4 plugins, each analyzed from its own files.
A Claude Code plugin providing comprehensive Jira integration through two specialized skills: jira-communication (API operations via Python CLI scripts) and jira-syntax (Wiki markup syntax, templates, validation). Auto-detects issue keys and supports both Jira Server/DC and Cloud deployments with zero MCP overhead.
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 five core skills for ecosystem navigation, skill creation, research pattern analysis, session reflection, and plugin development, with a UserPromptSubmit hook that forces skill evaluation on user input. It integrates via a shell-based activation script to enable automated skill assessment workflows.
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.