Systems Programming
codexInstall the "Systems Programming" workflow plugin from Agentic Awesome Skills.
5 skills
Write Ranger and build with it: the language's traps, a compile loop that fails loudly, EVG documents, Rave applications, and an index of worked examples.
Plugin ranger from marketplace ranger in terotests/Ranger. Commands read from the repo's manifest — today.
evg-editRead, change and check an EVG document — a `.evg.json` file, or a `.tsx` page under lib/evg/showcase — without guessing. Use when asked to change what a page, card, chart, diagram or PDF looks like; to move, restyle, retitle or add an element; to find out why a layout is wrong; or to check whether t
ranger-langWrite or edit Ranger source (`.rgr`) without walking into the compiler errors that cost the most time — a call that needs its own parentheses, two statements on a line, a parenthesised receiver. Use whenever creating or changing a `.rgr` file, and especially when a Ranger compile fails with an error
ranger-startStart Ranger in a project that has none — install the compiler, write the first program that actually runs, and set up the build loop. Use when asked to try Ranger, start a Ranger project, add Ranger to an existing repository, or when a `.rgr` file is to be written somewhere with no Ranger toolchain
raveDesign and change a Rave application from files on disk — a responsive, routed, accessible app that really runs, written as HTML-shaped markup and checked without a browser. Use when asked to make, restyle, extend or fix a Rave document (.rave / app.rave.json), when a `rave check` reports rejections
Install the "Systems Programming" workflow plugin from Agentic Awesome Skills.
5 skills
This plugin provides a specialized suite of skills for data engineers and database practitioners working on Google Cloud. It acts as an expert assistant, allowing you to use natural language prompts in your preferred coding agent to architect complex data pipelines, transform data with dbt, write Spark and BigQuery SQL notebooks, and orchestrate end-to-end workflows across GCP's data ecosystem.
37 skills
Modern Python development with Python 3.12+, Django, FastAPI, async patterns, and production best practices
16 skills · 1 command · 3 agents
Run your monday CRM in plain language. Build a pipeline from scratch, start the day with a ranked deal briefing, spin up a forecast dashboard, audit board health, clean up messy data in bulk, and turn meeting notes into deal updates. Every skill writes back into monday as a real update, doc, or dashboard. Built on the official monday MCP connector.
10 skills · 1 MCP server
Build, launch, grade, and schedule Claude Managed Agents (CMA) in your own Anthropic account — a plugin re-implementation of Anthropic's launch-your-agent reference skill (Apache-2.0; independent, not a fork). Every session starts with a goal (./my-agent/goal.json, opt-in SessionStart hook, driven by /cs-goal); loop_compiler.py compiles it into a bounded grade->iterate loop (max_iterations 1..20), a recurring cron scheduled-deployment loop, or a single-pass interview->stage->launch workflow. 6 skills: orchestrator (context: fork goal router) + interview + stage-launch + grade-iterate + run-without-you + wrap-up. 18 stdlib-only deterministic scaffolders (no network/API calls; live launches emitted as BYOK curl that never prints the key), 4 agents, 8 commands, hooks, 5 references, 4 assets. Validators enforce CMA limits. Distinct from engineering/agent-harness (generic domain loop) and write-a-skill (authors Claude Code skills, not CMAs).
6 skills · 8 commands · 4 agents · hooks
Language-specific expert agents with deep framework knowledge - Python, TypeScript, Go, Rust, Java, and more
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