amplicode-install
Installs the Amplicode IntelliJ plugin into IntelliJ IDEA (Ultimate/Community) and GigaIDE on the user's machine. Trigger explicitly when the user asks to install the Amplicode plugin into their IDE, in any language. Also trigger implicitly when another Spring Agent Toolkit skill (`spring-explore`, `spring-data-jpa`, `spring-data-jdbc`, `crud-rest-controller`, `dto-creator`, `mapper-creator`, `spring-security-configuration`, `spring-planning`, `java-debug`) detects that the Amplicode MCP server is not connected and delegates installation to this skill. After the IDE-plugin is installed, the user must open any project and click the "Настроить Spring Agent" button on the welcome screen — that is what triggers MCP auto-configuration and spring-skills install. This skill does NOT configure MCP itself. Skip GoLand, PyCharm, WebStorm, Rider, CLion, RubyMine, PhpStorm, DataGrip and other JetBrains products — only IDEA and GigaIDE are supported targets.
Works with
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diagnosing-bugs
mattpocock/skills
Diagnosis loop for hard bugs and performance regressions. Use when the user says "diagnose"/"debug this", or reports something broken/throwing/failing/slow.
explore-code
lllllllama/rigorpilot-skills
Rigor Improve implementation leaf skill for auditable candidate implementation in deep learning research repositories. Use when the researcher explicitly authorizes exploratory work on an isolated branch or worktree to transplant modules, adapt a backbone, add LoRA or adapter layers, replace a head, or stitch together meaningful low-risk migration ideas with rollback-aware records in `explore_outputs/`. Do not use for end-to-end exploration orchestration on top of `current_research`, trusted baseline reproduction, conservative debugging, environment setup, verified contribution claims, or default repository analysis.
safe-debug
lllllllama/rigorpilot-skills
Rigor Debug / Rigor Audit skill for deep learning research work. Use when the user pastes a traceback, terminal error, CUDA OOM, checkpoint load failure, shape mismatch, NaN loss symptom, or training failure and wants conservative diagnosis before any patching, with debug fixes clearly separated from research contributions. Do not use for broad refactoring, speculative adaptation, automatic exploratory patching, or general repository familiarization.
