review-simplify
Skill4.9k starsChanged 4 months agoLicence not identifiedView on GitHub
Review one code change, or one design (an OpenSpec change or an architecture doc), for needless complexity and rate it Low, Medium, or High. Looks for scope that could be narrower, edge cases that do not deserve machinery, state kept in several places, boundaries that only forward, and code or design parts whose reason to exist is gone. Use when asked to "simplify this diff", "is this overbuilt", "review this PR for simplicity", "review this spec or design for simplicity", or when a review loop runs the simplify lens. Read-only; it reports findings and does not fix them.
2 other projects use a version of this.
Adopted by
Steady: 0 new projects took it in the last 4 weeks, none the 4 weeks before.thin data
Most recently taken up by
- foverse/seoversetheir own version, first seen Nov 8, 2026
- every-app/open-seotheir own version, first seen Oct 8, 2026
Who's talking about Agenta-AI/agenta
- @pythonhub.dev“agenta The open-source LLMOps platform: prompt playground, prompt management, LLM evaluation, and LLM …”Bluesky · Dec 13, 2024 · 7 likes
- @vornamemitd.bsky.social“Would be interesting to see how they fare against open source approaches like Openlit …”Bluesky · Nov 25, 2024 · 2 likes
- @github-trending-js.bsky.social“📦 Agenta-AI / agenta ⭐ 4,640 (+63) 🗒 TypeScript Agenta is a workspace where you and your team build …”Bluesky · Aug 29, 2026 · 1 likes
- sudosubin/agents.nix“agent-plugins.github.agenta-ai.agenta: 0.128.10 → 0.128.11”GitHub · Nov 7, 2026
- sudosubin/agents.nix“agent-skills.github.agenta-ai.agenta: 0.128.9 → 0.128.11”GitHub · Nov 7, 2026
The biggest 5 of 53 mentions linking to the repository that our crawl found. Each line is their own headline.
See all 53
Talked about on GitHub and Bluesky (53 times).
On GitHub · 50
- Nov 7, 2026agent-plugins.github.agenta-ai.agenta: 0.128.10 → 0.128.11 — sudosubin/agents.nix0 reactions
- Nov 7, 2026agent-skills.github.agenta-ai.agenta: 0.128.9 → 0.128.11 — sudosubin/agents.nix0 reactions
- Nov 7, 2026agent-plugins.github.agenta-ai.agenta: 0.128.9 → 0.128.10 — sudosubin/agents.nix0 reactions
- Nov 6, 2026agent-skills.github.agenta-ai.agenta: 0.128.8 → 0.128.9 — sudosubin/agents.nix0 reactions
- Nov 6, 2026agent-plugins.github.agenta-ai.agenta: 0.128.8 → 0.128.9 — sudosubin/agents.nix0 reactions
45 more on GitHub
- Nov 6, 2026agent-plugins.github.agenta-ai.agenta: 0.128.7 → 0.128.8 — sudosubin/agents.nix0 reactions
- Nov 5, 2026agent-skills.github.agenta-ai.agenta: 0.128.7 → 0.128.8 — sudosubin/agents.nix0 reactions
- Nov 5, 2026agent-skills.github.agenta-ai.agenta: 0.128.6 → 0.128.7 — sudosubin/agents.nix0 reactions
- Nov 5, 2026agent-plugins.github.agenta-ai.agenta: 0.128.6 → 0.128.7 — sudosubin/agents.nix0 reactions
- Nov 4, 2026agent-skills.github.agenta-ai.agenta: 0.128.4 → 0.128.6 — sudosubin/agents.nix0 reactions
- Nov 4, 2026agent-plugins.github.agenta-ai.agenta: 0.128.4 → 0.128.6 — sudosubin/agents.nix0 reactions
- Nov 3, 2026agent-plugins.github.agenta-ai.agenta: 0.128.3 → 0.128.4 — sudosubin/agents.nix0 reactions
