Catalog
All AI skills
75 skills. Every one is readable here; downloads and live use need a subscription.
pre-ship-gate
A ship gate that runs before any production deploy: checks the silent failure modes that make a deploy 'succeed' while prod stays broken, then verifies the live revision instead of trusting deploy output.
crossframe-review
Use when explicit CrossFrame output needs review for reasoning fidelity, evidence boundaries, source anchors, concept drift, article collapse, or repair steps.
dos-verify-done-claims
Before accepting an agent's 'done / shipped / fixed' claim, verify it against ground truth (git ancestry + the commit's own diff) using the DOS kernel's `dos verify` and `dos commit-audit` — never the agent's own narration.
clarity-gate
Pre-ingestion verification for epistemic quality in RAG systems. Ensures documents are properly qualified before entering knowledge bases. Produces CGD (Clarity-Gated Documents) and validates SOT (Source of Truth) files.
case-review
Quality-gate review of a reverse-engineering or assessment case package: scope readiness, Evidence-to-Finding-to-Path traceability, work-item coverage, timeline consistency, and artifact hashes.
create-issue-gate
Use when starting a new implementation task and an issue must be created with strict acceptance criteria gating before execution.
edr-bypass-re
Reverse engineer EDR internals (user-mode hook tables, ETW, AMSI) and study bypass techniques such as direct syscalls, Hell's Gate, and call-stack spoofing. Lab-only red-team research.
frontend-lighthouse
Add a portable Lighthouse CI gate for production frontend builds with Core Web Vitals budgets, category floors, median runs, and CI artifacts.
code-review-and-quality
Conducts multi-axis code review. Use before merging any change. Use when reviewing code written by yourself, another agent, or a human. Use when you need to assess code quality across multiple dimensions before it enters the main branch.
data-quality-frameworks
Implement data quality validation with Great Expectations, dbt tests, and data contracts. Use when building data quality pipelines, implementing validation rules, or establishing data contracts.
quality-nonconformance
Codified expertise for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing.
seo-aeo-content-quality-auditor
Audits content for SEO and AEO performance with scored reports, severity-ranked fix lists, and projected scores after fixes. Activate when the user wants to audit, review, or score content for SEO or AEO compliance.
advanced-evaluation
This skill should be used when the user asks to "implement LLM-as-judge", "compare model outputs", "create evaluation rubrics", "mitigate evaluation bias", or mentions direct scoring, pairwise comparison, position bias, evaluation pipelines, or automated quality assessment.
agentflow
Orchestrate autonomous AI development pipelines through your Kanban board (Asana, GitHub Projects, Linear). Manages multi-worker Claude Code dispatch, deterministic quality gates, adversarial review, per-task cost tracking, and crash-proof pipeline execution.
apify-audience-analysis
Understand audience demographics, preferences, behavior patterns, and engagement quality across Facebook, Instagram, YouTube, and TikTok.
babysit-pr
Babysit a pull request through its bot review rounds: verify, fix, reply, resolve. Use for any babysit or watch-the-PR ask.
brooks-sweep
Full-sweep mode: runs a unified analysis across all quality dimensions — code decay, architecture, tech debt, and test quality — then applies fixes directly to the codebase. Safe changes are auto-applied; risky changes are confirmed before execution.
brooks-test
Review test-suite quality using established testing literature; identify brittleness, mock abuse, unclear fixtures, weak assertions, slow feedback, and maintenance risks.
ci-cd-and-automation
Automates CI/CD pipeline setup. Use when setting up or modifying build and deployment pipelines. Use when you need to automate quality gates, configure test runners in CI, or establish deployment strategies.
cicd-automation-workflow-automate
You are a workflow automation expert specializing in creating efficient CI/CD pipelines, GitHub Actions workflows, and automated development processes. Design and implement automation that reduces manual work, improves consistency, and accelerates delivery while maintaining quality and security.
clarvia-aeo-check
Score any MCP server, API, or CLI for agent-readiness using Clarvia AEO (Agent Experience Optimization). Search 15,400+ indexed tools before adding them to your workflow.
