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obra
superpowers
Shell2025–2026
obra / superpowers

superpowers

An agentic skills framework & software development methodology that works.

AI & Machine Learning
Explore on GitHubRead Hacker News discussions
64Distinct people
77Mentions
3Explicit recommenders
316.7KGitHub stars
REPOSITORY AT A GLANCE

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

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, 11:34:28 AM UTC.

Locating the source of a mysterious beep direct repository linkDebated

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.

172 readable replies · Supporting reply 1 · Supporting reply 2 · Supporting reply 3 · Supporting reply 4

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.

0369122025-10-01 00:00:00 UTC to 2025-11-01 00:00:00 UTC (exclusive): 6 mentions; 1 submissions, 5 commentsOct 20252025-11-01 00:00:00 UTC to 2025-12-01 00:00:00 UTC (exclusive): 3 mentions; 0 submissions, 3 comments2025-12-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 5 mentions; 1 submissions, 4 comments2026-01-01 00:00:00 UTC to 2026-02-01 00:00:00 UTC (exclusive): 7 mentions; 2 submissions, 5 comments2026-02-01 00:00:00 UTC to 2026-03-01 00:00:00 UTC (exclusive): 10 mentions; 2 submissions, 8 comments2026-03-01 00:00:00 UTC to 2026-04-01 00:00:00 UTC (exclusive): 9 mentions; 3 submissions, 6 commentsMar 20262026-04-01 00:00:00 UTC to 2026-05-01 00:00:00 UTC (exclusive): 12 mentions; 3 submissions, 9 comments2026-05-01 00:00:00 UTC to 2026-06-01 00:00:00 UTC (exclusive): 5 mentions; 2 submissions, 3 comments2026-06-01 00:00:00 UTC to 2026-07-01 00:00:00 UTC (exclusive): 6 mentions; 2 submissions, 4 comments2026-07-01 00:00:00 UTC to 2026-08-01 00:00:00 UTC (exclusive): 10 mentions; 0 submissions, 10 comments2026-08-01 00:00:00 UTC to 2026-09-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2026-09-01 00:00:00 UTC to 2026-10-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 commentsSep 2026

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Oct 20252025-10-01 00:00:00 UTC2025-11-01 00:00:00 UTC615
Nov 20252025-11-01 00:00:00 UTC2025-12-01 00:00:00 UTC303
Dec 20252025-12-01 00:00:00 UTC2026-01-01 00:00:00 UTC514
Jan 20262026-01-01 00:00:00 UTC2026-02-01 00:00:00 UTC725
Feb 20262026-02-01 00:00:00 UTC2026-03-01 00:00:00 UTC1028
Mar 20262026-03-01 00:00:00 UTC2026-04-01 00:00:00 UTC936
Apr 20262026-04-01 00:00:00 UTC2026-05-01 00:00:00 UTC1239
May 20262026-05-01 00:00:00 UTC2026-06-01 00:00:00 UTC523
Jun 20262026-06-01 00:00:00 UTC2026-07-01 00:00:00 UTC624
Jul 20262026-07-01 00:00:00 UTC2026-08-01 00:00:00 UTC10010
Aug 20262026-08-01 00:00:00 UTC2026-09-01 00:00:00 UTC202
Sep 20262026-09-01 00:00:00 UTC2026-10-01 00:00:00 UTC202

What Hacker News says

6 sources
epolanski·Jun 30, 2026
In my experience harness can do wonders to improve this. Instead of asking it to generically to analyze and do X, you can use brainstorming skills like those from superpowers [1]. This makes it approach the problem better and keeps you in the loop. Another step is then to have it review its plans by another LLM acting doing adversarial review. I have a claude skill [2] that calls codex to do it, and they chat among each other. It's a tremendous boost in design quality. [1] https://github.com/obra/Superpowers [2] https://gist.github.com/enricopolanski/6c5038a8e20cc4098cd99...
In Working With AI: A concrete example

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