Rules-as-data linter-driven development workflow for Python: the Go plugin's 12 rules, thin directional skills and hunter/skeptic/critic review, rendered with Python knowledge — ruff and ty routing, pytest, dataclasses and Protocols, threads and asyncio, docstrings
8 on GitHubby Dan Mordechayv0.6.0Apache-2.0updated 3 days ago
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Plugin python-linter-driven-development from marketplace weka-ldd in weka/linter-driven-development. Commands read from the repo's manifest — 2 days ago.
What it installs
Skills (7)
code-designing
FORWARD view over rules/ — domain type design and architectural planning for Python code BEFORE it exists. Use when planning new features, designing self-validating types, preventing primitive obsession, or when refactoring reveals need for new types. Dispatches into the Design guidance sections of
documentation
The repo-brain author/maintainer: writes behavior-focused documentation and wires it into the documentation network defined by rules/R9-repo-brain.md. FEATURE mode (default): after feature implementation or bug fixes — invoked by @linter-driven-development (Phase 5) — to document HOW THE PRODUCT BEH
lint-setup
Compares the Python linter setup of this repository with the LDD recommended setup, and agrees a tighter setup with the user before any edit. WHEN: the user asks to compare, align or set up the Python linter config with the LDD recommended setup, or runs /py-ldd-setup. Shows, per rule, the recommend
linter-driven-development
META ORCHESTRATOR for any Python code change that should end in a commit (features, bug fixes, refactors). WHEN: User requests Python code work (implement, fix, add, refactor), mentions "@ldd"/"ldd", or runs a /py-ldd-* command in a Python project. Runs the five-phase workflow (PREPARE is an autonom
pre-commit-review
ADVISORY pre-commit review that orchestrates four parallel rule-family hunters, an over-abstraction skeptic, and a comment critic against the diff. Spawns read-only agents (rule-hunter, overabstraction-skeptic, comment-critic); NEVER edits code. Invoked by @linter-driven-development (Phase 4), by @r
refactoring
BACKWARD view over rules/ — routes linter and review failures to the rule whose Fix pattern owns the repair. Use when linter fails with complexity issues (cyclomatic, cognitive, maintainability) or when code feels hard to read/maintain. Also the skill for removing a `# noqa` directive or a package-l
testing
Use when creating leaf types, after refactoring, during implementation, or when testing advice is needed. Automatically invoked to write tests for new types, or use as testing expert advisor. Covers the composition ladder from rung-0 unit tests to whole-system tests, with emphasis on real in-memory
Slash commands (8)
/python-linter-driven-development:py-ldd-analyze
Run quality analysis only - tests + plain lint + hunter/skeptic review, combined report, no auto-fix
Preparatory refactoring — reshape the code a planned change will touch, so the feature lands add-only
/python-linter-driven-development:py-ldd-quickfix
Fix what is in scope — the files you are working on — through the quality gates (tests + lint + review → fix → repeat) until green
/python-linter-driven-development:py-ldd-review
Advisory review of the code in scope before a commit (hunters + skeptic report; no tests, no lint, no auto-fix)
/python-linter-driven-development:py-ldd-setup
Compare the linter setup with the LDD recommended setup, agree a tighter setup per rule, and edit only after you agree to the plan
/python-linter-driven-development:py-ldd-status
Show current workflow status and progress
/python-linter-driven-development:wire-repo-brain
Wire the full documentation network in one pass — code comments → docs → index.md → CLAUDE.md
Subagents (4)
comment-critic
WHEN: Spawned programmatically by the documentation skill (after it writes docstrings and feature docs) and by the pre-commit-review skill (when the diff contains comment lines), receiving the paths of its doctrine — R9's comment policy section and the Comment Value Toolbox catalog — in the spawn pr
lint-fixer
WHEN: Spawned programmatically by the linter-driven-development skill in Phase 3 to run the lint-fix loop in an isolated context, keeping the loop's token noise out of the main conversation. Not auto-triggered by user requests. Fixes mechanical lint issues; escalates complexity/design failures with
overabstraction-skeptic
WHEN: Spawned programmatically by the pre-commit-review skill after hunters report, receiving the type/package-extraction findings plus the paths of its doctrine (R1's juiciness scorecard and the CIDR over-abstraction case file) in the spawn prompt, read in its first turn. Not auto-triggered by user
rule-hunter
WHEN: Spawned programmatically by the pre-commit-review skill — one hunter per rule family (up to four), in parallel — with the paths of that family's rule files (rules/R*.md), the path of the scope bundle and the family's rows of the detection pass's hits and counts tables in the spawn prompt; the
Rules-as-data linter-driven development workflow for Go: 12 single-source rule files, thin directional skills (design, TDD implementation, refactoring, testing, review, documentation), and a hunter/skeptic/critic review architecture with parallel single-rule reviewers, an over-abstraction skeptic, and a comment critic enforcing the Comment Value Toolbox
Rules-as-data linter-driven development workflow for any language: the Go plugin's 12 rules, thin directional skills and hunter/skeptic/critic review, with the language detected from the repository at run time and its own linter run instead of a bundled one
Rules-as-data linter-driven development workflow for TypeScript + React: the Go plugin's 12 rules, thin directional skills and hunter/skeptic/critic review, rendered with TypeScript and React knowledge — ESLint and SonarJS routing, Vitest with React Testing Library and MSW, discriminated unions and readonly types, effects and query ownership, JSDoc
Generate natively editable PPTX from PDF / DOCX / URL / Markdown — real DrawingML shapes, text boxes, charts, and animations. Note: run `pip install -r requirements.txt` inside the installed plugin directory for the Python post-processing scripts to work.
Web scraping, Google search, structured data extraction, and MCP server integration powered by Bright Data. Includes 7 skills: scrape any webpage as markdown (with bot detection/CAPTCHA bypass), search Google with structured JSON results, extract data from 40+ websites (Amazon, LinkedIn, Instagram, TikTok, YouTube, and more), orchestrate Bright Data's 60+ MCP tools, built-in best practices for Web Unlocker, SERP API, Web Scraper API, and Browser API, Python SDK best practices for the brightda...
Web scraping, Google search, structured data extraction, and MCP server integration powered by Bright Data. Includes 7 skills: scrape any webpage as markdown (with bot detection/CAPTCHA bypass), search Google with structured JSON results, extract data from 40+ websites (Amazon, LinkedIn, Instagram, TikTok, YouTube, and more), orchestrate Bright Data's 60+ MCP tools, built-in best practices for Web Unlocker, SERP API, Web Scraper API, and Browser API, Python SDK best practices for the brightda...
21 skills
anthropics/knowledge-work-plugins 35,601
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