Prompt Engineering

A workflow and toolbox for writing prompts that steer modern LLMs reliably — system prompts, slash commands, skills, rules, agent personas, and one-off queries.

Bundled references (load on demand)

• references/snippets.md — read when you need a copy-paste prompt fragment for a recurring concern: anti-overengineering, parallel tool calls, default-to-action / do-not-act, investigate-before-answering, code-review coverage, frontend aesthetics, frontend variety / propose-options, subagent control, persistence across context windows, multi-context state tracking, reversibility/safety, verbosity, long-document grounding. ~20 vetted blocks.
• references/metaprompting.md — read when a prompt under-performs and the cause is unclear: full metaprompting template, filtering procedure for the model's suggestions, when to use vs. skip.
• references/agent-persona.md — read when designing or auditing the system prompt of an autonomous agent: identity, autonomy posture, tool-use rules, editing constraints, full Friendly and Pragmatic personality blocks, final-message format, plan discipline.

Workflow