# google-labs-code/jules-awesome-list

Some awesome prompts for Jules Agent

Repository: https://github.com/google-labs-code/jules-awesome-list
Canonical: https://ross.abutalabs.com/products/jules-awesome-list
License Family: other
Last push: 2026-06-30T19:08:05+00:00

## Health v2 (maintenance only)
Score: 59/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 90, release rhythm 35, longevity 33
- inputs: {"age_days": 473, "days_push": 64, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3159, forks 553 (observed 2026-08-28T04:07:46.457685+00:00)

## What it is
A curated awesome-list of prompts for Jules, Google Labs' asynchronous coding agent. It organizes example prompts by task category such as everyday dev work, debugging, documentation, and testing.

## Use cases
- find effective prompts for the Jules coding agent
- learn how to instruct an async AI coding agent
- get prompt ideas for refactoring and debugging tasks
- discover prompts for generating tests and documentation
- improve results when delegating dev tasks to an AI agent

## When to choose
- you use Jules and want proven prompt patterns
- you are exploring what an AI coding agent can do
- you want inspiration for automating everyday dev tasks with an agent

## When to avoid
- you need executable software rather than a prompt reference
- you use a different coding agent with incompatible prompting style
- you need guaranteed up-to-date guidance for a fast-changing tool

## Facets
- artifact type: learning-resource
- maturity: active
- function: prompt-engineering, agent-framework, developer-tools
- domain: developer-tools, artificial-intelligence, tutorials
- platform: cross-platform
- tags: awesome-list, prompts, coding-agent, jules, google-labs, ai-agents

## Member repositories
- google-labs-code/jules-awesome-list (main) score 59

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:46.457685+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:45:33.375452+00:00, confidence not recorded.
  - readme: https://github.com/google-labs-code/jules-awesome-list (fetched 2026-08-28T04:07:46.457685+00:00, sha 73067efe97e8)
- Data as of 2026-08-30T08:39:29.467469+00:00.