By nabeelhyatt
Orchestrate compounding knowledge work cycles: research tasks with precedents and constraints, synthesize executable plans, deploy specialized agents for execution, run parallel reviews for issues and risks, then extract patterns, templates, preferences, and learnings to personalize and streamline future tasks.
Conducts root-cause analysis of what went wrong and how to prevent recurrence.
Organizes and indexes insights for reliable future retrieval.
Extracts reusable patterns and anti-patterns from completed work.
Captures user style, tone, detail, and format preferences revealed during work.
Creates reusable templates from successful outputs.
Extract and store learnings from completed knowledge work to make the next task easier. Use after completing any significant piece of work to capture patterns, create templates, and update preferences. Triggers on requests like 'that went well, let's capture what worked', 'what did we learn', 'that didn't go well', or after completing high-stakes work.
Research and plan a knowledge work task thoroughly before execution. Use when starting any significant piece of work - drafting important communications, making strategic decisions, preparing for meetings, or tackling analysis projects. Triggers on requests like 'help me prepare for', 'I need to draft', 'plan out', or any high-stakes knowledge work.
Run parallel multi-agent review on completed knowledge work. Use after the work phase to evaluate output quality from multiple specialized perspectives before finalizing. Triggers on requests like 'review this', 'check this before I send it', 'stress-test this recommendation', or when quality assurance is needed on a deliverable.
Execute a knowledge work plan efficiently while maintaining quality. Use after the research phase to systematically work through a plan using the right agents for each step. Triggers on requests like 'execute the plan', 'draft that email we planned', 'go ahead and write', or when moving from planning to execution.
Uses power tools
Uses Bash, Write, or Edit tools
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Knowledge work superpowers that compound over time.
CoworkPowers is a Claude Code plugin that gives Claude systematic capabilities for tackling knowledge work -- drafting communications, making decisions, preparing for meetings, and more. Each completed task feeds insights back into the system, making the next similar task faster and better.
/coworkpowers:workflow-research) - Thoroughly research the task, search past learnings, gather context/coworkpowers:workflow-work) - Execute the plan with specialized agents/coworkpowers:workflow-review) - Multi-agent quality review from multiple perspectives/coworkpowers:workflow-compound) - Extract patterns, templates, and preferences for next timeResearch runs parallel agents to gather context before any work begins. The context-gatherer pulls relevant background. The stakeholder-mapper identifies who cares and why. The constraint-analyzer finds the boundaries. The precedent-researcher checks what's worked before. These run in parallel -- not sequentially -- so research is fast even when it's thorough.
Stakes classification happens here too. A routine email gets a lightweight context scan. A board presentation gets the full agent roster. This prevents the overwork problem where every task gets treated like a crisis.
Work is where execution happens. The system picks the right agent mindset for the task type: executive-writer for communications, analyst for data work, decision-architect for strategic choices (this one has 40+ decision frameworks it selects from), meeting-orchestrator for meeting prep, coach for leadership challenges. The work uses everything Research gathered, so there's no redundant context-fetching.
Review is where progressive loading gets interesting. Low-stakes work might only get a clarity pass. High-stakes work activates up to 8 specialized reviewers running in parallel:
Each reviewer returns findings tagged by severity: Critical, Important, or Minor. Criticals get fixed before delivery. Important items get flagged. Minor items are noted but not blocking.
After Work and Review complete, the Compound phase runs analysis agents that extract reusable knowledge:
Each insight gets stored as a discrete, tagged file in .context/learnings/. One insight per file, because granular knowledge is findable. A monolithic "things we learned" doc isn't.
Next time you do similar work, the Research phase searches these learnings before doing any new research. It loads matching patterns, applies saved templates, honors your preferences, and avoids documented failures.
The practical effect: your first partner update might take the full Research > Work > Review cycle. Your fourth one loads the template, applies your preferred tone, and skips the research it already has. Faster, cheaper, and more consistent.
# Option A: (Easiest) Open Claude Code, then install from Marketplace just copy and paste this line into Claude Code and hit yes, then restart Claude Code after install and start with the first command - /workflow-research and the first task
/plugin install coworkpowers@coworkpowers
# Option B: Test locally
git clone https://github.com/nabeelhyatt/coworkpowers.git
claude --plugin-dir ./coworkpowers
npx claudepluginhub nabeelhyatt/coworkpowers --plugin coworkpowersKnowledge compounds. Brainstorm, plan, review, execute, and save what you learn — so the next cycle starts smarter. 6 skills, 5 agents.
Entrepreneur OS core: AUDHD executive function, voice enforcement, and research mode
PM 코치 - 업무 소통 최적화. 요청/수신/보고 세 가지 모드로 명확한 소통 지원. 두서없는 지시를 구조화된 업무 정의서로 변환.
PM Weekly Review: a 20-minute structured ritual covering metrics movement, shipping progress, customer insights, and next week's top 3 priorities in a shareable update.
Auto-improving AI sub-agents that learn from their mistakes across sessions
Skills for building your AI Personal OS: onboarding, daily journaling, knowledge extraction, LinkedIn research-to-publish pipeline, Chief of Staff system review, and PowerPoint deck QA.