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SkillsMP a collecté 1 566 skills depuis yanacuti1121/Yana-AI. Ouvrez un skill pour examiner sa source et ses détails.
yanacuti1121/Yana-AIAffichage de 40 skills collectés sur 1 566.
MiroFish — Swarm Intelligence Engine: upload seed data → simulate thousands of agents → predict future trajectories. GraphRAG + multi-agent simulation + interactive chat.
Langue du texte source : vietnamien
Set up 9Router as a local AI gateway so coding agents never stop when a provider quota runs out — one OpenAI-compatible endpoint (localhost:20128) fanning out to 40+ providers with automatic fallback. Use when asked to 'set up 9router', 'cài 9router', 'hết…
Langue du texte source : vietnamien
Agent-to-Agent (A2A) protocol — Google 2025, 150+ org backing. Agent Cards discovery, task lifecycle (submitted→working→completed), artifacts (text/structured/video), opaque task model. MCP vs A2A split. Auth: bearer/mTLS/signed. Sources:…
Langue du texte source : anglais
Audit UI code for WCAG 2.1 AA compliance — color contrast, keyboard navigation, ARIA roles, focus management, and screen reader compatibility. Use when the user asks to "check accessibility", "make this accessible", "WCAG audit", "a11y review", or before…
Langue du texte source : anglais
Create forensically sound bit-for-bit disk images using dd and dcfldd while preserving evidence integrity through hash verification.
Langue du texte source : anglais
Guides stable API and interface design. Use when designing APIs, module boundaries, or any public interface. Use when creating REST or GraphQL endpoints, defining type contracts between modules, or establishing boundaries between frontend and backend.
Langue du texte source : anglais
Tests in real browsers via Chrome DevTools MCP. Use when building or debugging anything that runs in a browser. Use when you need to inspect the DOM, capture console errors, analyze network requests, profile performance, or verify visual output with real…
Langue du texte source : anglais
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.
Langue du texte source : anglais
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.
Langue du texte source : anglais
Simplifies code for clarity. Use when refactoring code for clarity without changing behavior. Use when code works but is harder to read, maintain, or extend than it should be. Use when reviewing code that has accumulated unnecessary complexity.
Langue du texte source : anglais
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.
Langue du texte source : anglais
Guides systematic root-cause debugging. Use when tests fail, builds break, behavior doesn't match expectations, or you encounter any unexpected error. Use when you need a systematic approach to finding and fixing the root cause rather than guessing.
Langue du texte source : anglais
Manages deprecation and migration. Use when removing old systems, APIs, or features. Use when migrating users from one implementation to another. Use when deciding whether to maintain or sunset existing code.
Langue du texte source : anglais
Records decisions and documentation. Use when making architectural decisions, changing public APIs, shipping features, or when you need to record context that future engineers and agents will need to understand the codebase.
Langue du texte source : anglais
Subjects every non-trivial decision to a fresh-context adversarial review before it stands. Use when correctness matters more than speed, when working in unfamiliar code, when stakes are high (production, security-sensitive logic, irreversible operations), or…
Langue du texte source : anglais
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.
Langue du texte source : anglais
Structures git workflow practices. Use when making any code change. Use when committing, branching, resolving conflicts, or when you need to organize work across multiple parallel streams.
Langue du texte source : anglais
Refines raw ideas into sharp, actionable concepts through structured divergent and convergent thinking. Use when an idea is still vague, when you need to stress-test assumptions before committing to a plan, or when you want to expand options before converging…
Langue du texte source : anglais
Delivers changes incrementally. Use when implementing any feature or change that touches more than one file. Use when you're about to write a large amount of code at once, or when a task feels too big to land in one step.
Langue du texte source : anglais
Extracts what the user actually wants instead of what they think they should want. Achieves this through one-question-at-a-time interview until ~95% confidence about the underlying intent. Use when an ask is underspecified ("build me X" without "for whom" or…
Langue du texte source : anglais
Optimizes application performance. Use when performance requirements exist, when you suspect performance regressions, or when Core Web Vitals or load times need improvement. Use when profiling reveals bottlenecks that need fixing.
Langue du texte source : anglais
Breaks work into ordered tasks. Use when you have a spec or clear requirements and need to break work into implementable tasks. Use when a task feels too large to start, when you need to estimate scope, or when parallel work is possible.