clean-code
This skill embodies the principles of "Clean Code" by Robert C. Martin (Uncle Bob). Use it to transform "code that works" into "code that is clean."
code-refactoring-refactor-clean
You are a code refactoring expert specializing in clean code principles, SOLID design patterns, and modern software engineering best practices. Analyze and refactor the provided code to improve its quality, maintainability, and performance.
code-review-checklist
Comprehensive checklist for conducting thorough code reviews covering functionality, security, performance, and maintainability
codebase-cleanup-refactor-clean
You are a code refactoring expert specializing in clean code principles, SOLID design patterns, and modern software engineering best practices. Analyze and refactor the provided code to improve its quality, maintainability, and performance.
codebase-cleanup-tech-debt
Identify technical debt from actual code and change history, estimate its impact, and prioritize bounded improvements with explicit assumptions.
codex-review
Professional code review with auto CHANGELOG generation, integrated with Codex AI. Use when you want professional code review before commits, you need automatic CHANGELOG generation, or reviewing large-scale refactoring.
comprehensive-review-full-review
Use when working with comprehensive review full review
comprehensive-review-pr-enhance
Generate structured PR descriptions from diffs, add review checklists, risk assessments, and test coverage summaries. Use when the user says "write a PR description", "improve this PR", "summarize my changes", "PR review", "pull request", or asks to document a diff for reviewers.
context-engineering
Optimizes agent context setup. Use when starting a new session, when agent output quality degrades, when switching between tasks, or when you need to configure rules files and context for a project.
daily-news-report
Scrapes content based on a preset URL list, filters high-quality technical information, and generates daily Markdown reports.
debate-review
Two-model debate review of a GitHub PR, GitLab MR, Azure DevOps PR, or local working tree, posted as inline comments or printed. Use for any PR/MR review request, or a local review before a PR exists.
effective-agent-skills
Author and review high-quality agent skills with triggers, progressive disclosure, and safety notes.
find-bugs
Find bugs, security vulnerabilities, and code quality issues in local branch changes. Use when asked to review changes, find bugs, security review, or audit code on the current branch.
frontend-ui-engineering
Builds production-quality UIs. Use when building or modifying user-facing interfaces. Use when creating components, implementing layouts, managing state, or when the output needs to look and feel production-quality rather than AI-generated.
full-output-enforcement
Use when a task requires exhaustive unabridged output, complete files, or strict prevention of placeholders and skipped code.
git-hooks-automation
Master Git hooks setup with Husky, lint-staged, pre-commit framework, and commitlint. Automate code quality gates, formatting, linting, and commit message enforcement before code reaches CI.
git-pr-workflows-pr-enhance
You are a PR optimization expert specializing in creating high-quality pull requests that facilitate efficient code reviews. Generate comprehensive PR descriptions, automate review processes, and ensu
kaizen
Guide for continuous improvement, error proofing, and standardization. Use this skill when the user wants to improve code quality, refactor, or discuss process improvements.
llm-prompt-optimizer
Use when improving prompts for any LLM. Applies proven prompt engineering techniques to boost output quality, reduce hallucinations, and cut token usage.
makepad-reference
This category provides reference materials for debugging, code quality, and advanced layout patterns.
mcp-builder
Create MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. The quality of an MCP server is measured by how well it enables LLMs to accomplish real-world tasks.
monte-carlo-remediation
Investigate and remediate data quality alerts using Monte Carlo MCP tools. Runs root cause analysis, assesses blast radius, discovers available tools (MCP/CLI/API), proposes and executes fixes, or escalates with full context when uncertain.
multi-agent-task-orchestrator
Route tasks to specialized AI agents with anti-duplication, quality gates, and 30-minute heartbeat monitoring
pptx-deck-creation
Create editable, production-ready PPTX decks with narrative planning, explicit layout specs, asset guidance, and quality checks.
production-code-audit
Autonomously deep-scan entire codebase line-by-line, understand architecture and patterns, then systematically transform it to production-grade, corporate-level professional quality with optimizations
repo-maintainer
Audit and repair repository hygiene across artifacts, dependencies, CI, docs, Git state, and code-quality signals. Use for repository maintenance, cleanup, health checks, or pre-release hardening.