Agent Building skills

Browse reusable Agent Skills, each with a clear purpose and practical guidance.

frontmcp-channels

Use when pushing real-time notifications or events into Claude Code (or another MCP client) sessions, or building two-way chat bridges. Covers channel source types: incoming webhooks (such as GitHub), app error events, agent-completion and job-completion alerts, service connectors, file watchers, and replay buffers; plus two-way conversational bridges connecting WhatsApp, Telegram, Slack, and Discord to a Claude Code session. Triggers: push notifications, real-time alerts, webhook channel, chat bridge, WhatsApp / Telegram / Slack / Discord, agent completion alert, job status notification, error forwarding, server-to-client messaging. The skill for CHANNELS and NOTIFICATIONS.

145 repo starsObserved in 1 repos
Agent Building

frontmcp-config

Use when configuring a FrontMCP server through frontmcp.config or the @FrontMcp options. Covers auth modes (public, transparent, local, remote), OAuth plus credential vault and secureStore, CORS, HTTP port / entry-path prefix / unix socket, security headers (CSP, HSTS, X-Frame-Options, X-Content-Type-Options), rate limiting / throttling / concurrency / timeout / IP filtering (GuardConfig), session storage (Redis, Vercel KV), client transport protocols (SSE, Streamable HTTP, stateless, protocol presets), elicitation, multi-target build config, and skillsConfig (HTTP catalog, caching, audit log, instruction injection). Triggers: configure auth, set up CORS, add rate limiting, throttle requests, manage sessions, choose transport, set HTTP options, configure JWT or OAuth. The skill for server CONFIGURATION.

145 repo starsObserved in 1 repos
Agent Building

frontmcp-development

Use when building any FrontMCP server component other than a tool (for tools, use create-tool). Covers @Resource static resources and parameterized URI templates; @Prompt reusable prompts (RAG, multi-turn); @Provider singleton dependency-injection providers (database pools, API clients); @Agent autonomous LLM agents (Anthropic, OpenAI) and swarms; @Job background jobs (retry, progress, permissions) and @Workflow DAG pipelines; framework adapters and the OpenAPI adapter (turn OpenAPI 3.x specs into MCP tools with auth, polling, transforms); plugins, plugin lifecycle hooks (before / after / around / stage), and the official plugins; instruction-only skills and skills that reference tools; and the hierarchical decorator system from @FrontMcp down to @App. Triggers: create a resource, build a prompt, write a provider, add an agent, job, workflow, plugin, adapter, or OpenAPI integration.

145 repo starsObserved in 1 repos
Agent Building

frontmcp-extensibility

Use when extending FrontMCP beyond the core SDK by integrating external npm packages, libraries, or third-party services into providers and tools. Covers VectoriaDB for in-memory semantic and vector search (ML-based embeddings or TF-IDF keyword engines, with persistence) and the tamper-evident, hash-chained skill audit log (pluggable signer and store, with chain verification). Triggers: add semantic search, vector search, embeddings, similarity search, recommendations, ML features, audit logging, or integrate an external library, database, or API beyond the built-in SDK.

145 repo starsObserved in 1 repos
Agent Building

frontmcp-guides

Tutorials, end-to-end walkthroughs, and complete reference projects for FrontMCP. Use when you want a getting-started guide, a full worked example, or to learn best practices by following a step-by-step build rather than a single API reference. Includes a beginner weather-API server (tool plus static resource, Zod schemas, E2E tests), an authenticated task manager (CRUD tools, Redis storage, OAuth, Vercel deploy, authenticated E2E tests), and a multi-app knowledge base (vector search, semantic resources, an AI research agent, audit logging). Triggers: tutorial, walkthrough, how do I build, getting started, end-to-end example, sample project, learn FrontMCP, full app example.

145 repo starsObserved in 1 repos
Agent Building

frontmcp-setup

Use when starting, scaffolding, or organizing a FrontMCP project. Covers creating a new project (CLI scaffold or manual) for Node, Vercel, and other targets; standalone versus Nx-monorepo layout, naming conventions, generators, and dependency rules; composing multiple @App classes, ESM packages, and remote MCP servers into one server; provisioning session and storage backends (Redis, Vercel KV, SQLite with WAL and optional encryption); generating deployment-target-aware README files; and searching, installing, and managing the FrontMCP skill catalog for AI agents (Claude Code, Codex). Triggers: create a new project, how do I start, scaffold, project layout, folder structure, Nx monorepo, add Redis, set up SQLite or a database, compose apps, create a new app, manage skills.

145 repo starsObserved in 1 repos
Agent Building

mnemo-cortex

Installs and wires Mnemo Cortex (local-first persistent memory) into OpenClaw and other MCP-capable agents. Use for cross-session recall, decision history, or multi-agent shared memory.

145 repo starsObserved in 1 repos
Agent Building

modal-training

Train or fine-tune models on Modal cloud GPUs (LoRA SFT, full SFT, data prep, eval) with strict leave-no-trace lifecycle. Use when an experiment needs GPU training, fine-tuning, or model evaluation that exceeds local Docker capacity.

145 repo starsObserved in 1 repos
Agent Building

orchestrate-ready-issues

Sequentially orchestrate GitHub issues labeled ready-for-agent through the Bible Strong harness. Use when the user asks to run, drain, process, or coordinate ready-for-agent issues, or asks for an agent orchestrator for issue-to-PR work.

145 repo starsObserved in 1 repos
Agent Building

orchestrations

Pick and run a multi-phase workflow that chains foundational task skills (`git-wrapup`, `release-and-publish`, `maintenance`, `field-test`, `setup`, etc.) end-to-end. Routes user intent to a workflow file under `workflows/` — greenfield builds, maintenance + release, field-test + fix, or known-work + release. Single source for the universal rules (no commits without authorization, no destructive git, no marketing language), the orchestrator posture (own the goal, ground sub-agents in primary sources, verify against the goal), and the sub-agent strategy (orient block, parallel fanout, isolation, normalization) that apply across every workflow. Sub-agents are an optional capability — workflows run linearly when fanout isn't available.

145 repo starsObserved in 1 repos
Agent Building