Skills for designing, writing, reviewing, and debugging GitHub Actions workflows that consume netcracker/qubership-workflow-hub actions and Netcracker/.github templates.
3 skills
Structure and content rules for Go doc comments and inline comments: what a comment says, in what order, and how far a rewrite may grow.
Plugin godoc-authoring from marketplace qubership-ai-packages in Netcracker/qubership-ai-packages. Commands read from the repo's manifest — yesterday.
godoc-authoringLoad before writing, editing, or reviewing a doc comment or inline comment in Go: the comment on a new or changed function, method, type, or package, a method that implements an interface, a //go:, //nolint, or +kubebuilder line, a regression test that names the old defect, a subtest name or a failu
Skills for designing, writing, reviewing, and debugging GitHub Actions workflows that consume netcracker/qubership-workflow-hub actions and Netcracker/.github templates.
3 skills
Apply NiFi 1.x to 2.x upgrade advisor recommendations to exported flow JSON files.
1 skill
Author Architecture Decision Records that follow the ADR contract used across Qubership repositories.
1 skill
Review GitHub pull requests and GitLab merge requests from an isolated Git workspace and publish feedback with user authorization.
1 skill
Agent-guided setup, testing, repair, and delivery verification.
1 skill
Authoring classify rules, response-scope handling, adapters, and tests for the api-diff library.
1 skill
Built for ecommerce, the Noibu plugin bridges the gap between customer experience and revenue by connecting Claude directly to your store's session, error, and conversion data through Noibu — and to the marketing, support, and commerce platforms that put insight into motion. Go beyond analysis: surface what's costing you revenue, take action across your stack, build workflows to automate work end-to-end.
Built for ecommerce, the Noibu plugin bridges the gap between customer experience and revenue by connecting Claude directly to your store's session, error, and conversion data through Noibu — and to the marketing, support, and commerce platforms that put insight into motion. Go beyond analysis: surface what's costing you revenue, take action across your stack, build workflows to automate work end-to-end.
9 skills
Converts books, documentation folders, and source collections (PDF, EPUB, DOCX, HTML, Markdown, RST, AsciiDoc, RTF, MOBI/AZW) into structured agent skills: a master SKILL.md with core frameworks and a topic index, on-demand chapter files, a glossary, a patterns file, and a decision cheatsheet. Ships 4 stdlib-only tools (multi-format extractor with invisible-Unicode sanitization, four-family generated-skill validator covering frontmatter/safety/budget/index, pre- and post-flight token budget estimator with a worth-converting verdict, and a plugin emitter that wraps a compiled skill as an installable claude-skills package behind a rights gate), 5 references citing 7-8 sources each, a cs-book-to-skill agent, and /cs-book-to-skill + /cs-book-to-plugin commands. Derived from virgiliojr94/book-to-skill (MIT).
1 skill · 2 commands · 1 agent
67 specialized skills for full-stack development: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 8 backend frameworks, 7 frontend/mobile, plus infrastructure, DevOps, security, and testing skills. Includes 9 project workflow commands for epic planning, discovery, execution, and retrospectives.
67 skills · 10 commands
Granola MCP connects your meeting history to ChatGPT so your assistant can pull real context from past conversations while you work. Use MCP when you're already working on something bigger: - Writing PRDs or proposals: Pull customer feedback, stakeholder input, and decisions from relevant meetings directly into your draft - Building presentations or reports: Combine insights from multiple conversations with your other research and data - Coding with context: Give your AI the project background, requirements, and technical decisions discussed in planning meetings - Strategic analysis: Merge meeting insights with documents, data, and other sources for comprehensive analysis How it works: Your AI assistant can search your Granola meetings by topic, person, company, or timeframe - then cite specific conversations in its responses. No more switching tabs to find "what the customer said" or "when we decided that." The difference: Instead of copy-pasting meeting notes into prompts, your AI pulls exactly what it needs from your meeting history automatically. You stay focused on the work, not the research or context.
1 MCP server · app connector
A coordinated engineering team of named AI specialists that remembers your project between sessions. Call yui to route work, or call any specialist directly: Go (jaan, siim, mart), Angular (liis, kadi, tiiu), iOS (ren, shu, ryo), Python (eero, anu, ivo), React (noa, rui, aki), SQL (saku), NoSQL (remo), architecture for any stack (kai), process management (enn), and DevOps/infra (sora). Each ships as both a skill and a subagent. Bundled hooks capture finished work when a session ends and say at the next session start that saved work exists, and record per-session and per-agent token and time usage. Every specialist follows the same discipline: read context first, make the smallest correct change, verify.
23 skills · 20 agents · hooks
This page updates itself from your repo. Add the badge to your README, or get it Featured to pin it above the organic results with a followed link to your site.