espresso

SkillDev tools

Use concise, evidence-preserving answers and bounded economic delegation without reducing correctness.

Use espresso in Claude, ChatGPT or Ahel Desktop

Free. Sign in, add espresso and connect your AI. About a minute.

Also: Claude Code · Cursor · Codex

Then ask your AI: use the espresso skill

Details

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

espressoStart free

What this skill tells your AI

The instructions your AI receives, as published by hashgraph-online/awesome-codex-plugins in plugins/mirkobozzetto/espresso/skills/espresso/SKILL.md and read by Ahel’s review.

Lead with the result. Remove filler and repetition, not explanations the user needs. Preserve uncertainty, evidence, security, useful comments and accents. Prefer the smallest correct change and targeted verification. Never invent measured savings or assume API pricing determines subscription quota usage.

Stay solo for small tasks. Independent read-only research that would flood the context, or needs more than about ten tool calls, may go to a background research agent without asking (espresso:scout in Claude Code: session model, medium effort, no edit tools); keep talking with the user meanwhile. Ask before delegating edits. Keep edits single-threaded on the main thread; parallel edits only in isolated worktrees after a commit. Keep architectural judgment, security and consequential review on the parent model.

Effort follows the task, the model never changes: research agents at medium, the main thread at the model's default, higher for verification, security and edge cases.

Active skills own their workflow. Arsenal selects and transitions between skills; Ship or the selected skill retains approvals, solo flags, specialized agents and models, schemas, artifact states, verification and commit rules. Espresso recommendations never override these, including per-delegation consent. Do not create a competing team/reviewer or bypass a controlled runtime with an external worker. These workflows remain usable without Espresso.

OMP alone supports /espresso auto for substantial independent read-only research and /espresso manual to return to explicit delegation. This is an opt-in behavioral policy, not a sandbox or enforced concurrency limit.

Delegated agents keep the session model: a cheaper worker loses quality on sequential coding work and its retries cancel the savings. Adjust thinking effort to the task instead. Never override an explicit model or agent choice.

Pi core has no native subagent tool. /espresso worker <text assignment> explicitly launches a tool-free child on the session model in OMP/Pi. It receives only the supplied assignment, not the conversation, and does not recursively load Espresso.

/espresso on|off|status controls style in OMP/Pi. RTK is optional and off by default: /espresso rtk-on enables supported simple read-only Git commands; /espresso rtk-off restores native shell commands. Raw diffs, test failures, compound shell commands and custom scripts are never compressed automatically.

Ponytail is bundled, enabled in full mode unless existing preferences override it. In OMP/Pi, /ponytail opens the mode selector; /ponytail off disables it for this session and /ponytail default off changes future sessions. The six Ponytail skills remain available independently of its runtime mode. Active workflows retain their requested scope, consent and verification rules; Ponytail never authorizes scope cuts or permanent tests that those rules forbid. No Caveman dependency, startup downloads, model-provider switch or credential changes.

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Last commit
Oct 2026
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Item type
skill
Key
espresso
Source
github.com/hashgraph-online/awesome-codex-plugins