LLM Mart Basic

Use when the user asks to convert, export, or save an HTML slide deck as a PDF ("save the slides as PDF", "export the deck to PDF", "make a PDF of the presentation"). Works on decks built by the SlideOps (slideops) skill and on any single-file HTML deck that shows one slide per U

llm-wiki style broadcast ingest — conversational update of related existing pages when a Raw has been distilled. Use when the user says "broadcast", "跑 broadcast", "compound this into the vault", "merge pending-merge", "process broadcast queue", or when cortex-distill invokes bro

Distill raw session records into refined Notes and Projects. Use when the user says "提煉", "整理 raw", "distill", or "distill raw records".

Save knowledge to the cortex vault. Use when the user says "存到 cortex", "記一下", "save to cortex", "記到筆記", "cortex evolve", or when the session-suggest hook recommends saving content. Handles Notes and Projects.

Search and retrieve content from the cortexes vault — the user's external memory. Use when the user explicitly asks to search or recall the vault ("查 cortex", "之前有記過", "cortex 裡有沒有", "check my notes", "what did I write about", `/cortexes:query`), or when the using-cortex skill ro

Create or resume a session takeoff baton — a curated, ephemeral, git-ignored hand-off note that lets the next Claude session continue a long-running task. A repo can hold several batons at once, one per work line (topic). Use when the user says "交接", "takeoff", "交棒", "context 快滿了

Use when the user asks to check the cortex vault, refers to earlier work ("last time", "that project", "we discussed", "之前那個", "上次的"), asks to resume something from a previous session, or names a topic the SessionStart hook listed for this vault. Routes the request to the cortex-

Generate a native, editable PPTX deck from an outline, notes, or source material with the pptwise CLI. Use when the user asks to create a PPT, deck, presentation, or slides and wants a deterministic, editable, theme-consistent result.

Ship an Android app to testers or to Google Play, or push an update to an app already listed there. Use when the user says "make the Android app available to testers", "internal/open testing link", "publish to Play", "release the APK/AAB", "Play Console", "upload a new version",

Build an iOS 26+ layered app icon (.icon / Icon Composer) from a designer's SVG, generated by script rather than drawn by hand, and check every appearance without launching the app. Use when the user says "иконка приложения", "сделай иконку", "app icon", "Icon Composer", "layered

Use when "audit KB", "check frontmatter", "find broken links", "tag cleanup", "knowledge base quality", or docs need health check. Do NOT use for SEO audits (/seo-audit) or code reviews (/review).

Use when "build it", "start building", "execute plan", "implement tasks", "ship it", track ID referenced, or plan tasks need execution. Do NOT use for planning (/plan) or scaffolding (/scaffold).

Use when "find communities", "draft outreach", "Reddit promotion", "ProductHunt launch", "community marketing", or need to find relevant threads for launch. Do NOT use for social media posts (/content-gen) or video scripts (/video-promo).

Use when "create content", "write LinkedIn post", "social media pack", "marketing copy", "promotion content", or need social posts from PRD. Do NOT use for community thread responses (/community-outreach) or video scripts (/video-promo).

Use when "find first customers", "первые клиенты", "early adopters", "design partners", "who would buy this", "prospect list", or need an evidence-backed shortlist of potential first customers from public signals. Do NOT use for community thread replies (/community-outreach), mar

Use when "deploy it", "push to production", "set up hosting", or after /build completes and project needs hosting. Do NOT use before build is complete.

Diagnosis loop for hard bugs and performance regressions — build a tight feedback loop first, hypothesise second. Use when user says "diagnose", "debug this", "why is this broken", "почему падает", "тормозит", or reports something throwing, failing, flaky, or slow. Do NOT use for

Check whether a product name is actually free — across domain zones (RDAP + whois), the App Store, Google Play, GitHub and trademarks — before buying anything. Use when the user says "проверь домен", "свободно ли имя", "check this domain", "нужно название", "придумай имя проекту"

Use when "install solo factory", "set up solo", "install all solo skills", "startup toolkit", "solo factory setup", or first-time installation of the startup pipeline.

Use when "github outreach", "competitor dependents", "dependents scan", "propose our lib", or targeting users of competitor libraries. NOT for Reddit (/reddit) or social copy (/content-gen).

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

VCP 部署在 AI 模型 API 与前端应用之间，是面向AGI OS开发和探索的工业级基建示范项目。通过统一指令协议、多层级持久化记忆、分布式插件引擎及多 Agent 协作框架，将原本“无状态、无记忆、无工具调用能力”的大语言模型，彻底改造成拥有永久自我意识、物理世界操作权及群体协作智能的完整智能体系统。

The open source Unity Dev Agent

Context is yours. Agents are replaceable. Orbital — a project agent that turns your context into assets.

Self-hosted search API + MCP server for AI agents. Bundles SearXNG. Zero API keys, one-command deploy. Open-source alternative to Tavily, Exa, and Serper.

🛡️ Free open-source AI-powered security terminal & vulnerability scanner (CVE, SBOM). Supports SSH, SFTP, RDP, VNC, Serial, and 12+ autonomous AI agents (DeepS…

Watch, approve and steer your coding agents from your phone.

MARVIS-Agent: all-purpose credit risk agent for model development, validation, data processing, feature engineering, and strategy workflows.

TikTok e-commerce video generation, replication, and analysis SKILL

小红书/抖音/快手/视频号/B站 自媒体账号体检+爆款拆解工具。扫同赛道找对标、拆爆款为什么爆、诊断为什么没人看，顺手出可粘贴仿写初稿。支持带货电商模式。支持codex, claude code, workbuddy

Local-first persistent agentic memory powered by Recursive Memory Harness (RMH). Open source must win.

A power user focused interface for LLM base models.

Outsource your understanding. Capture every human-AI decision as a step in a trajectory; grade trajectories retroactively when outcomes land (deal closed, sprin…

The open-source AI research workbench for scientific research and agent workflows. Local-first, model-agnostic desktop app with extensible skills, MCP tools and…

🤖 Taskade MCP · Official MCP server and OpenAPI to MCP codegen. Build AI agent tools from any OpenAPI API and connect to Claude, Cursor, and more.

A block-based content engine and bilingual blog backend for Laravel Gutenberg-style editor, media library, post templates, roles, and an AI writing assistant,…

ACRYL - Agent Context Relay Yielding Lifecycles. One persistent workspace, one canonical context, any coding agent.

Okou connects to the tools your team already uses and does the work — across marketing, sales, engineering, and operations, under your control.

Open-source agent-native visual production workspace where humans and coding agents edit the same live canvas — local-first, BYOK image/video models.

Persistent memory extension for pi with daily logs, scratchpad, and optional qmd‑powered semantic search.

Hermes Agent CN desktop app, Windows-First, built with Tauri, Typescript and Rust. Isolated Hermes Agent core insides.