iamladi

Generates a narrative walkthrough of AI-authored code changes. Use after implementation to explain what changed, why, and how it behaves.

Use when the user asks to run Codex CLI (codex exec, codex resume) or references OpenAI Codex for code analysis, refactoring, or automated editing. Resolves the latest flagship model from the model registry.

Evaluate plugin commands, agents, and skills against Anthropic Constitution principles. Score alignment on reasoning-based vs rule-based instruction spectrum, identify improvement opportunities. Use when the user wants to audit, score, or review the quality of a command, agent, or skill — e.g. "review this skill", "audit this command", "is this agent well-written", "score this against constitutional principles", or "check this for rule-based patterns".

Grilling session that challenges a plan against the target repo's existing domain model, sharpens terminology, and updates CONTEXT.md + ADRs inline as decisions crystallise. Invoked by /sdlc:plan at step 3.5 to keep architecture aligned with documented language before the plan is drafted.

Post-merge cleanup workflow. Detects PR merge, switches to main, pulls latest, runs tests, and removes worktree if exists. Use after PR is merged to clean up.

Use when the user asks to run Gemini CLI for code review, plan review, or big context (>200k) processing. Ideal for comprehensive analysis requiring large context windows. Resolves the latest flagship model from the model registry.

Evaluates agent judgment quality through scenario-based testing in-conversation. Use when the user wants to test, validate, or stress-test an agent, skill, or command definition — e.g. "test this agent", "evaluate this skill", "does this prompt handle edge cases", "check this agent's judgment", or after writing or modifying any agent/skill/command .md file.

Interactive skill that diagnoses and transforms system prompts from rule-based to reasoning-based using Constitutional AI principles. Use when the user wants to improve, rewrite, or transform any system prompt, command, agent, or skill — e.g. "improve this prompt", "make this less rigid", "transform this rule-based command", "optimize this agent", or "this skill keeps breaking on edge cases".

Loads the four Karpathy coding-with-AI rails (Think Before Coding, Simplicity First, Surgical Changes, Goal-Driven Execution) as one reference page. Use only when the user explicitly asks for "the rails", "the principles", "Karpathy principles", "Karpathy guidelines", or "how should I work in this repo".

Autonomously optimize any Claude Code skill by running it repeatedly, scoring outputs against binary evals, mutating the prompt, and keeping improvements. Based on Karpathy's autoresearch methodology. Use when: optimize this skill, improve this skill, run autoresearch on, make this skill better, self-improve skill, benchmark skill, eval my skill, run evals on. Outputs: an improved SKILL.md, a results log, and a changelog of every mutation tried.

This skill should be used to remove AI-generated artifacts and unnecessary code before committing. Integrates with desloppify CLI for quantitative scoring and directed fixes. Falls back to LLM-based pattern detection when desloppify is unavailable.

This skill should be used when building AI agents using prompt-native architecture where features are defined in prompts, not code. Use it when creating autonomous agents, designing MCP servers, implementing self-modifying systems, or adopting the "trust the agent's intelligence" philosophy.

Prevent feature creep when building software, apps, and AI-powered products. Use this skill when planning features, reviewing scope, building MVPs, managing backlogs, or when a user says "just one more feature." Helps developers and AI agents stay focused, ship faster, and avoid bloated products.

This skill should be used when solving hard questions, complex architectural problems, or debugging issues that benefit from GPT-5 Pro or GPT-5.1 thinking models with large file context. Use when standard Claude analysis needs deeper reasoning or extended context windows.

Verify which environment variable keys are present in .env files or shell environment without exposing their values. Use when you need to check env configuration or compare keys between .env files.

Audits system prompts and plugin configurations against Anthropic's Constitutional principal hierarchy to identify instructions that conflict with Claude's training, attempt to weaponize Claude against users, violate inalienable user protections, or exceed operator permission boundaries.

Transform any writing into clear, engaging prose. Removes AI patterns, applies Strunk's 18 principles, and adds engagement techniques. Works for technical reports, documentation, emails, social media, and general writing. Use when writing feels flat, verbose, or "AI-generated."

Comprehensive landing page audit against 5 proven persuasion frameworks - Schwartz, Cialdini, Milligan, Warren, and behavioral psychology research. Use when your landing page isn't converting or you want to optimize for higher conversion.

Comprehensive programmatic SEO (pSEO) skill for auditing, architecting, and scaling to 100k+ pages. Covers metadata, schemas, internal linking, content strategy, and Core Web Vitals. Use when planning or auditing SEO at scale.

Write high-converting copy using all 5 persuasion frameworks - Schwartz (awareness/sophistication), Cialdini (7 principles), Milligan (NEW/EASY/SAFE/BIG), Warren (emotional hooks), and behavioral psychology. The master framework for conversion copy.

Validate product-market positioning using Eugene Schwartz's awareness levels and market sophistication stages. Use when launching a product, pivoting positioning, or unsure how to communicate your value proposition.

Create conversion-focused SaaS landing page copy using the PAS framework. Use when writing landing pages, sales pages, or conversion-focused web copy.

Direct response copywriting framework for landing pages, marketing copy, and product descriptions. Use when the user asks to write copy, landing pages, sales pages, or marketing content.

Create distinctive, production-grade terminal user interfaces with high design quality. Use this skill when the user asks to build CLI tools, TUI applications, or terminal-based interfaces. Generates creative, polished code that avoids generic terminal aesthetics.

Autonomous CI fix loop with background monitoring and retry logic. Runs up to 10 fix-commit-push-wait cycles until CI passes or max retries reached.