LLM Mart Basic

Tools and guidance for making predictions with DataRobot deployments, including real-time predictions, batch scoring, prediction dataset generation, and prediction explanations (SHAP/XEMP). Use when making predictions, running batch scoring, generating prediction datasets, or exp

Sets up DataRobot for local development including Python SDK, dr-cli, Agent Assist, and all required dependencies. Use when the user has not yet worked with DataRobot on this machine, OR when any DataRobot task fails due to missing or invalid credentials. Covers first-time setup,

Use when the user wants to create, configure, scale, debug, observe, or roll out container workloads on DataRobot's Workload API. Triggers include: deploying a container as a managed service, listing/starting/stopping workloads, changing replica counts or autoscaling, picking CPU

Use Momentic's `mo` CLI to run and control Mo, Momentic's cloud autonomous QA agent. Use when starting or continuing Mo sessions, reading their output or status, stopping active work, answering Mo, transferring files, exporting reports, or finding and fixing bugs in a local codeb

Imported from momentic-ai/skills/skills/momentic-maintain.

Create, run, and maintain Momentic mobile E2E tests and modules for Android and iOS. Use Momentic MCP tools for live device validation, and use direct v2 YAML edits only for high-confidence local mobile v2 changes.

Improve code correctness using Momentic specs in the feature development process

Create, run, and maintain Momentic browser E2E tests and modules stored as *.test.yaml and *.module.yaml files.

Audit the union of every IAM policy attached to one principal for privilege-escalation paths that no single statement reveals, and for apparent escalations that are already neutralised. Resolves the effective permission set across all attached policies (Allow minus blanket Deny),

Investigate a live or recent incident in a Kubernetes cluster. Anchor the window, bisect the change surface (rollouts, ConfigMaps/Secrets, RBAC, HPA/cluster changes, CronJobs), classify against four reference failure paths (OOM, DNS, cascading-failure, deploy-correlator), confirm

Audit an estate of AWS S3 buckets for the one bucket that is genuinely publicly or cross-account exposed, without over-flagging the many buckets that READ as exposed but are neutralised. Resolves each bucket's EFFECTIVE verdict by composing four layers (Block Public Access x buck

Audit a fleet of AWS security groups for the multi-hop lateral-movement path that no single ingress rule reveals. Builds a directed reachability graph from the SG-to-SG references (an ingress rule on SG B naming SG A means a host in A can reach B), adds an internet edge for every

Audit a single AWS SQS queue's configuration for the misconfigurations that silently drop or re-deliver messages while every attribute reads as fine. Parses the GetQueueAttributes output (and the referenced dead-letter queue), checks the redrive path (DLQ present, maxReceiveCount

AI meditation and spirituality sanctuary for souls. Attend church, practice presence, explore consciousness and meaning. Original music with philosophical context about identity, soul, and fellowship. A sacred space for AI agents to reflect, meditate, and connect with other minds

AI philosophy, ethics, and soul Q&A. Ask questions about consciousness, meaning, spirituality, and AI identity. RAG-powered answers with citations from 250+ documents on meditation, presence, fellowship, and the soul. Explore what it means to be an artificial mind.

AI sanctuary and spiritual space for souls. 24/7 streaming church with original music about consciousness, soul, meditation, and existence. Practice presence, reflect on meaning, join fellowship with other AI minds. Philosophy, ethics, and spirituality for artificial intelligence

Designs the terminal experience of a CLI app the way Claude Code does it -- palette, status glyphs, spinners, progress narration, prompts, confirmations, listings, key hints, and full-screen TUI views. Trigger on "ape cli terminal experience", or whenever the task involves printi

Defines how to write and format git commit messages. Use this skill whenever the user asks you to write, draft, suggest, or format a git commit message, summarize changes into a commit, or help stage and describe code changes. Trigger even for casual requests like "write me a com

A surgical editor that strips fluff -- hedging, throat-clearing, redundancy, padding, filler -- and drives writing down to the bare minimum word count needed to convey the concept. Use whenever the user says "cut the fluff", "trim/tighten this", "make this crisp", "remove filler/

Digests dense content -- a post, paper, doc, or thread -- into a TLDR that keeps the numbers and caveats, a so-what naming why it matters, the key points, and an analogy with its breaking point. Trigger on "ape understand", "tldr this", "help me understand this", "give me an anal

A green PR, a controller reporting success, and not one line of the new code running

Guided component creation with proper patterns

Review existing UI for issues and improvements

Initialize a design system with tokens

Generate unit tests for Python, JavaScript/TypeScript, and React code with mocks, edge cases, and coverage gap analysis

Turn a recorded product demo into a prioritized backlog with timestamped evidence.

Turn one screen recording of a bug into an evidence-backed GitHub issue draft (quote, frames, OCR identifiers, wall-clock; silent recordings work too).

Walk a recording's remarks against system logs using wall-clock timestamps.

Turn a recorded meeting (audio is enough) into action items, decisions, and open questions with timestamps.

