Forcing Claude Code to Write Maintainable TypeScript
Prompt library for Claude Code when AI code quality is already a known problem.
Agent Skill for writing Golang code
Organized Go best practices for agents, but it's markdown files like any custom instruction.
Go developers using AI coding assistants
Custom GPT Instructions · Claude Custom Instructions · Effective Go
Prompt library for Claude Code when AI code quality is already a known problem.
Opinionated library of 16 compact skills that map real PM frameworks (Mom Test, Shape Up, Obviously Awesome, Teresa Torres) into 50–150 line agent instructions, installable via npx or a .claude plugin. Practical and immediately useful if you run AI agents for interviews, scope-cutting, or PRD drafting — the value is in the framework-to-prompt translation and the CLI/plugin delivery; it could use example outputs, tests, or usage case studies to prove the quality of each skill.
Scans package.json to recommend installable agent skills from the skills.sh ecosystem.
Agent skills marketplace, but it's a glorified gumroad for prompts.
Reference docs for AI agents so they stop hallucinating OpenRouter code, but it's a structured prompt.
MemOS turns long-running conversations into reusable, load-on-demand 'Skills' that agents can call during task execution — a clear attempt to move beyond one-shot context into durable task logic. It’s an interesting engineering abstraction and nice to see an API-first demo, but the landing material glosses over crucial details like skill validation, deduplication, and safeguards against propagating bad agent behavior; show me metrics or human-in-the-loop tooling and this gets a lot more compelling.