- Nov 3, 2026agent-skills.github.agenta-ai.agenta: 0.128.2 → 0.128.4 — sudosubin/agents.nix0 reactions
- Nov 3, 2026agent-plugins.github.agenta-ai.agenta: 0.128.2 → 0.128.3 — sudosubin/agents.nix0 reactions
- Nov 2, 2026agent-skills.github.agenta-ai.agenta: 0.128.0 → 0.128.2 — sudosubin/agents.nix0 reactions
- Nov 2, 2026agent-plugins.github.agenta-ai.agenta: 0.128.0 → 0.128.2 — sudosubin/agents.nix0 reactions
- Oct 30, 2026agent-plugins.github.agenta-ai.agenta: 0.127.3 → 0.128.0 — sudosubin/agents.nix0 reactions
- Oct 30, 2026agent-skills.github.agenta-ai.agenta: 0.127.3 → 0.128.0 — sudosubin/agents.nix0 reactions
- Oct 30, 2026agent-plugins.github.agenta-ai.agenta: 0.127.2 → 0.127.3 — sudosubin/agents.nix0 reactions
- Oct 30, 2026agent-skills.github.agenta-ai.agenta: 0.127.2 → 0.127.3 — sudosubin/agents.nix0 reactions
- Oct 30, 2026agent-plugins.github.agenta-ai.agenta: 0.127.1 → 0.127.2 — sudosubin/agents.nix0 reactions
- Oct 30, 2026agent-skills.github.agenta-ai.agenta: 0.127.1 → 0.127.2 — sudosubin/agents.nix0 reactions
- Oct 29, 2026agent-plugins.github.agenta-ai.agenta: 0.127.0 → 0.127.1 — sudosubin/agents.nix0 reactions
- Oct 29, 2026agent-skills.github.agenta-ai.agenta: 0.126.0 → 0.127.1 — sudosubin/agents.nix0 reactions
- Oct 29, 2026agent-plugins.github.agenta-ai.agenta: 0.126.0 → 0.127.0 — sudosubin/agents.nix0 reactions
- Oct 28, 2026agent-plugins.github.agenta-ai.agenta: 0.125.3 → 0.126.0 — sudosubin/agents.nix0 reactions
- Oct 28, 2026agent-skills.github.agenta-ai.agenta: 0.125.3 → 0.126.0 — sudosubin/agents.nix0 reactions
- Oct 27, 2026test(dogfood): Agenta — async Postgres LLMOps schema — yevheniidehtiar/hyper-admin0 reactions
- Oct 27, 2026agent-plugins.github.agenta-ai.agenta: 0.125.2 → 0.125.3 — sudosubin/agents.nix0 reactions
- Oct 27, 2026agent-skills.github.agenta-ai.agenta: 0.125.1 → 0.125.3 — sudosubin/agents.nix0 reactions
- Oct 27, 2026agent-plugins.github.agenta-ai.agenta: 0.125.1 → 0.125.2 — sudosubin/agents.nix0 reactions
- Oct 26, 2026agent-plugins.github.agenta-ai.agenta: 0.125.0 → 0.125.1 — sudosubin/agents.nix0 reactions
- Oct 26, 2026agent-skills.github.agenta-ai.agenta: 0.125.0 → 0.125.1 — sudosubin/agents.nix0 reactions
- Oct 26, 2026agent-plugins.github.agenta-ai.agenta: 0.124.2 → 0.125.0 — sudosubin/agents.nix0 reactions
- Oct 26, 2026agent-skills.github.agenta-ai.agenta: 0.124.2 → 0.125.0 — sudosubin/agents.nix0 reactions
- Oct 25, 2026agent-plugins.github.agenta-ai.agenta: 0.124.1 → 0.124.2 — sudosubin/agents.nix0 reactions
- Oct 25, 2026agent-skills.github.agenta-ai.agenta: 0.124.1 → 0.124.2 — sudosubin/agents.nix0 reactions
- Oct 25, 2026agent-skills.github.agenta-ai.agenta: 0.124.0 → 0.124.1 — sudosubin/agents.nix0 reactions
- Oct 25, 2026agent-plugins.github.agenta-ai.agenta: 0.123.1 → 0.124.1 — sudosubin/agents.nix0 reactions
- Oct 25, 2026agent-skills.github.agenta-ai.agenta: 0.123.1 → 0.124.0 — sudosubin/agents.nix0 reactions
- Oct 24, 2026agent-plugins.github.agenta-ai.agenta: 0.123.0 → 0.123.1 — sudosubin/agents.nix0 reactions
