#coding
12 skills & prompts · 9 tools · 4 MCP servers · 3 articles
Skills & prompts
Reasoning-first debugging workflow for DeepSeek
A workflow that makes DeepSeek state a hypothesis and a test before proposing any fix.
SQL-from-schema recipe for Qwen
Feed Qwen a table schema and get correct, dialect-aware SQL with a self-check pass.
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.
Explain this code with a mental model
Gets past line-by-line narration to the one mental model that makes an unfamiliar file click.
Test generation loop for GitHub Copilot
Use /setupTests, /tests, and /fixTestFailure in a red-green loop instead of asking Copilot to “add some tests” and hoping for the best.
Code review guardrails for GitHub Copilot
A review skill that makes Copilot focus on concrete behavior changes, missing tests, and repo instructions instead of generic style chatter.
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.
Spec-first feature build (workflow)
Stops the model from coding too early — lock a short spec and a test list before a single line is written.
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.
Reproduce-first bug hunt for Cursor
Forces a failing test that reproduces the bug before any fix — so you know it's actually fixed.
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.
Tools
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.
MCP servers
Let an agent inspect a Postgres schema and run read-only queries.
@modelcontextprotocol/server-postgres
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
Project memory for coding agents: requirements, decisions, code graph and delivery telemetry.
Articles
10 best Claude skills for developers in 2026
A useful Claude skill solves one recurring engineering job, is easy to inspect, and saves more time than it creates in setup and review.
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.