Plugin

skillers

Learn from your workflow patterns and suggest skills, hooks, and agents to automate the repetitive work. Skillers reads your AI conversation transcripts (Claude Code, Codex CLI, OpenCode), extracts recurring patterns into themed weighted-knowledge files, then recommends concrete skills/hooks/agents to codify them. Two phases: `/skillers compact` analyzes transcripts and writes `.skillers/<theme>.md` knowledge files; `/skillers recommend` reads accumulated knowledge plus your existing plugin/skill ecosystem and suggests automations that don't already exist. The output is "here are 4 patterns I see you doing manually every week and the exact SKILL.md / hooks.json that would automate each."

• Published source
• Repository

Analysed

12 October 2026

Last observed

13 October 2026

What the code does

What does this mean?

These are capabilities our static analysis found in the latest published version. They describe what the code can do, not whether it is malicious: many tools need shell access or the network to do their job. Use them to decide what to check before installing.

Static analysis found none of the capabilities we track, such as shell commands, network requests or file writes, in the latest version.

Having a capability is not wrongdoing; many tools need these to do their job. It tells you what to check before you install.

This is public metadata, not a safety certification or complete assessment. Static analysis cannot establish what a tool does at runtime.