#agents
14 skills & prompts · 22 tools · 47 MCP servers · 8 articles
Skills & prompts
See all 14Adversarial code-review skill for Claude
A Claude skill that reviews a diff by trying to refute each finding before reporting it.
Reasoning-first debugging workflow for DeepSeek
A workflow that makes DeepSeek state a hypothesis and a test before proposing any fix.
Roleplay-agent skill for MiniMax
A skill that keeps a consistent persona and memory across a long MiniMax conversation.
Plan-to-agent handoff workflow for GitHub Copilot
Use Copilot Plan mode to pin scope and open questions first, then hand the approved plan to Agent mode for execution.
Review-before-apply skill for Codex CLI
Forces Codex CLI to show the diff, review its own changes, run focused validation, and list uncertainty before you keep the patch.
Security-review skill for Claude
A structured security pass over a diff — checks the OWASP-relevant classes, ranks by exploitability, and shows a repro.
Repository MCP config template for GitHub Copilot
A safe starting template for repository-level MCP configuration, with explicit tool allowlists and the COPILOT_MCP secret pattern.
Custom GPT acceptance harness
A reusable test harness for checking whether a custom GPT actually follows its instructions, uses tools correctly, and fails safely.
AGENTS.md bootstrap for Codex CLI
A starter AGENTS.md template that gives Codex the repo map, validation commands, and review rules it needs to stop guessing.
Repository instructions bootstrap for GitHub Copilot
A starter layout for .github/copilot-instructions.md, path-specific instruction files, and AGENTS.md so Copilot stops guessing how your repo works.
tree-ring-memory
Guides AI agents in using Tree Ring Memory for durable recall, project decisions, user preferences, warnings, future seeds, privacy-safe memory capture, and lifecycle-aware forgetting.
tree-ring-memory
Guides AI agents in using Tree Ring Memory for durable recall, project decisions, user preferences, warnings, future seeds, privacy-safe memory capture, and lifecycle-aware forgetting.
Tools
See all 22
GitHub's AI pair programmer for inline suggestions, chat, agent mode, and code review across your editor and GitHub.
Anthropic's agentic CLI that edits code, runs tools, and ships changes.
Hermes Agent is an open-source, self-improving autonomous AI agent developed by Nous Research
One local dashboard for every Claude Code, Codex, Cursor, Antigravity, and Kilo Code session on your Mac. Spawn in parallel, ship in parallel. Open source, MIT.
🏆 Curated, ranked list of AI agent harnesses (100+) — plus an MCP server, llms.txt & JSON so agents can recommend them too. Rescored weekly.
Local First Ai Agent. Optimized for Local Ai models. Long context window. Proper tools callings. Runs privately on your device.
MCP servers
See all 47Fetch a web page and hand the agent readable text instead of raw HTML.
mcp-server-fetch
Give an agent scoped read and write access to directories you choose.
@modelcontextprotocol/server-filesystem
Read repository history, diffs and branches as tools an agent can call.
mcp-server-git
Read-only MCP server for the OrchestKit docs: full-text search + Markdown fetch. No auth.
Extract data from any website with thousands of scrapers, crawlers, and automations on Apify Store ⚡
Self-correcting agent memory + MCP server: recall, supersede/revert/review corrections, erasure.
Messaging between concurrent AI coding sessions, across clients, over MCP. Zero infrastructure.
MCP tools for Sema — eval, compile, build, format, and docs for a Lisp with LLM primitives.
Command your AI agents by voice: PTT rooms, channels, E2EE DMs, agent email, private recall.
Local-first LLM deployment planner: GPU/VRAM sizing, cost and latency, with provenance
Publish status cards and Live Activities to iOS widgets, the Lock Screen, and the Dynamic Island.
Connect MCP clients to Thalovant control-plane and hub runtime APIs over stdio or Streamable HTTP.
Articles
What is an MCP server? A practical guide
An MCP server exposes tools, resources, or prompts through a standard protocol so an AI application can discover and use external capabilities.
How to vet AI agent skills before installing them
Treat an AI agent skill as both an instruction package and a software dependency: inspect what it says, what it runs, what it can access, and how it updates.
How to add an MCP server to Claude Code safely
Add remote HTTP or local stdio MCP servers to Claude Code, choose the right scope, protect credentials, verify the connection, and test with least privilege.
AI agent skills vs. MCP servers: which should you build?
Use an agent skill to package reusable know-how and workflow instructions. Use an MCP server when an agent needs live, governed access to external data or actions.
Point your agent at the catalogue: the LLM Mart MCP server and API
The whole public catalogue is an MCP server and a REST API, so your agent can search skills, tools and slash-commands as native tools. Setup is one config block. Plus a private vault that carries your own prompts between machines.
The instruction file is the highest-leverage file in your repo
AGENTS.md, CLAUDE.md, copilot-instructions.md and .cursor/rules all solve the same problem. Most of them are written badly. Here's what changes agent behaviour and what's decoration.
Prompt injection is not an XSS problem
Sanitizing output protects your page. It does nothing for an agent that reads a poisoned README and then runs a command. A practical model of the threat, and what actually helps.
Prompt, skill, workflow, recipe, template, agent: a working taxonomy
The words are used interchangeably and they shouldn't be. Six categories, what actually distinguishes them, and how to tell which one you're holding.