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By agent-sh
Learn from your workflow patterns and suggest skills, hooks, and agents to automate repetitive work
npx claudepluginhub agent-sh/skillers --plugin skillersExtract workflow patterns from conversation transcripts and compact into themed knowledge files. Reads transcripts from Claude Code, Codex, and OpenCode. Identifies recurring patterns, clusters by theme, and writes weighted knowledge.
Analyze accumulated knowledge and suggest skills, hooks, and agents to automate repetitive work. Checks existing ecosystem before recommending.
Learn from your workflow patterns and suggest skills, hooks, and agents to automate repetitive work.
/skillers compact - Analyze transcripts and extract recurring patterns into weighted knowledge/skillers recommend - Get actionable suggestions for automation| Command | Description |
|---|---|
/skillers show | Show status, transcript stats, and knowledge themes |
/skillers compact [--days=N] | Analyze transcripts and extract patterns |
/skillers recommend | Suggest skills, hooks, and agents to create |
Transcripts (Claude Code, Codex CLI, OpenCode)
↓ /skillers compact (auto-detects installed tools)
Knowledge themes (weighted JSON, frequency + recency + cross-session)
↓ /skillers recommend (ecosystem-aware)
Ranked suggestions → user picks → scaffold via existing tools
Uses power tools
Uses Bash, Write, or Edit tools
Share bugs, ideas, or general feedback.
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Automatically detect workflow patterns, generate skills, and load them dynamically mid-session
Discover and create Claude Code skills from Glean work patterns
Agent Skills for improving SKILL.md files: mine repeated workflows from history, personalize and audit existing skills, or generalize personal skills for publication.
I (Claude) act as you - Build knowledge base from your notes.
Curate auto-memory, promote learnings to CLAUDE.md and rules, extract proven patterns into reusable skills.
Auto-improving AI sub-agents that learn from their mistakes across sessions
Deep repository analysis to realign project plans with actual code reality - discovers drift, gaps, and produces prioritized reconstruction plans
Master workflow orchestrator with autonomous task-to-production automation, quality gates, and multi-agent review
Plugin structure and tool use analyzer - validates plugin.json, MCP tools, and security patterns
AI slop cleanup with minimal diffs and behavior preservation
Multi-agent iterative code review until zero issues remain
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