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Found 3,448 Skills
Analyze repository structure and generate or update standardized AGENTS.md files that serve as contributor guides for AI agents. Supports both single-repo and monorepo structures. Measures LOC to determine character limits and produces structured documents covering overview, folder structure, patterns, conventions, and working agreements. Update mode refreshes only the standard sections while preserving user-defined custom sections. Use when setting up a new repository, onboarding AI agents to an existing codebase, updating an existing AGENTS.md, or when the user mentions AGENTS.md.
Wrap an existing Python agent as an Agent Stack service using agentstack-sdk server wrapper, without changing business logic.
Operate and evolve agent-memory-workbench with replay-first memory, minimal JSON edits, and a strict two-branch policy (normal + human-verification).
Dispatch code-reviewer agent for two-stage review. Use after completing implementation tasks.
Automates browser interactions using AgentGo's distributed cloud browser cluster via playwright@1.51.0. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information — running on AgentGo's remote cloud browsers instead of a local browser.
Create and maintain an Obsidian-style graph memory bank in a code repository: small atomic Markdown nodes with YAML frontmatter, cross-links, explicit backlinks, and release/entity-driven coverage for fast AI-agent context retrieval. Use when asked to build/upgrade a 'memory bank', 'graph memory', 'obsidian docs', 'суперсвязанную графовую документацию', or when you need structured docs under docs/ that let an AI agent pull minimal but precise context.
Guidelines to create/update a new mode for PostHog AI agent. Modes are a way to limit what tools, prompts, and prompt injections are applied and under what conditions. Achieve better results using your plan mode.
Use when users say "create a skill", "make a new skill", "build a skill", "skill for X", "package this as a skill", or when refactoring/updating/auditing existing skills that extend agent capabilities with specialized knowledge, workflows, or tool integrations.
A comprehensive Git agent skill combining strategic workflows, strict conventional commit standards, and safe execution protocols. Acts as a senior engineer to guide users through atomic, verifiable, and standardized git operations.
Use when an existing agent needs Prefactor resources created via the Prefactor CLI before SDK instrumentation is added.
Generate production-ready REVIEW.md and AGENTS.md files for Devin Review's AI code review system. Use this skill whenever the user mentions Devin Review, REVIEW.md, Devin code review setup, PR review instructions for Devin, AI code review configuration for Devin, or wants to create instruction files that Devin's Bug Catcher uses. Also trigger when someone says "set up Devin review", "configure Devin for our repo", "create review rules for Devin", or asks about REVIEW.md / AGENTS.md — even if they don't say "Devin" explicitly but describe wanting AI-powered PR review instructions that work with Devin's auto-review or Bug Catcher.
Use when building a custom provider integration on top of @prefactor/core so your app can instrument agent, llm, and tool workflows without relying on a prebuilt adapter package.