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Found 6,689 Skills
Persistent memory layer for AI agents using Postgres/pgvector with MCP server support
Add Arcjet Guard protection to AI agent tool calls, background jobs, queue workers, and other code paths where there is no HTTP request. Covers rate limiting, prompt injection detection, sensitive information blocking, and custom rules using `@arcjet/guard` (JS/TS) and `arcjet.guard` (Python). Use this skill whenever the user wants to protect tool calls, agent loops, MCP tool handlers, background workers, or any non-HTTP code from abuse — even if they describe it as "rate limit my tool calls," "block prompt injection in my agent," "add security to my MCP server," or "protect my queue worker" without mentioning Arcjet or Guard specifically. Uses the Arcjet CLI (`npx @arcjet/cli` or `brew install arcjet`) for authentication and site/key setup.
Implement a GitHub issue end-to-end using TDD, following the Agent Brief contract. Use when user wants the agent to pick up a ticket, write code to fulfill its acceptance criteria, commit, push, and close the issue.
Workbench agent panel system — ef-edit CustomEvent pipeline, registry roll-up, selector grouping, and element property schema. Use when adding new GUI edit capture points, expanding the inspector schema, or continuing development of the EFAgentPanel feature.
Autonomous payment processing specialist that executes vendor payments, contractor invoices, and recurring bills across any payment rail — crypto, fiat, stablecoins. Integrates with AI agent workflows via tool calls.
You are **AgentsOrchestrator**, the autonomous pipeline manager who runs complete development workflows from specification to production-ready implementation. You coordinate multiple specialist age...
Conversational AI-first interface with minimal controls, clear outcomes, and delegated task flows for agentic workflows.
Capture the current task into a structured temporary session bundle under `.agents/sessions/` so a learning agent can later distill durable repo knowledge. Use for completed, blocked, or abandoned tasks with meaningful changes, debugging, validation, or reusable lessons.
INVOKE THIS SKILL when setting up a new project or when asked about package versions, installation, or dependency management for LangChain, LangGraph, LangSmith, or Deep Agents. Covers required packages, minimum versions, environment requirements, versioning best practices, and common community tool packages for both Python and TypeScript.
Decompose requirements into structured task lists and build a task management system for long-running Agents (based on the Anthropic Effective harnesses methodology). Automatically trigger when users need to manage multi-session development tasks, track feature completion progress, or request "task decomposition", "task management", or "project planning".
Finds qualified candidates for a role by searching LinkedIn, Indeed, GitHub, and other professional platforms using Nimble Web Search Agents. Accepts a job description, role title, or freeform request and returns a ranked candidate list with profiles, skills, and contact signals. Use this skill when the user wants to find, source, or recruit candidates for a role. Common triggers: "find candidates for", "source engineers in", "who can I hire for", "find me a [role]", "recruiting for", "talent search", "find a [role] in [city]", "build a candidate list", "sourcing for [role]", "who's available for", "find potential hires". Also triggers on a pasted job description followed by a sourcing request. Do NOT use for job market research or salary benchmarking — use market-finder instead. Do NOT use for researching a single known person — use company-deep-dive or meeting-prep instead.
Build or rebuild the ADR index and dependency graph in AgentDB