By michelabboud
Automatically reviews and fixes Claude Code skills through iterative refinement until they meet quality standards. Requires plugin-dev plugin.
Stops, cancels, or aborts the active skill improvement loop while preserving all changes made to skill files. Use to manually stop, cancel, abort, or kill the iteration process early.
Iteratively reviews and fixes a Claude Code skill until it meets quality standards. Triggers on 'fix my skill', 'improve skill quality', 'skill improvement loop'.
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npx claudepluginhub michelabboud/trailofbits-skills --plugin skill-improverAutomated QA sweep for web apps — run /sentinel:run sweep for full browser+API QA, /sentinel:run api for endpoint-only testing, /sentinel:run setup to configure
Automated QA sweep for web apps — run /sentinel:run sweep for full browser+API QA, /sentinel:run api for endpoint-only testing, /sentinel:run setup to configure
Migrate your code and prompts from Sonnet 4.x and Opus 4.1 to Opus 4.5.
Adds educational insights about implementation choices and codebase patterns (mimics the deprecated Explanatory output style)
Interactive learning mode that requests meaningful code contributions at decision points (mimics the unshipped Learning output style)
Lazy senior dev mode. Forces the simplest, shortest solution that actually works: YAGNI, stdlib first, no unrequested abstractions.
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
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.
Consult multiple AI coding agents (Gemini, OpenAI, Grok, Perplexity, plus codex, antigravity, and grok CLIs when installed) to get diverse perspectives on coding problems
Production-grade engineering skills for AI coding agents — covering the full software development lifecycle from spec to ship.
Feature development with code-architect/explorer/reviewer agents, CLAUDE.md audit and session learnings, and Agent Skills creation with eval benchmarking from Anthropic.