autoprompt-skill

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Autoprompt is a coding-agent skill that cuts failures by 45% on agentic coding tasks.

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Autoprompt is a coding-agent skill that cuts failures by 45% on agentic coding tasks.

Autoprompt is a coding-agent workflow that cuts failures by 45% by reviewing, fixing, and rechecking its work.

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Install · Benchmarks · Invocation · Run controls · Workflow · Agents · Examples · FAQ · License

Install

Use the CLI below, or download an installer from GitHub Releases.

1. Install the CLI

bash

npm install -g https://github.com/Spielewoy/autoprompt-skill/releases/download/v2.0.0/autoprompt-skill-2.0.0.tgz

2. Launch the installer

bash

autoprompt

3. Install

Choose your coding agent, confirm its path, and install. N means enter another path.

For another CLI or IDE, choose Custom coding agent and use the compatibility guide.

Install from source

bash

git clone https://github.com/Spielewoy/autoprompt-skill
cd autoprompt-skill
npm install -g .
autoprompt

Requirements

Node.js 20+
Python 3.11+ available as python3 or python, with PyYAML
Bash 4.3+ on macOS or Linux
Git only for the GitHub checkout method

Support

Status	Coding agent	Tested version	Key
Working	Claude Code	2.1.263	`claude`
Working	Codex	0.148.0	`codex`
Working	OpenCode	1.18.29	`opencode`
Working	Kilo Code	7.5.15	`kilo`
Working	VS Code	1.136.1	`vscode`
Working	Prime Agent	0.7.2	`prime`
Working	Oh My Pi	18.1.14	`omp`
Working	DeepSeek Harness	0.1.2-rc.1	`deepseek`
Working	Reasonix	1.30.0	`reasonix`
Working	Hermes Agent	0.21.1	`hermes`
Working	Grok Build	1.0.13	`grok`

These versions passed Linux runs. Model and platform availability varies by provider.

See support and audit notes.

Check, update, or remove an installation

Check every detected installation: autoprompt doctor --strict
Check one provider: autoprompt doctor PROVIDER --strict
Update or repair: autoprompt, then choose an installed provider
Uninstall interactively: autoprompt uninstall
Uninstall one provider: autoprompt uninstall PROVIDER
Show every command: autoprompt help

Replace PROVIDER with a key from the support table, such as claude, codex, or prime.

Benchmarks

These are version 1 benchmarks. Version 2 benchmarks will follow.

Measured OpenCode comparison

Track	Solved	Score	Failed
OpenCode	60/89	67.42%	29
OpenCode + Autoprompt	73/89	82.02%	16
Change	+13 solves	+14.61 points	45% fewer

DeepSeek's 82.7% used its own test setup, so it is a reference point, not a comparable third run. Read the setup and evidence boundaries, or request another benchmark.

Expected trade-off: about 3x the time and 2x the tokens.

Timing and token logs were not retained, so these are planning estimates based on user experience reports, not measured benchmark results. The measured result was 29 to 16 failures (45% fewer) in this run, which translates to about 2x fewer mistakes. Note: for very small tasks, this may differ significantly.

Anatomy of an invocation

bash

autoprompt activate PROVIDER --target /absolute/project -- ""

Part	What it does
`PROVIDER`	A key from the support table, such as `claude`, `codex`, or `grok`.
`--target`	The project to work on. Omit it to use the current directory.
`--`	Separates launcher options from the request.
``	The result you want, constraints, and how to check success.
`path=`	Optional `auto`, `direct`, `light`, or `roadmap`, before the quoted goal. See work paths.

bash

autoprompt activate codex -- path=light "add retries and test the edge cases"

Run controls

The same controls apply to all eleven providers. Custom model setup

Control	What it does
`--concurrency tokensaver`	Runs at most six subagents at once.
`--concurrency wide`	Starts ready, independent work up to the host limit.
`--concurrency custom --max-subs N`	Sets your own concurrency limit.
`configure PROVIDER --agents off`	Uses the provider's configured model.
`configure PROVIDER --agents MODEL`	Selects one model. Add `--effort LEVEL` where supported.
`configure PROVIDER --agents auto --model-map FILE`	Chooses from a measured model registry. A comma-separated model list also requires `--model-map`.

Pass concurrency controls after --, before the quoted goal:

bash

autoprompt activate codex -- --concurrency custom --max-subs 4 "add retries and tests"
autoprompt configure claude --agents provider/model --effort low

How it works

The agents

Examples

Goal	Prompt
Fix	`autoprompt activate claude -- "fix the registration race and add a regression test"`
Build	`autoprompt activate codex -- --concurrency wide "build the booking flow from API to checkout"`
Research	`autoprompt activate hermes -- "compare job queues against this codebase and recommend one"`
Limit parallel work	`autoprompt activate grok -- --concurrency custom --max-subs 4 "migrate every model"`

Run these commands from your project, or supply --target /absolute/project before --.

FAQ

Does Autoprompt mean I literally do not have to prompt?

No. Give it a clear goal, constraints, and success criteria. Autoprompt handles the execution loop, so you do not have to prompt every step. Details

How autonomous is Autoprompt?

It can scope, implement, test, review, repair, and verify a goal. It stops for choices that change the result, actions that need your authority, or blockers it cannot safely resolve. Details

What are the layers for?

The layers separate coordination, management, execution, and independent judgment. That separation keeps one agent from planning, approving, and verifying its own work. Details

What are the paths?

path=auto selects a route for the task. direct starts focused work, light adds a short plan, and roadmap organizes dependent work before execution. Every path includes independent verification. Details

What do concurrency, models, and paths control?

--concurrency and --max-subs set parallel work limits. configure --agents selects models, and path= selects how work is planned and coordinated. Details

Why does Autoprompt not start in the background?

Because it changes cost, time, and workflow. Start it explicitly with autoprompt activate PROVIDER -- "".