elixir-reviewing
Skill4 starsChanged 6 months agoNo licenceView on GitHub
Elixir code inspection — reviewing PRs and diffs, debugging bugs, and profiling performance. Covers the full audit toolkit: review checklists by area (architecture, control flow, OTP, testing, security, performance, configuration), severity classification, the debugging playbook (crashes, mailbox buildup, memory growth, slow response, flaky tests, Dialyzer warnings), the profiling playbook (:timer.tc, Benchee, fprof/eprof/tprof, :observer, memory analysis), performance pitfall catalog, refactor templates, and review-comment style. ALWAYS use when reviewing Elixir pull requests, diffs, or existing modules. ALWAYS use when debugging Elixir bugs — crashes, memory growth, mailbox buildup, flaky tests. ALWAYS use when profiling Elixir performance — finding bottlenecks, measuring, optimizing. ALWAYS use when asked to audit, critique, review, debug, or profile Elixir code. For designing from scratch load elixir-planning; for writing code load elixir-implementing.
In this repository5 other files it gives its agents.
- elixir-implementingSkill
- elixir-planningSkill
- extism-elixirSkill
- phoenix-liveviewSkill
- phoenixSkill
The file
Show its rules and text
We split this skill into the rules it gives an agent
15 rules. About 0 are common, 10 are distinctive, and 5 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈10
Distinctive · estimate
This author's own choices. Worth a look.
5
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — 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.