The discussion centers on a project using AI and networked microphones to locate a mysterious beep, with users debating the practical efficiency of this high-tech approach versus simple manual methods like physical binary search or unpacking boxes. Participants also argue over whether the project represents genuine learning and utility or merely an unnecessary expenditure of computational resources for a trivial problem.
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superpowers
Shell2025–2026
obra / superpowers
superpowers
An agentic skills framework & software development methodology that works.
64Distinct people
77Mentions
3Explicit recommenders
316.7KGitHub stars
What to know before exploring
What it is
An agentic skills framework & software development methodology that works.
GitHub
Where it is used
No documented product use was verified in the last source check.
What people are saying
https://github.com/obra/superpowers I use Opus/Sol with for /brainstorming, deepseek (on Pi) for /subagent-driven-development I love it, the docs are easily editable and when…
cthulberg used a recommendation phrase. 3 indexed comments match. This is a phrase match, not a verdict.
No classified warning is attached to this page. Read the discussions before treating silence as approval.
Also in these discussions
- gastownhall/beads · linked in 2 of the same discussions
- github/spec-kit · linked in 2 of the same discussions
- gsd-build/get-shit-done · linked in 2 of the same discussions
Mentioned in the same Hacker News threads. That is not proof they are substitutes.
This week on Hacker News
Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 12:03:30 PM UTC.
Mentions over time
HN mentions by month77 dated mentions
Observed mentions: 2025-10-11 14:41:58 UTC to 2026-09-26 02:10:10 UTC.
Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.
View mention counts and date ranges
| Period | Start (UTC) | End (exclusive, UTC) | Mentions | Submissions | Comments |
|---|---|---|---|---|---|
| Oct 2025 | 2025-10-01 00:00:00 UTC | 2025-11-01 00:00:00 UTC | 6 | 1 | 5 |
| Nov 2025 | 2025-11-01 00:00:00 UTC | 2025-12-01 00:00:00 UTC | 3 | 0 | 3 |
| Dec 2025 | 2025-12-01 00:00:00 UTC | 2026-01-01 00:00:00 UTC | 5 | 1 | 4 |
| Jan 2026 | 2026-01-01 00:00:00 UTC | 2026-02-01 00:00:00 UTC | 7 | 2 | 5 |
| Feb 2026 | 2026-02-01 00:00:00 UTC | 2026-03-01 00:00:00 UTC | 10 | 2 | 8 |
| Mar 2026 | 2026-03-01 00:00:00 UTC | 2026-04-01 00:00:00 UTC | 9 | 3 | 6 |
| Apr 2026 | 2026-04-01 00:00:00 UTC | 2026-05-01 00:00:00 UTC | 12 | 3 | 9 |
| May 2026 | 2026-05-01 00:00:00 UTC | 2026-06-01 00:00:00 UTC | 5 | 2 | 3 |
| Jun 2026 | 2026-06-01 00:00:00 UTC | 2026-07-01 00:00:00 UTC | 6 | 2 | 4 |
| Jul 2026 | 2026-07-01 00:00:00 UTC | 2026-08-01 00:00:00 UTC | 10 | 0 | 10 |
| Aug 2026 | 2026-08-01 00:00:00 UTC | 2026-09-01 00:00:00 UTC | 2 | 0 | 2 |
| Sep 2026 | 2026-09-01 00:00:00 UTC | 2026-10-01 00:00:00 UTC | 2 | 0 | 2 |
What Hacker News says
5 sourcesPEpetesergeant·Dec 29, 2025Submission
Claude Code superpowers: core skills library
4 points · Open discussionSuperpowers is amazing.
https://github.com/obra/superpowers
In Ask HN: What public Claude Code MCPs, Skills do you have installed and use?My favorite set of tools to use with Claude Code right now: https://github.com/obra/superpowers
1. Start with the ‘brainstorm’ session where you explain your feature or the task that you're trying to complete.
2. Allow it to write up a design doc, then an implementation plan - both saved to disk - by asking you multiple clarifying questions. Feel free to use voice transcription for this because it is probably as good as typing, if not better.
3. Open up a new Claude window and then use a git worktree with the Execute Plan command. This will essentially build out in multiple steps, committing after about three tasks. What I like to do is to have it review its work after three tasks as well so that you get easier code review and have a little bit more confidence that it's doing what you want it to do.
Overall, this hasn't really failed me
Read the rest
yet and I've been using it now for two weeks and I've used about, I don't know, somewhere in the range of 10 million tokens this week alone.
The quality of an LLM outputs is greatly dependent on how many guard rails you have setup to keep it on track and heuristics to point it on right direction (type checking + running tests after every change for example).
What is health of your enterprise code base? If it’s anything like ones I’ve experienced it’s a legacy mess then it’s absolutely understandable that an LLMs output is subpar when taking on larger tasks.
Also depends on the models and plan you’re on. There is a significant increase in quality when comparing Cursors default model on a free plan vs Opus 4.5 on a maximum Claude plan.
I think a good exercise is to prohibit yourself from writing any code manually and force yourself to do LLM only, might sound silly but it will develop that skill-set.
Try Claude code in thinking mode with the some super powers - https://github.c
Read the rest
om/obra/superpowers
I routinely make an implementation plan with Claude and then step away for 15 mins while it spins - the results aren’t perfect but fixing that remaining 10% is better than writing 100% of it myself.
git workspaces, combined with some guard rails to keep the llm on task. For example a detailed document with requirements and implementation details and a unit tests that the llm can keep verifying against and/or enhancing between each step to increase the reliability of it’s output.
Give Claude Code a try, with git work trees and especially some skills pre-loaded https://github.com/obra/superpowers
In Ask HN: Anyone writing code from scratch or mostly doing architecting and LLM?