- Oct 24, 2026agent-skills.github.agenta-ai.agenta: 0.123.0 → 0.123.1 — sudosubin/agents.nix0 reactions
- Oct 24, 2026agent-plugins.github.agenta-ai.agenta: 0.122.11 → 0.123.0 — sudosubin/agents.nix0 reactions
- Oct 24, 2026agent-skills.github.agenta-ai.agenta: 0.122.11 → 0.123.0 — sudosubin/agents.nix0 reactions
- Oct 23, 2026agent-plugins.github.agenta-ai.agenta: 0.122.10 → 0.122.11 — sudosubin/agents.nix0 reactions
- Oct 23, 2026agent-skills.github.agenta-ai.agenta: 0.122.10 → 0.122.11 — sudosubin/agents.nix0 reactions
- Oct 21, 2026agent-plugins.github.agenta-ai.agenta: 0.122.9 → 0.122.10 — sudosubin/agents.nix0 reactions
- Oct 21, 2026agent-skills.github.agenta-ai.agenta: 0.122.9 → 0.122.10 — sudosubin/agents.nix0 reactions
- Oct 20, 2026agent-plugins.github.agenta-ai.agenta: 0.122.8 → 0.122.9 — sudosubin/agents.nix0 reactions
- Oct 20, 2026agent-skills.github.agenta-ai.agenta: 0.122.8 → 0.122.9 — sudosubin/agents.nix0 reactions
On Bluesky · 3
- Dec 13, 2024agenta The open-source LLMOps platform: prompt playground, prompt management, LLM evaluation, and LLM Observability all in one place.… — @pythonhub.dev7 likes and reposts
- Nov 25, 2024Would be interesting to see how they fare against open source approaches like Openlit (github.com/openlit/open...) or Agenta… — @vornamemitd.bsky.social2 likes and reposts · 1 reply
- Aug 29, 2026📦 Agenta-AI / agenta ⭐ 4,640 (+63) 🗒 TypeScript Agenta is a workspace where you and your team build agents and automations. — @github-trending-js.bsky.social1 likes and repost
Other versions2 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 2
- every-app/open-seo★ 27ksame name
- foverse/seoverse★ 4same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository39 other files it gives its agents.
- AGENTS.mdAGENTS.md
- api/AGENTS.mdAGENTS.md
- hosting/AGENTS.mdAGENTS.md
- web/AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- add-announcementSkill
- add-harnessSkill
- agenta-package-practicesSkill
- agent-release-gateSkill
- create-changelog-announcementSkill
- design-interfacesSkill
- gitbutler-stacksSkill
- implement-featureSkill
- keep-docs-in-syncSkill
- mobile-app-structureSkill
- mobile-motion-patternsSkill
- mobile-shadcn-conventionsSkill
- naming-and-resourcesSkill
- plain-writingSkill
- planner-featureSkill
- prepare-pr-reviewSkill
- resolve-findingsSkill
- review-correctnessSkill
- review-namingSkill
- review-slopSkill
- scan-codebaseSkill
- style-editingSkill
- sync-findingsSkill
- sync-model-catalogSkill
- test-codebaseSkill
- test-designSkill
- triage-findingsSkill
- update-api-docsSkill
- update-llm-model-listSkill
- write-docsSkill
- write-issueSkill
- write-pr-descriptionSkill
- write-social-announcementSkill
- write-template-playbooksSkill
The file
We split this skill into the rules it gives an agent
6 rules. About 0 are common, 4 are distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈4
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
The licence could not be identified — read it at the source. We count its rules but don't quote them. Read them on GitHub.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

