claude

flora131-atomic

Comprehensive harness for understanding, researching, and planning features in any codebase, with autonomous capabilities for shipping complex features end-to-end.

0 on GitHubupdated 6 months agocode_general
/

Plugin flora131-atomic from marketplace cascade-code-general-misc-2 in joshuarweaver/cascade-code-general-misc-2. Commands read from the repo's manifest — 1 month ago.

What it installs

Skills (28)

  • bun

    Use when building, testing, and deploying JavaScript/TypeScript applications. Reach for Bun when you need to run scripts, manage dependencies, bundle code, or test applications with a single unified tool.

  • gh-commit

    Create well-formatted commits with conventional commit format.

  • gh-create-pr

    Commit unstaged changes, push changes, submit a pull request.

  • gh-stack

    Manage stacked branches and pull requests with the gh-stack GitHub CLI extension. Use when the user wants to create, push, rebase, sync, navigate, or view stacks of dependent PRs. Triggers on tasks involving stacked diffs, dependent pull requests, branch chains, or incremental code review workflows.

  • prek

    Use when setting up or running hooks with prek in any repository. prek is a Rust drop-in alternative to pre-commit for running Git hooks that check, format, lint, and validate code and repository files. Prefer it when speed, workspace mode, built-in hooks, shared toolchains, or native TOML configura

  • typescript-advanced-types

    Master TypeScript's advanced type system including generics, conditional types, mapped types, template literals, and utility types for building type-safe applications. Use when implementing complex type logic, creating reusable type utilities, or ensuring compile-time type safety in TypeScript proje

  • typescript-expert

    TypeScript and JavaScript expert with deep knowledge of type-level programming, performance optimization, monorepo management, migration strategies, and modern tooling.

  • intercom

    Streamline session-to-session coordination with the intercom extension. Send messages, delegate tasks, and coordinate work across multiple atomic sessions on the same machine. Use for planner-worker workflows, cross-session context sharing, and real-time collaboration between sessions.

  • agent-browser

    Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form

  • cua-driver

    Drive a native GUI app (macOS, Windows, Linux) via the cua-driver CLI (default) or MCP server; snapshot its accessibility tree, act through snapshot-bound element tokens, native menu paths, exact window geometry, or pixel coordinates, and verify from fresh state. Use when the user asks you to operat

  • feedback

    Draft, revise and post privacy-scrubbed Atomic bug reports or enhancements through ordinary conversation.

  • herdr

    Control Herdr, a terminal multiplexer for coding agents. Use only when the user explicitly mentions Herdr or asks to use Herdr to inspect or control panes, tabs, workspaces, commands, or another agent. Do not use merely because a task could benefit from a background terminal, delegation, or parallel

  • liteparse

    Use this skill whenever a task involves a document file (PDF, DOCX, PPTX, XLSX, or image) and you need to read it or pull text, tables, or specific values out of it — to answer a question about its contents, look up a figure, or extract data. Provides fast, local, model-free extraction via the `lit`

  • qlty

    Code quality checks, formatting, and metrics via qlty CLI. Use when asked to verify code quality, add or run verifiers, lint or format code, measure complexity, or find code smells. Includes environment-aware setup and manual offline configuration when qlty is missing or installation is restricted.

  • subagent

    Delegate work to builtin or custom subagents with single-agent, parallel, forked-context, and intercom-coordinated runs. Use for bounded specialist delegation where a single parent agent stays in control while subagents contribute locate, analyze, pattern-find, research, debug, or simplify passes.

  • tdd

    Test-driven development with red-green-refactor loop, plus a value gate and audit workflow for tests. Use when user wants to build features or fix bugs using TDD, mentions "red-green-refactor", wants integration tests, asks for test-first development, or asks to review, audit, prune, or clean up low

  • tmux

    Control tmux-compatible sessions/windows/panes for interactive CLIs: list, capture output, send keys, paste text, monitor prompts.

  • bro

    Restate the last message in plain human language, with no jargon.

  • create-spec

    Create a detailed execution plan/spec/PRD for implementing features or refactors in a codebase, designed around the program's entrypoints, the doors that carry domain intent, by leveraging existing research in the codebase.

  • how

    Use for \"how does X work\", code walkthroughs before changing something, and placement / ownership / layering questions (\"where should this live\", \"which package owns this\", \"is this the right layer\"). Explains subsystem architecture, runtime flow, onboarding mental models. Can critique archi

  • impeccable

    Use when the user wants to design, redesign, shape, critique, audit, polish, clarify, distill, harden, optimize, adapt, animate, colorize, extract, or otherwise improve a frontend interface. Covers websites, landing pages, dashboards, product UI, app shells, components, forms, settings, onboarding,

  • prompt-engineer

    Write, evaluate, migrate, or troubleshoot prompts for GPT and Claude models.

  • research-codebase

    Document codebase as-is with research directory for historical context.

  • show-me

    Help the user understand the current topic visually with concise diagrams, code-shape sketches, and focused HTML artifacts.

  • skill-creator

    Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better t

  • teach

    Explain a body of work plainly so a person actually understands it. Runs the `how` and `why` skills and weaves what they find into one clear explanation. Use for 'teach me this', 'help me really understand X', 'explain this change or subsystem to me'.

  • unslop

    Cut AI tells from any writing. Must always apply.

  • why

    Use for 'why does X work this way', 'why we picked Y', design rationale, regressions, postmortems, or data-backed thresholds. Discovers available MCPs and queries each evidence category (source control, issue tracker, long-form docs, real-time chat, infrastructure observability, error tracking, prod

View source on GitHub

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