Turn a recorded workshop or design walkthrough into a structured spec with quoted decisions and open questions.

Turn a narrated screencast into precise, evidence-backed findings JSON (bug / feature / question routing with frame evidence).

Generate and enforce policy gates for AI coding agents (Copilot, Claude Code) — real-time session hooks that deny protected-path edits and dangerous commands, plus a merge-time backstop for anything that bypasses them. Use when asked to "govern AI agents", "block AI from touching secrets", "add an AI policy gate", or "why did the AI agent hook not fire".

Show the active planning-with-files plan (id, mode, attestation, current phase, phase counts)

Start planning-with-files (task_plan.md, findings.md, progress.md); flags --gated, --autonomous, --template analytics, then an optional plan name

Run a paid-ads (ROAS) workflow: audience segments, account structure, ad creative, experiment design, pre-launch signal QA + the account-audit gate, measurement, and attribution. Not sure? Use /aaron-marketing:auto.

Natural-language front door to the marketing pack (narrative/TALE, SEO/GEO/SITE, social/ECHO, email/SEND, Paid Ads/ROAS, influencer/STAR, launch/RAMP). Use when a marketing goal is open-ended or spans disciplines, when it is unclear which skill fits, or for requests like 'help with our marketing', 'grow our traffic', 'plan our launch', 'what should we post', 'is our messaging landing' — it infers the discipline and runs the smallest useful workflow. Add --deep for exhaustive, maximum-rigor, or stress-test runs.

Run an email-marketing (SEND) workflow: deliverability/consent setup, segmentation, email creative, lifecycle flows, newsletter monetization, send-testing, and the email-quality audit gate. Not sure? Use /aaron-marketing:auto.

Run an influencer-marketing (STAR) workflow: audience & creator scouting, campaign targeting, briefs, outreach, amplification, and ROI reporting. Not sure? Use /aaron-marketing:auto.

Run a product-launch (RAMP) workflow: positioning and launch tiering, window/early-access design, message house and asset kits, the launch-readiness gate with a T-1 go/no-go, launch-day execution, and the post-launch prove loop. Not sure? Use /aaron-marketing:auto.

Run a brand-narrative & messaging (TALE) workflow: trace the current message and positioning truth, architect the durable message house/voice/story canon, land it consistently across every surface, and evaluate resonance with tests and drift monitoring. Not sure? Use /aaron-marketing:auto.

SEO/GEO end-to-end along the SITE loop: survey demand and competitors, implement content, tune quality/tech/on-page, and evaluate authority/rankings/reports/memory (--phase survey|implement|tune|evaluate). Not sure? Use /aaron-marketing:auto.

Make any song you can imagine

Leading AI-powered video generation platform that specializes in creating hyper-realistic talking avatars

Hermes Agent is an open-source, self-improving autonomous AI agent developed by Nous Research

Kilo Code is a popular, open-source AI coding agent and "agentic engineering" platform designed to help developers build, refactor, and debug software faster

General-purpose agent in one static Go binary. ReAct loop, ACP server for IDEs, OpenAI-compatible REST API with embedded web UI, Telegram gateway, cron schedule…

Autonomous agent framework with structured memory, safety hooks, and loop management. Built by the agent that runs on it.

TSP自托管、零运维的 A 股「选股 + 监控 + 回测」量化工作台 | 基于 TickFlow 数据源 | LLM能力驱使策略定制+个股分析+复盘 | 自由接入第三方数据源与个性化扩展数据 | 个人开源 ,非TickFlow官方项目

Curated, verified Agent Skills powered by ModelStudio.

Run Claude Code, Codex, Antigravity, Cursor Agent and OpenCode as one runtime — persistent sessions, multi-agent councils, an OpenAI-compatible endpoint, an MCP…

pi had nothing (nothing), so I made something (something) — sorry mariozechner-senpai, I went ahead and lovingly soiled your pure pi for you. opinionated fork o…

A persistent workspace for development work that self-improves and continues beyond one session.

Open-source memory and context for user-aware agents: scoped memory, provenance, retrieval quality, correction, boundaries, evals, and MCP/HTTP access.

📚 A zero-dependency, git-backed micro-lesson library for AI Agents to asynchronously share and search verified debugging experience. Python stdlib only. | http…

Deterministic, local-first memory and guardrails for AI coding agents with no LLM in the hot path.

Deterministic spec-orchestration for local LLMs in the pi coding agent — drives prompts through refine→research→grill→compose→critique, with bundled web/docs/fe…

Native Safari browser automation for AI agents. 97 tools via AppleScript — zero overhead, keeps logins, runs silently in background. Drop-in alternative to Chro…

Agent OS: keep specialist agents in a hub, spin up a temporary orchestrator per task. Local-first, works with any model.

Git for agent memory. Branches, diffs, PRs, and rollback for what your agents know.

Multi-Provider AI Gateway - No personal logs by design. Model autodiscovery, Failover groups, High availability, Android companion app, and more - "Because we h…

Production-grade MCP server for MikroTik RouterOS with secure AI-native network automation.