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An awesome collection of Jev use cases, workflows, and agent skills.
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- Last pushed
- Updated Oct 2026
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CommunityJev Tools & CLIs
Awesome Jev Skills
A collection of Jev demos, workflows, and agent skills for coding agents: five installable skills and 108 scenarios, installed by pointing Codex, Claude Code, or OpenCode at an agent prompt.
- Stars
- 629
- Language
- Python
- License
- MIT
- Reading time
- 3 min
- Published by
- Community
- Author
- wuyoscar
- Last verified
- Sep 2026
About this project
Jev demos, workflows and skills for coding agents. Jev chooses, classifies and scores. Your agent supplies evidence and takes action. Browse 66 projects and resources, 5 skills and 108 scenarios, with 14 recorded input/output pairs. New here? Give the install prompt to your agent. Already installed? Ask it to update. Update log · Contributing. Thanks to everyone who has contributed.
Quoted from the project's README. Read the full README.
Highlights
- Bundles 57 projects and resources, 5 skills, 108 scenarios, and 14 recorded input and output pairs.
- The default install route needs no Vercel account and no Node or npm; the agent installs into the current project and verifies offline.
- Published v0.2.0 still has 11 entry points while the five-entry collection is a source preview, so upgrade names change.
- Evals are published with negatives: 12 before-and-after pairs came out 12/12 baseline versus 10/12 for the fixed checkpoint.
- A calibration pilot matched 136 of 160 benchmark labels, but the confidence 0.9 and above group still contained 8 errors per 100.
Watch out
MIT-licensed, with linked projects keeping their own licenses. Needs a coding agent and a TypeSafe key for live calls; listed projects are not installed or tested by the collection.
Questions about this entry
Short answers drawn from the linked project or page.
No. The repo separates its own skills from the community projects it catalogs and says outright that listing does not mean installed or tested. What you actually get is the installable skills plus 108 scenarios and 14 recorded input and output pairs you can read before spending anything live.
The evals ship with negatives rather than only wins. Twelve before-and-after pairs scored 12/12 for the baseline and 10/12 for the fixed checkpoint, and a calibration pilot matched 136 of 160 benchmark labels while the confidence 0.9-and-above group still held 8 errors per 100. A published release also still exposes 11 entry points.
Point your coding agent at the install prompt. The default route needs no Vercel account and no Node or npm, installs into the current project, and verifies offline. Live calls do need a TypeSafe key, since the recorded pairs are samples rather than a bundled model you can run for free.
Read the caveats attached to each one. The 500 and 1,500-email inbox demos are labeled throughput that does not prove accuracy, jev-shield is described as an MCP screening signal and not a security boundary, and pg-jev is flagged as requiring plpython3u and superuser rights on the database.
It lists 66 projects and resources, 5 installable skills, 108 scenarios and 14 recorded input and output pairs. The projects are kept separate from the skills, and the README says listed does not mean installed or tested.
They are grouped by type, including Browser, Research, Desktop, Agent, Context, Security, Data, Search, Inbox, Messaging, Content and Video, with named examples such as Jev Ultrafast, winnow, pg-jev, jevsearch, JevPDF and Sponsor Skipper.
A browser that picks its next move, Tetris you can read as probabilities, a whale city, music assembled from musical choices, a code-review dashboard, and an illustrated Learn Jev guide. The September 20 update added semantic find, sponsor segments, story sensors, MIDI composition and local-model comparisons.
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X: The compaction plugin, in Chinese
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