LLM Mart Basic

State-of-the-art secrets management for building and auditing software. Use whenever a task involves creating, storing, injecting, rotating, or scanning for credentials — or reviewing code/infrastructure for secret leaks and misuse. BUILD mode: implementing secrets handling; AUDI

State-of-the-art security & compliance engineering (2026) for the cybersecurity control frameworks and product-security regulations that drive architecture, code, and CI gates — not the organizational policy binder. Use when work must satisfy or be audited against NIST CSF 2.0, S

State-of-the-art shell scripting (bash-focused, defensive) for writing and auditing shell scripts, CI scripts, init/deploy scripts, container entrypoints, and Makefile recipes — and, just as much, for the ad-hoc commands you run yourself: a grep/find/rg sweep whose result you are

State-of-the-art software testing strategy and practice (2026) for designing test strategy, writing unit/integration/e2e tests, or auditing test suites. Covers suite shape (pyramid/trophy/honeycomb), test design quality (behavior-first, AAA, determinism, smells), test doubles (mo

State-of-the-art threat modeling for both designing new systems and auditing existing ones. Use when designing a feature, service, integration, or architecture that touches untrusted input, new trust boundaries, sensitive data, or third-party dependencies (BUILD mode), and when r

State-of-the-art UX writing and product-copy guidance (2026) covering voice and tone systems, plain language (ISO 24495-1), microcopy (buttons, labels, empty states, onboarding, notifications), error and feedback message craft, and the accessibility and localization of interface

State-of-the-art engineering rules (2026) for the JavaScript SSR meta-frameworks: React 19 + Next.js (App Router, React Server Components, Server Actions) and Vue 3 + Nuxt 4 (Nitro server routes, composables) — plus the cross-cutting concerns of server rendering: hydration correc

Give this repo's CLAUDE.md / AGENTS.md a checkup — size vitals vs official guidance, dead references, dead commands, stale claims — then backtest every rule against the repo's own Claude Code session history to see which rules were actually followed, ignored, or never used, and p

Example skill loaded from resources_discover

Creates implementation plans from context and requirements

Code review specialist for quality and security analysis

Fast codebase recon that returns compressed context for handoff to other agents

General-purpose subagent with full capabilities, isolated context

Git-backed control plane for AI-agent skills, tools, context, permissions, and identity. Self-hosted and MCP-native.

在 WorkBuddy 中下载并配置 dsh-plugin-garmin-connect npm 包，通过 MCP 工具分析 Garmin 活动、睡眠、步数、心率、体重、训练库、跑步趋势和有限的恢复信息，也可按用户要求创建 Garmin 训练或下载活动 FIT 文件。适用于 Garmin 配置、回顾、比较和明确授权的写操作；不用于医疗诊断。

GitHub Actions, required checks, TestMu, OS matrix, and merge gates for Skill Doctor. Use when editing workflows, adding CI jobs, deciding what runs on every commit, or wiring crates/npm publish.

Skill Doctor CLI UX, flags, exit codes, text/JSON/SARIF reports. Use when changing clap, printers, GitHub Action inputs, or CI gate flags.

SD-11 scanner-mediated injection — neutralize untrusted skill bytes before any model; additive-only scoring. Use when touching L2, MCP, prompts, envelopes, or scoring merge.

Skill Doctor product and architecture context. Use at the start of a session, when deciding where code lives, when the user asks how the scanner works, or before any non-trivial change.

Pre-publish and publish path for crates.io, npm installer, GitHub Releases, SBOM. Use when cutting versions, editing release.yml, or adding publish steps. Never publish from a feature branch.

Fourteen posts of being wrong in production, compressed to checkboxes

Healthy nodes, a quiet network, 300 restarts in three days, and a latency budget measured in milliseconds

Discovery worked. Ping worked. Every TCP connection timed out, and later the tunnel only worked when someone had a terminal open.

Every VM came back. The cluster did not. Declarative systems converge on config, and the datapath isn't config.

A surprising share of AI-in-the-terminal failures aren't the AI. They're zsh, and a version of bash from 2006.

A Claude Code plugin turns standalone project configuration into a namespaced, installable extension that teams and communities can update as one unit.

None of the safety came from the model. It came from six boring habits.

Skills package instructions and references. Subagents run work in a separate context and return results. They solve different problems and can be composed deliberately.

Six hours in, one step left, everything green, and the incident that didn't happen

CLAUDE.md carries persistent project context. Skills load reusable procedures when relevant. Separating stable facts from task-specific workflows keeps both easier to maintain.

Twenty minutes recovering secrets that never existed, and the one sentence from a human that ended it

An API request routing a model's tool call through an approval gate to a remote MCP server

31 config keys, two audits, and why the first one was wrong in both directions

The official MCP Registry stores standardized server metadata rather than package code. Publishers verify a namespace, describe installation or remote access, and submit immutable versions.

