Skill Claude CodeCodex
Use when evaluating prompts, LLM outputs, red-team suites, or model behavior with local eval configs and safe provider/cost controls.
Curated power-ups for coding agents: skills, slash commands, MCP configs, hooks, AGENTS.md templates, and workflows for serious software engineering. Claude Code, Codex, Antigravity CLI, Cursor and more
Skill Claude CodeCodex
Use when evaluating prompts, LLM outputs, red-team suites, or model behavior with local eval configs and safe provider/cost controls.
Skill Claude CodeCodex
Use when creating or reviewing red-team eval plugins, attack templates, grader rubrics, safety fixtures, or model-risk test metadata.
Skill Claude CodeCodex
Use when designing, running, debugging, or hardening deterministic eval suites for agent skills, prompts, tool workflows, or MCP-backed cases.
Skill Claude CodeCodex
Use when designing tool definitions for a new agent or subagent, an agent shows high retry rates, ambiguous tool invocations, or silent failures, or an existing agent harness needs a quality review.
Skill Claude CodeCodex
Use when routing a prompt to a local provider CLI for a second opinion, review, or plan -- you are about to call a provider directly, need the response saved for later, or want a single consistent way to invoke codex/gemini/claude.
Skill Claude CodeCodex
Use when starting work in an unfamiliar area of a codebase, spawning a subagent that needs targeted file context, a first search pass missed the relevant file, or the file scope of a task is unclear.
Skill Claude CodeCodex
Use when selecting a model for a new task or subagent, deciding whether to escalate after a failed attempt, or designing a multi-agent pipeline with mixed task complexity.
Skill Claude CodeCodex
Use when a request needs parallel external perspectives — combined backend and UI work, code review from multiple angles, or cross-validation where different models may disagree.
Skill Claude CodeCodex
Use when querying, ingesting, or maintaining a local RAG MCP corpus for semantic document retrieval with privacy controls.
Skill Claude CodeCodex
Use when connecting to a managed codebase-context MCP/session service, checking stale maps, or safely using MCP-provided repository context.
Skill Claude CodeCodex
Use when about to add a new helper, utility, or abstraction, a task sounds like a solved problem, a new external dependency is being considered, or custom code is proposed without checking what already exists.
Skill Claude CodeCodex
Use when designing or using MCP-backed structured code search with search, AST query, symbol inventory, and bounded extraction workflows.
Skill Claude CodeCodex
Use when a working code path feels bloated, noisy, or over-abstracted, when asked to clean up or deslop AI-generated code, or when a reviewer-only anti-slop pass is requested.
Skill Claude CodeCodex
Use when a codebase carries over-engineered abstractions, unnecessary layers, or redundant logic that should be collapsed without changing behavior.
Skill Claude CodeCodex
Use when unused functions, classes, exports, or files need to be identified and safely deleted.
Skill Claude CodeCodex
Use when package manifests carry unused or redundant third-party dependencies that slow builds, widen the security surface, or complicate updates.
Skill Claude CodeCodex
Use when migrating APIs, libraries, or patterns across a large codebase and a single mega-commit would be too risky to review or merge.
Skill Claude CodeCodex
Use when naming conventions or file structure drift across a project and need to be made consistent without changing business logic.
Skill Claude CodeCodex
Use when code needs restructuring without changing observable behavior.
Skill Claude CodeCodex
Use when code needs restructuring and observable behavior must stay unchanged, with existing tests kept green at every step.
Skill Claude CodeCodex
Use when a release spans multiple systems or vendors, order of operations matters with rollback planned up front, or a failed step in one system could corrupt state in a downstream system.
Skill Claude CodeCodex
Use when reviewing BigQuery spend, query failure patterns, or scan inefficiencies -- identifying which jobs, users, or projects drive cost, or preparing optimization recommendations for a cost review.