awesome-slash

awesome-slash

Automate the entire dev workflow. Not just the coding.

11 plugins · 40 agents · 26 skills · 26k lines of lib code · 3,357 tests · 3 platforms

Commands · Installation · Website · Discussions

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AI models can write code. That's not the hard part anymore. The hard part is everything else—picking what to work on, managing branches, reviewing output, cleaning up artifacts, handling CI, addressing comments, deploying. awesome-slash automates the entire workflow, not just the coding.

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Building custom skills, agents, hooks, or MCP tools? agnix is the CLI + LSP linter that catches config errors before they fail silently - real-time IDE validation, auto suggestions, auto-fix, and 155 rules for Cursor, Claude Code, Cline, Copilot, Codex, Windsurf, and more.

What This Is

Production-ready skills, agents, and commands for Claude Code, OpenCode, and Codex CLI.

Install the plugins → get the skills → your agents become more capable. Each piece was built to work with the others. The whole system is E2E tested.

From messy project to clean codebase. From drifted plan to focused execution. From task to merged PR.

Works with: Claude Code · OpenCode · Codex CLI

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The Approach

Code does code work. AI does AI work.

• Detection: regex, AST analysis, static analysis—fast, deterministic, no tokens wasted
• Judgment: LLM calls for synthesis, planning, review—where reasoning matters
• Result: 77% fewer tokens for /drift-detect vs multi-agent approaches, certainty-graded findings throughout

Certainty levels exist because not all findings are equal:

Level	Meaning	Action
HIGH	Definitely a problem	Safe to auto-fix
MEDIUM	Probably a problem	Needs context
LOW	Might be a problem	Needs human judgment

This came from testing on 1,000+ repositories.

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Commands

Command	What it does
/next-task	Task → exploration → plan → implementation → review → ship
/agnix	Lint agent configs - 155 rules for Skills, Memory, Hooks, MCP across 10+ AI tools
/ship	Branch → PR → CI → reviews addressed → merge → cleanup
/deslop	3-phase detection pipeline, certainty-graded findings
/perf	10-phase performance investigation with baselines and profiling
/drift-detect	AST-based plan vs code analysis, finds what's documented but not built
/audit-project	Multi-agent code review, iterates until issues resolved
/enhance	Analyzes prompts, agents, plugins, docs, hooks, skills
/repo-map	AST symbol and import mapping via ast-grep
/sync-docs	Finds outdated references, stale examples, missing CHANGELOG entries
/learn	Research any topic, gather online sources, create learning guide with RAG index

Each command works standalone. Together, they form complete workflows.

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Skills

26 skills included across the plugins: