Sovereign-grade safety OS for AI coding agents. 62 hooks, 2,025 skills, L1 memory, circuit breakers, and cross-engine enforcement — blocks rm -rf, force push, pipe-to-shell, and 40+ attack vectors before they reach your repo.
yanacuti1121/Yana-AI
SkillsMP has collected 1,566 skills from yanacuti1121/Yana-AI. Open a skill to review its source and details.
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Skills in this repository
Showing 40 of 1,566 collected skills.
Use when the user wants to generate or keep repository documentation up to date via OpenWiki (langchain-ai/openwiki) — an LLM-driven CLI that writes a wiki for a codebase (or a personal knowledge base from Notion/Gmail/Slack/X/web search) and keeps it fresh…
Use when implementing the core AR pipeline (camera pose estimation, marker tracking, projection overlay) from first principles — not when just using ARKit/ARCore/Unity's AR framework as a black box. Triggers on: 'build augmented reality from scratch',…
Use when building a BitTorrent client or any peer-to-peer file-sharing protocol from first principles — not when integrating an existing torrent library. Triggers on: 'build a torrent client', 'implement bittorrent protocol', 'peer wire protocol', 'bencode…
Use when building a chat-platform bot (Discord/Telegram/Slack/Twitter-style) from first principles — the event loop, command routing, and platform API integration, not an LLM agent framework. Triggers on: 'build a discord bot from scratch', 'implement a…
Use when implementing a custom malloc/free-style memory allocator from first principles — not when just using a language's built-in allocator. Triggers on: 'write a malloc implementation', 'build a memory allocator', 'free list allocator', 'buddy allocator',…
Use when designing and simulating a simple CPU/processor from first principles — instruction set design, fetch-decode-execute cycle, a minimal assembler. Not for general low-level programming or existing CPU architecture study. Triggers on: 'design a CPU from…
Use when implementing a text/HTML template engine (lexer, parser, renderer) from first principles — not when just using Handlebars/Jinja/EJS in an app. Triggers on: 'write a template engine', 'build a templating language', 'implement mustache-style…
Use when building a terminal or GUI text editor from first principles — buffer data structures, cursor handling, raw-mode terminal rendering, undo/redo. Not for configuring an existing editor. Triggers on: 'build a text editor', 'implement a text buffer',…
Use when building a voxel (cube-based) world engine from first principles — chunking, mesh generation, terrain generation. Not for general 3D rendering or using an existing voxel engine. Triggers on: 'build a voxel engine', 'minecraft-style world generation',…
How to install and use codebase-memory-mcp — a single-binary MCP server that indexes a codebase into a persistent tree-sitter + Hybrid-LSP knowledge graph (158 languages), answering structural queries (call graph, dead code, HTTP/gRPC/GraphQL route linking,…
YAGNI-first code-minimalism ladder — before writing code, check in order: does this need to exist? already in the codebase? stdlib? native platform feature? installed dependency? one line? Cuts unnecessary code/tokens while never trading away validation,…
Intelligence on leaked/published system prompts from 30+ AI coding tools (Cursor, Windsurf, Claude Code, GitHub Copilot, Devin, v0, Lovable, Replit, Warp) and general chat products (Claude, ChatGPT, Gemini, Grok, Perplexity, Mistral, Notion AI). Use for…
Source text: Mixed languages
Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes — Standards (does the code follow this repo's documented coding standards?) and Spec (does the code match what the originating issue/PRD asked for?). Runs both reviews…
Shared vocabulary for designing deep modules. Use when the user wants to design or improve a module's interface, find deepening opportunities, decide where a seam goes, make code more testable or AI-navigable, or when another skill needs the deep-module…
Diagnosis loop for hard bugs and performance regressions. Use when the user says "diagnose"/"debug this", or reports something broken/throwing/failing/slow.
Build and sharpen a project's domain model. Use when the user wants to pin down domain terminology or a ubiquitous language, record an architectural decision, or when another skill needs to maintain the domain model.
Set up Claude Code hooks to block dangerous git commands (push, reset --hard, clean, branch -D, etc.) before they execute. Use when user wants to prevent destructive git operations, add git safety hooks, or block git push/reset in Claude Code.
A relentless interview to sharpen a plan or design.
A relentless interview to sharpen a plan or design, which also creates docs (ADR's and glossary) as we go.
Grill the user relentlessly about a plan or design. Use when the user wants to stress-test a plan before building, or uses any 'grill' trigger phrases.
Compact the current conversation into a handoff document for another agent to pick up.
Implement a piece of work based on a spec or set of tickets.
Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.
Migrate test files from `as` type assertions to @total-typescript/shoehorn. Use when user mentions shoehorn, wants to replace `as` in tests, or needs partial test data.
Build a throwaway prototype to answer a design question. Use when the user wants to sanity-check whether a state model or logic feels right, or explore what a UI should look like.
Investigate a question against high-trust primary sources and capture the findings as a Markdown file in the repo. Use when the user wants a topic researched, docs or API facts gathered, or reading legwork delegated to a background agent.
Use when you need to resolve an in-progress git merge/rebase conflict.
Create exercise directory structures with sections, problems, solutions, and explainers that pass linting. Use when user wants to scaffold exercises, create exercise stubs, or set up a new course section.
Set up Husky pre-commit hooks with lint-staged (Prettier), type checking, and tests in the current repo. Use when user wants to add pre-commit hooks, set up Husky, configure lint-staged, or add commit-time formatting/typechecking/testing.
Test-driven development. Use when the user wants to build features or fix bugs test-first, mentions "red-green-refactor", or wants integration tests.
Teach the user a new skill or concept, within this workspace.
Turn the current conversation into a spec and publish it to the project issue tracker — no interview, just synthesis of what you've already discussed.
Break a plan, spec, or the current conversation into a set of tracer-bullet tickets, each declaring its blocking edges, published to the configured tracker — edges as text in a local file, or native blocking links on a real tracker.
Move issues and external PRs through a state machine of triage roles — categorise, verify, grill if needed, and write agent-ready briefs.
Plan a huge chunk of work — more than one agent session can hold — as a shared map of investigation tickets on your issue tracker, and resolve them one at a time until the way to the destination is clear.
Reference for writing and editing skills well — the vocabulary and principles that make a skill predictable.
When an agent needs to stop, roll back, or restrict access for a human — the real mechanisms are require-tier.sh's tier check, human-gate-policy.md's confirmation gate, and git's own revert/reset. Replaces an earlier design that instructed agents to implement…
When 2+ independent perspectives must agree before a risky Yana AI action — dispatching review subagents synchronously via the Task tool, resolving their findings by priority (Safety > Correctness > Performance > Style), and blocking on any Safety-severity…
HexStrike AI — MCP server cho 150+ cybersecurity tools: Nmap, SQLMap, Nuclei, Ghidra, Prowler... AI agent tự chọn tool, chạy pentest, bug bounty automation. Cần authorization.
Source text: Vietnamese