LLM Mart Basic

Statically review Vue Router navigation guards, redirect flows, and template bindings for client-side guards used as the sole authorization boundary, open redirects via route.query.redirect/returnUrl, javascript:/data: scheme injection through dynamic :to/:href bindings, route pa

Statically review Vue 3 SSR entry points and templates for cross-request state pollution (module-scope reactive state, non-per-request app/store creation) and injection via unsanitized v-html or unvalidated dynamic href/src bindings, grounded in Vue's own SSR and security-best-pr

Statically review Pinia and legacy Vuex state stores for sensitive data persisted to localStorage/sessionStorage without scoping, untrusted server-payload hydration (window.__pinia/__INITIAL_STATE__) with un-escaped state serialization, SSR store-singleton cross-request pollution

Audit frontend markup, components, and design-system primitives against WCAG 2.2 Level A/AA success criteria and ARIA APG interaction patterns, separating automated-detectable violations from manual-verification-required items and flagging legal exposure, with reference material

Design and build AI-powered applications on AlloyDB for PostgreSQL using AlloyDB AI — covering vector search, hybrid search (vector + full-text), AI SQL functions (ai_generate, ai_classify, ai_score, ai_embed), model endpoint management, and the AlloyDB Omni edge runtime. Prefer

Operate AlloyDB clusters and Cloud SQL instances — HA configuration, read replicas, connection pooling, maintenance windows, backup strategy, and performance diagnostics.

Design and operate Anthos / GKE Enterprise fleet management, Config Management (GitOps with Policy Controller), multi-cloud Kubernetes across GCP, AWS, and Azure.

Design and operate Apigee X API proxies — rate limiting, OAuth/JWT security policies, quota plans, developer portal setup, and API product management.

Analyze BigQuery slot reservation sizing, BI Engine acceleration, query cost estimation, dataset governance (expiration, access controls), and partitioning/clustering optimization to reduce on-demand scan costs.

Review GCP Certificate Manager and classic Google-managed TLS certificates — certificate map configuration, DNS authorization, CAA record validation, certificate rotation automation, wildcard vs SAN design, and expiry monitoring.

Pre-change blast radius analysis for GCP — cross-project resource dependency mapping, org policy cascade effects, Shared VPC peering impact, Service Account impersonation chain analysis, and safe change sequencing.

Advise on Google Cloud authentication and authorization patterns — covering Application Default Credentials (ADC), service account best practices, Workload Identity Federation (for GKE pods and external workloads), human user auth (gcloud, IAP, Identity Platform), service-to-serv

Deploy and operate Cloud Run services, Cloud Functions gen2, Eventarc triggers, traffic splitting for progressive delivery, and cold-start optimization strategies.

Build and operate CI/CD pipelines using Cloud Build, Cloud Deploy delivery pipelines, Artifact Registry, SLSA provenance generation, and release gating with approval workflows.

Configure Assured Workloads for regulated workloads (FedRAMP High/Moderate, HIPAA, PCI-DSS, ITAR, IL4/IL5), audit controls implementation, and gather compliance evidence using Security Command Center and Asset Inventory.

Operate GCE instances, manage Managed Instance Groups (MIGs), configure OS patch management via VM Manager, design preemptible/spot VM strategies, and manage startup/shutdown scripts.

Convert an arXiv paper to Markdown for reading or implementation reference. Use when asked to convert, fetch, or create documentation for an arXiv paper by its ID, or when a paper with a known arXiv ID needs to be read or referenced. Fetches the LaTeX source when available (plus

Look up arXiv paper metadata via the arXiv API. Use when you need to get a journal DOI from an arXiv ID (for OpenAlex integration), or find an arXiv ID from a title/keyword search (for arxiv-doc-builder). Requires the `arxiv` Python package.

Perform triangulated cognitive research combining SQLite memory, GitHub 10k+ stars patterns, and ToT DAG benchmarking before critical architectural decisions. Automatically triggers subagent research escalation when confidence is low (<0.70). Keywords: research, benchmark, github

Core Kilo-Kit skill enforcing Hard-Gate and Iron Law principles. Ensures AI agents scan the system and codebase before proposing solutions. Keywords: hard-gate, iron-law, evidence, scan, verify, system-check, codebase

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.