vectorize-io · Agent Skills

5 skills with substantive source documentation and an official publisher or observed installation demand. Read each skill’s original documentation through its card.

vectorize-io

Community

code-review

Review changed code against project standards. Checks for missing tests, dead code, type safety, lint issues, and coding conventions. Run after completing any implementation work.

installazioni

1

GitHub Stars

51,7K

Aggiornato

19 ott

MIT1 File

Vedi dettagli →

vectorize-io

Community

hindsight-architect

Expert memory architect. Understands your application, identifies where memory adds value, and produces an implementation plan with bank config, tag schema, and code.

installazioni

1

GitHub Stars

51,7K

Aggiornato

19 ott

MIT1 File

Vedi dettagli →

vectorize-io

Community

hindsight-docs

Complete Hindsight documentation for AI agents. Use this to learn about Hindsight architecture, APIs, configuration, and best practices.

installazioni

1

GitHub Stars

52,1K

Aggiornato

20 ott

MIT163 File

Vedi dettagli →

vectorize-io

Community

ship-it

Take a PR from review to merged — run the repo's code-review skill on it in a loop (review, fix, re-review) until nothing is left to fix, applying ALL fixes on the PR branch, wait for CI green, then squash-merge. Use when asked to "ship it", "ship PR N", or "review, fix and merge" a PR.

installazioni

1

GitHub Stars

51,7K

Aggiornato

19 ott

MIT1 File

Vedi dettagli →

vectorize-io

Community

triage

Triage a GitHub issue or a reported problem — check it is real and not by design (code, git history, PRs, Hindsight memory), find the code and patterns to reuse, build a proof-of-concept fix and prove it solves the problem, then explain the problem and the fix in behaviours before doing the full fix. Use when asked to "triage N", "look into this issue", or "is this a real bug".

installazioni

1

GitHub Stars

51,7K

Aggiornato

19 ott

MIT1 File

Vedi dettagli →