Everyone looks at the Dockerfile. The file that actually leaked the key was the project file.

Remote MCP authorization uses established OAuth standards, but secure integration still requires issuer validation, least-privilege scopes, protected token handling, and server-side enforcement.

"Copy it over and switch the reference" is two steps, and the outage lives in the one nobody checks

stdio fits local processes and prototypes. Streamable HTTP fits hosted services and shared integrations. The right choice follows where the capability runs and who must reach it.

The most important rule wasn't about what I could change. It was about what I was allowed to display.

Tools perform operations, resources expose readable context, and prompts provide reusable templates. Choosing the correct primitive makes an MCP server easier to understand and govern.

Daily standup: all 9 departments report on the current project in parallel

Identify skills injected where not needed, propose regex and description tightening

Draft X/Twitter announcement post (or thread) for the latest plugin release

Deep quality audit of all skills, agents, and commands for inconsistencies, gaps, duplication, and token waste

Analyze negative-signal sessions for a skill, identify failure patterns, propose and apply fixes

Eval all skills with sufficient data, rank by procedure-following score, identify candidates for optimization

Propose a skill revision and compare fresh executions under a frozen rubric

Prune stale entries from the whetstone sync decision log

Bump version, commit, push, mirror to ai-skills, and update local plugin

Run the SkillOpt process-skill optimizer (offline, local). Default prints the exact bare-terminal command (safe); --run executes it in-session (hardened + checkpointed).

Analyze reference repos and recommend skill/agent/command improvements based on cross-repo patterns

Triage all open PRs with parallel agents, label, group, and review one-by-one

Author a new skill from scratch with paired trigger fixtures and full validation. Use when adding a skill that has no upstream skills.sh source (discipline, meta, or internal-pattern skills).

Create Architecture Decision Records with format selection and lifecycle management

Score each of the 5 agent-native principles (parity, granularity, composability, emergent capability, improvement-over-time) against a codebase and report gaps

Explore requirements and approaches through collaborative dialogue before planning implementation

Create engaging changelogs for recent merges to main branch

Expand each section of a plan via parallel research agents that add framework specifics, library conventions, and concrete implementation steps

Post-ship documentation sync. Reads all project docs, cross-references the diff, updates README/ARCHITECTURE/CONTRIBUTING/CLAUDE.md to match what shipped, polishes CHANGELOG voice, and optionally bumps the version.

Record a video walkthrough of a feature and add it to the PR description

A systematic AI Agent development tutorial covering LLM agents, RAG, tool use, memory systems, multi-agent systems, LangChain, LangGraph, MCP, and agentic RL.｜从…

Convert Files / Folders / GitHub Repos Into AI / LLM-ready Files

Open-source, local-first conversational AI video editor with a professional multi-track timeline, Agent Skills, MCP integration, and Remotion rendering.

Maintainer-governed agent for evidence-backed open-source contribution proposals

A Claude Code skill by Hao (駱君昊) that learns your Facebook voice and auto-posts to FB / IG / Threads / X with a 14-day content calendar. Mega-viral validated: 8…

Local-first AI agent workspace for coding, writing, design, research, and automation — one runtime for desktop GUI and TUI.

Open-source AI Agent platform for teams. Your agents don't just chat — they read files, run code, call APIs, and deliver results.

Give your AI agent eyes for PDFs — structured text, tables, OCR, visual evidence, and page-level citations via MCP. Native Rust, local-first.

Real-world AI penetration testing engineer for authorized assessments — built-in cloud module covering AWS/Azure/GCP + Aliyun/Tencent/Huawei clouds. Built on Cl…

OpenGUI is an Android GUI agent framework for phone-use AI that can see, plan, and operate real mobile apps through the GUI.

Tinybot is a lightweight personal AI Agent that is constantly evolving

Goink 桌面 AI 小说创作助手，对话式写作 + 自动状态追踪 + 本地语义搜索。跨平台开箱即用。AI Agent Novel Generator.

Pluggable DeepSeek-colored TUI for DeepSeek Harness

Entity-level git merge driver. Resolves false conflicts git invents when independent agents edit the same file. ~95% reduction vs. line-based merge.

Percho: Minimalist desktop GUI for the Pi coding agent — the same engine as the Pi CLI, in a clean visual interface. Multi-session chat, visual tool approvals,…

Run Claude Code, Codex & Gemini in parallel on Windows & macOS — git worktree fan-out with atomic hunk adoption, approval gates, reboot-surviving sessions

A hierarchical memory framework for personalized presentation agents. Try it at memslides.com.

Real-time multimodal desktop agent evolving toward a persistent AI OS interface (0.1 α).

clawdcursor compiles whatever's on screen into one UI map — accessibility tree and OCR fused into stable, addressable elements, with a screenshot only when need…

Repeatable agentic engineering. The workflow layer that turns AI coding agents into a disciplined factory: durable specs, fresh-context workers, adversarial cro…