#prompts

An Agent Skill is a directory-level instruction package whose required SKILL.md frontmatter makes it discoverable, while optional scripts, references, and assets are loaded…

The Piebald AI repository presents Claude Code as a prompt-and-tool system made of many small runtime-interpolated fragments for agents, tools, modes, classifiers, reviews…

Codex's Rust prompt crate renders specialized prompt text from typed runtime state, separating permissions, review, goals, compaction, realtime, and patch-tool instructions.

OpenAI's Codex guide argues that Codex performance depends as much on harness prompt/tool design as on model choice: prompts should emphasize autonomy, efficient exploration…

Public coding-agent prompts converge on layered prompt assembly: base identity, behavior policy, tool/editing constraints, environment and project context, then the user's…

Goose keeps its prompt surface as small markdown templates for agent identity, planning, compaction, subagents, recipes, app generation, permissions, and tiny-model behavior.

Pi's .pi/prompts directory is a compact set of procedural slash-command prompts for maintainer workflows, written as explicit checklists with safety rules and expected output.

Tau names two related coding-agent efforts: dpc's Tau emphasizes Unix-native process composition, while Hugging Face Tau is a small Python teaching harness whose core lesson is…