devflow
claudeFeature work in one flow: requirements in rounds, one design doc carrying every decision, code gated on that doc, UI critiqued before it ships, analytics asked about at the hand-offs.
2 skills · hooks
Skills for learning to code: mentoring a beginner through building their first project, and explaining unfamiliar codebases from zero.
Plugin learning-skills from marketplace claude-skills in Cybeaster/LLMSkills. Commands read from the repo's manifest — 21 days ago.
explain-this-projectExplains an unfamiliar codebase to a reader who does not know software architecture — what the project is, why it is built the way it is, every principle explained from zero, and an ordered list of what to learn in order to build something similar. Produces one self-contained HTML file (Russian by d
project-mentorMentors a beginner through building their own first project end to end — suggests project ideas matched to their stack and interests (researched on the web, not invented), writes a design doc in their language, scaffolds the repo as signatures plus failing tests that act as the spec, then coaches th
Feature work in one flow: requirements in rounds, one design doc carrying every decision, code gated on that doc, UI critiqued before it ships, analytics asked about at the hand-offs.
2 skills · hooks
One view over every local Claude Code session: task pools with evidence, child sessions under their parent task, a TUI, and /orch for your phone.
1 skill · 1 command · hooks
Writing skills: ru-style writes, checks, fixes and scores Russian text — «Пиши, сокращай» (Ильяхов, Сарычева) plus the ru-text rule set.
1 skill
Picks the model and effort for delegated work by task class, enforces it on Agent calls, and logs every choice.
Interactive learning mode that requests meaningful code contributions at decision points (mimics the unshipped Learning output style)
hooks
Agentic QE (external: maintained in proffesor-for-testing/agentic-qe, pinned to v3.15.17): a quality-engineering fleet with 11 QE agents, 9 skills, 9 commands, the agentic-qe MCP server pinned to the plugin version, and the aqe-mod guard that refuses destructive operations on AQE learning data
9 skills · 9 commands · 11 agents · 1 MCP server
Cross-session memory and token savings for coding agents.
6 skills · 1 agent · 1 MCP server · hooks
Full Domino Data Lab platform support — workspaces, jobs, model deployment, experiment tracking, GenAI tracing, Spark/Ray/Dask, and app deployment for data science teams
26 skills · 4 commands · 3 agents · 1 MCP server
Claude Code native multi-agent orchestration with intelligent model routing across agents and skills. Zero learning curve. Maximum power.
85 skills · 20 commands · 19 agents · 1 MCP server · hooks
Turn any learning intent into a personalized Coursera experience. Asks three quick questions (topic, familiarity, preferred format), searches Coursera's catalog, and delivers the right next step — a course, hands-on project, short video, or live roleplay — then maps a path forward. Requires the Coursera connector for catalog tools.
1 skill
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