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anthropics
knowledge-work-plugins
Python2026–2026
anthropics / knowledge-work-plugins

knowledge-work-plugins

Open source repository of plugins primarily intended for knowledge workers to use in Claude Cowork

7Distinct people
7Mentions
0Explicit recommenders
35.6KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Open source repository of plugins primarily intended for knowledge workers to use in Claude Cowork

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 7:56:55 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by week7 dated mentions

Observed mentions: 2026-01-30 18:56:05 UTC to 2026-05-14 11:30:16 UTC. Weeks start Monday, UTC.

012342026-01-26 00:00:00 UTC to 2026-02-02 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsJan 262026-02-02 00:00:00 UTC to 2026-02-09 00:00:00 UTC (exclusive): 4 mentions; 1 submissions, 3 comments2026-02-09 00:00:00 UTC to 2026-02-16 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-02-16 00:00:00 UTC to 2026-02-23 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-02-23 00:00:00 UTC to 2026-03-02 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-03-02 00:00:00 UTC to 2026-03-09 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-03-09 00:00:00 UTC to 2026-03-16 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-03-16 00:00:00 UTC to 2026-03-23 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsMar 162026-03-23 00:00:00 UTC to 2026-03-30 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-03-30 00:00:00 UTC to 2026-04-06 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-04-06 00:00:00 UTC to 2026-04-13 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-04-13 00:00:00 UTC to 2026-04-20 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-04-20 00:00:00 UTC to 2026-04-27 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-04-27 00:00:00 UTC to 2026-05-04 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-05-04 00:00:00 UTC to 2026-05-11 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-05-11 00:00:00 UTC to 2026-05-18 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 commentsMay 11

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
Jan 262026-01-26 00:00:00 UTC2026-02-02 00:00:00 UTC110
Feb 22026-02-02 00:00:00 UTC2026-02-09 00:00:00 UTC413
Feb 92026-02-09 00:00:00 UTC2026-02-16 00:00:00 UTC000
Feb 162026-02-16 00:00:00 UTC2026-02-23 00:00:00 UTC000
Feb 232026-02-23 00:00:00 UTC2026-03-02 00:00:00 UTC000
Mar 22026-03-02 00:00:00 UTC2026-03-09 00:00:00 UTC000
Mar 92026-03-09 00:00:00 UTC2026-03-16 00:00:00 UTC000
Mar 162026-03-16 00:00:00 UTC2026-03-23 00:00:00 UTC000
Mar 232026-03-23 00:00:00 UTC2026-03-30 00:00:00 UTC000
Mar 302026-03-30 00:00:00 UTC2026-04-06 00:00:00 UTC000
Apr 62026-04-06 00:00:00 UTC2026-04-13 00:00:00 UTC000
Apr 132026-04-13 00:00:00 UTC2026-04-20 00:00:00 UTC000
Apr 202026-04-20 00:00:00 UTC2026-04-27 00:00:00 UTC000
Apr 272026-04-27 00:00:00 UTC2026-05-04 00:00:00 UTC000
May 42026-05-04 00:00:00 UTC2026-05-11 00:00:00 UTC000
May 112026-05-11 00:00:00 UTC2026-05-18 00:00:00 UTC202

What Hacker News says

4 sources
So as a software engineer with experience with coding agents, when I look at https://github.com/anthropics/knowledge-work-plugins I'm like: oh that's it, a bunch of skills files? So the value of a skill file is that it tells the model how to format its response for use within the software environment surrounding the model. With programming, it's mostly about how to tell it to use some API. But all the model can do is reply some text, and the actual work needs to be done by the software(the agent harness) which needs to parse the model response and translate it into actual work. My point is there is no magic: the model just reads the skill file and then uses that as a template for a textual response, which is then parsed and processed by traditional software. So in terms of legal skills, a stand-alone skill like the contract review skill a
Read the rest
t https://github.com/anthropics/knowledge-work-plugins/blob/ma... is basically useless. Yes, the model will read it and it will influence its response, but without some extensive software harness around the model to give it data for context and and so on: totaly useless. Why? Because garbage in is garbage out. So telling the model to review a contract and pay attention to "Whether indemnification is mutual or unilateral" will result is some response from the model, but without additional data it will be at the same level as what you can get from a google search. The effect on established companies is exactly zero. Now, having an in-house skills and proprietary software around the model to integrate it into your system, that would be valuable indeed, but not something an AI lab can replicate without building the whole company from scratch.
In Anthropic AI tool sparks selloff from software to broader market
> You're no longer developing software, you're doing therapy for robots. Or, really, hacking in "learning", building your knowhow-base. > But it delivers enormous compounding gains, and you can use your agent to do significant parts of it for you. Strong yes to both, so strong that it's curious Claude Code, Codex, Claude Cowork, etc., don't yet bake in an explicit knowledge evolution agent curating and evolving their markdown knowledge base: https://github.com/anthropics/knowledge-work-plugins Unlikely to help with benchmarks. Very likely to improve utility ratings (as rated by outcome improvements over time) from teams using the tools together. For those following along at home: This is the return of the "expert system", now running on a generalized "expert system machine".
In GPT-5.3-Codex

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