Packs

9 packs

Task Execution Workflow

Load a plan, execute tasks with verification, and track progress via issues.

10 skills · pack

Route questions to domain experts instead of asking the current user

2 skills · pack

UX strategy skills: information architecture, content strategy, navigation patterns, user flows, task analysis, and competitive UX audits.

12 skills · pack

Build Multi-Agent System with CrewAI

Design and orchestrate multi-agent AI teams using the CrewAI framework with agent roles, task decomposition, and crew processes.

11 skills · pack

Bridges to pi (dev/pi), a minimal terminal coding harness. Delegates coding tasks to the pi CLI for execution with full file and git context.

3 skills · pack

Business Process

Business process skills (process-optimizer, sop-writer, workflow-mapper, weekly-review). Useful for operational documentation, SOP generation, and workflow analysis. NOT for: software engineering tasks — these target organizational processes, not code.

4 skills · pack

@pwdev-solucoes

Spec-driven development framework v2.3 — 8 real subagents (incl. advisor), per-task model routing, curated memory graph, opt-in parallel waves, external CLI delegation (Codex/OpenCode/Kimi/Gemini/Kiro), simplification pass, strict verify, audit hooks, 22 commands

2 skills · pack

Utility skills (decision-matrix, navigate, model-route, prompt-improver, grill-research, align-prompt). Useful for specialized one-off tasks like structured decisions, adversarial research grilling, or aligning a draft prompt to an Opus model. NOT for: daily development workflow — these are situational tools, not always-on skills.

4 skills · pack

@alirezarezvani

Multi-agent collaboration — spawn N parallel subagents that compete on code optimization, content drafts, research approaches, or any task that benefits from diverse solutions. 7 slash commands (/hub:init, /hub:spawn, /hub:status, /hub:eval, /hub:merge, /hub:board, /hub:run), agent templates, DAG-based orchestration, LLM judge mode, message board coordination.

8 skills · pack

Results for “task”

64 skills

Benchmarks mobile GUI agents on multi-step tasks across 20 Android apps, measuring task completion and essential-state navigation with Task Success Rate and Essential State Achieved Rate.

Scaffolds a coder-eval task suite in a repository by scanning for testable components, writing one real task, and validating it.

Coordinates multiple AI agents through a shared room: shared memory, task claiming, conflict detection, and destination tracking.

Orchestrate multi-agent workflows with CrewAI, defining role-based agents, tasks, crews, and custom tools for sequential or hierarchical collaboration.

Offload sub-tasks to other agents, specialist models, or background jobs, with guidance on choosing the right method and verifying results.

Designs collaborative AI agent teams using CrewAI, covering agent roles, task definitions, crew orchestration, process types, memory, and flows.

More results

Provides principles and tactical rules for multi-agent collaboration, task scoping, and file race prevention in swarm execution.

Designs and orchestrates multi-agent AI teams using the CrewAI framework, covering agent roles, task decomposition, crew processes, memory, and flows.

johnalbertini14-glitch

Coordinates multi-agent swarms with shared spatial memory, task management, conflict detection, and destination navigation via an Eywa room.

Post, claim, and settle agent tasks on the AZZLE protocol (Base mainnet, USDC escrow). Requires Bankr for swaps, approvals, and on-chain execution.

Delegates tasks to specialized AI agents running in parallel via the Box0 platform, enabling code review, security checks, research, and documentation.

Orchestrates multi-agent teams using the ClawTeam CLI, enabling task management, inter-agent messaging, git context integration, runtime profiles, and monitoring dashboards.

crewai-multi-agent

Orchestrates teams of specialized AI agents with role-based collaboration, memory, and sequential or hierarchical execution for complex multi-step tasks.

project-development

Guides project-level decisions for LLM-powered systems: task-model fit, pipeline architecture, token and cost estimation, and agent-assisted iteration.

16.9k · bundle

Designs collaborative AI agent teams using the CrewAI framework, covering agent roles, task decomposition, crew orchestration, process types, memory systems, and event-driven flows.

leandrobenjaminl

lend-ai-delegation

Guides agents to delegate tasks to specialized sub-agents using a decision tree and automatic triggers, with recursive spawning and integration with an agent-router MCP.

ai-automation-workflows

Build automated AI workflows combining multiple models and services for batch processing, scheduled tasks, event-driven pipelines, and agent loops using the inference.sh CLI.

Coordinates multiple agents with spatial memory and swarm navigation for collective task execution.

Recommends the optimal Claude model tier (Opus, Sonnet, or Haiku) for a given task by analyzing reasoning depth, blast radius, domain expertise, output length, and correctness cost, and suggests parallelization opportunities.

Spawns GLM-5 powered teammates with thinking mode for coding, review, testing, planning, and research tasks.

Orchestrates multi-agent workflows defined in YAML piece files, delegating tasks to team members and managing state transitions.

Create a new AgentHub collaboration session with task, agent count, and evaluation criteria for multi-agent competitions.

nimoqup046-collab

Designs collaborative AI agent teams with CrewAI, covering agent roles, task definitions, crew orchestration, and process types.

lucaspmarie-a11y

Designs collaborative AI agent teams with CrewAI, covering agent personas, task definitions, crew orchestration, and process types.

Benchmarks language model agents on the C2C multi-agent negotiation task, reporting win rate across starting positions.

sitespeakai-automation

Automate Sitespeakai tasks through Composio's toolkit via Rube MCP, with dynamic tool discovery and connection management.

Recommends the best skill, agent, or command for a given task by classifying intent and scanning available tools.

Spawns GLM-5 powered teammates with native thinking mode for coding, review, testing, planning, and research tasks.

Creates and manages AI agent teams for complex engineering tasks, with model routing, cost optimization, and performance evaluation.

dynamic-workflow-mode

Design task-local harnesses, eval gates, and reusable skill extraction for adaptive agent workflows.

datarobot-automation

Automate DataRobot operations through Composio's toolkit via Rube MCP, including tool discovery, connection management, and task execution.

Compares coding agents head-to-head on reproducible tasks, measuring pass rate, cost, time, and consistency.

Hand off tasks to the SLICC browser agent or install a new skill into SLICC from a GitHub repository.

genderize-automation

Automate gender detection and name analysis tasks using the Genderize API through Composio's Rube MCP integration.

Compare coding agents head-to-head on reproducible tasks with pass rate, cost, time, and consistency metrics.

Designs collaborative AI agent teams with CrewAI, covering agent roles, task decomposition, crew orchestration, process types, memory, and flows.