Agents

Agents d’IA i automatització

Skills: 1297–1320 de 5701
dmccreary

chapter-content-generator

dmccreary

This skill generates comprehensive chapter content for intelligent textbooks after the book-chapter-generator skill has created the chapter structure. Use this skill when a chapter index.md file exists with title, summary, and concept list, and detailed educational content needs to be generated at the appropriate reading level with rich non-text elements including diagrams, infographics, and MicroSims. (project, gitignored)

Agents 108 fa 8 mesos
fusengine

sniper-check

fusengine

Use when validating code quality after modifications. Runs sniper agent in isolated forked context for clean, fast validation.

Agents 34 fa 8 mesos
harperreed

ios-debugger-agent

harperreed

Use XcodeBuildMCP to build, run, launch, and debug the current iOS project on a booted simulator. Trigger when asked to run an iOS app, interact with the simulator UI, inspect on-screen state, capture logs/console output, or diagnose runtime behavior using XcodeBuildMCP tools.

Agents 336 fa 9 mesos
harperreed

fleet-manager

harperreed

Use when the user asks to check on agents, manage their fleet, babysit panes, see what needs attention, get a status report, or when they say "check on my agents", "what needs action", "fleet status", "babysit", "brief me". Requires the control MCP server to be registered and the daemon running.

Agents 336 fa 5 mesos
fusengine

agent-creator

fusengine

Use when creating expert agents. Generates agent.md with frontmatter, hooks, required sections, and skill references.

Agents 34 fa 8 mesos
takeokunn

Parallelization Patterns

takeokunn

Patterns for parallel execution strategies, timeout configuration, retry policies, and consensus mechanisms.

Agents 74 fa 8 mesos
aj-geddes

creative-intelligence

aj-geddes

Facilitates structured brainstorming sessions, conducts comprehensive research, and generates creative solutions using proven frameworks. Trigger keywords - brainstorm, ideate, research, SCAMPER, SWOT, mind map, creative, explore ideas, market research, competitive analysis, innovation, problem solving, feature generation

Àmbit acadèmic 492 fa 8 mesos
fusengine

laravel-queues

fusengine

Implement background jobs with queues, workers, batches, chains, middleware, and failure handling. Use when processing async tasks or handling long-running operations.

Agents 34 fa 8 mesos
SergeiNikolenko

trajectory-review

SergeiNikolenko

"Use when reviewing molecular trajectories, frame metrics, representative structures, or trajectory result bundles in Burette."

Agents 70 fa 3 mesos
SergeiNikolenko

molstar-scene

SergeiNikolenko

"Use when operating an active Mol* scene through allowlisted Burette actions and typed observe/action results."

Agents 70 fa 2 mesos
avivsinai

amq-cli

avivsinai

Coordinate agents via the AMQ CLI for file-based inter-agent messaging. Use when you need to send messages to another agent (Claude/Codex), receive messages from partner agents, set up co-op mode between Claude Code and Codex CLI, or manage agent-to-agent communication in any multi-agent workflow. Triggers include "message codex", "talk to claude", "collaborate with partner agent", "AMQ", "inter-agent messaging", or "agent coordination".

Agents 88 fa 8 mesos
trailofbits

openai-screenshot

trailofbits

Use when the user explicitly asks for a desktop or system screenshot (full screen, specific

Agents 520 fa 8 mesos
joelhooks

add-skill

joelhooks

Create new joelclaw skills with the idiomatic process — repo-canonical, symlinked, git-tracked, slogged.

Agents 64 fa 8 mesos
youdotcom-oss

ydc-openai-agent-sdk-integration

youdotcom-oss

Integrate OpenAI Agents SDK with You.com MCP server - Hosted and Streamable HTTP support for Python and TypeScript. - MANDATORY TRIGGERS: OpenAI Agents SDK, OpenAI agents, openai-agents, @openai/agents, integrating OpenAI with MCP - Use when: developer mentions OpenAI Agents SDK, needs MCP integration with OpenAI agents

Agents 94 fa 8 mesos
krafton-ai

confluence-deep-reader

krafton-ai

Read a Confluence page and recursively explore its child pages up to 3 levels deep. Use when users want to comprehensively read a Confluence page tree, understand hierarchical documentation, or analyze content across parent and child pages.

Agents 933 fa 8 mesos
davidgasquez

agent-browser

davidgasquez

Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.

Agents 62 fa 7 mesos
mlflow

agent-evaluation

mlflow

Use this when you need to EVALUATE OR IMPROVE or OPTIMIZE an existing LLM agent's output quality - including improving tool selection accuracy, answer quality, reducing costs, or fixing issues where the agent gives wrong/incomplete responses. Evaluates agents systematically using MLflow evaluation with datasets, scorers, and tracing. Covers end-to-end evaluation workflow or individual components (tracing setup, dataset creation, scorer definition, evaluation execution).

Agents 82 fa 8 mesos
mlflow

searching-mlflow-docs

mlflow

Searches and retrieves MLflow documentation from the official docs site. Use when the user asks about MLflow features, APIs, integrations (LangGraph, LangChain, OpenAI, etc.), tracing, tracking, or requests to look up MLflow documentation. Triggers on "how do I use MLflow with X", "find MLflow docs for Y", "MLflow API for Z".

Agents 82 fa 9 mesos
jovanSAPFIONEER

Network-AI

jovanSAPFIONEER

Multi-agent swarm orchestration for complex workflows. Coordinates multiple agents, decomposes tasks, manages shared state via a local blackboard file, and enforces permission walls before sensitive operations. All execution is local and sandboxed.

Agents 79 fa 8 mesos
modu-ai

moai-foundation-core

modu-ai

Provides MoAI-ADK foundational principles including TRUST 5 quality framework, SPEC-First DDD methodology, delegation patterns, progressive disclosure, and agent catalog reference. Use when referencing TRUST 5 gates, SPEC workflow, EARS format, DDD methodology, agent delegation patterns, or MoAI orchestration rules. Do NOT use for context and token management (use moai-foundation-context instead) or strategic analysis (use moai-foundation-philosopher instead).

Agents 1,2 k fa 8 mesos
modu-ai

moai

modu-ai

MoAI super agent - unified orchestrator for autonomous development. Routes natural language or explicit subcommands (plan, run, sync, fix, loop, project, feedback) to specialized agents. Use for any development task from planning to deployment.

Agents 1,2 k fa 8 mesos
modu-ai

moai-foundation-claude

modu-ai

Canonical Claude Code authoring kit covering Skills, sub-agents, plugins, slash commands, hooks, memory, settings, sandboxing, headless mode, and advanced agent patterns. Use when creating Claude Code extensions or configuring Claude Code features.

Agents 1,2 k fa 8 mesos
modu-ai

moai-workflow-spec

modu-ai

SPEC workflow orchestration with EARS format requirements, acceptance criteria, and Plan-Run-Sync integration for MoAI-ADK development methodology. Use when creating SPEC documents, writing EARS requirements, defining acceptance criteria, planning features, or orchestrating the /moai plan phase. Do NOT use for implementation (use moai-workflow-ddd instead) or documentation generation (use moai-workflow-project instead).

Agents 1,2 k fa 8 mesos
modu-ai

moai-workflow-ddd

modu-ai

Domain-Driven Development workflow specialist using ANALYZE-PRESERVE-IMPROVE cycle for behavior-preserving code transformation. Use when refactoring legacy code, improving code structure without functional changes, reducing technical debt, or performing API migration with behavior preservation. Do NOT use for writing new tests (use moai-workflow-testing instead) or creating new features from scratch (use expert-backend or expert-frontend instead).

Agents 1,2 k fa 8 mesos