By it-bens
Enforces Opus model for the Explore subagent. Maximum accuracy for codebase exploration.
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npx claudepluginhub it-bens/ai-tools --plugin explore-with-opus-enforcerOne-time setup skill that explores a project's codebase, drafts project-specific extension content conversationally, and writes the per-skill extension files for the software-writer plugin's writing-code, writing-tests, and writing-docs skills (delivery on Claude Code ships with software-writer 2.x; Codex delivery via AGENTS.override.md). Includes a re-sync mode that audits existing extension files for drift and migrates v1 hook-contexts setups. Long plugin and skill names are intentional to prevent accidental invocation.
Three universal, opinionated skills for writing software: writing-code (API-consultation gate, dependency shape, stack footgun check, two-tier comment policy), writing-tests (classicist behavior-first workflow with stack-specific idioms), and writing-docs (single-owner surfaces, pointer-file discipline, anti-slop validation via the human-author:ai-slop-writing-fixer subagent). Each skill is extendable at every step via Pre-Step-N / Post-Step-N positions and via recognized named configuration values; the plugin ships hooks that deliver a project's extension files (.claude/extensions/software-writer/) wrapped in a structural envelope.
Orchestrate implementation and review work through dispatched workers — Codex CLI (GPT-5.6) and Claude subagents — with a task-strategy workflow, model routing, fenced write scopes, and independent two-worker verification
Enforces Sonnet model for the Plan subagent. Ensures thorough architectural reasoning during plan mode.
Debug AI tooling behavior by analyzing output against source instructions and enabling honest self-diagnosis.
Helps Claude read a planning document and explore related files to get familiar with a topic. Asking Claude to prepare to discuss seems to work better than asking it to prepare to do specific work. This is followed by Plan, then Execute.
Give Claude Code a second opinion using OpenAI Codex - automatic plan review via hooks
Prompt engineering techniques for accurate, grounded Claude responses — anti-hallucination workflow with citation-backed analysis
Complete collection of battle-tested Claude Code configs from an Anthropic hackathon winner - agents, skills, hooks, and rules evolved over 10+ months of intensive daily use
Lazy senior dev mode. Forces the simplest, shortest solution that actually works: YAGNI, stdlib first, no unrequested abstractions.
Evidence-gated AI coding workflow: scan → analyze → plan → TDD → execute → fix → verify → review, powered by Codebase Memory MCP >= 0.9.0 with optional Serena LSP intelligence. Includes blast-radius planning, test/cycle gates, independent review, and Windows Git Bash hook auto-resolution.