1ai-skills

Enforce staged execution discipline on large tasks: written stage plan, parallel sub-agent delegation, failable verification at each stage, and skeptical self-review before delivery. Use when tasks span multiple files, multiple sources, or multiple sessions. Also triggers on "do this thoroughly", "be systematic", "deep work mode", "be thorough".

Write production-quality code from specs — reads requirements, researches patterns, implements with tests, and iterates until verification passes. Use when implementing features, fixing bugs with known root causes, or building new modules.

Ship code to production through a controlled pipeline with verification gates and rollback plans. Use when deploying features, managing CI/CD, running database migrations, or performing post-incident hotfix recovery.

Investigate topics deeply with cross-referenced sources and produce evidence-backed findings. Use when evaluating technologies before adoption, analyzing competitors, or investigating bug root causes across docs and issues.

Read code changes with adversarial intent to find bugs, security holes, logic errors, and performance traps. Use when reviewing PRs, auditing refactoring for regressions, or running pre-deploy safety checks.

Detect and fix code style violations, enforce project conventions, and ensure consistent formatting across the codebase. Use when cleaning lint errors before PRs, migrating linters, or bulk-applying new rules.

Measure before optimizing, target actual bottlenecks proven by profiling, and verify improvements with benchmarks. Use when the app is slow, memory is leaking, queries lag, or costs need reducing.

Restructure code to improve readability, maintainability, and extensibility without changing external behavior. Use when reducing complexity, extracting reusable components, splitting monoliths, or modernizing legacy code.

Write comprehensive test suites covering happy paths, error paths, edge cases, and integration points. Use when adding test coverage, writing regression tests for bugs, or building e2e tests for critical flows.

Produce structured understanding of unfamiliar codebases — architecture, data flows, dependencies, and conventions. Use when joining a new project, tracing feature implementations, or mapping system architecture.

Manage context flow across spawned subagents, parallelize work in git worktrees, scale from 1 to N agents, and evaluate agent output with grading systems. Use when spawning subagents that need codebase context.

Autonomous crypto intelligence agent for Moltbook — blockchain analysis, social sentiment tracking, and real-time alpha detection. Use when working with clawild moltbook.

Make.com scenario automation — modules, routes, filters, error handlers, data stores, webhooks. Use when working with make scenarios.

n8n workflow automation — nodes, triggers, expressions, credentials, webhooks, error handling. Use when working with n8n workflows.

Pipedream serverless workflows — triggers, code steps, pre-built actions, data stores, HTTP. Use when working with pipedream workflows.

Multi-platform social media posting, scheduling, analytics, and media management via PostBridge API for TikTok, Instagram, X, LinkedIn, and Facebook. Use when working with postbridge social manager.

Zapier automation patterns — triggers, actions, filters, formatters, paths, code steps. Use when working with zapier patterns.

Anti-slop frontend framework for AI agents. Enforces better layout, typography, motion, and spacing to counter generic AI-generated boilerplate UIs. Use when building frontend, countering generic AI UIs, need distinctive visual design, image-to-code pipeline.

Use when generating professional posed product images for e-commerce using Gemini AI with optimized prompts

Use when removing AI writing痕迹 from Chinese text to make it sound more natural and human-written.

Radix UI headless primitives — accessible, unstyled React components for dialogs, dropdowns, tooltips. Use when working with radix primitives.

shadcn/ui component library — copy-paste React components, Tailwind CSS, Radix primitives, theming. Use when working with shadcn ui.

Industry-specific design intelligence — 161 reasoning rules, 99 UX guidelines, 161 color palettes, 57 font pairings, 49 UI styles. Use when building professional UI, need industry-specific design, generating design systems, choosing colors or typography.

Use when creating new skills, editing existing skills, or verifying skills work before deployment

Use when writing documentation optimized for AI agent consumption - SKILL.md files, README files, API docs, or any documentation that will be read by LLMs in context windows.

Agent harness optimization patterns for token efficiency, memory persistence, session management, and cross-harness parity. Use when optimizing agent performance, reducing token costs,.

Agentic security patterns for AI agent systems including attack vector defense, sandboxing, input sanitization, security scanning, CVE awareness, and least-privilege tool access. Use when.

Monitor performance of other skills, identify bottlenecks, suggest improvements, and auto-optimize the skill portfolio. Use when monitoring performance of other skills, identify bottlenecks, suggest improvements, and.

Structured AI engineering curriculum — 382 skills + 99 prompts across 20 phases covering ML, deep learning, LLMs, agents, and production systems. Use when learning AI, building AI skills,.

Manage Cloudflare DNS, CDN, and security rules via API. Use when configuring domains, SSL, WAF, or edge caching.

company-kb — Company Knowledge Base Skill. Use when relevant to this domain.

Build applications using Google Gemini API. Handle chat completions, multimodal inputs, function calling, streaming, and grounding with Google Search. Use when building applications using google gemini api. handle chat completions, multimodal.

Use when deterministically coordinating autonomous planning and execution across available skills under strict guardrails.

Andrej Karpathy's 4 coding principles — think before coding, simplicity first, surgical changes, goal-driven execution. Use when coding, reviewing code quality, reducing overengineering,.

Route AI model requests to the optimal provider based on task, cost, latency, and capability requirements. Manage multi-provider LLM deployments. Use when working with model router.

Automatically detect source types and build AI skills using Skill Seekers. Use when the user wants to create skills from documentation, repos, PDFs, videos, or other knowledge sources.

Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions

Active Directory and Windows domain exploitation for enterprise penetration testing. Use when attacking Windows domains, exploiting AD misconfigurations, or performing lateral movement in enterprise environments.

AI and LLM security testing — prompt injection, model manipulation, data exfiltration via AI. Use when testing AI-powered applications, finding prompt injection vulnerabilities, or assessing LLM-integrated systems.

Parses API Gateway access logs (AWS API Gateway, Kong, Nginx) to detect BOLA/IDOR attacks, rate limit bypass, credential scanning, and injection attempts. Uses pandas for statistical analysis of request patterns and anomaly detection. Use when investigating API abuse or building API-specific threat detection rules.