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Found 2,444 Skills
Adopt multiple expert personas sequentially for complex problem analysis from diverse perspectives. Single-agent only — do NOT spawn sub-agents.
Automatically creates semantic Git checkpoint commits during AI coding sessions. Replaces opaque platform checkpoints with transparent, queryable Git commits using Conventional Commits format with Git Trailers. You MUST follow this skill whenever you make code changes — commit after each meaningful edit.
Use when starting any RLM requirement to set up an isolated git worktree. REQUIRED before Phase 1 - creates isolated workspace, verifies clean test baseline, and prevents main branch pollution.
Complete ClickHouse operations guide for DevOps and SRE teams managing production deployments. Provides practical guidance on monitoring essential metrics (query latency, throughput, memory, disk), introspecting system tables, performance analysis, scaling strategies (vertical and horizontal), backup/disaster recovery, tuning at query/server/table levels, and troubleshooting common issues. Use when diagnosing ClickHouse problems, optimizing performance, planning capacity, setting up monitoring, implementing backups, or managing production clusters. Includes resource management strategies for disk space, connections, and background operations plus production checklists.
Systematic documentation audit and maintenance. This skill should be used when documentation may be stale, missing, or misorganized — after feature work, refactors, dependency upgrades, or as a periodic health check. It prescribes folder structure for docs/ and manual/, dispatches haiku subagents for codebase/doc scanning, and routes doc creation to specialized agents (reference-builder, technical-writer, learning-guide) with docs-architect as quality gate.
Workflow lifecycle and tool-export operator for ASCN workspace MCP control tools.
Use when creating frosted glass effects, transparent overlays, or modern glass UI. Covers blur, layering, colored shadows.
Generate financial analytics and insights from ~/Documents/finances/ data. Terminal report shows: net worth trends (30d/90d/1y), asset allocation, liability table with APR and monthly interest, cash flow (last 30 days), Bitcoin detail with sparkline. HTML dashboard: interactive plotly charts for all of the above over time. Use when: reviewing finances, answering questions about net worth, spending patterns, debt paydown progress, Bitcoin holdings, asset allocation. Keywords: financial report, net worth, spending, cash flow, debt, liabilities, bitcoin, how am I doing financially, finances summary, show me my finances, portfolio.
Run git-workspace-review first to understand which tests need updates. Use when updating existing tests, generating new tests for features, enhancing test quality, ensuring detailed coverage, pre-commit validation. Do not use when auditing test suites - use pensive:test-review. DO NOT use when: writing production code - focus on implementation first.
Comprehensive code investigation and audit tool. Discovers all project features, then dispatches parallel subagents to analyze issues, risks, dead code, missing functionality, and redundancies. Produces a prioritized risk report. Use this skill when the user asks to "investigate code", "audit project", "find risks", "check code quality", "analyze codebase", "what's wrong with this code", "project health check", "code review entire project", "find dead code", "find redundant code", or any request for a thorough codebase analysis.
Expert patterns for Godot 3D PBR materials using StandardMaterial3D including albedo, metallic/roughness workflows, normal maps, ORM texture packing, transparency modes, and shader conversion. Use when creating realistic 3D surfaces, PBR workflows, or material optimization. Trigger keywords: StandardMaterial3D, BaseMaterial3D, albedo_texture, metallic, metallic_texture, roughness, roughness_texture, normal_texture, normal_enabled, orm_texture, transparency, alpha_scissor, alpha_hash, cull_mode, ShaderMaterial, shader parameters.
Automation skill for designing, verifying, and improving auth, cost, logging, and security compliance based on the internal AI tool mandatory implementation guide (P0/P1). Supports the full lifecycle of RBAC design, Gateway principles, Firestore policy, behavior logs, cost transparency, and the criteria verification system.