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Weave Context Skills
Repository-aware AI skills for engineering knowledge
Reusable AI skills that help coding agents navigate repository knowledge using explicit Markdown references, deterministic navigation, and repository-native engineering documentation.
Hi everyone! 👋
Over the past months I've been thinking about a problem that keeps appearing as AI coding agents become more capable.
Most repositories already contain valuable engineering knowledge:
- architecture notes
- ADRs
- debugging investigations
- implementation decisions
- developer documentation
But agents rarely navigate that knowledge the same way developers do.
Weave Context Skills is my attempt to improve that.
Instead of creating another documentation format, these skills teach agents to work with repository knowledge through explicit references, deterministic navigation, and repository-native workflows.
The project is completely open source, and most of the documentation now lives in the GitHub Wiki so it can evolve independently from the repository README.
I'd really love feedback on:
- Which AI tools you use today (Claude, Cursor, Copilot, Windsurf...)
- How your team manages engineering knowledge
- What workflows you wish AI agents understood better
Thanks for taking a look! 🚀
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About Weave Context Skills on Product Hunt
“Repository-aware AI skills for engineering knowledge”
Weave Context Skills was submitted on Product Hunt and earned 5 upvotes and 1 comments, placing #102 on the daily leaderboard. Reusable AI skills that help coding agents navigate repository knowledge using explicit Markdown references, deterministic navigation, and repository-native engineering documentation.
Weave Context Skills was featured in Productivity (657.5k followers), Developer Tools (517k followers), Artificial Intelligence (475.2k followers) and GitHub (41.3k followers) on Product Hunt. Together, these topics include over 366.5k products, making this a competitive space to launch in.
Who hunted Weave Context Skills?
Weave Context Skills was hunted by Manuel Gil. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Manuel Gil