Packs

4 packs

Build agents, MCP servers and tool-using workflows.

34 skills · pack

Microsoft 365 Agents Toolkit

Toolkit for building and evaluating Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, capability configuration, and eval workflows.

6 skills · pack

AI and ML skills for .NET: technology selection, LLM integration, agentic workflows, RAG pipelines, MCP, and classic ML with ML.NET.

5 skills · pack

@alirezarezvani

37 advanced engineering skills: agent designer, agent workflow designer, RAG architect, database designer + schema designer + SQL assistant, migration architect, observability designer, dependency auditor, changelog generator (with semantic version bumper and hotfix/rollback procedures), API design reviewer, API test suite builder, CI/CD pipeline builder, MCP server builder, skill security auditor

33 skills · pack

Results for “agent-workflow”

30 skills

agentic-workflows

Routes requests to design, create, debug, update, or upgrade GitHub Agentic Workflows by loading the appropriate workflow prompt or skill file.

agentic-workflows

Routes requests to design, create, update, debug, or upgrade GitHub Agentic Workflows by loading the appropriate workflow prompt or skill file.

Discover, compare, audit, repair, adapt, craft, run, debrief, and publish repeatable AI-agent loops for engineering workflows.

42.4k · bundle

dynamic-workflow-mode

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

ai-team-orchestration

Bootstrap and run a multi-agent AI development team with parallel chats for planning, development, QA, and DevOps.

36.2k · bundle

agent-skill-creator

Creates cross-platform agent skills from workflow descriptions, files, URLs, or screenshots. Supports single skills, multi-agent suites, template-based creation, cross-platform export, spec validation, and security auditing of third-party skills before install.

More results

Orchestrate parallel AI agent sessions using dmux, a tmux pane manager for agent harnesses like Claude Code and Codex.

Mines SpecStory coding histories from any agent into a persistent corpus, surfaces reproducible workflows with corroborated evidence, and interactively forges chosen ones into skills installed across agent harnesses.

create-agentsmd

Generates a comprehensive AGENTS.md file at the repository root to provide AI coding agents with project context, setup commands, development workflows, testing instructions, and code style guidelines.

Builds persistent multi-agent workflows on Claude Code using a kernel config, specialist agents, slash commands, file-based memory, and scheduled automation without external databases.

orchestrator-autonomous-workflow-standard-mxm-orchestrator

Governs unattended automation workflows with mandatory budgets, dry-run defaults, and a separate verification gate before any side effect.

Discover, audit, repair, adapt, and design bounded, verifiable AI-agent loops with explicit triggers, actions, stopping conditions, and guardrails.

20.4k · bundle

Create, synthesize, and iteratively improve agent skills following the Agent Skills specification. Handles source capture, precision passes, authoring, registration, and validation.

construct-ai-primary

workflow-implementation

Workflow Implementation

Provides a structured process for creating or updating skills that extend an AI agent's capabilities with specialized knowledge, workflows, and tool integrations.

66.9k · bundle

Architecture-first workflow for delegating complex projects to AI coding agents. Ensures code fits the system before it's written.

using-agent-skills

Discovers and invokes agent skills by mapping tasks to development phases, with core operating behaviors for assumption surfacing, confusion management, and scope discipline.

context-engineering

Optimizes agent context setup by structuring rules, specs, source files, error output, and conversation history to improve output quality.

Inspect, create, close, and rearrange cmux workspaces, panes, surfaces, and agent sessions, and send input or monitor agents running inside cmux from macOS terminal workflows.

Establishes a two-party working posture where the user directs and the agent executes, surfacing every genuine fork as a batched single-select question with a recommended default.

Control cmux workspaces, panes, surfaces, and agent sessions safely from macOS terminal workflows.

160-how-20440682

Coordinates four reasoning skills and an agent for structured thinking, problem solving, creative ideation, and learning.

using-superpowers

Establishes a mandatory workflow for invoking relevant skills before any response, including clarifying questions, with priority ordering and red-flag guidance.

your-skill-name

Provides a structured template for creating new agent skills, including workflow steps, input/output schemas, and quality gates.

zoho-desk-automation

Automate Zoho Desk operations including tickets, contacts, agents, departments, and help desk workflows via Composio's toolkit and Rube MCP.

gsd-research-phase

Spawns a researcher agent to investigate how to implement a project phase, gathering context on architecture patterns, standard libraries, and common pitfalls.

construct-ai-primary

cross-team-collaboration

Use when multi-company coordination, cross-team communication, or inter-company workflow execution is needed. This skill defines protocols for agents from different companies to cooperate on shared projects and tasks.

ai-builder-club

Creates a new recurring workstream (loop) in a file-based knowledge base: scaffolds the domain folder, runs a real test cycle, and records the result in the timeline and log.

dsar-processing

Guides AI agents through the complete GDPR Data Subject Access Request (DSAR) workflow under Article 15, including identity verification, 30-day deadline calculation with extensions, response formatting, exemptions, and fee provisions. Activate when handling DSAR, access request, subject access, Art. 15, or SAR queries.

dag-orchestrator

The intelligence layer of WinDAGs. Decomposes natural language tasks into Hierarchical Task DAGs (HTDAGs), matches subtasks to skills, executes waves in parallel, and dynamically expands nodes when complexity exceeds executor capability. Use for 'orchestrate', 'execute DAG', 'parallel agents', 'decompose task', 'coordinate skills'. NOT for single-skill tasks or simple linear workflows.