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AutoHarness is a self-learning skill layer for Claude Code that automatically distills reusable skills from real work sessions, consolidates similar skills to avoid duplication, and prunes unused ones to keep the library clean. Skills are validated by actual adherence in use rather than offline benchmarks, and the system maintains a per-skill ledger of decisions and scenarios for transparency.

This plugin provides guardrails and debugging tools for research workflows, catching AI mistakes in paper reproduction and experiment tracking before they become costly. It includes citation validation, LaTeX checking, timezone handling, and evidence-first experiment comparison through shell-based guards and hooks.

This plugin provides a spec-driven development workflow system with four specialized agents that guide feature development through structured phases: Requirements (business analyst), Design (software architect), Tasks (development lead), and Implementation (strict task executor). The workflow enforces sequential execution with approval gates, zero-improvisation during coding, and produces comprehensive specification documents at each phase.

spec-flow provides a lightweight spec loop that guides you through planning a slice, executing a task, and then checkpointing progress or closing out work. It consists of two agents and one skill to streamline iterative development cycles.