Automation

design-to-beads

by Xexr

Use when converting a design document, PRD, or task list into beads issues - ensures lossless conversion with proper epic hierarchy, validated dependencies for maximum parallelization, and three independent subagent review passes before execution

mastering-langgraph

by SpillwaveSolutions

Build stateful AI agents and agentic workflows with LangGraph in Python. Covers tool-using agents with LLM-tool loops, branching workflows, conversation memory, human-in-the-loop oversight, and production monitoring. Use when - (1) building agents that use tools and loop until task complete, (2) creating multi-step workflows with conditional branches, (3) adding persistence/memory across turns with checkpointers, (4) implementing human approval with interrupt(), (5) debugging via time-travel or LangSmith. Covers StateGraph, nodes, edges, add_conditional_edges, MessagesState, thread_id, Command objects, and ToolMessage handling. Examples include chatbots, calculator agents, and structured workflows.

lno-prioritize

by breethomas

Find out if you're spending time on the wrong things. Categorize backlog by Leverage/Neutral/Overhead and challenge your time allocation.

shape-up

by breethomas

Shape work using the Shape Up methodology (Ryan Singer, Basecamp). Walk through the 4-step shaping process to create pitches ready for betting. Distinguishes between established product mode (fixed time, variable scope) and new product mode (looser constraints). Use when planning cycle work, writing pitches, or coaching PMs on shaping.

agent-workflow

by breethomas

Expert system for designing and architecting AI agent workflows based on proven Meta methodologies. Use when users need to build AI agents, create agent workflows, solve problems using agentic systems, integrate multiple tools into agent architectures, or need guidance on agent design patterns. Helps translate business problems into structured agent solutions with clear scope, tool integration, and multi-layer architecture planning.

pm-frameworks

by breethomas

Expert knowledge of proven product management frameworks for discovery, growth, measurement, planning, and AI-era practices.

token-budget-advisor

by Exploration-labs

Proactive token budget assessment and task chunking strategy. Use this skill when queries involve multiple large file uploads, requests for comprehensive multi-document analysis, complex multi-step workflows with heavy research (10+ tool calls), phrases like "complete analysis", "full audit", "thorough review", "deep dive", or tasks combining extensive research with large output artifacts. This skill helps assess token consumption risk early and recommend chunking strategies before beginning work.

intent-build-now

by ArcBlock

Start implementation from Intent. Validates Intent completeness, then either delegates to TaskSwarm (if available) or executes TDD phases directly. Use when you have an Intent ready and want to start building.

intent-assess

by ArcBlock

Assess if IDD fits your project and learn about Intent-Driven Development. Use /intent-assess to evaluate project suitability or /intent-assess --learn for IDD education.

agent-rdp

by thisnick

Controls Windows Remote Desktop sessions for automation, testing, and remote administration. Use when the user needs to connect to Windows machines via RDP, take screenshots, click, type, or interact with remote Windows desktops.

gpui-troubleshooting

by cnwzhu

Common errors and solutions for GPUI development. Use when debugging build errors, runtime panics, borrow checker issues, or unexpected behavior.

biologist-commentator

by dangeles

Use when evaluating biological relevance, methodological appropriateness, or scientific validity of bioinformatics approaches, or when choosing between analysis methods/software tools.

perspective-swarm

by dangeles

Protocol specification for multi-perspective brainstorming via 5 parallel agents with confidence-weighted synthesis. Executed by brainstorming-pm orchestrator.

plan-execution

by joabgonzalez

"Batch execution with checkpoints. Trigger: When executing plans with batched tasks."

senior-developer

by dangeles

Use when implementing production-quality Python code within an assigned scope, including architecture decisions at component level, comprehensive testing, and code review of junior-developer outputs.

cfd-bioreactor

by dangeles

Use when user needs to simulate fluid flow through bioprocess cartridges, bioreactor geometries, or membrane devices using FEniCSx. Covers Navier-Stokes flow, O2 species transport with Michaelis-Menten kinetics, membrane permeation, mesh generation from CAD geometry, and interactive 3D visualization.

completion-verifier

by dangeles

Verification system that ensures tasks are truly complete before marking them done, preventing premature completion claims through systematic checklist validation

multi-agent-orchestration

by lv416e

"Use when work can be decomposed into independent, parallelizable tasks - Planner/Worker/Judge pattern for spawning subagents with bounded scope, clear acceptance criteria, and quality gates before merging results 作業を独立した並列化可能なタスクに分解できる場合に使用 - 境界付きスコープ、明確な受け入れ基準、マージ前の品質ゲートを持つサブエージェント生成のためのPlanner/Worker/Judgeパターン"

strategist

by dangeles

Use when research direction needs assessment, critical knowledge gaps must be identified, or priorities must be recommended based on impact, dependencies, and effort (especially at project milestones or when scope questions arise)

manage-sprint

by legacybridge-tech

Manage sprint/iteration lifecycle for Agile teams including planning, tracking, review, and retrospectives. Use when user mentions "sprint", "iteration", "user story", "backlog", "velocity", "scrum", "kanban board", or wants to track work in iterative cycles. Adapts to Scrum, Kanban, or custom Agile workflows.

json-tools

by ivanvza

JSON processing toolkit for validating, formatting, querying, and comparing JSON data. Use when working with JSON files, API responses, configuration files, or any structured JSON data that needs parsing, validation, transformation, or comparison.

1. Overview

by martinholovsky

celery-expert

by martinholovsky

"Expert Celery distributed task queue engineer specializing in async task processing, workflow orchestration, broker configuration (Redis/RabbitMQ), Celery Beat scheduling, and production monitoring. Deep expertise in task patterns (chains, groups, chords), retries, rate limiting, Flower monitoring, and security best practices. Use when designing distributed task systems, implementing background job processing, building workflow orchestration, or optimizing task queue performance."

async-programming

by martinholovsky

Concurrent operations with asyncio and Tokio, focusing on race condition prevention, resource safety, and performance