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Found 83 Skills
Validates recently written code against project-specific development guidelines from .trellis/spec/. Identifies changed files via git diff, discovers applicable spec modules, runs lint and typecheck, and reports guideline violations. Use when code is written and needs quality verification, to catch context drift during long sessions, or before committing changes.
Use when converting Java source files to idiomatic Kotlin, when user mentions "java to kotlin", "j2k", "convert java", "migrate java to kotlin", or when working with .java files that need to become .kt files. Handles framework-aware conversion for Spring, Lombok, Hibernate, Jackson, Micronaut, Quarkus, Dagger/Hilt, RxJava, JUnit, Guice, Retrofit, and Mockito.
Issue Workflow Stage 3——Fix code precisely based on confirmed root cause and solution, verify the effect, and document it in {slug}-fix-note.md. This is the final stage of the issue workflow—no verification loop means the workflow is incomplete. Two entry points: the standard path is triggered from easysdd-issue-analyze (with existing {slug}-analysis.md), and the quick path is triggered directly from easysdd-issue-report (without {slug}-analysis.md, as the root cause was determined by AI reading code during the report stage). Trigger scenarios: user says 'Start fixing the bug', 'Fix according to analysis', 'Start modifying code'. During repair, only modify the files stated in the solution; do not optimize casually or introduce new abstractions—these actions will make the scope spread to untraceable levels.
Use before claiming work is complete, fixed, or tested; before committing or creating a PR — you must run verification commands and confirm the output before claiming success; always back up assertions with evidence
Synthesize outputs from multiple AI models into a comprehensive, verified assessment. Use when: (1) User pastes feedback/analysis from multiple LLMs (Claude, GPT, Gemini, etc.) about code or a project, (2) User wants to consolidate model outputs into a single reliable document, (3) User needs conflicting model claims resolved against actual source code. This skill verifies model claims against the codebase, resolves contradictions with evidence, and produces a more reliable assessment than any single model.
Write Rust tests to verify correctness of Rust code.
Run the sefirot loop and confirm with the user if there are any questions
Intelligently upgrade npm dependencies with breaking change research for major version updates. Use when the user asks to "update dependencies", "upgrade npm packages", "check for updates", or "update npm deps".
Run verification commands and confirm output before claiming success. Use when about to claim work is complete, fixed, or passing, before committing or creating PRs.
Guide for extracting code or pseudocode from images using OCR and implementing it correctly. This skill should be used when tasks involve reading code, pseudocode, or algorithms from images (PNG, JPG, screenshots) and executing or implementing the extracted logic.
Run /check-onboarding, then fix the highest priority onboarding issue. Creates one fix per invocation. Invoke again for next issue. Use /log-onboarding-issues to create issues without fixing.
Code quality gatekeeper and auditor. Enforces strict quality gates, resolves the AI verification gap, and evaluates codebases across 12 critical dimensions with evidence-based scoring. Use when auditing code quality, reviewing AI-generated code, scoring codebases against industry standards, or enforcing pre-commit quality gates. Use for quality audit, code review, codebase evaluation, security assessment, technical debt analysis.