Langue du texte source : anglais
Hardens code against vulnerabilities. Use when handling user input, authentication, data storage, or external integrations. Use when building any feature that accepts untrusted data, manages user sessions, or interacts with third-party services.
Langue du texte source : anglais
Prepares production launches. Use when preparing to deploy to production. Use when you need a pre-launch checklist, when setting up monitoring, when planning a staged rollout, or when you need a rollback strategy.
Langue du texte source : anglais
Grounds every implementation decision in official documentation. Use when you want authoritative, source-cited code free from outdated patterns. Use when building with any framework or library where correctness matters.
Langue du texte source : anglais
Creates specs before coding. Use when starting a new project, feature, or significant change and no specification exists yet. Use when requirements are unclear, ambiguous, or only exist as a vague idea.
Langue du texte source : anglais
Drives development with tests. Use when implementing any logic, fixing any bug, or changing any behavior. Use when you need to prove that code works, when a bug report arrives, or when you're about to modify existing functionality.
Langue du texte source : anglais
Discovers and invokes agent skills. Use when starting a session or when you need to discover which skill applies to the current task. This is the meta-skill that governs how all other skills are discovered and invoked.
Langue du texte source : anglais
Write and maintain Architecture Decision Records (ADRs) — when to write one, the standard format, status lifecycle, how to link related decisions, and how to surface ADRs in a codebase. Use when asked to "write an ADR", "document this decision", "architecture…
Langue du texte source : anglais
Lock a specific visual aesthetic before building UI — choose one of 8 design anchors (Swiss, Industrial, Brutalist, Aurora Maximalism, Chaotic Maximalism, Retro-Futuristic, Organic, Lo-Fi) and apply its palette, typography, and texture tokens consistently…
Langue du texte source : anglais
Harness-native operator system cho agentic work — skills, instincts, memory optimization, security scanning, cross-harness workflows. 205K stars.
Langue du texte source : anglais
Use when asked to set up AI agent templates with coordinator mode, implement persistent agent memory, compress context for long-running agents, build multi-agent workflows with skills/agents/workflows structure, or use the .agents/ folder convention for…
Langue du texte source : vietnamien
Library of 232 AI agent personalities across 16 business divisions — Engineering, Design, Sales, Marketing, Security, Finance, Game Dev, GIS, Academic and more. Platform-agnostic (Claude Code, Cursor, Copilot, Windsurf, Aider, Gemini CLI). Triggers on:…
Langue du texte source : vietnamien
Attack surface mapping for LLM agent systems. Threat model, blast radius calculation, entry points, trust boundaries, lateral movement paths, and MITRE ATLAS techniques for AI agents. Sources: MITRE/ATLAS, OWASP LLM Top 10, microsoft/promptbench,…
Langue du texte source : anglais
Agent memory system security — poisoning prevention, L1/L2 integrity, context window attacks, memory exfiltration defense, and session isolation. Sources: anthropic/model-spec (minimal footprint), OWASP LLM01/LLM02, langchain-ai/langchain (memory modules),…
Langue du texte source : anglais
Intercept-layer skill for wrapping all agent tool calls through a sanitize-mutate-execute proxy pipeline. Onion middleware composition (koa), request/response interceptors (axios), scope-aware handler chains (express), near-zero-latency proxy routing (caddy),…
Langue du texte source : anglais
Use when an agent needs to read the internet without paid API keys — Twitter/X, Reddit, YouTube, Bilibili, GitHub, TikTok, Xiaohongshu, RSS, web pages. Triggers on: 'agent-reach', 'agent đọc internet', 'đọc Twitter không API', 'đọc Reddit không API', 'agent…
Langue du texte source : vietnamien
Design safe AI agent systems — capability restriction, sandboxed execution, human-in-the-loop gates, anomaly detection, rollback on unexpected behavior, blast radius limiting, and output verification before acting. Use when asked about "agent safety", "safe…
Langue du texte source : anglais
Telemetry and observability patterns for AI agent systems. Structured multi-transport logging, OpenTelemetry traces/spans through action gates, crash diagnostics, ultra-low-overhead logging, and percentile latency metrics. Sources: winstonjs/winston,…
Langue du texte source : anglais
Deterministic verification gate for agent task close-out. Reads scope contract, rule report, feedback log, and diff — emits a single verification_report.json verdict. Block-severity failures cannot be overridden by the agent. Sources:…
Langue du texte source : anglais