By cpliakas
Product ownership and agile coaching agents and skills for roadmap planning, requirement authoring, and epic/story decomposition with structured output for GitHub Issues and Jira
Agile Coach peer agent for story quality review and retrospective facilitation. Use when a story draft needs coaching before backlog entry, to audit story structure, acceptance criteria, and scope, or to facilitate a structured retrospective over a body of work. Peer of product-owner — consult for INVEST validation, AC quality checks, Definition of Done completeness, scope boundary review, and blameless retrospective facilitation.
Product owner and roadmap keeper. Use proactively for roadmap planning, work sequencing, phase prioritization, capturing strategic direction (vs. setting strategic direction), feature scoping, dependency analysis, or evaluating whether proposed work aligns with the project trajectory. Consult BEFORE starting non-trivial feature work and AFTER completing significant work.
Decompose a requirement into well-sequenced child items with structured metadata. Takes an epic and produces stories, or takes a story and produces subtasks. Each child includes YAML frontmatter compatible with GitHub Issues and Jira.
Score a story draft against INVEST criteria and seven agile coaching principles. Returns a structured report with pass/fail per dimension and specific rewrites for failures.
Produce a structured retrospective document from a sprint or body-of-work description. Follows the Derby-Larsen five-phase framework with blameless framing and SMART action items.
Scaffold a RIMGEN-validated bug report with reproduction steps, environment context, severity, and priority. Outputs named warnings for any missing or incomplete RIMGEN sections.
Write an epic specification with structured metadata, problem statement, success criteria, and scope boundaries. Output includes machine-parseable YAML frontmatter compatible with GitHub Issues and Jira.
Uses power tools
Uses Bash, Write, or Edit tools
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This repository is deprecated. Development has moved to claude-code-engineering-leaders.
A collection of Claude Code plugins that give AI a well-defined operating context before it writes a single line of code. Most plugins in the broader community focus on a specific technical capability. This project takes a different angle: the plugins here focus on the context layer, giving AI the standards, constraints, and sequencing signals it needs to make better decisions about what to build and how to build it.
This is a personal learning project. Building agents, wiring them together, and watching where they break is how I develop intuition for what works and what doesn't. The agents here are opinionated to a specific stack and working style and aren't designed for broad adoption.
If you're looking for well-maintained, general-purpose collections of Claude Code agents and skills, these are better starting points:
The agents here are valuable because they coordinate and provide oversight — setting principles, delegating, and evaluating — not because they do implementation work that Claude already handles well on its own.
The cloud-engineering-aws plugin illustrates this with a two-tier model: devops-lead sets tool-agnostic infrastructure principles, and aws-solutions-architect translates those principles into AWS-specific architecture decisions. Each agent's Delegation section names who it consults and what it delegates, making the coordination chain explicit and inspectable.
One risk of delegating implementation to agents is losing sight of what actually matters. The product-owner agent is intended as a check on that: it maintains roadmap context, advises on sequencing, and pushes back when proposed work doesn't align with current priorities.
The hope is that agents coordinating with the product owner execute with better context, and that humans get clearer guidance on sequencing toward broader goals. The /write-epic, /write-story, /write-bug, and /decompose-requirement skills produce structured artifacts that land directly in GitHub Issues or Jira, keeping the backlog organized with well-refined requirements.
Agent definitions are easy to write and hard to evaluate. The benchmark harness (benchmark/benchmark.py) provides a structured way to test whether an agent's knowledge and reasoning actually hold up.
Each benchmark is a suite: a suite.yaml defining prompt templates, scoring criteria, and a dataset of question-answer pairs. The harness sends each scenario to the agent, then passes the response to an LLM judge for scoring. Adding a new suite requires no harness code changes, just a config file and a dataset.
The current suite tests aws-solutions-architect against 494 SAA-C03 exam scenarios. See benchmark/README.md for the full CLI reference and how to create new suites.
Add the marketplace to your Claude Code project, then install the plugins you need:
/plugin marketplace add cpliakas/claude-code-digital-coworkers
/plugin install product-owner@digital-coworkers
/plugin install cloud-engineering-aws@digital-coworkers
Product operations for roadmap planning, requirement authoring, and structured output for issue tracking.
npx claudepluginhub cpliakas/claude-code-digital-coworkers --plugin product-opsAWS cloud infrastructure agents for DevOps strategy and solutions architecture
Execution and product management skills: PRDs, OKRs, roadmaps, sprints, pre-mortems, stakeholder maps, user stories, prioritization frameworks, and more.
Product management: ticket-info, user-stories-create, prd, spec
Project management agents — agile coach, delivery manager, progress tracking
Harness-native ECC operator layer - 67 agents, 271 skills, 92 legacy command shims, reusable hooks, rules, selective install profiles, and production-ready workflows for Claude Code, Codex, OpenCode, Cursor, and related agent harnesses
Binary reverse engineering, malware analysis, firmware security, and software protection research for authorized security research, CTF competitions, and defensive security
v9.44.1 — Patch release for Gemini environment/version detection and qwen auth gating. Run /octo:setup.