-time drift detection across tool manifests, agent cards, skill registries, and runtime-injected files. Discover, bind, and compose skills across all federation organs using orthogonal axes. Design, validate, and manage skills across a multi-agent federation with 3-layer architecture.

oimiragieo Bundle

Production-ready reinforcement learning algorithms (PPO, SAC, DQN, TD3, DDPG, A2C) with scikit-learn-like API. Use for standard RL experiments, quick prototyping, and well-documented algorithm implementations. Best for single-agent RL with Gymnasium environments. For high-performance parallel training, multi-agent systems, or custom vectorized environments, use pufferlib instead.

boshi-xixixi Bundle

当用户需要进行浏览器自动化、网页测试、数据抓取或 UI 自动化测试时使用。此 Skill 支持基于 MCP 工具（Puppeteer/Playwright）的实时交互，以及基于 Python 脚本的复杂自动化流程实现。

boshi-xixixi Bundle

INVOKE THIS SKILL when creating, managing, or querying Arize datasets and examples. Also use when the user needs test data or evaluation examples for their model. Covers dataset CRUD, appending examples, exporting data, and file-based dataset creation using the ax CLI.

boshi-xixixi Bundle

INVOKE THIS SKILL for LLM-as-judge evaluation workflows on Arize: creating/updating evaluators, running evaluations on spans or experiments, tasks, trigger-run, column mapping, and continuous monitoring. Use when the user says: create an evaluator, LLM judge, hallucination/faithfulness/correctness/relevance, run eval, score my spans or experiment, ax tasks, trigger-run, trigger eval, column mapping, continuous monitoring, query filter for evals, evaluator version, or improve an evaluator prompt.