Thinking Out Loud

Ramble at your agent by voice. Audit what it heard before it acts.

Voice dictation already lets you think out loud for ten minutes, and LLMs are already good at reconstructing the mess. The danger sits one step later: the model fills every gap in your ramble confidently. "The usual model" silently becomes a specific model. The idea you reversed mid-ramble survives as fact. Then an agent with tools starts building on a misreading it fully believes, and you find out an hour of generated work later.

This skill is a contract for that moment: the agent acts on nothing until it echoes back a short structured audit of everything it absorbed, with its own guesses quarantined from your words. You correct three lines instead of debugging a built artifact.

https://github.com/user-attachments/assets/6f272cf5-8ad9-4d9d-a5bd-538076487b47

Install

npx skills add https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/agent_skills/thinking-out-loud

The skills CLI installs the folder for compatible

coding agents. You can also copy this directory into an agent's skills

directory.

Run

Dictate a ramble into your agent, mess encouraged. It auto-triggers on

ramble-shaped input, especially with an opener like:

switching to speech recognition sorry for any typos. so the thing i

keep coming back to is...

You get back the echo: a one-sentence mission, your locked decisions and

constraints, open questions, a ledger of flips and parked tangents, and

the model's additions (inferred and guessed) to correct first. Fix what

is wrong, optionally take a short interview on the open items, approve,

and choose where the brief gets saved.

To ramble across several messages instead, invoke it first ("let me

think out loud for a bit"); the agent replies only "listening..." until

you say "done".

Why not just ask for follow-up questions?

• Questions verify what the model doubts; the echo verifies what the

model believes. Confident misreadings never feel unclear, so they

never become questions.

• Questions sample three or four points; the echo audits the entire

transfer, and you verify by recognition, just reading and spotting

what is wrong.

Verify

The behavior spec lives in

agent_skills/evals/thinking-out-loud/.

Run each prompt in evals.json in a fresh session with the skill

installed and check the listed expectations; trigger-cases.json covers

when the skill must and must not fire. The skill is prompt-only: no

scripts, no network calls, and it never saves anything without asking.

Files

thinking-out-loud/
|-- SKILL.md
|-- README.md
`-- references/echo-format.md

Part of awesome-llm-apps.

Apache-2.0. Last verified: July 2026.